The AI Lab

In this episode of the AI Lab Podcast, Ryan Kurt joins Patrick McConville for a conversation on where AI is headed in the workplace — and why service businesses need to rethink how they create value in an AI-native world.Ryan introduces the idea of the “co-service model”: a future where clients and service providers both have access to powerful AI tools, changing the relationship from “do this for me” to “help me do this better.” From accounting and legal services to consulting, customer support, and internal operations, the episode explores why companies can’t ignore the fact that their customers are already using AI to analyze, question, and extend the work being done for them.We also dive into:Why AI is becoming the new operating system for knowledge workHow information asymmetry between experts and customers is collapsingWhy companies should enable employees instead of rushing to replace themThe risk of creating a new AI skills gap based on access, training, and affordabilityWhy “forward deployed engineers” may not solve the real problem of AI transformationHow leaders can identify and activate the AI-native talent already inside their organizationsAbout Patrick McConville:Patrick McConville is an experienced writer and versatile media professional with a background in motion pictures, film production, event production, project management, and stage management. With a Bachelor of Arts focused in Film Production and Theological Studies from Loyola Marymount University, Patrick brings a storyteller’s perspective to conversations about technology, work, and culture.About Ryan Kurt:Ryan Kurt is the Founder of AI Lab, a community and advisory platform built to help executives navigate generative AI. After experiencing layoffs firsthand, he built AI Lab to help leaders and teams reskill for the AI era—equipping organizations to grow through AI, not just cut costs.Resources:→ Learn more about AI Lab→ Connect with Ryan on LinkedIn→ Connect with Patrick on LinkedIn→ Send listener questions: [email protected] Chapters:Coservices Model (00:21)AI as Utility (03:17)Asymmetry of Information (07:56)Supercharged People (11:57)Benefits of Being AI Native (17:29)Bigger Game to Play (26:10)Need for Education and Cohesion (30:09)The Current Model Won't Work (33:56)

AI is moving fast, but most companies are still figuring out what it actually means for how they work and grow. In this episode, Melissa Mahtani sits down with Jennifer Stave, Launch Director of Harvard Business School’s AI Institute, to unpack what companies are getting right – and wrong – about AI adoption. Jennifer shares lessons learned from her “clinical trials” model for testing AI in real business environments and explains why you can’t be an AI optimist or pessimist, only a human one. We also dive into:The disconnect between AI’s promise and AI in practiceHow important humans are to technological changeThe role of tacit knowledge in AI adoptionWhy AI should lead to employee enhancement not replacementHow Agentic AI is changing what it means to be a manager Why “Tokenmaxxing” isn’t a good incentive for AI adoptionWhy traditional ROI metrics don’t work for AIAbout Jennifer Stave:Jennifer Stave is the Launch Director of the Harvard Business School AI Institute, where she leads efforts to study how generative AI is transforming firms, leadership, and strategy. Her work focuses on bridging the gap between rapid technological advancement and real-world business adoption, partnering directly with companies to develop practical frameworks for safe and effective AI deployment.Resources: → Learn more about The AI Lab: https://www.theailab.ai/ → Connect with Melissa Mahtani: https://www.linkedin.com/in/melissa-mahtani/ → Connect with Jennifer Stave: https://www.linkedin.com/in/jen-stave/ → Send listener questions: [email protected]

Dr. Felicia Newhouse—former tech executive turned founder of AI Powered Women—joins us to unpack why the biggest risk in AI today isn’t a gender gap, but a structural imbalance in who builds, governs, and bears the consequences of these systems. She explains why a diverse make-up of people (not just women) must play a central role in shaping its future.We also dive into: How women leaders are approaching AI differently in the workplaceThe importance of diversity both in AI data and AI governance decisionsWhy AI doesn’t have a gender problem, but a structural one.The “triple threat” facing women: lower AI usage, higher automation risk, and invisible laborThe hidden burden of emotional labor in AI transformation—and why it’s often overlookedWhy human relationships are actually the key to AI successWhy women leaders are acting as early warning systems for AI riskWhat to expect at the AI-powered women's conferenceGuest bio:Dr. Felicia Newhouse, founder of AI-Powered Women at MIT, leads one of the world’s largest movements in bridging women and AI, uniting global leaders at MIT and beyond to redefine the future of leadership. With a PhD in transformational learning, two decades as a tech product executive, and training in mindfulness, she uniquely bridges research, business, and human transformation to ensure the rise of AI elevates—not erases—what makes us most human.Resources: → Learn more about The AI Lab: theailab.ai → Connect with Melissa Mahtani: linkedin.com/in/melissa-mahtani  → Connect with Felicia Newhouse: ​​https://www.linkedin.com/in/felicianewhouse/   → Send listener questions: [email protected]

AI isn’t just transforming industries—it’s reshaping how the entire world works.In this episode, Melissa Mahtani sits down with Andela CEO Carrol Chang to unpack how AI is reshaping global opportunity, exposing deep inequalities, and forcing leaders to rethink talent, access, and economic systems at a global scale.We also dive into: How AI is changing the gig-economy globallyWhat Andela means by being the “human layer” in AIThe impact of AI governance decisions being concentrated in Washington DCThe infrastructure gap: compute, connectivity, and power as the real barriers to AI equityJob loss and the entry level jobs crisisThe Citrini Report vs Open AI’s Blueprint for the futureWhat the future of work and society could look like in a more equal worldGuest bio:Carrol Chang is the CEO of Andela, a global tech talent marketplace connecting companies with highly skilled technologists while helping organizations build and scale AI-ready teams. Prior to Andela, she served as Global Head of Driver Operations at Uber, where she led initiatives at the forefront of the gig economy. With deep experience in global workforce systems, Carrol brings a unique perspective on how AI is transforming labor, opportunity, and economic structures worldwide.Resources: → Learn more about The AI Lab: theailab.ai → Connect with Melissa Mahtani: linkedin.com/in/melissa-mahtani  → Connect with Carrol Chang: https://www.linkedin.com/in/carrolchang/ → Send listener questions: [email protected]

Ernest Ng, Senior Principal of AI Strategy at Workday, joins The AI Lab CEO Ryan Kurt to explore what business leaders are missing in today’s AI conversation—from the true cost of innovation to the organizational design challenges that will define long-term winners.We also dive into:Why AI may be the cheapest it will ever be—and why that matters nowThe gap between AI capability and enterprise adoptionHow token economics could reshape budgets, performance, and headcountWhy AI transformation is as much a people challenge as a technology challengeThe risk of over-automating junior work and losing future expertiseWhat resilience planning looks like in a business increasingly dependent on AI systemsErnest Ng is Senior Principal of AI Strategy at Workday, where he helps large organizations think through AI go-to-market, adoption, and transformation. Prior to Workday, he was part of HiredScore, an early AI company in HR that was later acquired by Workday. He also spent nearly 12 years at Salesforce leading HR strategy, people analytics, data science, data engineering, and workforce planning. Trained as an experimental psychologist with a background in I.O., developmental, and cognitive psychology, Ernest brings a rare perspective on the human, organizational, and economic forces shaping the future of AI.Resources: → Learn more about The AI Lab: theailab.ai → Connect with Ernest Ng: https://www.linkedin.com/in/ernestngphd/ → Connect with Ryan Kurt: https://www.linkedin.com/in/ryankurt/ → Send listener questions: [email protected]

How do you raise children in a world where AI is not just a tool—but a companion, tutor, and influence? Melissa Mahtani sits down with Dr. Alex Sturm to explore how parents can navigate this new reality with clarity and confidence and use AI themselves, as a tool to make them “superhuman.” We also dive into: Why “authoritative parenting” (warm + firm boundaries) matters more than ever in an AI-driven worldWhy kids of all ages—from toddlers to teens–need to understand AI is a tool, not a humanThe risks of teens turning to AI for emotional support—and potential red flags to watch out forAlex’s message to tech companies developing AI for the futureResources for parents worried about the impact of AIGuest bio:Dr. Alex Sturm is a licensed clinical psychologist and associate professor of psychological science at Loyola Marymount University, where she studies childhood development and neurodevelopmental conditions. As both a researcher and a parent, her work sits at the intersection of science and real life—helping families understand how children learn, grow, and navigate increasingly complex technological environments.Resources: → Learn more about The AI Lab: theailab.ai→ Connect with Alex: https://www.linkedin.com/in/alex-sturm-164974a1/ → Connect with Melissa Mahtani: linkedin.com/in/melissa-mahtani → Send listener questions: [email protected]

AI isn’t just changing how we work—it’s reshaping who works, what work looks like, and how organizations prepare for what’s next. In this episode, Cynthia Gutierrez-White and Ryan Kurt share a deeply human perspective on workplace transformation, unpacking the realities of job loss, career reinvention, and what it truly takes to reskill in the age of AI.We also dive into: What’s being replaced vs. what’s being createdThe emotional and professional impact of layoffs in an AI-driven economyWhy reskilling is becoming a core business strategy—not just an HR initiativeThe hidden crisis in entry-level jobs and what it means for the next generation of talentHow leaders can support their teams through disruption—without defaulting to cost-cuttingThe opportunity for organizations to grow through AI, not just automate with itGuest bio:Cynthia Gutierrez-White is a communications strategist and author of *Redefined*, focused on helping professionals navigate career transitions in the age of AI. With a background spanning media, healthcare, and disaster response, she brings a deeply human perspective to workforce transformation.Ryan Kurt is the Founder of AI Lab, a community and advisory platform built to help executives navigate generative AI. After experiencing layoffs firsthand, he built AI Lab to help leaders and teams reskill for the AI era—equipping organizations to grow through AI, not just cut costs.Resources: → Learn more about The AI Lab: theailab.ai → Connect with Melissa Mahtani: linkedin.com/in/melissa-mahtani → Connect with Cynthia Gutierrez-White: https://www.linkedin.com/in/cgutierrezwhite  → Connect with Ryan Kurt: https://www.linkedin.com/in/ryankurt/ → Send listener questions: [email protected]

AI agents are moving beyond chatbots and copilots to systems capable of completing entire business processes autonomously. In this episode, Tim Sanders, Chief Innovation Officer at G2 and AI researcher at Harvard, breaks down what agentic workflows really mean for organizations and why the biggest barrier to adopting agents isn’t the technology—it’s whether leaders can build trust in AI systems quickly enough to keep up with competitors.We also dive into:How AI agents are breaking the limits of traditional productivityHow leading companies are deploying agents to drive measurable ROIWhat the use of autonomous agents means for job displacementWhy companies like Amazon continue investing in AI agents despite occasional failuresWhat the future workforce looks like when employees become “agent bosses”For leaders trying to navigate the rapidly evolving AI landscape, the message is clear: start experimenting now or risk falling behind.Guest BioTim Sanders is the Chief Innovation Officer at G2, the world’s largest software marketplace, where he leads AI research focused on enterprise adoption and emerging technologies. A Harvard Business School fellow and bestselling author of five books—including Love Is the Killer App—Tim studies how organizations integrate new technologies to drive growth. His research combines economic analysis, executive interviews, and large-scale enterprise surveys to understand how AI is reshaping business strategy.Resources→ G2 AI Research: https://www.g2.com→ Tim Sanders on LinkedIn: https://www.linkedin.com/in/timsanders→ Prediction Machines (Ajay Agrawal, Joshua Gans, Avi Goldfarb)

Ryan Kurt, Founder of The AI Lab, joins Melissa Mahtani, the show’s new co-host and Journalist-in-Residence, for a wide-ranging conversation on Job displacement vs. individual empowerment, AI governance, trust, and why outsourcing strategy to big consultancies is the wrong move.We also dive into: Why people, not tech, are the hardest part of transformationHow legacy org design slows AI adoption more than the tools doThe “Citrini Report” thought experiment, an AI tax, and who should benefit from AI’s upsideWhat responsible AI adoption looks like when the ground keeps shiftingWhether there should be more or less regulation around generative AIWhat keeps Ryan up at night when it comes to the future of AI Guest bio:Ryan Kurt is the Founder of The AI Lab, a community and advisory platform built to help executives navigate generative AI with no hype, no jargon—just practical strategy informed by real operators. Ryan’s work spans AI strategy, organizational design, and AI governance, with a focus on helping companies identify internal “change makers,” compress learning cycles, and build durable capabilities as the technology evolves.Resources: → Learn more about The AI Lab: theailab.ai → Connect with Melissa Mahtani: linkedin.com/in/melissa-mahtani → Connect with Ryan Kurt: https://www.linkedin.com/in/ryankurt/ → Send listener questions: [email protected]

Larry Birnbaum, Professor of Computer Science at Northwestern University and co-founder of Narrative Science, joins the AI Lab to explain why today’s large language models work at all—and why their success has surprised even longtime AI researchers.In this conversation, Larry and Ryan explore how decades of AI research led to the current moment, why massive models somehow generalize instead of just memorizing, and what this means for businesses adopting AI at scale.We also dive into:Why today’s AI boom feels sudden. but has decades of groundwork behind itThe overfitting paradox: why massive models generalize instead of just memorizingHow transformers and attention changed context, reference, and meaning in languagWhy AI delivers the most value at scale and through personalization (work that wouldn’totherwise exist)Bias vs. inductive bias and how agreeable AI systems can reflect a user’s worldview back at themWhat AI breaks in education, and why fundamentals still matter for students and engineersThe interpretability problem: we know how LLMs learn, but not what they’ve learned or how they decideLarry shares hard-earned perspective from a career spanning academic AI research and real-world deployment, including lessons from building one of the earliest automated narrative platforms and why understanding AI’s limits is just as important as celebrating its breakthroughs.Guest Bio:Larry Birnbaum is a Professor of Computer Science at Northwestern University whose research focuses on artificial intelligence, natural language processing, and human–AI collaboration. He is the co-founder of Narrative Science, an early pioneer in automated storytelling from data, and has spent decades studying how machines can generate language that is coherent, contextual, and useful at scale. Resources → Connect with Larry Birnbaum on LinkedIn: https://www.linkedin.com/in/larry-birnbaum-1393b4147/

Alex Czurylo, Chief Strategy & Operations Officer at Gen3 Marketing and former analytics and operations leader at Rakuten Advertising, joins the AI Lab to break down what it really takes to build a successful AI program inside an organization—long before ChatGPT made AI mainstream.In this episode, Alex and Ryan unpack why the most effective AI strategies don’t start with tools, but with clearly defined business problems, strong governance, and internal capability-building.Why starting with a single, measurable business problem is the key to AI ROIHow Rakuten Advertising built one of the earliest enterprise AI programs—years ahead of the curveWhat the “VP of AI Strategy & Operations” role actually owns (and why vision matters more than hype)How to approach AI governance without slowing down adoptionWhy AI training should be treated as a core employee benefitThe hidden risks of outsourcing AI agents without internal ownershipWhat Generative Engine Optimization (GEO) means—and how AI is reshaping marketing discoveryAlex shares hard-earned lessons from leading analytics, data science, and AI initiatives at scale, including how to balance experimentation with operational rigor, and why companies that delay AI enablement risk falling permanently behind.Alex Czurylo is Chief Strategy & Operations Officer at Gen3 Marketing, where AI sits at the center of how the agency drives performance and innovation for clients. Previously, Alex spent over a decade at Rakuten Advertising leading analytics and operations, where he helped pioneer early enterprise AI use cases focused on automation, insight generation, and measurable ROI.Known for his pragmatic, outcome-driven approach to technology, Alex has been an early adopter of language models and AI systems—long before generative AI entered the mainstream. His work bridges data science, strategy, governance, and organizational change, helping companies turn emerging technology into real business impact.→ Connect with Alex Czurylo on LinkedIn: https://www.linkedin.com/in/alexczurylo/We also dive into:Guest BioResources

Nate Nichols, an early builder in machine-generated content and now a product leader shaping “agentic” analytics, joins host Ryan Kurt for a candid conversation on how generative AI evolved, what we gained, and what we risk losing along the way.We also dive into:How early AI systems differed from today’s agentic models and why that mattersWhy many modern AI breakthroughs were discovered, not deliberately designedAI as a clarity engine: structuring messy thinking into plans, writing, and decisionsThe risks of optimizing AI for engagement and uncomfortable parallels to social mediaWhere agentic AI creates real value today, and where caution is warrantedGuest Bio: Dr. Nate Nichols is a product leader focused on generative and agentic AI for analytics. He previously spent over a decade building machine-generated content and data storytelling systems, and he earned his PhD in Artificial Intelligence from Northwestern University, where his research centered on machine-generated content.Resources → Connect with Nate on LinkedIn: https://www.linkedin.com/in/nate-nichols/

Jen Stave, Launch Director at the Digital, Data, Design Institute at Harvard Business School , joins the AI lab to share expert insight into the most common mistakes in AI transformation, and practical steps for how to avoid them. What is The Digital Data Design Institute at Harvard Business School, and what are their goals Why companies need to rethink their operating model to harness AI tools  How to measure the ROI of a major AI transformation How AI is disrupting data science  The role leadership plays in shepherding AI innovation in an organization Jen is an AI expert, specifically in the landscape of business, and launch director at Digital, Data, and Design Institute at Harvard.  The Digital, Data, and Design Institute is an environment motivating cutting-edge faculty research. They include 12 labs, each designed to explore and solve problems that our world faces today. The Institute also works with leading companies to adapt and secure AI and emerging technologies to transform their organizations.  →Connect with Jen on LinkedIn: linkedin.com/in/jen-stave → ⁠Learn more about Digital, Data, Design Institute at Harvard: https://d3.harvard.edu/

Alex Lehman, Vice President at Sapphire Ventures, joins the AI lab to discuss insight into the investment world after the recent generative AI boom and how businesses can use generative AI in their products.  We dive into: The migration to a talent-based consumer market from a name brand consumer market Should companies stay on the sidelines or start experimenting with AI? The concern of data privacy and AI  Navigating AI-usage with your employees  Alex is an AI Investment expert, Board Advisor at Women in Sports Tech, and Investor at Sapphire Ventures.  At Sapphire Ventures, Alex focuses on enterprise infrastructure, data and analytics, and security. Sapphire contributes specialization, experience, and network to help teams navigate their companies journey to build a successful expansion stage to initial public offering.  Alex is a Board Advisor for the non-profit, Women in Sports Tech, which provides growth and funding opportunities for young women working to pursue careers in sports and technology.  → ⁠Connect with Alex on LinkedIn: linkedin.com/in/alex-lehman-a0252975 → ⁠Learn more about Sapphire Ventures: https://sapphireventures.com/ → ⁠Learn more about Women in Sports Tech: https://www.womeninsportstech.org/

Rohan Sampath, Co-founder at Copilot, joins The AI Lab to discuss how executives can better understand and leverage VOC (Voice of the Customer) using AI. We also dive into: Will AI startups become incumbents worst nightmare? The future of AI-powered sales How understanding customer sentiment with AI can supercharge your go-to-market How Copilot is helping companies dissect customer conversations in 60 seconds The evolution of conversational intelligence and LLMs (Large Language Models) Rohan is an AI expert, advisor, podcast host, and co-founder of Copilot. Copilot helps companies deeply understand the voice of their customer. Their tool records and transcribes customer conversations, use GPT-4 to extract topics, themes and insights that are tailored to your sales process and methodology (MEDDIC/BANT, etc.), and fill out your CRM with a summary of those insights. Rohan is host of the AI Tech Sales Podcast. Every week, he interviews CEOs, Sales Leaders, and AI experts on how they think AI will change revenue organizations and the customer buying journey. → ⁠Connect with Rohan on LinkedIn: https://www.linkedin.com/in/rohansampath/ → ⁠Learn more about Copilot: https://www.copilotup.com/ → ⁠Listen to the AI Tech Sales Podcast: https://ai-tech-sales-podcast.simplecast.com/

Ryan Francis⁠, Partner and President of Chicago-based software studio, ⁠LaunchPad Lab⁠, joins the AI lab to share his perspective on how AI-driven development will redefine UX and programmer workflows. How ChatGPT will impact the future of web & mobile user experience Will ChatGPT replace Google as our go-to web search? How LaunchPad Lab went from development firm to AI firm overnight How ChatGPT will change how developers work How generative AI can transform the staffing industry A entrepreneur and software engineer, Ryan brings a decade of experience building technology that transforms organizations inside out. Ryan is currently Partner and President of Launch Pad Lab, a software studio that seemingly overnight has gone from a firm focused on web, mobile, and Salesforce development to becoming the go-to dev team for generative AI-driven solutions. Before LaunchPad, Ryan held multiple roles within the finance world, most recently as Chief Financial Officer at Elixserve. On the side, him and his dad manufacture bunk beds and loft beds for adults as Francis Lofts & Bunks, a company the two founded in June 2012. Step Brothers anyone? ⁠https://youtu.be/3BlHY69ZsZ0⁠ → ⁠Connect with Ryan on LinkedIn⁠ → ⁠Learn more about LaunchPad Lab

Chris Hohman, VP of Product Management at FICX and Founder of Velocity AI joins the AI lab to discuss the age-old question in tech: to build or buy? In this episode, Chris shares his perspective on the pros and cons of open source vs in-house models — and more! Other topics include: The challenges with generative AI in banking The different levels of impact AI will have on business Why we need to build models with a moral compass; the good & the bad of AI How restricting AI usage can create a digital divide in your company Chris Hohman is a product leader and founder with over two decades of experience in the tech industry. He is currently the VP of Product Management at FICX and Founder of Velocity AI, a consultancy helping business embrace the AI revolution with confidence. From scale-ups to industry Goliaths like Cisco, Adobe, and Amazon, Chris specializes in digital transformation, accelerating engineering efforts up to 50% through resource alignment and product development, and new technologies. With years of experience bringing successful products to market, Chris delivers with a unique combination of vision, leadership, management, and creativity. → ⁠Connect with Chris

Scott Francis, Former CTO of THX, Robert Half, and Technicolor Creative Studios (to name a few) joins the AI lab to discuss the dark side of ChatGPT and how companies *should* be using AI to amplify their differentiation in today's market. Other topics include: Data security, control, and protection in ChatGPT Why leaders need to approach generative AI with a balanced mindset The #1 exercise all leaders should do in the era of AI How to find the right partners to set your AI strategy Setting AI usage policies and avoiding the “slippery slope” A 4x CTO, lifelong programmer, IP expert, and one of the earliest adopters of generative language models in the enterprise. Scott Francis brings over 20 years’ of experience launching “Best Ever Possible” products, building IP portfolios, and driving value for large customers like Wal-Mart, CBS, and eBay. Scott has an impressive track record of unlocking $10s to 100s of millions of dollars in savings and revenue for companies, big and small. → ⁠Connect with Scott

Guy Levy-Yurista, CEO at Synthace joins the AI lab to share insight into the intersection of life sciences and new AI technology, and how it will revolutionize R&D for Big Pharma and beyond. Other topics include: Who should drive a company’s AI strategy? Guy's framework for evaluating & deploying new technology How Big Pharma is accelerating new drug development with AI How scientists can work smarter with AI-driven experiments An accomplished executive with deep multidisciplinary experience across science, technology and business, Guy specializes in commercializing advanced technologies in rapidly changing markets. Most recently, as CEO at Synthase, a life sciences R&D cloud company that is accelerating biological discovery by empowering scientists to flexibly program their lab automation without the need to code. He previously served as the Chief Strategy Officer for Sisense, where he played a pivotal role in their success as a market-leader for data analytics. Guy holds a PhD in Physics from the Weizmann Institute of Science in Israel, an MBA from The Wharton School at the University of Pennsylvania, and is a graduate of the Talpiot program at the Hebrew University of Jerusalem. → ⁠Connect with Guy → ⁠Learn more about Synthace

Kris Hammond, distinguished AI leader, professor of computer science, and co-founder of Narrative Science joins the AI lab to educate and advise leaders who are eager to harness the power of generative AI — while debunking the most common misconceptions in the market today. Other topics include: The new sexiest job on the market How to build the right team to kickstart your AI strategy The role generative AI will play in revolutionizing decision-making 5 questions every business leader should ask before implementing AI Kris is currently the Bill and Cathy Osborn Professor of Computer Science at Northwestern University. As faculty lead of Northwestern’s Computer Science + X initiative, he explores how computational thinking can transform fields like law, medicine, education, and business. Kris also serves as the Director of Northwestern’s Master of Science in Artificial Intelligence (MSAI) program and is founder of the Center for Advancing Safety in Machine Intelligence (CASMI), which aims to operationalize AI system design and evaluation from the perspective of their impact on human life & safety. Additionally, Kris is co-founder of Narrative Science, a generative AI company that specialized in data storytelling (acquired by Salesforce in Dec. 2021). With decades of experience in the field, Kris’ research and work lies at the intersection of data analytics and human + machine communication. His vision is to bridge the gap between the data that serves us and the language we need to understand it. → Connect with Kris on LinkedIn → Learn more about CASMI → Read more about the acquisition of Narrative Science

Cassidy Shield, Chief Revenue Officer at Refine Labs, joins the AI lab to discuss how running the right experiments with generative AI can help business leaders find focus and fit in today’s market. Other topics include: How to approach POCs & prototyping with generative AI Why you shouldn’t lean on a big consultancy to set your AI strategy The secret formula to create competitive positioning with AI Why tools like Midjourney won’t replace high-end creative work Predictions on how (and how fast) AI will evolve A 5X marketing executive & thought leader, Cassidy Shield brings 20+ years of experience to this conversation. Throughout his career, Cassidy has led marketing, sales, product, and supply chain teams at high growth startups and large multinational corporations. In his current role at Refine Labs, he’s helping B2B SaaS companies achieve sustainable revenue growth by changing how they think about, measure, and execute marketing. → Connect with Cassidy → Learn more about Refine Labs