AI Marketing

In this episode, host Mark talks with James Thornton, CEO of Daz 3D / Tafi, about what it really means to build an AI-centric business. James shares how his company evolved from a 3D content and avatar business into a key AI data provider for some of the world's largest tech and gaming brands. They discuss: The shift from scraping web data to bespoke, rights-clean AI training data Using AI across product, marketing, and customer service workflows Real-world applications in VR, robotics, gaming, and product visualization How AI is transforming email marketing and localization What the next 3 years of AI adoption will look like inside typical organizations Key Topics & Timestamps [0:00:00] – Introduction & Guest Background Mark opens the show and frames the topic: AI-centric businesses with a marketing slant. James introduces himself and his company Daz 3D / Tafi. His background: CEO at Daz for over a decade Previous role growing a creative product brand from near zero to a $1B retail brand in 3.5–4 years How Daz has continually pivoted into AI trends [0:01:18] – What It Means to Be an AI-Centric Business James defines AI-centric as "AI-first" thinking across the business, especially in marketing. Emphasis on balancing AI with people, expertise, and intuition, rather than AI replacing human judgment. [0:01:37] – Daz / Tafi's Evolution into AI Company roots: 25-year-old business with a strong direct-to-consumer freemium model Deep community of 3D digital content creators (avatars, products for gaming, etc.) Past pivots: work in Web3 and NFTs, then parlaying that into today's AI data and services. They now both: Support other companies' AI initiatives Use AI internally to streamline content creation and business workflows [0:03:37] – How They Help Other Companies with AI Core specialty: 3D digital content, avatar systems, and digital assets. Use AI and procedural tools to: Scale their content library Produce rights-clean, structured, annotated AI training data Customers include top tech, gaming, and enterprise brands training foundation models for: Text-to-character Product creation & visualization (including physical product development) Robotics and other AI applications [0:04:51] – Concrete Benefits of AI for Clients and Daz Central thesis: Good AI requires high-quality training data. For clients: Bespoke, properly licensed data for training a wide range of models For Daz's own business: AI embedded in product workflows and content production AI in product search, customer service, QA, and other functions to drive efficiency and effectiveness [0:06:07] – AI Agents and Localization Use of AI agents in customer service to handle technical tickets and customer questions. Heavy focus on localization: AI to adapt website and e-commerce for global markets Integrating translation tools directly into their software so customers can use products in their native language James calls this a "huge lift" for the business. [0:07:45] – Tools: Open "Claw" and Enterprise AI Options They use Open "Claw" (contextually, likely a reference to a general-purpose LLM) through virtual machines across business units, including marketing. Acknowledge recent changes in that ecosystem and the need to adapt. Considering more enterprise-focused alternatives, such as the "Nemo Claw" and other corporate-friendly solutions, with an eye on governance and parameters. [0:08:54] – Their Process for Helping Enterprise Clients First step: deeply understand voice of the customer and specific AI data needs. Industry shift: Moving away from scraping the internet or generic licensing for training data Toward custom, bespoke training sets Unique position of Daz / Tafi: Own the full rights to their 3D content library (avatars, scenes, props) Avoid ethical and legal issues around unauthorized training data Process: li::marker]:font-[sans-serif]" start="1"> Scope the client's needs. Use AI and internal workflows to generate customized datasets. Example: For a major tech company building VR headset experiences, they created tens of thousands of unique characters, avatars, clothing, and assets to train their models. James notes they might be the only company able to deliver this level of tailored solution at that scale. [0:11:34] – The Next 3 Years: How AI Changes Organizations Based on discussions with CEOs and senior leaders: Debate continues on whether AI creates or eliminates jobs; James personally believes it will create jobs. Near-unanimous view: every company must integrate AI into workflows. Employees and companies with a clear AI strategy will win versus those without one. Expectation: Continued job creation plus a strong push for AI-centric efforts in every part of the business Focus on efficiency, output, and more bespoke customer solutions [0:13:25] – Advice to Marketers & Final Takeaways James emphasizes "just get started" and experiment with AI. For marketers: AI enables hyper-specific adaptation to customer needs. Allows new ways of marketing that aren't feasible manually today. Example from their own marketing stack: Their largest marketing channel is email They manage a seven-figure, vetted email list mailed daily AI is used to: Optimize send times Customize products and offers by demographic and other signals Overall message: Embrace AI to become more effective and deliver better, more tailored customer experiences. [0:14:58] – How to Contact James Website: Daz3D – daz3d.com Direct email: [email protected] James invites listeners to contact him directly with questions.

In this episode of the AI Marketing Podcast, host Mark Fidelman sits down with David Amar, founder of Makina (a new conference dedicated to physical AI), to explore how robots and humanoids will change the future of marketing. They discuss why robots are such powerful brand activations, when we might see in‑home humanoid housekeepers, how China is leading on hardware while the West leads on software, and why 2025–2026 feels like the "GPT moment" for physical AI. David also shares what to expect at Makina in Paris on July 7 and why marketers should get ahead of this trend now. Guest David Amar Background in computer science and neuroscience (UCL) Formerly worked in prosthetics Founder of Makina, a conference that brings together the fragmented physical AI ecosystem: humanoid builders, robot "brain"/OS providers, capital, industrial partners, and talent Key Topics & Timestamps 1. Why Robots Are Marketing Gold [0:00:00 – 0:02:24] David's background and the launch of Makina Why robots are "premium marketing material": Robots tap into deep cultural fascination (e.g., Star Wars, Star Trek) Simply announcing "Robot X/Y will be on site" can materially boost event attendance Humanoids as especially compelling because of their uncanny, human-like form "I don't think I've ever met somebody that says this isn't interesting… It's just premium marketing material." – David [0:01:31] 2. Timeline: When Physical AI Hits Everyday Life [0:02:24 – 0:03:25] David's long‑range outlook: Short term: impressive demos, but still lots of technical bottlenecks ~10–15 years: expect robots/humanoids in places we never imagined, with deep dependence on them Contrast with digital AI: We're already "slaves" to ChatGPT and cloud AI for knowledge work Physical dependence on robots will follow later 3. How Robots Show Up in Marketing (Beyond a Robot at a Desk) [0:03:25 – 0:06:27] Robots won't replace marketers by typing at a desk—that's the realm of LLMs and digital AI Instead, robots will act as: Brand avatars and mascots (e.g., "the Amazon robot," "the Walmart robot") Physical activations at events, retail, and public spaces Product demo agents in stores, on the street, or wherever target audiences gather Comparison to today's street activations (e.g., sign spinners) but in a far more advanced, interactive form Emotional/branding angle: A charming C‑3PO‑style humanoid pitching products can be more captivating than a celebrity "There's just something more charming about a C‑3PO showing the new Coca‑Cola than just a regular old Joe… even if it's George Clooney." – David [0:05:33] 4. Humanoids vs. "Robots" – What's the Difference? [0:06:27 – 0:07:55] Humanoid: Robot with human‑like physiology and form (height, posture, movement) Tends to get anthropomorphic traits projected onto it Robot: Any robotic form, e.g. a single robotic arm, a robot dog, or R2‑D2‑style platforms Long‑term: Mark expects humanoids to become increasingly indistinguishable from humans in 20+ years 5. In‑Home Humanoids: How Close Are We Really? [0:07:55 – 0:11:29] West vs. Asia split: West: stronger on software and AI models Asia (especially China): stronger on hardware and shipping units at scale Today you can already order multiple Chinese robot models online and have them delivered within a month Current leading players mentioned: 1X – focused on household/housekeeping tasks Sanctuary (Sunday Robotics) and others delivering early trial units Reality check on timelines: No one truly knows, but David's informed estimate: 5–7 years to order functional in‑home humanoids online Dependent on breakthroughs in: Fine manipulation of small objects Robust computer vision Autonomous navigation in unmapped environments Many "impressive" demos are partly marketing: Used to raise capital, build momentum, and buy time while teams fight through technical bottlenecks 6. Data, Compute, and How These Robots Actually Learn [0:10:42 – 0:13:16] Today's deployed robots are often trial models used primarily to: Collect huge amounts of real‑world data Train the next generation of more capable robots Data and compute needs: Humanoids need even more data than LLMs: Touch, force feedback, vision, balance, navigation, etc. Massive compute, similar or greater than what's used for digital AI Where the compute lives: Training: in large data centers, often the same infrastructure used for AI On‑device inference: Onboard boards like NVIDIA Jetson inside the robot's "chest" Local models run on-device, optionally connected via Wi‑Fi for streaming data and updates Most robots in the wild are still tightly constrained and far from general-purpose autonomy 7. The Makina Physical AI Event in Paris [0:13:59 – 0:19:11] Date: July 7 Location: Station F, 13th district of Paris (central), the world's largest startup campus Format: One‑day dedicated physical AI conference Paired with the RAISE Summit (July 8–9), a broader AI conference Makina's mission: Fix the current ecosystem problem where events are: "Tech geeks talking to tech geeks" "Commercial to commercial" with limited cross‑pollination Bring together the full vertical stack of physical AI: Humanoid builders Robot brain / OS providers Investors and capital Industrial partners and adopters Talent and researchers Expected scale & hardware: Targeting 1,500+ attendees David's goal: 18–20 robots on site, split between stage demos and exhibitor robots Notable participants mentioned: Boston Dynamics (CEO Amanda) 1X (CEO) Google DeepMind Robotics leadership Other leading US, European, and Asian robotics companies "We really are trying to regroup the very fragmented ecosystem that is physical AI… the vertical stack of physical AI in terms of ecosystems." – David [0:13:59] 8. Why Marketers Should Care (Now, Not Later) [0:16:43 – 0:18:07] & throughout Humanoids and robots as future marketing must‑haves: Likely every major brand will have a robot avatar/mascot within ~10 years Use cases: Product demos & in‑store experiences Public activations and stunts Content creation, fail/reaction videos, and social media hooks Strategic advantage: Marketers who understand physical AI early will: Shape the first killer use cases Align brand positioning with new capabilities Avoid being late adopters in a fast‑moving bull run David's framing: Physical AI is in a "bull run", possibly a GPT‑moment equivalent for the physical world Huge capital flows, many new robotics startups, and intense industrial interest 9. Robotics Reality Check: Hype vs. Capabilities [0:19:11 – 0:21:59] GTC/NVIDIA event anecdote: Few humanoids present, many robots were wired or constrained Mostly robot dog style units; limited truly autonomous humanoids Chinese hardware advantage: Companies like Unitree and others can ship robot dogs today, often ahead of US peers on commercialization Software and usefulness still lag: Hardware works, but what you can actually make them do is still narrow Many current units are about data collection more than true deployment Industrial partnerships: Examples: hexagon robotics & Mercedes, Figure & BMW, Boston Dynamics & Hyundai Present robots can perform very specific, tightly defined tasks with minimal uncertainty Outside of that, most can still just walk, dance, wave, and pose for marketing "We're safe, and the Terminator is not coming next year." – David [0:21:59]  

AI is moving faster than most marketing organizations can handle and many AI initiatives are quietly failing. In this episode of the AI Marketing Podcast, host Mark Fidelman sits down with Steve Wunker, innovation expert, former collaborator of Clayton Christensen, and author of AI and the Octopus Organization, to break down: Why treating AI like a "tech upgrade" is a massive mistake How most companies are "AI-ifying broken processes" instead of rethinking them The difference between pilots that learn vs. pilots that waste time Why AI doesn't replace great marketers, it amplifies them How marketing orgs can cut campaign timelines in half (real-world example) Why experimentation, not tools, is the real AI advantage What skills will keep marketers employable over the next 5 years How AI changes the relationship between marketing, sales, and leadership Why AGI isn't the benchmark people think it is The Octopus Organization model for building truly AI-native companies Steve shares practical frameworks, real case studies, and a clear roadmap for CMOs, VPs, and marketers who want results and not hype. 📘 Steve's book: AI and the Octopus Organization 🔗 Available on Amazon 🌐 https://aiandtheoctopus.com 👤 Connect with Steve Wunker on LinkedIn   00:00 – Welcome to AI Marketing Podcast 00:29 – Steve Wunker's Background & Disruptive Innovation 01:27 – Why AI Fails as a "Tech Upgrade" 02:13 – The Problem With AI Pilots That Go Nowhere 02:48 – Top-Down AI vs Bottom-Up Experimentation 03:32 – The ABC Framework: AIFI, Experiment, Create 03:53 – Why Companies Aren't Using AI to Create the Future 04:18 – AI vs The Early Internet Era 05:07 – Why AI Training Fails in Marketing Teams 05:56 – Real Case Study: Cutting Campaign Planning by 50% 06:55 – Fixing Broken Processes Before AI 07:58 – Are Employees Sabotaging AI Adoption? 08:38 – "You Won't Lose Your Job to AI — You'll Lose It to Someone Using AI" 09:24 – AI as a Thought Partner (80/20 Rule) 09:55 – Tools vs Process: What Actually Matters 10:38 – Using AI Inside Existing Martech Stacks (Adobe, Email, Creative) 11:24 – What Happens to Copywriters & Creative Teams 12:11 – Reskilling vs Cost Cutting 13:03 – Career Advice: How Marketers Stay Relevant 13:52 – Why Critical Thinking Matters More Than Ever 14:38 – Marketing & Sales Converging Through AI 15:22 – Why You Must Specialize in AI Skills 16:03 – Managing AI Productivity at Scale 17:08 – Rapid Ad Creation & AI Video Tools 18:01 – Inverting Traditional Marketing Systems 19:15 – New Organizational Models for AI 19:21 – Steve's Book: AI and the Octopus Organization 20:17 – Why the Octopus Is the Perfect AI Metaphor 21:24 – What Leaders Get From the Book 22:47 – When AGI Really Matters (and When It Doesn't) 24:06 – AI vs Human Judgment 25:13 – The Human Skills That Will Always Matter 25:34 – Where to Find Steve Wunker 26:02 – Final Thoughts & Wrap-Up

In this episode of AI Marketing Today, host Mark Fidelman sits down with Diego Lomanto, Chief Marketing Officer at Writer, to explore the frontier of Agentic Marketing. They move beyond simple "personal productivity" tools and dive into how AI agents are orchestrating complex team workflows, transforming how enterprises like Qualcomm and American Eagle operate. Get our Book on becoming Agentized in your company  🎙️ Episode Highlights Defining Agentic Marketing: Diego explains the shift from using AI as a personal assistant (writing a blog post faster) to process orchestration. It's about building autonomous workflows where agents handle data segments, content creation, and campaign execution. The Human Bottleneck: Why technology isn't the problem, but mindset is. Diego shares his "top-down" approach to forcing a mindset shift: before spending money or fixing a process, always ask, "Can an agent do that?" Case Study - Qualcomm: How the tech giant moved from simple copywriting agents to 70+ workflows spanning legal reviews, trademark protection, and product launches. Case Study - American Eagle: Using AI to handle the "derivative content" (the many iterations needed for different segments), freeing up human creatives to focus on the core, differentiated brand strategy. The "Pipeline Kit" Agent: A look at Writer's internal "champagne-drinking" strategy, where they built an agent to automatically generate LinkedIn messages, call scripts, and look-books for sales reps the moment new content is published. 🔑 Key Takeaways The One-Year Outlook: Diego predicts that within a year, we will see "digital teammates" for every department—demand agents, content agents, and product marketing agents—working together autonomously. Don't Settle for "Better or Faster": The real ROI of AI is taking the efficiency gains and reinvesting those resources into things that move the needle, like high-touch events or hyper-personalized customer relationships. Stay Differentiated: As AI makes content creation infinite and cheap, a strong, human-led point of view is the only way for a brand to stand out. 🔗 Connect with the Guest Diego Lomanto: LinkedIn Writer: writer.com 📚 Mentioned in This Episode Book: Agentized by Mark Fidelman (Upcoming) Tools: Writer Agent, Claude (Anthropic), Google Meet

Host: Mark Fidelman Guest: Julian Goldie Main Topics Covered: The rapid evolution of SEO in the age of AI How AI tools like ChatGPT, Perplexity, and Grok are changing online search behaviors Similarities and key differences between traditional SEO and optimization for AI search engines Importance of being omnipresent across platforms (YouTube, LinkedIn, Reddit, blogs, etc.) for better AI engine ranking Essential tactics: in-depth keyword research (using tools like Ahrefs), competitor analysis, content strategy, and authoritative backlinks Special techniques such as creating industry listicles to boost authority Discussion on ChatGPT's "Agent mode," its potential impact on search, and the importance of structuring information for both users and AI agents Predictions for the future: the increasing role of large language models (LLMs) like ChatGPT in search, and how Google is rapidly integrating AI into its own results Budgeting advice for marketers: integrate SEO and "AEO" (AI engine optimization), focusing on an all-encompassing strategy Action Items: Follow up with Julian for deeper insights into AI agent modes and evolving tactics Use Ahrefs for ongoing keyword research Reverse-engineer and improve upon competitor content Focus on acquiring industry-relevant backlinks Experiment with authoritative list-based content Guest Contact: Julian Goldie, SEO specialist. Visit JulianGoldie.com for a free SEO strategy session and more resources

In this episode, host Mark Fidelman is joined by Jon Mest from ChatRank to discuss how brands can prepare for the fast-approaching era of AI-driven discovery and agentic systems. The conversation covers: The evolution of brand discoverability, with a look ahead to how AI language models and agents will change how consumers find and interact with businesses. The concept, benefits, and future of AI-only websites, and how they differ from traditional, human-oriented sites. Why structured, well-tagged product information and content is critical for visibility within AI systems. The growing importance of authentic social proof—such as customer reviews, forums, and third-party ratings—to boost a brand's credibility with AI agents. How brands can leverage video, podcasts, and other multimedia content to increase discoverability and connect with both AI systems and human audiences. Actionable strategies for preparing your brand for AI-driven search, including building a strong presence on platforms like YouTube, Reddit, and industry-specific review sites. Insights into how brands can stand out with unique, novel information and real customer feedback as competition increases with the proliferation of AI tools. ChatRank's role in helping businesses audit, track, and optimize their brand presence for AI discoverability, including both self-serve software and managed services. Key Takeaways: Start exploring AI-only websites tailored for agentic interactions. Make your product information highly structured and accessible to AI. Develop a comprehensive strategy to build authentic social proof. Invest in video, podcasts, and other easily digestible content formats. Learn how to get your brand ready for the new world of agentic discovery with practical advice from www.ChatRank.ai , and visit chatrank.ai for more information. Follow the host mark @markfidelman Get Mark's book at www.agentized.com 

Show Notes: Know What to Think Episode length: ~41 minutes Chapters (Skip Ahead) 00:00 — Know · What · Where · Artificial. It's really entertaining, and we're doing a lot of fun, good stuff. Then, maybe… maybe longer, but let's just see how it goes. Most are between 10 and 20 minutes. Alright, go ahead and start. Yep, I'm gonna hit the… 05:00 — There · Robot · Know · What. Right, okay. Alright, so why… why isn't nuclear an option to bring the kind of power we need? Yeah, I mean, I think the short answer is it's available, it's accessible, but I don't think it's enough to actually solve… 10:00 — Don't · Know · They're · More. It's a $200,000 vehicle at a minimum, if not $250,000. I don't know how that thing makes money. To be honest, I mean, does anybody think it— a taxi driver driving a $200,000 car—can… quickly… money on a regular basis.… 15:00 — Know · What · You're · I'm. I'm gonna… you know, what we can actually do with that, I don't really know. I feel like, you know, we've… we know what… the powder that produces dynamite, but the problem is that we don't have any casing, and… 20:00 — Its · Own · Why · Think. …even abnormally distributed. And this is really normal with past types of dimensions, with electricity and airplanes, or even the combustion engine for cars, etc. But at the moment, right now, you know, we really need… 25:00 — Know · What · Don't · Why. The question is, why? We already have enough of us. Yeah, I mean, you know, maybe we need less of us, I don't know. It depends—depends on your opinion, I guess. Well, but for me, you said it correctly: what is our goal… 30:00 — Know · Quite · Think · Mean. There's quite a number of individuals like that in Silicon Valley. And that's been true. He's tried to sue Sam Altman afterwards to become a founder. He was not actually the original founder of Tesla; he sued his way… 35:00 — Know · Things · One · Human. You know, the math is… it's… it's gnarly. It's hard, and yeah. So we need a lot of power for this. Isn't it interesting, though, that one human being—powered by food and the sun—can do exactly what… 40:00 — Good · Maybe · Time · Fun. Follow me next time. Yeah, maybe next time we'll talk about that. Fantastic conversation. There are other things coming up that I'd love to get you on—your perspective. I love your angle, it's… Notable Quotes And I think that… ultimately, I don't know, maybe people watch too many movies; they think those movies are reflective of what we're gonna see in the future. Artificial intelligence—if it was a car and you open up the hood—what do you see? I think artificial general intelligence… let me map out, ultimately, what you're trying to ask here. And here's the reason: artificial intelligence… there's always errors. I don't agree, and I don't think it's gonna be Skynet; I don't think it's gonna be I, Robot. I mean, they're entertaining. But I'm also a realist; I know that a lot of this is hype—but it's fun, it's fun. There's a lot of things that we have as artificial intelligence right now that we use. I feel like we know the powder that produces dynamite, but the problem is we don't have any casing—and that's where we are right now.

Guest: Mariano Garcia-Valiño — engineer and healthcare founder (3 exits; now building his fourth) Episode Summary Healthcare is burning cash and patience. Mariano lays out a blunt playbook: aggregate real-world signals (labs, pharmacy fills, wearables—even spending patterns that hint at adherence), run AI to flag risk early, and route people to care before conditions explode in cost. No sci-fi. No diagnosis claims. Just practical prediction, consent-driven data, and measurable outcomes. Key Takeaways Cost crisis ≠ destiny: US costs outpace inflation; prevention and earlier intervention are the only scalable fix. Data > drama: EHRs + labs + pharmacy + wearables + behavioral/financial breadcrumbs create a far clearer risk picture than any single stream. AI's role today: Triage and risk flags—not final diagnoses. Models surface "high suspicion" and hand off to clinicians. Privacy is the moat: Strict consent, separation from employers/insurers, and legal walls keep PHI protected and trust intact. What signals matter: From basic blood panels and pharmacy gaps to face-scan metabolic cues—more signals = better precision. Why consumers care: Earlier answers, fewer nasty surprises, and lower lifetime spend. Prevention is the new ROI. Business model reality: Think subscription + outcomes, not one-off tests. The value is longitudinal. Chapters & Timestamps 00:00 — Why AI in healthcare actually matters now 00:34 — Meet Mariano: engineer → serial healthcare founder 06:08 — The cost curve problem and why prevention is unavoidable 07:44 — What this company really does: navigation + prediction, not diagnosis 08:01 — Remote monitoring basics: from wearables to at-home capture 09:13 — The messy truth: fragmented data, privacy laws, and integration 12:19 — How data flows in (and why employers never see it) 13:39 — Why financial/behavioral signals boost predictive power 18:13 — What AI tells you: ranges, suspicions, and next clinical steps 19:29 — The "why now" for consumers: earlier lifestyle change, lower costs 21:10 — Roadmap & what has to be true for this to scale Notable Quotes "We raise a flag, then route you to the right clinician. That's how AI actually saves money today." "If you stop filling your medication three months in, the model will catch it—and that's the moment to intervene." "Prediction beats reaction. Every time." Practical Uses (Mark's Playbook) Health plans & clinics: embed risk-flag APIs into care navigation and care-gap workflows. Employers: fund prevention programs without ever touching employee PHI—measure outcomes only. Startups: focus on data rights + consent UX; it's the difference between demo-ware and deployment. Call to Action If you're building AI for real people—not hype subscribe to AI Marketing, and DM me on X/LinkedIn @markfidelman If you want the executive playbook on AI agents, join the waitlist at Agentized.com

Humanoid robots just jumped from sci-fi to go-to-market. We unpack Neo from 1X—what it is, what it can (and can't) do today, and how humanoids will reshape marketing, service design, content, and consumer behavior. We also hit privacy, regulation, price, and competition (Tesla Optimus, Boston Dynamics). If you sell to consumers or operate storefronts/hospitality, this is your early warning—and first-mover playbook.  Humanoid Robots in Marketing Neo Humanoid Robot Overview Key takeaways (for marketers & founders) New channel: the robot at home. Neo is effectively a walking, talking, context-aware device that can surface highly personalized offers ("I see Folgers—want their new roast sample?") — powerful but must be transparent/opt-in to avoid creepiness. Humanoid Robots in Marketing "Robot Optimization" will follow SEO. Expect brands to build "skills" for humanoids (folding, cooking, demos) and fight to be the default skill for a task. App-store dynamics are inevitable.  Humanoid Robots in Marketing Neo Humanoid Robot Overview Novelty marketing works—briefly. Pepper/Connie-style deployments boosted foot traffic and attention; humanoids will 10x the experiential angle, but you'll need real utility to sustain it. Hotelier Magazine+4Vox+4Emerj Artificial Intelligence Research+4 Costs & limits mean B2B first. With $20,000 or $499/mo and first US deliveries slated for 2026, near-term impact skews toward shared environments (hotels, banks, quick-serve, pop-ups) vs. mass consumer homes. 1X+1 Reality check. Expect tele-ops "expert mode," battery and dexterity constraints, and privacy guardrails early on. Treat Gen-1 as a marketing and service pilot platform, not a labor panacea.  Neo Humanoid Robot Overview 1X Competitive heat. Tesla Optimus is improving fast (but still looks clunky in public demos); Boston Dynamics pushes manipulation and mobility. Plan for rapid capability jumps through 2026–2028. Cinco Días  Neo Humanoid Robot Overview Suggested chapter markers 00:00 – Why humanoids matter for marketers (new touchpoint, personalization) Humanoid Robots in Marketing 04:30 – Use cases: retail, hospitality, pop-ups, content (robot concierge, robot "spokes-creator") Humanoid Robots in Marketing 10:10 – The "Robot App Store" & skill economics (default skills = moats)  Humanoid Robots in Marketing Neo Humanoid Robot Overview 13:40 – Data, ethics, and transparency (trust > conversion)  Humanoid Robots in Marketing 16:45 – Constraints: cost, batteries, tele-ops (pilot smart, don't overpromise)  Neo Humanoid Robot Overview 19:30 – Competitors & timelines (Optimus, Atlas; what to watch)  Neo Humanoid Robot Overview 21:30 – Mark's playbook & call to action  Humanoid Robots in Marketing Mark's take (no fluff) Early humanoids are a marketing weapon disguised as labor automation. Use Neo-class robots to earn attention, collect consented preferences, and deliver "wow-utility" in the real world. If you wait for Gen-3 perfection, your competitor will already own the default robot skill for your category. Humanoid Robots in Marketing Neo Humanoid Robot Overview Episode receipts & references (watch/read these) Official NEO pages (pricing, delivery, FAQ, deposit): preorder $20,000 early access or $499/mo; US deliveries 2026; global expansion 2027. 1X+21X+2 1X company background (Halodi → 1X; EVE → NEO): history, founders, and industrial lineage. 1X+2Robots Guide+2 IShowSpeed x NEO livestream (earned-media case): viral, chaotic, and effective. YouTube+3YouTube+3Humanoids Daily+3 Precedents for robots in service/retail: Pepper raised foot traffic/sales in pilots. Vox+1 Hilton "Connie" (Watson-powered concierge) set the hospitality precedent. IBM UK Newsroom+2The Verge+2 Competitor snapshots: Tesla Optimus recent demo and scale ambitions. Cinco Días Boston Dynamics / Atlas (manipulation & mobility trajectory). (Mentioned contextually in episode.) Neo Humanoid Robot Overview Spec-style write-ups: quick primers on NEO dimensions and hand DOF. Humanoid Guide Practical next steps (for listeners) Pilot a "Robot Host" in one location (hotel, showroom, flagship retail). KPI = qualified footfall, dwell time, opt-in rate. Humanoid Robots in Marketing Design one signature "skill." Own a mundane, high-frequency task (fold, greet, demo) and brand it—become the default. Humanoid Robots in Marketing Consent-first data loop. Use the novelty to win explicit opt-ins; return value via hyper-personalized service, not ads. Humanoid Robots in Marketing Budget realistically. Treat 2026 as paid R&D: hardware + staff training + content capture. (Yes, film everything.) Neo Humanoid Robot Overview

🔥 Episode Summary: Hundreds of public figures — from Steve Wozniak to Prince Harry — just signed a petition demanding a global ban on AI superintelligence. Their fear? That super-AI could outthink us, escape our control, and maybe even spell the end of humanity. I get it. The Skynet comparisons. The doomsday bunkers. The "pause everything until it's safe" approach. On the surface, it sounds reasonable. But here's the hard truth: If we don't build it, someone else will — and you better pray they believe in freedom. 🧭 Timestamps: 00:00 - Intro: "Prince Harry wants to ban superintelligent AI?" 02:30 - What the open letter actually says 05:00 - The real fears behind the ban movement 07:15 - Why bans might backfire (China, anyone?) 09:20 - Historical analogies: cars, nukes, and Pandora's box 11:30 - Who benefits from slowing AI down? 13:45 - Regulation vs. prohibition — the real solution 16:00 - The only thing scarier than ASI? Letting someone else build it first.   In this episode, I break down: 🚨 Why people are calling for a ban on superintelligent AI 🤝 The fears we should absolutely empathize with 💣 Why banning it could actually make the threat worse 🧠 How we can build ASI safely — but only if we lead 👀 Why some folks shouting "pause" might just be trying to protect their power I don't side with blind acceleration. But I don't buy moral panic either. There's a middle path — innovate with oversight, lead with principles, and don't cede the future to authoritarian AI. This one's unfiltered, unsponsored, and unapologetic. Let's go.   Contact Mark: @markfidelman on X   

Episode Summary: Join Mark Fidelman as he explores Sora 2, the innovative AI video tool poised to transform marketing and content creation. Hear real-world experiences, uncover its strengths and weaknesses, and learn practical tips for safe, creative use. Key Points: What is Sora 2? Sora 2 is an invite-only, AI-powered video tool that allows users to create hyper-realistic video "cameos" and collaborate in a social network-like environment. Strengths: • Rapid prototyping for video and creative concepts • Minimal resources needed for cinematic or cartoon-like videos • Control over dialogue, scene editing, and collaboration • Democratizes video production and amplifies virality for early adopters Limitations: • Audio inconsistencies and facial alignment issues • Every download comes with a Sora watermark (for now) • Guardrails create creative friction; copyright filters can be inconsistent • Max video length is typically 10 seconds, with quality varying Legal/Ethical Notes: • Beware of copyright and right-of-publicity risks, especially involving celebrities or brands • Use disclaimers and label content as AI-generated to reduce liability Pro Tips for Marketers: • Experiment—create 100 short clips to test viral ideas and hooks • Label and document your creative process for future audits • Use Sora 2 for mock ads, concept visuals, and even legal exhibits • Reach out for usage permissions if using others' likenesses or brands Looking Ahead: Features requested include: watermark-free pro mode, enterprise API, licensing marketplace for digital likenesses, and advanced video editing control. Connect with Blockchain: Find more content, examples, and ongoing discussions by connecting with Mark Fidelman on X or LinkedIn. Note: Sora 2 is rapidly evolving—stay tuned for updates and new insights as the technology matures!

📌 Episode Overview In this episode of AI Marketing, Mark Fidelman sits down with Monica Márquez—executive strategist, workforce futurist, and co-founder of Flipwork—to explore a pressing question: Can humans adapt fast enough to survive the AI revolution? They break down why traditional training models are failing, what AI means for the future of jobs, and how individuals and companies can avoid getting left behind. 💡 What You'll Learn in This Episode Why corporate training isn't dead—but the old playbooks are obsolete. How AI is reshaping job roles faster than people can reskill. The difference between artificial intelligence and what Monica calls authentic intelligence. Why adaptability is the new currency of survival in the AI era. How AI tools and nudges can reinforce learning and help adoption become habit. What the workforce of 2030 might look like—and why humans still have a role to play. 🔗 Connect with the Guests Monica Márquez 🌐 Website & Newsletter: themonicamarquez.com 💼 LinkedIn: linkedin.com/in/themonicamarquez 🚀 Flipwork (in stealth): launching soon—stay tuned! Mark Fidelman 🌐 Website: markfidelman.com 💼 LinkedIn: linkedin.com/in/markfidelman 📕 Book: Agentized → agentized.ai 📣 Why This Episode Matters AI is no longer a "future trend." It's here. It's accelerating. And it's replacing skill sets in real time. Leaders who stick with outdated training models are driving their companies off a cliff. Employees who resist adapting will get left behind. This conversation gives you the roadmap to stay relevant—and thrive—in an AI-dominated world.

Guest: Christian Monberg, CTO & Head of Product at Zeta Global Host: Mark Fidelman 🔑 Episode Summary In this episode, Mark Fidelman sits down with Christian Monberg, CTO at Zeta Global, to unpack the rise of Agentic AI and what it means for the future of marketing. From redefining the marketing funnel to exploring "agents talking to agents," the conversation covers both the opportunities and risks as AI reshapes how marketers operate. Christian explains the difference between AI agents and Agentic AI systems, why deterministic data foundations matter, and how enterprises can prepare for a world where much of the tedious marketing work is automated. Together, they explore the promise, the pitfalls, and the practical steps CMOs must take today to stay relevant tomorrow. 📌 What You'll Learn The difference between AI agents (task-specific) and Agentic AI (orchestrated systems). Why deterministic data is critical in a probabilistic AI world. How Agentic AI could automate and enhance the traditional marketing funnel. The evolving role of CMOs when agents can write, send, and close deals. The potential "dark side" of Agentic AI—manipulation, social engineering, and AI-to-AI marketing warfare. The future of UI on demand and "GenUI" in enterprise software. Real-world jaw-dropping examples of what Agentic AI systems can already do. 🔥 Notable Quotes "Agents are task-specific. Agentic AI is the orchestration of many agents with deterministic foundations." – Christian Monberg "AI isn't going to replace you. But someone who knows how to use AI will." – Mark Fidelman "The only way to beat manipulative AI is with better AI." – Christian Monberg 🏢 About Zeta Global Zeta Global is the AI-powered marketing cloud that leverages proprietary AI and trillions of consumer signals to make it easier to acquire, grow, and retain customers more efficiently. Zeta Global helps enterprises unify fragmented data and drive growth with an AI-native marketing platform. Their proprietary Data Cloud covers 245M consumers, enabling brands to deliver personalized, real-time experiences across the customer lifecycle. Learn more at zetaglobal.com. 📅 Don't miss Zeta Live on October 9th a one-day event showcasing their latest Agentic AI applications. 📣 Connect with Us Host: Mark Fidelman on LinkedIn Guest: Christian Monberg  Podcast Website: Agentized.ai      

Guest: Nick Cawthon Host: Mark Fidelman Episode Summary As kids head back to school and businesses push forward with digital transformation, one theme keeps surfacing: is using AI "cheating"? In this episode, Mark and Nick dive into how teachers, students, and professionals can move past the stigma of AI and instead embrace it as a partner in creativity and productivity. From calculators once banned in classrooms to AI now frowned upon by professors, history is repeating itself. But will the future workplace punish—or reward—those who leverage generative tools? Nick brings deep experience leading UX and design teams where human-centered practices often clash with algorithm-driven efficiencies. Together, they explore how to build a culture of amnesty, upskilling, and authenticity in both education and the enterprise. What You'll Learn Why AI in classrooms is today's calculator controversy—same fears, different tools. How to create "AI amnesty" in schools and workplaces so learning and experimentation thrive. Why human-centered design must evolve in an age where algorithms shape interactions. Whether generative AI kills creativity—or actually unlocks higher levels of it. How CMOs and leaders can overcome cultural, data, and training barriers to AI adoption. What tomorrow's workforce looks like if kids embrace AI as a partner versus fearing it as a threat. Key Quotes "There's no such thing as writer's block anymore—AI isn't killing creativity, it's changing what it looks like." – Nick "It's not AI that will take your job—it's the person who knows how to use it." – Nick Links & Resources Take Nick's UX/Design AI Readiness Survey → retrain.gage.io 📖 Grab Mark's new book Agentized  → Agentized.ai Listen & Subscribe 👉 Apple Podcasts | Spotify | Google Podcasts | RSS Feed

Episode 25: AI Marketing with Carl Holden (CMO, Zellus Marketing; CEO, RankBot) If you've been doomscrolling "SEO is over" takes, take a breath. Carl Holden and I demolish the myths and lay out how search actually works in the AI era—what's changing, what's hype, and how to allocate your budget without lighting it on fire. What we cover AI ≠ the end of search. Today's LLM answers are largely wrappers on top of search, pulling from Bing/Google and summarizing the first page or two. Translation: rankings still matter. Sponsored AI answers are coming. Expect the ad line between "recommended" and "paid" to blur—again. Users will need media literacy; marketers will need ethics and receipts. What to do right now. Keep your SEO fundamentals: technical hygiene, intent-matched content, internal linking, and legit link acquisition. AI helps you produce, but quality signals and authority still gate results. Budgeting reality check. There's no reliable, transparent funnel from LLMs yet (no query data, minimal attribution). Investing in SEO still doubles as LLM optimization because LLMs cite what already ranks. Where you will lose traffic. "What is…/how to…" question queries will be cannibalized by AI summaries. Shift your strategy: productized answers, comparison pages, original data, tools, and local "near me" intent. Local is durable. For "lawyer near me," "restaurants near me," classic local SEO and placements keep paying. Ignore snake oil. There isn't a proven "LLM.txt magic switch." Test, measure, and follow credible sources—not LinkedIn gurus with 20 prompts to "rank tomorrow." Practical plays Ship authority content (original data, calculators, checklists) that LLMs want to summarize and humans want to bookmark. Own your entities (brand/person/locations) with structured data and consistent citations so both search engines and LLMs can "understand" you. Track AI referrals where possible (e.g., ChatGPT UTMs), but don't chase shadows—optimize the pages LLMs would naturally choose: clear answers, sources, and credibility signals. Link earning > link buying. Publish assets that deserve links; use PR and partnerships to earn them. TL;DR SEO isn't dying; it's being distilled. If you rank in search, you're in the LLM shortlist. Keep the fundamentals, evolve content formats, and don't "optimize for ghosts" until attribution is real. 👤 Guest: Carl Holden — Contact Info Website (personal): carlholden.ai. Carl Holden Zellus Marketing (agency): zellusmarketing.com • Phone: (844) 493-5587. Huntsville/Madison County ChamberYelp RankBot (AI SEO platform): rankbot.ai • Email: [email protected]. RankBot | AI Backlinks and On-page SEOYahoo Finance Forbes Council Profile: background & speaking—see profile. Forbes Councils

Episode Overview: In this episode of AI Marketing, Mark Fidelman is joined by Jon Levesque, former Microsoft and DocuSign community leader turned founder of Seeq. Together, they dissect how discovery, influence, and technology are shifting under the weight of the creator economy and AI's explosive growth. They explore: Why the directory era is dead and why centralized discovery models like Yelp and Google Local are becoming obsolete. How the creator economy is shaping consumer decisions—from travel inspiration on TikTok to Substack newsletters—and why authenticity is the new currency. The AI paradox: how AI accelerates opportunity while simultaneously commoditizing entire industries. The looming future of AGI and ASI, and what it means for human experience, creativity, and survival in an AI-dominated world. Jon's startup Seeq, which turns travel content into shoppable itineraries with affiliate revenue baked in, offering creators a powerful new monetization channel. Why Listen: This conversation cuts straight into the future of discovery, influence, and AI. It's both visionary and practical, helping you understand where the opportunities lie and how to avoid getting left behind in the AI revolution. Guest: Jon Levesque – Founder of Seeq, community leader, and creator economy advocate. Contact [email protected] 

Imagine a company that runs 24/7, makes decisions in real time, and scales without hiring a single new employee… That's not tomorrow. That's now. In this solo episode, Mark Fidelman introduces "Agentized" a bold new book I co-authored with Jas Dhillon. This is not another book about ChatGPT or AI tools. It's about the transformation of work itself and how companies that fail to integrate autonomous AI agents risk becoming obsolete. Inside this episode: Why AI is no longer optional, it's existential A behind-the-scenes look at the real CEO story that inspired Chapter 1 How autonomous agents are changing marketing, sales, ops, and leadership What the "Agentized Enterprise" looks like and why it outpaces traditional firms A glimpse at what happens when AGI (Artificial General Intelligence) arrives Why this isn't just about tech it's about strategy and survival 📖 Read Chapter 1 now FREE. 🔁 Give us feedback and get a free copy of the audiobook or hardcover when it drops this year. 📝 Link to Chapter 1 & TOC  TOC:  https://docs.google.com/document/d/17mhERPQcpO3YermdCNnJGWbQJjaKDcN-5YGIyrIakqI/edit?usp=sharing Chapter 1:  https://docs.google.com/document/d/1A1nj2xuPBMR4X4Vzp7cfk9KBdqn0d26ZG42zQHoncaM/edit?usp=sharing  Send feedback to [email protected] including your name and info so that I can send you the free book / audio book when released 

Mark Fidelman and Lee Hackett discuss the transformative potential of AI in marketing, emphasizing that CMOs must personally engage with AI tools to stay competitive and drive business value. They explore how AI will reshape marketing roles, potentially reducing team sizes while increasing productivity through advanced technologies like AI agents and large language models. The conversation highlights the critical need for CMOs to experiment, understand AI capabilities, and proactively integrate these technologies into their strategic planning to remain relevant in the rapidly evolving digital landscape. Speakers were Host Mark Fidelman and Lee Hackett from Blueprint X Discussion focused on how CMOs can leverage AI technologies Main Podcast Highlights: AI's Impact on Marketing AI will transform marketing roles Productivity gains expected Teams will likely become smaller CMOs must personally engage with AI tools Critical AI Adoption Strategies Understand data models Create organizational willingness to experiment Develop a clear vision for AI integration Focus on business metrics and measurable outcomes Future CMO Skills Master AI tools Demonstrate ability to deploy AI effectively Be curious and adaptable Learn to direct AI agents strategically Immediate Recommendations Start using AI tools daily Experiment with AI agents Stay informed about emerging technologies Don't outsource AI learning Recommended Action: CMOs should personally experiment with AI tools like ChatGPT and create AI agents to understand their potential. Lee Hackett's contact information is: Website: blueprintx.com (spelled B-L-U-P-R-I-N-T-X) Email: [email protected]

Host: Mark Fidelman Guest: Richard Savoy, Co-founder and CEO of Adiona (enterprise logistics optimization company) Main Discussion Points: B2B Marketing Transformation Deals have become more complex (increased from 11 to 17 touchpoints) Slower technology adoption in logistics and supply chain sectors Buyers are more cautious and selective about technology solutions AI's Role in Marketing Top of Funnel: * Hyper-targeted lead generation * Automated lead qualification * Identifying potential leads through organizational changes AI Marketing Strategies Website content optimization based on visitor's geographic location Automated content rearrangement based on user journey Real-time feedback loops for customer interactions Future of B2B Marketing Shift from in-person events to digital AI-enabled interactions Relationship-based selling remains crucial AI will enhance, not completely replace human interactions Key Advice: Professionals should become AI experts to remain relevant Embrace AI tools to improve marketing and sales processes Prepare for significant changes in marketing strategies Contact: Richard Savoy's company website:  https://www.adionatech.com/  Recommended Action: Learn and integrate AI tools into marketing strategies Stay adaptable to technological changes Focus on relationship-building while leveraging AI capabilities

🔑 Episode Highlights: 🤖 The Premise of the Book: Bambenek's new book, Lies, Damn Lies, and AI, explores how AI's promise is often overstated — especially when it's portrayed as a magical black box that can solve any problem. Title is inspired by the classic quote about misleading statistics — now updated for the AI era. 💊 AI in Healthcare – A False Narrative? AI is valuable only when paired with human professionals, not when left on its own. Example: AI can help doctors detect anomalies on X-rays, but only a human can make complex medical judgments. The lie: That AI will replace doctors, when in reality it augments them. 🧠 AI as a Propaganda Engine: Bambenek argues that AI amplifies misinformation at scale, and platforms aren't prepared to filter it properly. AI-generated content (deepfakes, fake articles, fake studies) can erode trust faster than any disinformation campaign in history. 🧑‍💻 Cybersecurity Meets AI: AI tools are now helping hackers, not just defenders. Script kiddies can launch sophisticated attacks without understanding the code. A new arms race is underway: AI vs. AI in cybersecurity. 📉 The Cost of Hype: Venture capital and corporate hype often exaggerate what AI can do, leading to wasted money, broken products, and dangerous expectations. The idea of "general AI taking over everything" is a misleading narrative pushed for clicks and funding. 🧩 Call for Transparency: Bambenek advocates for "explainable AI" — if an algorithm makes a decision, we should understand why. Black-box systems being deployed in legal, medical, or hiring decisions are a major red flag. 🧠 Notable Quotes: "AI doesn't replace expertise. It amplifies it — or it amplifies ignorance if you're not careful." – John Bambenek "There's nothing more dangerous than trusting a machine you don't understand." – Mark Fidelman 📘 Learn More: Book: Lies, Damn Lies, and AI by John Bambenek – Available on Amazon Guest: John Bambenek on LinkedIn

Podcast Episode Notes AI Marketing with Mark Fidelman Episode Title: Revolutionizing Sales with AI: Featuring Gaurav Bhattacharya, CEO of Jeeva.ai Episode Overview: In this engaging conversation, Mark Fidelman sits down with Gaurav Bhattacharya, CEO of Jeeva.ai, to explore how artificial intelligence is transforming sales. They discuss practical ways marketers and salespeople can leverage AI, the potential future of AI in sales, and why the human touch will remain indispensable. Key Discussion Points: Introduction to Jeeva.ai Agentic AI platform supporting over 10,000 sales reps and 300 enterprise customers. Backed by notable investors including Alt Capital (Jack Altman), Sapphire Ventures, and Mark Benioff of Salesforce. Why AI Matters for Sales Automates repetitive tasks such as lead generation, research, personalized outreach, and CRM updates. Enhances efficiency, allowing salespeople to focus on relationship building and strategic tasks. AI Replacing Sales Calls? Gaurav's strong stance against AI fully replacing human sales interactions. Belief in AI augmenting rather than replacing high-value sales tasks. Future of AI and Human Work Discussion on Universal Basic Income and the evolution of jobs in an AI-driven economy. Predictions on autonomous driving and entrepreneurial opportunities in AI-managed fleets. First Steps for Salespeople New to AI Begin with chat-based tools (e.g., ChatGPT, Perplexity) for deep research and personalized outreach. Leverage AI to build credibility and trust through superior customer knowledge. What Top Sales Performers Do Differently Proactively prospecting with AI tools. Maximizing opportunities by personally generating leads beyond inbound marketing. Jeeva.ai's Unique Solutions for Salespeople Advanced AI-powered lead discovery and enrichment. Personalized multi-channel outreach campaigns automated and scaled effortlessly. Enhanced productivity, enabling sales reps to manage larger pipelines effectively. Connect with Jeeva.ai: Website: Jeeva.ai Email: [email protected] LinkedIn: Gaurav Bhattacharya (Look for Jeeva.ai affiliation) Host Information: Mark Fidelman AI marketing expert, podcast host, and fractional CMO specializing in AI, blockchain, and real estate tokenization. Website: markfidelman.com LinkedIn: Mark Fidelman Twitter: @MarkFidelman Subscribe and Listen: Spotify, Apple Podcasts, Google Podcasts, or wherever you get your podcasts. Join us next episode as we continue to dive deep into the transformative power of AI across marketing and sales!

I Marketing Podcast – Episode Show Notes Hosted by: Mark Fidelman Episode Summary In this episode, Mark Fidelman explores Google's revolutionary AI video tool, Veo 3. Discover how Veo 3 turns simple text prompts into high-definition videos complete with realistic audio, dialogue, and sound effects—ushering in a new era of accessible, impactful video marketing. Key Highlights: What is Veo 3? Generative AI transforming text into realistic HD videos with audio. Comparable to "Pixar meets TikTok." Why Veo 3 Matters: Rapid video production: Create ads and social videos in minutes, not weeks. Realistic characters and dialogue: No need for expensive actors or production teams. Practical Marketing Uses: Creative Ideation: Quickly prototype ad concepts and iterate overnight. Hyper-Personalization: Generate personalized videos for higher engagement and conversions. Agile Real-time Content: Capitalize instantly on social media trends. Content Repurposing: Transform blogs, podcasts, or articles into engaging video snippets. Brand Storytelling: Craft compelling narratives to emotionally connect with audiences. Real-Life Case Studies: Klarna: Rapidly producing YouTube bumper ads and product demos, significantly cutting costs and boosting viewer engagement. Kraft Heinz: Reduced video production cycles from eight weeks to just eight hours, enabling greater creative experimentation. Japan Airlines: Partnered with Jellyfish to create AI-generated in-flight entertainment, achieving 50% lower production costs. Envato: Launched an AI-powered video creation tool, quickly generating tens of thousands of user-created videos. Viral Content & Influencer Marketing: The Dor Brothers: Generated a viral Instagram Reel parodying influencer culture entirely with Veo 3, highlighting its potential for real-time cultural commentary. Influencer & UGC-Style Content: Brands can effortlessly emulate authentic influencer videos and user-generated content to boost relatability and engagement. Limitations and Considerations: Clip Duration: Limited to 8 seconds per clip; longer content requires editing. Audio Generation: Occasional inconsistencies in lip-syncing and audio dropouts. Scene Complexity: Best suited to simpler scenes; complex multi-character interactions may be challenging. User Interface: Workflow can be unintuitive, requiring frequent saves. Ethical Concerns: The realism of generated videos necessitates transparency to avoid misleading audiences. Best Practices: Clearly communicate your brand values in prompts. Continuously A/B test and optimize video content. Prioritize transparency and ethical considerations in AI content creation. Episode Takeaway: Google's Veo 3 represents a monumental shift in video marketing, making high-quality, scalable video content accessible to all marketers. Understand its limitations, leverage its strengths, and ensure your marketing stays ahead of the curve. Subscribe, Rate & Share: Enjoyed this episode? Don't forget to subscribe, rate, and share the AI Marketing Podcast! Stay smart, stay savvy, and stay ahead with AI! Contact Mark at [email protected] 

Christian Perry, CEO of Undetectable.ai, discussed the importance of humanizing AI content to avoid detection by AI detectors. He highlighted the rise of AI detectors post-ChatGPT and their impact on content distribution platforms like Facebook and YouTube. Christian recommended Lovable.ai for AI-powered website creation. Undetectable.ai helps remove AI markers from content to prevent it from being flagged as AI-generated. Christian also mentioned their new authorship replication tool to match human writing styles. The conversation emphasized the need for AI tools to evolve from humanizing to detecting non-human content, addressing issues like deep fakes and content authenticity. 🔑 Key Topics: The Rise of AI Content Filters: Why platforms like YouTube, Google, and Instagram are cracking down on AI-generated content — and how it affects marketers. Humanizing AI = The Competitive Edge: Christian explains why content that "feels" human gets better reach and engagement — and how Undetectable.AI helps you get there. Introducing Authorship Replication: A new tool that mimics your personal writing voice — especially useful for professionals trying to maintain authenticity. Why AI Tools Are Misunderstood in Academia and Workplaces: Christian and Mark debunk the stigma around using AI in writing, marketing, and education. Lovable.dev – Build Sites with Prompts: No-code AI site builder Christian recommends for entrepreneurs and small teams. The Future of AI Agents & Undetectable's Roadmap: From text detection to deepfake defense — Undetectable.AI is evolving into a digital trust guardian. Deepfake Detection with TrueScan: Their next frontier — helping users and platforms detect scams using AI-generated video and likenesses. Timestamps: 00:00 - Podcast Introduction 00:40 - Christian Perry's Background 02:34 - Why Undetectable.ai Was Created 07:22 - Overcoming AI Content Stigma 10:00 - AI Agents and Marketing Automation 12:47 - Future of Deep Fake Detection   💡 Notable Quotes: "Anyone banning AI tools today is doing their company or classroom a disservice. This isn't the future — it's the now." – Christian Perry "Undetectable.AI helps you write faster, better — and actually get your content seen by real people." – Mark Fidelman "If your content smells like a bot, social media buries it. We fix that." – Christian Perry 🔧 Tools Mentioned: Undetectable.AI – Humanizes AI-generated content Lovable.dev – AI-driven no-code app/site builder TrueScan – Deepfake and synthetic content detector (in development)   Recommended Resources: Chrome Extension: Undetectable.ai Humanizer True Scan: Deep Fake Detection Platform 📌 Connect with Christian: LinkedIn: Christian Perry – Undetectable.AI Website: https://www.undetectable.ai

Episode Date: May 7, 2025 Host: Mark Fidelman Length: ~10 minutes 🔥 Episode Summary: This week, Mark dives into the biggest and boldest updates in AI marketing – from OpenAI's attempt to unseat Google Shopping, to a hilarious campaign where real grandmas outshine machine learning. Tune in to hear how: ChatGPT just became your personal shopping assistant (and possibly Google's worst nightmare) Meltwater's new AI teammate Mira is changing how marketers do their jobs Google's AI answers are stealing your SEO clicks A Mexican food brand launched "Abuela Intelligence" to roast AI hype with old-school wisdom Buckle up – this is AI news with a sharp edge, told in classic Mark Fidelman style: funny, fast, and fearlessly bold. 🧠 Key Topics Covered: 🛍️ ChatGPT Goes Shopping OpenAI rolls out product search + recommendations No ads, no affiliate links — just pure AI shopping curation What this means for brand marketers and SEO "It's SEO meets QVC, but with AI running the show." 🤖 Meet Mira: Your AI Marketing Sidekick Meltwater's AI-powered agent now automates research, monitoring, and analysis Turns billions of data points into real-time brand intelligence "Think of Mira as Jarvis, but for CMOs." 📉 Google's AI Kills the Click New data shows AI snippets reduce clicks to top results by 34.5% Pichai says it boosts engagement — but the numbers say otherwise Marketers need new ways to win in a zero-click world 😂 Abuela Intelligence Outsmarts AI Del Real Foods launches "Abuela Intelligence" instead of artificial intelligence Grandma-powered advice centers, sassy campaigns, and cultural genius "Hasta la vista, Chatbot — Grandma's got this." 🔗 Mentions & Resources: OpenAI's Shopping Features: TechCrunch Meltwater's Mira Launch: Adweek Ahrefs SEO Study: Search Engine Journal Del Real's Abuela Intelligence Campaign: Marketing Brew 🔁 Episode CTA: Liked this episode? Smash that subscribe button Share it with a fellow marketer who needs some AI swagger And remember — you don't need a supercomputer to be brilliant, sometimes a grandma's advice will do just fine 😉

Featuring: Matt from Light Writer & Envoy Design Episode Overview: In this high-energy episode, Mark and Matt ditch the typical buzzword bingo and get into the real meat of AI and quantum computing. After a fun kickoff swapping Spring Break stories (Ferraris, Vegas, the San Diego Zoo, yes, it got wild), the two dive into quantum computing's practical, real-world impact on AI, synthetic data, and the massive wave of innovation that's about to crush traditional tech models. Highlights: Spring Break Shenanigans: Ferraris, Lamborghinis, and family adventures in San Diego and Vegas. Matt's 26-Year Tech Journey: From Apple II and Basic programming to Shopify builds and now Quantum AI. Quantum Computing Reality Check: Why quantum computers aren't just "faster laptops" — and why that's a good thing. Quantum + AI = Synthetic Data Revolution: How quantum computers will create human genome data and radically supercharge AI learning models. Healthcare and Scientific Breakthroughs: Why pharma, biotech, and aging research will never be the same once quantum computing hits full stride. Light Writer & Envoy Design's Next Big Leap: Six new quantum-based products launching in the next 3–4 weeks. Stay tuned. Next Moves: Matt to launch 6 new quantum computing products in ~4 weeks. Mark to drop this podcast episode like it's hot within the week. Matt to spread the word and keep Mark posted on any major AI or quantum breakthroughs. Key Takeaways: Quantum computers can generate truly random numbers and synthetic data — a game-changer for machine learning models. Combining quantum computing with GPUs could lead to major leaps in healthcare, aging, and complex problem-solving. AI is not just evolving — with quantum's help, it's about to revolutionize every major industry. It's early, but if you're not paying attention to quantum and synthetic data, you're already behind. Guest Spotlight: Matt Hampton, representing Light Writer and Envoy Design a cutting-edge team at the crossroads of quantum computing and AI innovation.

AI Marketing Podcast Schedule (Nikolay Filichkin) with Mark E Fidelman Quick recap Mark and Nick discussed the topic of Gpu alternative investments, with Nick explaining the process of funding deals and the financial aspects of investing in GPUs. They also discussed the progress of their website, the regulatory aspects of their business, and the potential of considering Dubai for their business due to its growth in tokenization and AI. The conversation concluded with an agreement to reconnect in about 90 days to assess the progress of their business. Summary Gpu Alternative Investments in AI Industry Mark and Nick discussed the topic of Gpu alternative investments. Nick, co-founder and chief business officer at Compute Labs, explained that their business helps data center operators scale their business and allows investors to invest in Gpus or compute products as a new emerging asset class. He emphasized the importance of this investment due to the massive growth of the AI industry, and the lack of direct access to the growth of the compute space. Nick also mentioned that they provide market education and use a platform to present specific Gpu offers. GPU Funding Process Explained Nick discussed the process of funding deals, including the capital expenses, operational expenses, and projected revenue. He explained that investors receive a share in an SPV that holds rights to the GPUs, which is represented by an NFT. Mark questioned the type of GPU and the payout process, to which Nick clarified that the investor receives the specific GPU they're interested in and the payout is in USDC. Nick also addressed the GPU provider's benefits, stating they receive capital to scale their business and manage net revenue. Mark inquired about purchasing multiple GPUs, to which Nick confirmed that each GPU would be represented by an NFT. GPU Investment Financials and Returns Nick and Mark discussed the financial aspects of investing in GPUs. Nick clarified that they target a minimum 20% internal rate of return (IRR) for their projections, and they manage the assets, including hardware issues, upgrades, and liquidation. Mark inquired about the average return on investment and the role of the investor in the process, to which Nick explained that the investor collects a monthly dividend, but the cash flow and dividend depend on utilization and contracted revenue. They also discussed the minimum investment amount, with Nick stating that there is no minimum at this time, but it may vary for certain deals. Follow or Contact me on X www.x.com/markfidelman 

Mark Fidelman and Eugene Vyborov discuss the differences between traditional automation and agentic AI in marketing. Eugene, founder of Ability AI, explains that agentic AI can make decisions and execute them, unlike traditional automation, which is rule-based. Ability AI's media buying agent simulates a media buyer's work, understanding audiences, creating value propositions, and launching campaigns on Facebook. Eugene highlights that agentic AI is a paradigm shift, with potential for significant efficiency gains. He advises marketers to learn about AI to stay competitive and suggests testing AI for competitive intelligence. Ability AI's media buying agent is in beta, with general availability soon.   Introduction and Guest Introduction Mark Fidelman introduces the topic of the discussion, focusing on the differences between traditional automation and agentic AI in marketing. Mark Fidelman introduces Eugene Vyborov, a serial entrepreneur and founder of Ability AI, who is currently in Portugal. Eugene Vyborov provides a brief introduction about himself and his company, Ability AI, which focuses on AI automation for marketing, particularly media buying with Facebook. Eugene Vyborov explains his interest in agentic AI and entrepreneurship, highlighting his expertise in this area. Differences Between Traditional Automation and Agentic Automation Eugene Vyborov explains that traditional automation is rule-based and lacks intelligence, while agentic automation can make decisions and execute them. Agentic automation can analyze information, make judgments, and take actions to achieve better results. Eugene Vyborov emphasizes the importance of content creation in marketing and how agentic automation can create content at scale. Mark Fidelman asks for clarification on the term "agentic," and Eugene explains that an agent can be proactive or follow instructions, depending on the business use case. Paradigm Shift in Marketing Automation Eugene Vyborov believes that agentic automation represents a full paradigm shift, larger than the introduction of the internet. Mark Fidelman shares a statistic from a previous episode where only 10% of marketers were using ChatGPT a year ago. Mark Fidelman and Eugene discuss how agentic automation can make marketing more relevant and directed to individuals in real-time. Eugene Vyborov provides examples of how agentic automation is already being used in media buying, SEO, and cold emailing. Case Studies and Practical Examples Eugene shares that his own marketing for Ability AI is run by their agent, which books demos at a decent cost. Mark Fidelman provides an example of how agentic automation could personalize emails in real-time based on information found on the internet. Eugene discusses how agentic automation can create SEO-optimized content at scale, leading to significant traffic for websites. Eugene explains how their media buying agent works, from understanding the audience to launching and optimizing campaigns on Facebook. Autonomy and Trust in AI Agents Mark Fidelman asks about the level of autonomy marketers should allow their AI agents to have. Eugene explains that currently, the level of autonomy is relatively low due to the need for trust and the risk of mistakes. Eugene believes that over time, agents will become more autonomous and take over more decision-making responsibilities. Mark Fidelman and Eugene discuss the performance metrics and KPIs used to judge agentic automation, such as return on ad spend and CPC. Technical Stack and Market Trends Eugene  explains that there is no single tech stack for agentic automation, with various solutions available. Eugene  mentions generic solutions like Make and Natin that can help build agentic workflows. Mark Fidelman asks about the biggest objections or misconceptions marketers have about agentic automation. Eugene  identifies mistrust, desire to control, and fear of replacement as major concerns among marketers. Future of Marketing with Agentic Automation Eugene  believes that agentic automation will introduce more opportunities than it will take away, leading to a fragmented market with more solopreneurs and small teams. Mark Fidelman and Eugene discuss the potential impact of AGI on marketing and the importance of marketers learning to work with AI. Mark Fidelman suggests a use case for marketers to test: having an agent constantly scour the internet for competitive moves. Eugene advises marketers to spend time learning about and working with agentic systems to stay ahead of the curve. Rapid Fire Questions and Closing Remarks Eugene  identifies ChatGPT as the most overhyped AI tool, as it may limit exploration of other AI capabilities. Eugene Vibraf suggests that the role of go-to-market engineer will become more important in the future. Eugene believes that while AI can handle basic strategy, humans will still be needed to approve and commit to the strategy. Eugene  expresses concern about the uncertainty and potential misuse of agentic AI, emphasizing the need for control. Contact Information and Final Thoughts Eugene  provides information about Ability AI and their media buying agent for Meta. Mark Fidelman shares his contact information and encourages listeners to reach out to Eugene and test Ability AI's products. Mark Fidelman concludes by emphasizing the importance of agentic automation in marketing and the potential it has to revolutionize the industry.

  Mark Fidelman and Chris Andrew discuss the shift from traditional SEO to AI-driven search. Chris, co-founder and CEO of Scrunch AI, emphasizes that AI search is becoming more prevalent, offering personalized and less biased answers. He highlights the importance of optimizing for AI models by focusing on text-based content and understanding customer personas. Chris notes that AI search is driving significant conversion rates, often outperforming traditional SEO. Scrunch AI helps businesses monitor and improve their AI search presence, with an average 40% growth in AI referral traffic. They also discuss the potential for AI to introduce new ad formats and the need for marketers to adapt to these changes.   Introduction and Participant Backgrounds Mark Fidelman introduces the topic of AI marketing and expresses his preference for AI search over traditional SEO. Chris Andrew introduces himself as the co-founder and CEO of Scrunch AI, emphasizing the shift towards AI-first customer journeys. Mark Fidelman shares his personal experience of using AI for searches, noting the custom and direct answers provided by AI. Chris Andrew mentions his favorite AI tools for marketing and sales, including Google's LM product, Granola note-taking app, and various GPT models. The Shift from Traditional Search to AI Search Chris Andrew explains why he believes search will be replaced by AI, highlighting the simplicity and personalization AI offers. He discusses the limitations of traditional browsing and the advantages of AI in providing direct answers and understanding user intent. Chris Andrew shares his personal experience of relying on AI for research and how it has changed his customer journey. He emphasizes that AI is better for humans as it provides less biased and more accurate information. Impact of AI on SEO and Customer Journey Chris Andrew clarifies that SEO is not dead but has evolved with AI, which now evaluates content based on human intent. He explains the importance of text-based content like FAQs, knowledge bases, and glossaries for optimizing AI models. Chris Andrew discusses the role of large language models in evaluating content and the need for organizations to bring new data sets online. He highlights the importance of understanding customer personas and how AI can provide personalized results based on user background and sophistication. Optimizing for AI Models and Privacy Considerations Chris Andrew explains how AI models rely on traditional search indices to determine credibility and relevance. He discusses the role of Google's index and the introduction of OpenAI's own index in the AI search landscape. Chris Andrew emphasizes the need for organizations to bring up-to-date and relevant data sets online to improve their AI presence. He addresses privacy concerns by focusing on non-confidential internal data sets that can enrich AI models' understanding of brands and products. The Role of AI in Customer Journey Mapping Chris Andrew discusses the importance of understanding customer personas and how AI can provide personalized results based on user background. He shares examples of how AI models can cater to different user needs, such as high-end fashion shoppers versus budget-conscious consumers. Chris Andrew highlights the potential for AI to create deeply personalized experiences and the need for organizations to map their customer journeys accordingly. He mentions his participation in a panel on neurodiversity in AI, which explores how models can help people with different thinking styles. Marketing Strategies for AI-First Customer Journeys Chris Andrew advises marketers to monitor and understand AI search trends, including the frequency of AI agent visits to their websites. He emphasizes the importance of tracking referral visits, conversion rates, and citations in AI search results. Chris Andrew suggests that marketers should focus on providing content that aligns with AI models' language-based processing. He highlights the need for organizations to adapt their content strategies to cater to AI models and improve their AI presence. Introduction of Scrunch AI and Its Value Proposition Chris Andrew introduces Scrunch AI, a platform that helps organizations optimize for AI-first customer journeys. He explains how Scrunch AI provides deep monitoring, insights, and recommendations to improve AI presence. Chris Andrew shares that Scrunch AI's average customer sees a 40% growth in AI referral traffic and a 3-4x improvement in overall AI presence. He encourages marketers to book a meeting with Scrunch AI to understand their AI search performance and receive actionable recommendations. Final Thoughts and Future Trends Mark Fidelman and Chris Andrew discuss the potential for AI models to introduce ads and the importance of maintaining neutrality. Chris Andrew shares his thoughts on the future of AI search, including the potential for micro-transactions for referral visits. Mark Fidelman emphasizes the need for marketers to start thinking about AI optimization and the potential impact on customer journeys. Chris Andrew concludes by expressing his excitement about the future of AI in marketing and the importance of understanding and adapting to AI search trends.

li>ol]:list-[lower-alpha] [&_ol>li>ol>li>ol]:list-[lower-roman] [&_ol>li>ol>li>ol>li>ol]:list-[list-decimal] [&_[data-user]]:text-primary [&_:is(strong,h1,h2,h3,h4,h5,h6)]:font-semibold [&_:is(h1)]:text-2xl [&_:is(h2)]:text-lg [&_:is(h3)]:text-md [&_h1:not(:first-child)]:mt-8 [&_h1:not(:last-child)]:mb-6 [&_h2:not(:first-child)]:mt-6 [&_h2:not(:last-child)]:mb-4 [&_h3:not(:first-child)]:mt-4 whitespace-pre-wrap break-words" style= "--tw-border-spacing-x: 0; --tw-border-spacing-y: 0; --tw-translate-x: 0; --tw-translate-y: 0; --tw-rotate: 0; --tw-skew-x: 0; --tw-skew-y: 0; --tw-scale-x: 1; --tw-scale-y: 1; --tw-scroll-snap-strictness: proximity; --tw-ring-offset-width: 0px; --tw-ring-offset-color: var(--color-surface-default, #FFFFFF); --tw-ring-color: rgb(147 197 253 / 1); --tw-ring-offset-shadow: 0 0 #0000; --tw-ring-shadow: 0 0 #0000; --tw-shadow: 0 0 #0000; --tw-shadow-colored: 0 0 #0000; box-sizing: inherit; white-space: pre-wrap; overflow-wrap: break-word; --font-size: var(--font-size-md, 16px); --line-height: var(--line-height-md, 24px); font-size: var(--font-size); line-height: var(--line-height); border: 0px solid var(--color-border-default, #BEC5D0);"> Podcast Overview: Host: Mark Fidelman Guest: June Louisa, Founder and CEO of Constant Closer Topic: AI's Impact on Sales and Marketing Key Highlights: AI in Sales Evolution AI can create 24/7 sales agents Potential to personalize content at scale Current limitations still require human oversight June's AI Journey Started with "Hit Me Up" CRM for content creators Pivoted to focus on email audience conversion Developed Constant Closer to help online course creators AI Sales Technology Insights AI currently enhances sales processes, not completely replacing humans Tools like Constant Closer can: * Generate personalized email campaigns * Improve conversion rates * Provide analytics on sales effectiveness Future Predictions AI will become increasingly integrated into sales processes Humans who effectively use AI will have competitive advantage Expect more sophisticated AI agents in 3-5 years Recommended Tools: Constant Closer Gong Manus.im AI-powered CRM platforms Actionable Takeaways: Dedicate time to researching AI sales tools Experiment with AI-driven marketing strategies Stay informed about emerging AI technologies Contact Information: Guest: Jun Loayza Website: constantcloser.com X (Twitter): @junloayza

AI isn't coming—it's already here, and it's moving faster than anyone expected. Autonomous AI agents are being deployed right now, AGI (Artificial General Intelligence) could be here by 2027, and 80% of today's jobs could be gone within the next decade. In this episode, Mark Fidelman, CMO of Exabits, breaks down: ✅ AI Agents: How OpenAI's latest SDK and China's Manus AI are leading the charge in fully autonomous AI workers. ✅ AGI's Timeline: Why experts like Sam Altman and Elon Musk think AGI could be here before 2030—and what happens when it arrives. ✅ The Death of Human Jobs: Why most jobs will disappear, which industries will be hit first, and what this means for your career. ✅ How to Stay Ahead: The three things you MUST do to thrive in the AI-driven economy. ✅ The Role of Exabits: How high-performance compute will power the next AI revolution, and why cloud giants like AWS, Google, and Microsoft can't keep up. Key Takeaways: 🔹 AI agents aren't just chatbots—they're autonomous workers running businesses, optimizing supply chains, and replacing human labor. 🔹 AGI could arrive within the next five years, completely reshaping industries, innovation, and the global economy. 🔹 The first jobs to go: Coders, lawyers, analysts, and financial traders. Next? Manufacturing, logistics, and white-collar roles. 🔹 The new economy belongs to those who OWN AI infrastructure—compute power is the new gold. 🔹 If you're not learning AI, investing in AI, or building with AI right now, you're already falling behind. Resources Mentioned: 📌 OpenAI's AI Agent SDK – The framework allowing developers to build fully autonomous AI agents. 📌 Manus AI – China's breakthrough in AI automation, pushing the boundaries of self-executing AI workflows. 📌 Tesla's Optimus Robot – A look at AI-powered robotics set to replace human labor in factories. 📌 Exabits – The AI compute backbone, providing faster, cheaper, and scalable GPU power to fuel AI's future.   Connect with Us: 🚀 Follow me on X: @markfidelman 📢 Join the Conversation on LinkedIn: Exabits 🌐 Learn More About AI Compute Power: www.exabits.xyz

What You'll Learn in This Episode DeepSeek's AI breakthrough didn't just happen—it was engineered for maximum impact. This episode dives into the real reasons DeepSeek went viral, why their approach is a direct threat to OpenAI and Anthropic, and how AI compute demand is about to explode by 1000X. If you think Big Tech is in control of AI's future, think again. The battle for Artificial General Intelligence (AGI) and AI compute power is just beginning, and you need to know who's really in charge. 🔹 Topics Covered: ✅ How DeepSeek became an AI sensation by open-sourcing their models (DeepSeek on Hugging Face) ✅ Why DeepSeek's $5.6 million training cost was a marketing masterstroke ✅ How Jevons' Paradox proves AI compute demand is about to skyrocket ✅ Why you can't trust Google, Amazon, or Microsoft to power the future of AI ✅ The real future of AGI & AI Agents – and how much compute we'll need to make them work ✅ The rise of Exabits as an independent AI compute provider (Exabits) 🧩 Segment Breakdown & Links 1️⃣ The DeepSeek Disruption – What Happened? 🔹 DeepSeek is a Chinese AI company that trained a ChatGPT-4 level model for just $5.6 million—while OpenAI and Anthropic spend hundreds of millions. 🔹 Their strategy? Go open-source, build a community, and make AI cheaper. 🔹 The result? Mass panic in Big Tech & a 17% drop in Nvidia's stock price. 🔗 DeepSeek on Hugging Face 🔗 DeepSeek R1 Model on GitHub 2️⃣ How DeepSeek Engineered Their Own Virality 🔹 They didn't just launch a model—they launched a movement. 🔹 Their secret sauce? A "David vs. Goliath" narrative against OpenAI & Anthropic. 🔹 Twitter (X) exploded with comparisons to Sputnik, fueling the story. 🔹 The now-infamous tweet from Wall Street Engine (@wallstengine) compared DeepSeek's launch to the AI "moonshot" moment. 🔗 Original viral tweet 3️⃣ The $5.6M AI That Exposed OpenAI's Bloated Costs 🔹 Compare the costs: DeepSeek R1 Model – $5.6M Anthropic Claude – $50M+ OpenAI GPT-4 – Estimated $100M to $1B 🔹 This fueled investor panic, leading to market sell-offs for Nvidia and Big Tech. 🔗 OpenAI GPT-4 Overview 🔗 Anthropic's Claude 4️⃣ Jevons' Paradox: Why AI Compute Demand is About to Skyrocket 🔹 The Cloud Storage Parallel: When storage got cheap, demand exploded 1000X. 🔹 The same thing is happening with AI compute: More efficiency → More AI adoption → More GPU demand. 🔹 AI compute demand is now doubling every 6 months. 🔗 Nvidia H100 GPU Specs 🔗 Morgan Stanley Report on AI Compute Demand 5️⃣ Why You Can't Trust Google, Amazon, or Microsoft with AI Compute 🔹 Amazon Web Services (AWS) deplatformed Parler overnight—so what happens if they don't like your AI startup? 🔹 Google already has a history of politically-motivated censorship. 🔹 Microsoft Azure is deeply embedded in OpenAI's operations and prioritizes corporate/government interests over startups. 🔹 The only solution? Independent AI infrastructure like Exabits. 🔗 AWS Censorship Controversy 🔗 Google Free Speech Controversy 🔗 Microsoft OpenAI Partnership 6️⃣ The Future: AGI, AI Agents, and the Race for Compute Power 🔹 AGI (Artificial General Intelligence) is the AI that can think, reason, and learn like a human. 🔹 AI Agents will run businesses, negotiate deals, and replace entire industries. 🔹 To train AGI, we'll need 1000X more compute than today—the equivalent of a small country's energy output. 🔹 Exabits & Other Independent Compute Providers will be the only alternative to Big Tech monopolies. 🔗 Exabits AI Compute Solutions 🔗 DeepMind's AGI Research 💡 Key Takeaways ✅ DeepSeek didn't just go viral—it was engineered to disrupt AI's biggest players. ✅ The $5.6M training cost exposed OpenAI & Anthropic's bloated spending. ✅ AI compute demand is about to skyrocket—Jevons' Paradox proves it. ✅ Google, Amazon, and Microsoft can't be trusted with AI's future. ✅ Independent compute providers like Exabits are the real future of AI. 📢 Get Involved: 🔹 Follow Mark Fidelman on Twitter (X): @MarkFidelman 🔹 Join the AI Marketing Podcast Community – Sign Up Here 🔹 Learn More About AI Compute Alternatives: Exabits 🔥 Want More AI Insider Content? Subscribe to our newsletter for exclusive insights on AI, tokenization, and disruptive tech. 📩 Sign Up Here → www.smartblocks.agency 🎙️ Rate & Review: Enjoyed this episode? Leave a 5-star review and let us know what you think!

Host: Mark Fidelman Guest: Matt Leta, Author of The Leap Guide and Founder of Future Works In this episode of AI Marketing, we sit down with Matt Leta, a tech entrepreneur and AI strategist, to discuss his 4 steps to accelerate innovation in the age of AI. Matt shares insights from his book, The Leap Guide, and provides actionable strategies for organizations looking to embrace AI and drive innovation. Episode Highlights: 1. Meet Matt Leta Matt's journey from starting his first startup at 19 to working with industrial, energy, and aerospace companies. How his experience in AI and digital product development has shaped his approach to innovation. 2. The 4 Steps to Accelerate Innovation Matt introduces a practical, repeatable 12-week framework to help businesses successfully implement AI-driven innovation: Locate: Find an innovation champion within the organization. Form diverse groups to identify AI opportunities. Evaluate: Use a proven framework to quickly assess and prioritize ideas. Focus on high-impact opportunities that align with business goals. Action Planning: Develop a roadmap to gain stakeholder buy-in and present AI initiatives effectively. Progress: Prototype solutions and communicate value to drive organizational adoption. 3. Matt's Favorite AI Tool Matt shares his current favorite AI solution: OpenAI's GPT-4o Pro, which he uses for strategic thinking, idea generation, and problem-solving. 4. Key Takeaways AI success is not just about technology—it's about people, communication, and buy-in. The importance of a structured yet flexible approach to AI adoption. How small AI-driven wins can lead to company-wide transformation. Resources Mentioned: Matt Leta's Book: The Leap Guide Future Works Blog: news.future.works AI Coach Tool: Available with the book at leap.guide Follow & Subscribe Don't forget to subscribe to the AI Marketing Podcast for more insights on leveraging AI to transform your business. Listen & Subscribe: Spotify Apple Podcasts Google Podcasts Connect with Us: Mark Fidelman on LinkedIn: linkedin.com/in/markfidelman  

Host: Mark Fidelman Guest: David Hirschfeld, Founder of Tekyz, a software development company specializing in AI-driven solutions. Topics Covered: The role of AI in software development and marketing David's favorite AI tool: Replit, a code development tool revolutionizing prototype building Leveraging AI for personalized marketing outreach and customer insights Real-world examples of AI implementation in healthcare, including an AI nurse and automated medical record reviews Using AI for project estimation, refactoring code, and workflow optimization Predictions for the future of AI in the next two years Key Quotes: "Marketing is critical when launching and scaling a software startup." – David Hirschfeld "AI has the ability to make all your marketing outreach feel like a personalized experience." – David Hirschfeld "The 100-foot wave of AI is coming, and we must paddle out and ride it or be wiped away." – David Hirschfeld Resources Mentioned: Replit: An AI-driven code development tool Guest Contact Information: Email: [email protected] Website: www.tekyz.com LinkedIn: David Hirschfeld on LinkedIn

📌 Key Topics Discussed: 1️⃣ From Hype to Practical AI Use Cases AI will shift from speculation to measurable outcomes. I share why clear goals are essential and where I think businesses need to focus to stay competitive. 2️⃣ The Battle for AI Hardware: Will Nvidia Be Dethroned? New challengers like AMD, Intel, and startups are taking aim at Nvidia's monopoly. Hear my thoughts on whether Nvidia can keep its lead or if 2025 will be a turning point. 3️⃣ Digital Twins and the Four-Day Workweek AI-powered digital assistants could free up our Fridays. I explore what this means for productivity and how realistic this vision is. 4️⃣ Robots in Your Home: Sci-Fi No More AI advancements are bringing robots mainstream for tasks like cleaning, cooking, and more. I discuss the opportunities and challenges of this robotic revolution. 5️⃣ AI's Role in Building Inclusive Workforces How assistive AI tools will empower disabled workers and unlock massive business value. I weigh in on how leaders can integrate these tools effectively. 6️⃣ Fractional CAIOs: The Future of AI Leadership With a shortage of AI executives, fractional CAIOs are stepping in. I share why this model could be the solution for smaller businesses to scale AI initiatives. 7️⃣ AI Systems Engineers: The Hottest Job of 2025 As AI agents proliferate, oversight roles like AI systems engineers will become critical. I give my take on why this role matters and how to position yourself for success. 💡 Why You Should Listen: This isn't just another AI predictions episode — I'm giving you my take on every trend: What's realistic, what's overhyped, and what it means for you and your business. Actionable insights to leverage these predictions and stay ahead of the AI curve. Straight talk for leaders, marketers, and innovators who need to know where to focus in 2025. 📚 Resources & Links: Follow me on LinkedIn for more AI insights and updates. Don't miss the full list of AI predictions we discuss, sourced from LinkedIn News. 🎧 Call to Action: If you enjoyed today's show, subscribe, share, and leave a review. I want to hear your thoughts on these predictions — do you agree, disagree, or have your own bold ideas for AI in 2025? Let's keep the conversation going and lead the charge into the AI-driven future. 🚀 Stay curious. Stay bold. Stay AI-forward. 🎙️ Listen Now: Available on Spotify, Apple Podcasts, and wherever you get your podcasts.

In this episode of AI Marketing, Mark Fidelman dives into the transformative power of AI tools designed to help marketers save time and amplify their output. Mark shares his insights on three standout platforms—Opus Clip, AdCreative.ai, and Canva—breaking down how each can fit seamlessly into your marketing workflow. Key Takeaways: Opus Clip What It Does: Extracts 15-second to 3-minute clips from long-form content based on custom prompts. Why You Should Use It: Generates up to 30 shareable video clips with minimal effort, complete with editing and publishing capabilities for all major social platforms. Pro Tip: Perfect for marketers producing long-form content who want to repurpose it across Instagram, TikTok, LinkedIn, and more. AdCreative.ai What It Does: Creates ad campaigns with the help of AI by analyzing your website, prompts, and visuals. Why It's Not Ready Yet: While promising, its results in the B2B space fall short of industry standards. Pro Tip: Keep an eye on its development but stick to tried-and-true methods for now. Canva What It Does: Offers an intuitive design platform with robust AI tools for generating images, videos, and templates. Why It's Essential: Empowers marketers to produce high-quality content faster, including video and animations, at a fraction of the cost. Pro Tip: Leverage Canva's extensive library of templates to churn out professional-grade marketing materials quickly and efficiently. Why It Matters: Mark emphasizes that in today's fast-paced, AI-driven landscape, creating consistent and engaging content is non-negotiable. With tools like these, marketers can scale their efforts, focus on strategy, and deliver results without breaking the bank. Get in Touch: Mark invites listeners to share their experiences with these tools or suggest others. As a Fractional CMO and AI marketing enthusiast, he's eager to explore what's working (and what's not) in the ever-evolving world of marketing. Outro: Stay tuned for the next episode, where Mark will uncover three more AI tools to revolutionize your marketing game. Connect with Mark: Website: www.fanaticsmedia.com  Socials: Twitter, LinkedIn, YouTube   CTA: Don't forget to subscribe and leave a review if you found this episode helpful!

Mark discusses his experiences with using AI tools like Chat GPT for various tasks, including content creation, financial analysis, and marketing. He emphasized the importance of double-checking AI outputs with professional experts and highlighted the potential of AI to enhance marketing professionals' work. Mark shares his experience with using AI tools for marketing purposes, including generating ideas for marketing campaigns and tokenizing projects for funding. Using ChatGPT for marketing tasks. Mark for Delta discusses using ChatGPT for writing and editing. Speaker uses ChatGPT to analyze financials, transcribe podcasts, and provide insights. Speaker2 shares 3 use cases for ChatGPT: reviewing, brainstorming, and making marketing proposals more creative. Speaker2 encourages listeners to share their own ChatGPT use cases in the comments or via email.   Brought to you by http://www.Fanaticsmedia.com  Want to hire Mark to build a world-class AI Driven marketing team to double your leads and sales? Goto www.fanaticsmedia.com  to schedule. 

Join host Mark Fidelman as he dives into the transformative world of artificial intelligence in the latest episode of "AI Unveiled." with Jas Dhillon of FinanceIQ.ai  This episode is a treasure trove of insights for enthusiasts and professionals alike, exploring the cutting-edge applications of AI tools like Jasper in content production, team collaboration, and beyond. Mark and Jas kick off the discussion by examining how Jasper and similar AI tools are not just facilitating but revolutionizing content creation, making it simpler for businesses to communicate their value propositions and establish authority in their respective fields. They share personal anecdotes and professional experiences, revealing how these tools enhance efficiency and drive traffic. The conversation then pivots to the intriguing potential of AI in marketing and its significant impacts on the college application process, a topic that resonates with many parents and students today. Listen in as they discuss the reliability of AI detectors and the next generation's advanced AI capabilities, providing a comparative analysis of popular AI writing tools such as Jasper, Claude 3 Opus, and GPT-4. Jas also provides an exclusive look into his company, Finance IQ, and its pioneering AI-powered tools designed to automate business processes in the asset management sector. He highlights a notable project with Franklin Templeton, showcasing how their AI technology has streamlined tax processing, reduced error risks, and enhanced overall efficiency. The episode doesn't shy away from the challenges either. Jas and Mark address the hurdles in developing AI systems, the ongoing need for improvements, and the exciting future of AI applications in legal and financial sectors. Moreover, Jas shares his excitement about his upcoming presentation at the prestigious 'Imagination and Action' AI conference in Boston, inviting listeners to join him for what promises to be an enlightening experience. Tune into "AI Unveiled" for a compelling journey through the landscape of artificial intelligence with two seasoned experts, Jas Dhillon and Mark Fidelman, who not only reveal the current state of AI technology but also its promising future. Whether you're an AI novice or a veteran, this episode is packed with valuable insights and practical advice to help you harness the power of AI in your professional endeavors. Want to hire Mark Fidelman, contact him at www.fanaticsmedia.com or on LinkedIn at www.linkedin.com/in/fidelman 

Brought to you by http://www.Fanaticsmedia.com  Topic: AI in marketing and the transformative potential of AI technology, specifically focusing on tokenization and content creation. Key Points Discussed: AI's Role in Marketing: Mark shared insights from his presentation at the Digimarc conference about using AI in marketing, particularly how his small team effectively promotes Smartblocks, a real estate tokenization platform. He highlighted the low adoption rate of AI among professional marketers, noting that only 20% of attendees from major corporations use AI daily, which surprised him given their advanced technological environment. Future of AI and Marketing: Mark predicts significant growth in the AI sector, expecting it to reach a market size of $214 billion by 2030 up from $20 billion today. He emphasized its rapid development pace compared to other technologies. He stressed the need for marketers to evolve from basic implementers to architects of sophisticated AI-driven marketing strategies. Innovative AI Tools and Applications: Introduction of "Open AI Sora," an advanced tool capable of generating realistic short films and scripts from simple prompts, demonstrating the potential of AI in creating dynamic and engaging marketing content. Mark encouraged marketers to leverage AI for personalized advertising, envisioning a future where ads are tailored to individual preferences, potentially enhancing customer engagement and effectiveness. Notable Quotes: On AI Adoption: "Only 20%...these are professional marketers or people from Netflix, from big healthcare companies... I was kind of shocked by that." On AI's Potential: "AI, the AI business to be 214 billion, which is a CAGR of 26.7% that's growing as fast if not faster than tokenization is." On Content Creation with AI: "Imagine how many iterations of a video ad you could show people... if you find that one is resonating more... then that's something that you could send out to everybody else in your database." On Personalization: "Imagine videos tailored to you and your likes and dislikes and needs and cultural preferences. Essentially, it's developed on the fly to suit what that potential customer... likes or doesn't like, How incredible is that?" Conclusion: The podcast effectively showcases the intersection of AI technology with modern marketing practices, emphasizing the transformative impact AI can have on content creation and personalization. Mark's discussion serves as a call to action for marketers to embrace and become proficient with AI tools to stay competitive and innovative in the rapidly evolving digital landscape.            

Sheila Kloefkorn of KEO Marketing and I discuss what Fractional CMOs do and how to get the most out of them. If you can't afford a very experienced CMO, then this a great option for companies that want best in class marketing at a fraction of the cost.  BIO KEO Marketing, an award-winning B2B marketing agency in Phoenix, Arizona, develops marketing strategies and systems that help clients generate more leads and sales. Sheila Kloefkorn, as Fractional CMO, enables select companies to leverage senior-level marketing talent and highly trained specialists, to save time and reduce stress for business owners and their companies.CEO Sheila Kloefkorn brings 25 years leading in-house marketing departments and large boutique agencies. For more information, please visit https://keomarketing.com Reach Sheila https://twitter.com/keomarketing Want to work with Fanatics Media, HTTP://www.fanaticsmedia.com 

Ray Wang and I discuss his new book and what qualities unicorn companies have that you can emulate.  So Ray wrote the book, because he realized digital transformation is not enough. We've been talking about it. And he realized because the game had changed, you have to do it differently. A great example was like if you look at most companies today, I think something like in the fortune 500, almost 40% 47% of companies are owned by the same people.  And it's literally like a handful, 14 investors and they're playing a different game.  Everybody Wants to Rule the World will help you: Understand the power of Data-Driven Digital Networks and how they have driven the most successful companies of our time. Learn how extreme consolidation is changing the global business landscape and what this means for businesses of all types and sizes in terms of understanding where you fit in the value chain. Advocate for smart regulations that enable free and fair markets while balancing innovation with anti-trust Gain insights into what innovative companies are doing right now to position themselves in this new reality. Take your business from status quo to market leader. Ray's book:  https://www.raywang.org/books/everybody-wants-rule-world-surviving-and-thriving-world-digital-giants    BIO R "Ray" Wang (pronounced WAHNG) is the Founder, Chairman and Principal Analyst of Silicon Valley based Constellation Research Inc., He co-hosts DisrupTV, a weekly enterprise tech and leadership webcast that averages 50,000 views per episode and authors a business strategy and technology blog that has received millions of page views per month. Wang also serves as a non-resident Senior Fellow at The Atlantic Council's GeoTech Center. Since 2003, Ray has delivered thousands of live and virtual keynotes around the world that are inspiring and legendary. Wang has spoken at almost every major tech conference. His ground-breaking best selling book on digital transformation, Disrupting Digital Business, was published by Harvard Business Review Press in 2015. Ray's new best-selling book about Digital Giants and the future of business titled, Everybody Wants to Rule The World was released July 2021 by Harper Collins Leadership. Wang is well quoted and frequently interviewed in media outlets such as the Wall Street Journal, Fox Business News, CNBC, Yahoo Finance, Cheddar, CGTN America, Bloomberg, Tech Crunch, ZDNet, Forbes, and Fortune. He is one of the top technology analysts in the world. ---------------------- Want to work with Fanatics Media, HTTP://www.fanaticsmedia.com 

Listen in as David Finberg and I discuss SEO and how to rank on page one of Google search results.  BIO David Finberg is a digital marketing master, CEO and founder of Peaks Digital Marketing, who creates websites and highly targeted SEO campaigns with measurable results for small, medium and enterprise brands. He empowers business owners with the tools, data, and resources to have success with SEO and achieve massive success within their businesses. David knows what it takes to achieve first-page search results on Google, and wants to help others do the same. ------ About Us  If you're interested in learning more about cryptocurrency marketing or ecommerce marketing, goto www.fanaticsmedia.com  

Dorie Clark and I discuss the Recognized Expert Formula. We break down how to become an expert in a noisy and crowded market.  Dorie Clark helps individuals and companies get their best ideas heard in a crowded, noisy world. She has been named one of the Top 50 business thinkers in the world by Thinkers50, and was honored as the #1 Communication Coach in the world at the Marshall Goldsmith Coaching Awards. She is a keynote speaker and teaches for Duke University's Fuqua School of Business and Columbia Business School. She is the author of Entrepreneurial You, which was named one of Forbes' Top 5 Business Books of the Year, as well as Reinventing You and Stand Out, which was named the #1 Leadership Book of the Year by Inc. magazine. A former presidential campaign spokeswoman, Clark has been described by the New York Times as an "expert at self-reinvention and helping others make changes in their lives." She is a frequent contributor to the Harvard Business Review, and consults and speaks for clients such as Google, Yale University, and the World Bank. She is a graduate of Harvard Divinity School, a producer of a multiple Grammy-winning jazz album, and a Broadway investor. You can download her free Long Game self-assessment workbook and learn more at Visit HTTP://www.dorieclark.com/thelonggame. --------------------------------  

Today's guest, Mark Donnigan, designs and executes marketing playbooks that produce real business results for early and growth-stage technology and disruptive innovation startup companies. With his 20 years of experience as a transformative B2B marketing and business leader, Mark understands how to succeed in today's winner takes all market by building categories and thinking differently. On Mark's website he has a super valuable Category Creation Guide that is free and ungated! You won't get slathered with lead gen forms on my site! ----------------------- Want to learn more?  Contact HTTP://www.fanaticsmedia.com     

Learning how to Listen to data  (ie, getting better at understanding how our marketing is performing by measuring for the conversation we're having with the market) is one of the hottest topics today. Join Mark Fidelman and Chris Mercer as they do a deep dive into Marketing analytics    BIO      Chris "Mercer" Mercer, co-founder of MeasurementMarketing.io, is a sought after measurement marketing expert and has been helping marketers, marketing teams, and agencies, plan out what's important to measure in their marketing, build measurement systems (using Google Tag Manager and Google Analytics), create actionable dashboard reports, and finally use those reports to forecast and optimize their marketing results. In short, Mercer helps marketers know, trust, and grow their numbers.   Want to work with Fanatics Media, HTTP://www.fanaticsmedia.com

Amanda Whitcroft and I discuss the best approaches to getting influencers and the media to talk about your brand.  BIO Amanda Whitcroft is the founder and owner of Panda PR & Marketing, representing clients across the sustainability, healthcare, technology, and lifestyle spaces. Although she established Panda in 2018 with a focus on hospitality, Whitcroft had to pivot due to the devastating effects the pandemic had on restaurants, hotels, and hospitality at large. Through creativity, innovation, and persistence, Panda PR has become a force in the growing green space, actively branching out into content creation and project management as she saw an increased need for more boutique-like services from global clientele. Whitcroft received her Bachelor's Degree from Adelphi University, completed ECornell's Blockchain Fundamentals certificate in 2020, and is currently studying for her LSATs with the intention of attending law school in the near future.   FINAL QUESTIONS: 1. Hottest digital marketing technology that you recommend ClubHouse FINAL QUESTION 2. Who is the most influential person in marketing today? Gary Vaynerchuk   ------------------------- Want to work with Fanatics Media, HTTP://www.fanaticsmedia.com 

Join Victoria and I as we walk through how to create and launch an effective PR campaign. You will learn how to: 1. Plan and organize PR 2. How to launch it 3. What to look out for  4. How to make it successful      BIO Victoria Kennedy is the CEO of Victorious PR, a media agency that helps Entrepreneurs, Real Estate Brokerages, Mortgage Companies, and Solar Businesses get featured in industry-specific publications, local press, podcasts, and top publications to be seen as Industry Leaders in their fields. She often talks about how companies and individuals leverage digital PR to not only increase their visibility but also directly grow their revenue. Victoria has been featured in over 200 publications including Forbes, Entrepreneur, Yahoo Finance, TV & radio stations, and the TEDx stage.   Contact Victoria at @GoVictoriaK and www.victoriouspr.com  --------------------------------- Want to work with Fanatics Media, HTTP://www.fanaticsmedia.com   

Meghan Lynch understands branding and she understands the challenges of doing it effectively and affordably. Listen in as we cover the basics and the benefits of branding.  BIO Meghan will provide you with the experience and expertise to make smarter, faster, better positioning decisions that drive growth. Our flagship program is Solve for Y, and we further support our clients with CMO-level strategic oversight, budget management, and marketing plan execution management.   Take the Quiz  https://sixpointcreative.com/digitalbrandbuild/   Megan's contact info Six-Point Creative sixpointcreative.com 276 Bridge Street Springfield, MA 01103   -------------------- Work with Fanatics Media www.fanaticsmedia.com 

Are press releases cool again? How do create press releases that work How journalists decide on stories  Why headlines matter  Why a quote can save you    BIO Mickie Kennedy 22 years ago I realized that small businesses desperately need a press release service they could actually afford. I decided to launch E-Releases, to help businesses and brands generate game-changing media placement to elevate their credibility, reputation, media presence, and generate new sales! Since then, I have generated tens of millions of dollars in earned media for my clients, generating web traffic, sales, and new opportunities at a fraction of the retail price. Our world-class team of writers and publicists have secured our client's spots in top outlets including: ✔️ Washington Post ✔️ ABC ✔️ NY Times ✔️ Forbes ✔️ Business Insider ✔️ NBC ✔️ FOX ✔️ and much more! However, actions speak louder than words. Check out https://www.ereleases.com/client-reviews/, to see how 100's of entrepreneurs, businesses, and brands have received the media coverage and exposure they needed to THRIVE during the COVID pandemic. 👉 You can book a call with me or speak to my team Monday through Friday (7am to 7pm Eastern Time) at 800-710-5535.  Listen to CEO of eReleases  https://www.linkedin.com/in/publicity/    ------------------------ Need help with PR, contact us at HTTP://www.fanaticsmedia.com   

Copywriting Strategies for entrepreneurs. Learn the tricks to getting great sales copy.   How do you create the right copy?  How I develop the expertise?  Where do I find good copywriters?  How do I know I hired a good copywriter?  Little hacks and tricks you need to know  BIO Margo White is The No.1 Copywriter For Entrepreneurs with 12+ years of experience in business management. There are lots of great copywriters. Still, no one taught entrepreneurs how to do their "homework" and control every piece of content shared by their company. That was before Margo entered this market. She created a unique system - the Content DNA - that helps businesses break through the "online noise," stand out from the crowd of their competitors and stay on top of the mind of their prospects. She often says: "Your CONTENT is your biggest asset. You can outsource the writing, but you need to develop a strategy on your own." Now she consults Fortune 500 companies and perspective start-ups of the Silicon Valley. Today you will learn how to apply this system to your business and create content that drives ACTION. Find her on Twitter @themeanmarketer Want more information? www.fanaticsmedia.com