AI Business with Fexingo: Artificial Intelligence Companies, Models, and Enterprise Adoption podcast artwork

PODCAST · business

AI Business with Fexingo: Artificial Intelligence Companies, Models, and Enterprise Adoption

Every weekday, Lucas and Luna examine how artificial intelligence is reshaping enterprise operations, from model architectures to deployment strategies. Lucas, a journalist who has covered technology for a decade, brings the latest earnings reports from Nvidia and Microsoft, funding rounds for Anthropic and Mistral, and regulatory filings from Brussels and Washington. Luna, his co-host with a background in product management, presses him on what these moves mean for a CTO evaluating a multi-cloud AI stack or a procurement officer weighing an OpenAI versus open-source solution. They dissect the actual numbers: inference costs per million tokens, GPU utilization rates at AWS, and the revenue multiples the market assigns to pure-play AI companies. Each episode grounds the hype in quarterly statements, analyst notes, and published white papers. Whether the topic is agentic workflows, retrieval-augmented generation, or the latest transformer variant, Lucas and Luna avoid hype and focus on t

  1. 49

    Why AI Companies Are Now Buying Inference Startups Like DeductiveAI

    In episode 61 of AI Business with Fexingo, Lucas and Luna unpack a surprising acquisition: Elastic just bought DeductiveAI for up to $85 million. DeductiveAI is an inference startup that makes models run faster and cheaper in production. Why would a search company — not an AI model maker — shell out for inference tech? The hosts trace the logic from Elastic's core business to the broader trend of specialized inference acquisitions, referencing Baseten's reported $1.5 billion raise and NVIDIA's $210 stock price. They argue that inference is becoming a commodity battleground, and the real value is in the middleware that optimizes it. This episode drills into one concrete deal to explain why inference startups are suddenly acquisition targets — and what that means for enterprise AI adoption in mid-2026. #DeductiveAI #Elastic #Inference #Baseten #NVIDIA #AIacquisition #EnterpriseAI #AIMiddleware #ModelOptimization #InferenceCosts #AIVentureCapital #StartupMAndA #AIMonetization #BusinessAndTechnology #FexingoBusiness #BusinessPodcast #AIAdoption #TechAcquisition Keep every episode free: buymeacoffee.com/fexingo

  2. 48

    AI Companies Are Building Their Own Chips Not Just Buying Them

    In this episode, Lucas and Luna explore why the biggest AI companies are increasingly designing and manufacturing their own custom silicon. With Broadcom up 6.6% in five days on reports of new custom chip deals, and AMD gaining 4.3% on its MI400 series momentum, the hosts examine how vertical integration is reshaping the AI hardware supply chain. Lucas details why companies like Amazon, Alphabet, and Meta are bringing chip design in-house, while Luna questions whether this threatens Nvidia's dominance. They also discuss the recent government fast-lane mandate for AI data center grid connections, and how that accelerates the need for custom chips optimized for specific power and performance profiles. #AI #CustomChips #ArtificialIntelligence #Broadcom #AMD #Nvidia #Amazon #Alphabet #Meta #VerticalIntegration #AIHardware #Semiconductors #DataCenters #Business #Technology #FexingoBusiness #BusinessPodcast #ChipDesign Keep every episode free: buymeacoffee.com/fexingo

  3. 47

    What the ARM Stock Surge Tells Us About AI Chip Competition

    ARM Holdings jumped over 22% in the past five days, pushing its market cap past $400 billion and reigniting the debate about who really owns AI silicon. In this episode, Lucas and Luna unpack what the ARM surge means — not for day traders, but for anyone watching the AI infrastructure stack. They compare ARM's licensing model to NVIDIA's integrated approach, examine why AMD is also up nearly 5% while Super Micro Computer dropped 13%, and explore the strategic pivot from chip designers selling cores to selling complete AI-ready platforms. Lucas references the recent ARMv9 announcement, the shift toward custom chiplets, and why hyperscalers like Amazon and Google are hedging their bets by designing their own ARM-based chips. Luna pushes back on the 'ARM is the new Intel' narrative, asking whether the real winner is actually the fabless model itself — or the companies that own the software stack above the silicon. Specific data points include ARM's trailing price-to-earnings ratio above 80, the growth in server CPU revenue for ARM relative to x86, and what it means for enterprise buyers who just want inference to get cheaper. No hot takes, just a grounded look at how the chip war is evolving in mid-2026. #ARM #AI #Semiconductors #ChipDesign #NVIDIA #AMD #StockSurge #Licensing #Infrastructure #Chiplets #ARMv9 #DataCenter #Hyperscalers #Enterprise #Business #Technology #FexingoBusiness #BusinessPodcast Keep every episode free: buymeacoffee.com/fexingo

  4. 46

    Why AI Companies Are Building Their Own Search Engines

    In this episode of AI Business with Fexingo, Lucas and Luna explore a growing trend: AI model makers like OpenAI, Anthropic, and xAI are building their own search engines instead of relying on Google or Bing. They discuss how this vertical integration changes data access, training pipelines, and user experience. With reference to recent news showing only 16 percent of Americans believe AI will positively impact society, they examine whether owning search gives AI companies more control over truthfulness—or more risk of bias. Specific examples include OpenAI's SearchGPT prototype and Anthropic's Claude-powered web search. The conversation also touches on how this shift affects traditional search ad revenue and the economics of AI inference at scale. #AI #SearchEngines #OpenAI #Anthropic #xAI #Google #MicrosoftBing #SearchGPT #Claude #VerticalIntegration #EnterpriseAI #BusinessAndTechnology #Podcast #FexingoBusiness #BusinessPodcast #AISearch #InferenceCredits #DataStrategy Keep every episode free: buymeacoffee.com/fexingo

  5. 45

    Why AI Companies Are Buying Power Plants Not Just Chips

    Lucas and Luna explore a striking shift in AI infrastructure strategy: major AI companies are now acquiring power plants directly rather than relying solely on the grid. With a single large language model training run consuming as much electricity as thousands of homes, firms like OpenAI and Anthropic are signing long-term power purchase agreements and even buying existing natural gas and renewable plants. Lucas breaks down the economics, including how this move insulates AI companies from volatile energy prices and grid constraints, while Luna questions whether this vertical integration signals a long-term bet on energy as the next AI moat. Specific data points from the current market—including NVIDIA's 3.5% weekly gain and ARM's 28.9% surge—anchor the discussion in today's reality. #AIEnergy #PowerPlants #DataCenters #Infrastructure #NVIDIA #ARM #OpenAI #Anthropic #RenewableEnergy #NaturalGas #VerticalIntegration #GridConstraints #BusinessAndTechnology #Podcast #FexingoBusiness #BusinessPodcast #AICompanies #EnergyEconomics Keep every episode free: buymeacoffee.com/fexingo

  6. 44

    Why AI Companies Are Buying Power Plants Not Just Chips

    AMD shares surged 14.9% in five days, but the AI industry's bottleneck is shifting from chip supply to electricity supply. Lucas and Luna explore how major AI companies are now signing long-term power purchase agreements with nuclear and renewable plants, locking in energy for training clusters that consume as much electricity as a small city. They discuss the numbers: a single training run can cost $4 million in power alone, and hyperscalers are already reserving gigawatts of capacity. The hosts examine why this vertical integration into energy procurement is reshaping capital allocation strategies across the sector, and what it means for investors watching the next phase of AI infrastructure buildout. #ArtificialIntelligence #AIInfrastructure #EnergyCrisis #PowerPurchaseAgreements #NuclearEnergy #RenewableEnergy #DataCenters #AMD #NVIDIA #Hyperscalers #CapitalAllocation #BusinessStrategy #TechInvesting #CleanEnergy #GridConstraints #BusinessAndTechnology #FexingoBusiness #BusinessPodcast Keep every episode free: buymeacoffee.com/fexingo

  7. 43

    Why AI Companies Are Betting on Domain Experts Over Engineers

    Episode 55 of AI Business with Fexingo explores a quiet but seismic shift in AI hiring: the move from pure engineering talent to domain experts. Lucas and Luna dig into why companies like Anthropic and Google DeepMind are now recruiting chemists, lawyers, and even anthropologists to train and fine-tune models. They discuss how synthetic data and specialized knowledge are reshaping the AI workforce, and why the 'generalist AI engineer' may soon be a thing of the past. With NVIDIA trading at $212 and ARM at $412, the hardware race is still on, but the competitive edge is increasingly coming from human expertise in fields like biology, law, and finance. If you're building or investing in AI, this episode offers a practical lens on where the talent war is heading. #AIHiring #DomainExperts #Anthropic #GoogleDeepMind #SyntheticData #AIWorkforce #BusinessAndTechnology #FexingoBusiness #BusinessPodcast #AITalent #NVIDIA #ARM #ModelTraining #EnterpriseAI #AILaborMarket #TechHiring #SpecializedKnowledge #AITraining Keep every episode free: buymeacoffee.com/fexingo

  8. 42

    Why AI Companies Are Hiring Anthropologists

    In this episode of AI Business with Fexingo, Lucas and Luna explore a surprising trend: AI companies hiring anthropologists. They discuss why firms like Anthropic and Google DeepMind are bringing in social scientists to study human behavior, improve model safety, and bridge the gap between technical development and real-world use. The conversation touches on how ethnographic research helps reduce bias, make AI more intuitive, and address cultural nuances—especially as models deploy globally. Lucas shares a striking stat: the number of anthropology job listings at top AI firms has doubled year-over-year since 2024. Luna pushes back with examples of past failures when tech ignored social context. Together, they unpack how deep understanding of human culture is becoming a competitive advantage in AI development on this June 15, 2026 episode. #AI #Anthropology #ArtificialIntelligence #Business #Technology #EnterpriseAI #AICompanies #Anthropic #GoogleDeepMind #HumanBehavior #AISafety #Bias #Ethnography #SocialScience #AIDevelopment #FexingoBusiness #BusinessPodcast #AIJobs Keep every episode free: buymeacoffee.com/fexingo

  9. 41

    Why AI Companies Are Hiring Anthropologists

    In episode 53 of AI Business with Fexingo, Lucas and Luna explore a surprising hiring trend among the biggest AI model makers: bringing in anthropologists and social scientists. They discuss why companies like Anthropic, Google DeepMind, and OpenAI are investing in ethnographic research to understand how their models are actually being used in the wild, and how this shifts AI development from purely technical to human-centered. The conversation touches on concrete examples, including a field study at a Midwestern hospital that changed how a model handled medical triage, and connects to broader market signals like the recent surge in ARM stock (up nearly 10% in five days) as inference workloads grow. Lucas and Luna also reference the latest TechCrunch story about AI companies racing to go public, and why understanding user context is becoming a competitive moat. A brief, organic donation segment reminds listeners that the show remains ad-free thanks to support at buy me a coffee dot com slash fexingo. No fluff, just a focused look at one new angle in enterprise AI adoption. #Anthropology #AI #GenAI #ModelMakers #Anthropic #DeepMind #OpenAI #HumanCenteredAI #Ethnography #EnterpriseAdoption #Inference #ARM #TechCrunch #IPO #Business #Technology #FexingoBusiness #BusinessPodcast Keep every episode free: buymeacoffee.com/fexingo

  10. 40

    Why AI Companies Are Hiring Former Regulators

    As AI companies race to go public and face intensifying global scrutiny, a new hiring trend is emerging: former government regulators are moving into senior compliance and policy roles at leading AI firms. Lucas and Luna dig into why companies like Anthropic, OpenAI, and Meta are building in-house regulatory teams, what it means for the pace of innovation, and how the market is reacting. They look at the numbers behind the shift—including the 30.8% drop in Super Micro Computer's stock and Microsoft's 5.1% decline—and ask whether hiring regulators signals a maturing industry or a defensive crouch. Specific examples include the FTC's recent AI guidelines and the EU AI Act's enforcement timeline. A tight, concrete look at how the AI industry is preparing for a new era of oversight. #AI #Regulation #Hiring #Policy #Compliance #Anthropic #OpenAI #Meta #FTC #EUAIAct #EnterpriseAI #BusinessAndTechnology #FexingoBusiness #BusinessPodcast #AICompliance #TechPolicy #AIRegulation #LucasAndLuna Keep every episode free: buymeacoffee.com/fexingo

  11. 39

    Why AI Models Are Now Training on Synthetic Data

    Episode 51 of AI Business with Fexingo explores the shift from human-annotated to synthetic training data. Lucas and Luna break down a June 2026 report showing that 60% of AI model training data is now AI-generated. They discuss Anthropic's suspension of new model access in India, the KPMG hallucination scandal, and why companies like OpenAI and Meta are turning to synthetic data despite risks like model collapse. Specific examples include Microsoft's Phi-4 model and the concept of 'distillation loops.' The hosts also address the economics: synthetic data cuts annotation costs by up to 90%, but introduces new quality control challenges. Tune in for a grounded look at how AI is learning from itself. #SyntheticData #AITraining #Anthropic #KPMG #ModelCollapse #DataAnnotation #MicrosoftPhi4 #OpenAI #Meta #Distillation #AIQuality #TrainingData #Business #Technology #FexingoBusiness #BusinessPodcast #AI #June2026 Keep every episode free: buymeacoffee.com/fexingo

  12. 38

    Why AI Companies Are Now Training on Their Own Customers Data

    Episode 50 of AI Business with Fexingo dives into the quiet shift happening inside major AI labs: training models on customer inference data. Lucas and Luna unpack how Amazon CEO Andy Jassy reportedly raised concerns about Anthropic's data practices before the recent government crackdown, and what the OpenAI state attorneys general investigation means for enterprise adoption. They connect this to the market rout in AI infrastructure stocks like Super Micro Computer, down 30 percent in a week, and explain why the new terms of service at companies like OpenAI and Anthropic could reshape the entire AI supply chain. A must-listen for anyone building on third-party models. #AI #ArtificialIntelligence #DataPrivacy #TrainingData #Amazon #Anthropic #OpenAI #AndyJassy #EnterpriseAI #AIModels #InferenceData #SuperMicro #AICrackdown #AttorneyGeneral #TechRegulation #Business #Technology #FexingoBusiness #BusinessPodcast Keep every episode free: buymeacoffee.com/fexingo

  13. 37

    Why AI Hiring Is Shifting From Engineers to Domain Experts

    Episode 49 of AI Business with Fexingo: Lucas and Luna examine a surprising trend in AI company hiring—the pivot from pure software engineers to domain experts in fields like biology, manufacturing, and law. They explore why model makers like OpenAI and Anthropic are now hiring specialists to improve real-world applications, and how this shift is reshaping the talent market. The hosts discuss a recent report showing that AI job postings requiring domain expertise have risen 40% year-over-year, while general software engineering roles in AI have flattened. They also touch on how this trend connects to the recent sell-off in AI hardware stocks like Super Micro Computer, down 30% in five days, and what it means for enterprise adoption. Plus: a brief word on why the show stays ad-free and how listeners can support it. #AIHiring #DomainExperts #OpenAI #Anthropic #AITalent #EnterpriseAI #AIJobs #SuperMicro #HardwareStocks #TalentShift #AIAdoption #LaborMarket #Business #Technology #FexingoBusiness #BusinessPodcast #AIBusiness #AIModels Keep every episode free: buymeacoffee.com/fexingo

  14. 36

    Why AI Companies Are Hiring Nuclear Engineers

    This episode explores a surprising hiring trend in AI: companies like Microsoft and Amazon are actively recruiting nuclear engineers to help power their data centers. Lucas and Luna discuss how the AI industry's insatiable energy demand is driving a shift toward small modular reactors (SMRs) and advanced nuclear designs. They break down the economics—why nuclear is suddenly competitive with natural gas for 24/7 baseload power—and highlight a specific case: Microsoft's partnership with TerraPower to pilot a sodium-cooled reactor in Wyoming. The hosts also touch on the broader implications for the grid, including regulatory hurdles and the race to secure carbon-free energy for AI workloads. With NVIDIA's stock down 1.8% this week and AMD up 5%, they connect market moves to the escalating compute arms race. A thought-provoking look at how AI's energy problem is reshaping the energy industry itself. #AI #ArtificialIntelligence #NuclearEnergy #DataCenters #SmallModularReactors #Microsoft #Amazon #TerraPower #EnergyGrid #CleanEnergy #TechWorkforce #HiringTrends #AIInfrastructure #Sustainability #Business #Technology #FexingoBusiness #BusinessPodcast Keep every episode free: buymeacoffee.com/fexingo

  15. 35

    Why AI Model Makers Are Going Vertical Into Robotics

    Episode 47 of AI Business with Fexingo tackles the biggest strategic shift in AI since the chat wars: model makers building physical robots. Lucas and Luna unpack why OpenAI, Anthropic, and even Jeff Bezos's Prometheus are moving bits to atoms, using data from the June 2026 market landscape. They analyze Avataar's video AI for India's scale, the $12 billion Prometheus raise, and theker's $85 million general-purpose factory robot. The hosts debate whether this is a necessary integration or a capital-burning distraction, and what it means for enterprise adoption and hardware stocks like SMCI, which dropped 23% in a week. A concrete look at why AI companies are no longer satisfied with just software. #AI #Robotics #OpenAI #Anthropic #Prometheus #Avataar #Theker #JeffBezos #ArtificialGeneralIntelligence #EnterpriseAI #ModelMakers #HardwareStocks #SMCI #Business #Technology #AIBusiness #FexingoBusiness #BusinessPodcast Keep every episode free: buymeacoffee.com/fexingo

  16. 34

    Why the Biggest AI Companies Are Now Building Their Own Chips

    Episode 46 of AI Business with Fexingo. Lucas and Luna explore why major AI companies like Microsoft, Meta, and Alphabet are moving away from relying solely on NVIDIA and AMD for their AI compute. With Microsoft down 6.3% in the last five days and Meta down 4.1%, the hosts examine how owning chip design could shift cost structures, supply chains, and performance. They discuss the economics in-house silicon and what it means for investors and enterprise buyers. Specific data points include Microsoft's recent 6.3% drop and Meta's 4.1% decline, plus Super Micro Computer's 23.2% plunge highlighting the hardware shakeout. The conversation is grounded in the June 2026 market reality and recent moves by Jeff Bezos's Prometheus raising $12 billion for physical-world AI. This episode drills into one concrete question: does building your own chip make financial sense, or is it a distraction? #AI #ArtificialIntelligence #AIHardware #ChipDesign #NVIDIA #AMD #Microsoft #Meta #Alphabet #InHouseChips #AICost #Compute #EnterpriseAI #Semiconductors #TechStocks #Business #BusinessPodcast #FexingoBusiness Keep every episode free: buymeacoffee.com/fexingo

  17. 33

    Why AI Model Makers Are Now Selling Inference Credits Like Cloud Providers

    In episode 45 of AI Business with Fexingo, Lucas and Luna explore a quiet but seismic shift in the AI industry: model makers like OpenAI, Anthropic, and Cohere are moving beyond selling API tokens to offering inference compute credits — bundles of GPU time that customers can allocate across applications, much like AWS reserved instances. The hosts unpack why this model emerged, how it changes pricing for enterprises, and what it means for the hardware vs. software divide. Lucas cites Super Micro Computer's 26% drop over five days as a signal that hardware demand may be softening as software margins tighten. Luna connects the trend to Microsoft's 6.9% dip, noting that even cloud giants are being squeezed. The episode drills into one concrete number: inference-as-a-service margins of 70-80% versus the 40-50% typical of hardware leasing. A must-listen for operators and builders navigating AI procurement in mid-2026. #AIInferenceCredits #OpenAI #Anthropic #Cohere #CloudPricing #GPUCompute #AIEnterprise #AIEconomics #ModelMakers #AIHardware #SuperMicroComputer #MSFT #EnterpriseAI #BusinessAndTechnology #Podcast #FexingoBusiness #BusinessPodcast #AIAdoption Keep every episode free: buymeacoffee.com/fexingo

  18. 32

    AI Model Makers Are Rewriting Their Org Charts in 2026

    Lucas and Luna unpack a surprising trend: top AI labs like Anthropic and xAI are radically flattening their management structures. Lucas points to a recent TechCrunch report that Anthropic CEO Dario Amodei has just one direct report — a stark contrast to traditional tech hierarchies. They discuss why safety engineers are raising alarms, as a new lawsuit against xAI reveals, and what this means for enterprise buyers trying to partner with these companies. The hosts explore whether flat orgs speed up innovation or introduce new risks. Specific examples include xAI's Grok safety lawsuit, the Opendoor India exit as a side-effect of AI, and what Microsoft's $397.36 stock price says about enterprise confidence. A must-listen for anyone navigating AI partnerships or investing in the space. #Anthropic #xAI #DarioAmodei #Grok #AISafety #FlatOrgStructure #TechCrunch #Opendoor #AIOutsourcing #EnterpriseAI #AIWorkforce #AICulture #BusinessAndTechnology #FexingoBusiness #BusinessPodcast #AIStocks #AILeadership #June2026 Keep every episode free: buymeacoffee.com/fexingo

  19. 31

    AI Companies Are Spending 7500 per Employee Per Month

    A new report shows AI-pilled companies spend $7,500 per employee each month on AI tools. Lucas and Luna break down where the money goes, what it means for enterprise budgets, and why hardware stocks are getting crushed. Plus: how Super Micro Computer's 31% weekly drop signals a market reassessment of AI infrastructure spending. #AI #EnterpriseAI #AIspending #AICosts #SuperMicroComputer #NVDA #SMCI #HardwareStocks #AITools #Productivity #BusinessPodcast #FexingoBusiness #TechNews #June2026 #AIBudgets #AIAdoption #CloudCosts #AIInfrastructure Keep every episode free: buymeacoffee.com/fexingo

  20. 30

    GM Joins the Race to Build AI Data Center Batteries

    General Motors has joined the race to build batteries for AI data centers and the grid, marking a major shift for the automaker as AI's insatiable energy demand creates new industrial opportunities. This episode breaks down why a car company is now competing with Tesla and traditional battery giants, what GM's specific technology advantage might be, and how AI energy costs — now exceeding $500 billion annually — are driving non-tech companies into the AI supply chain. We also explore what this means for the grid and data center operators facing 10-year wait times for utility power. Featuring specific numbers on GM's battery production capacity, data center energy consumption, and the new partnerships forming between automakers and cloud providers. #GM #Batteries #AIDataCenters #Energy #Grid #Automotive #Tesla #BatteryTechnology #Ultium #Microsoft #AICloud #SupplyChain #CleanEnergy #Business #Technology #IndustrialPolicy #DataCenterInfrastructure #FexingoBusiness Keep every episode free: buymeacoffee.com/fexingo

  21. 29

    Apple Siri AI Integration Reshapes Enterprise Workflows

    In this episode, Lucas and Luna unpack Apple's WWDC 2026 announcements, focusing on the deeper Siri AI integration across iOS 27 and macOS. They explore how Apple's on-device AI strategy contrasts with cloud-heavy competitors like Microsoft and Google, and what this means for enterprise adoption. The conversation drills into a specific use case: how Siri's ability to query internal documents and automate tasks without sending data to the cloud could sway corporate IT decisions. They reference the recent sell-off in AI hardware stocks—NVIDIA down 3.5%, AMD down 13.8%, Broadcom down 18.9% over five days—as context for why Apple's efficiency-focused approach might appeal to budget-conscious CIOs. The hosts also discuss how Apple's privacy-first framing could give it an edge in regulated industries like healthcare and finance, where data sovereignty is paramount. No fluff, just concrete analysis of one shift that could reshape enterprise AI adoption. #Apple #SiriAI #WWDC2026 #iOS27 #EnterpriseAI #OnDeviceAI #Privacy #Microsoft #Google #NVIDIA #AMD #Broadcom #EnterpriseWorkflows #DataSovereignty #RegulatedIndustries #Business #FexingoBusiness #BusinessPodcast Keep every episode free: buymeacoffee.com/fexingo

  22. 28

    Why AI Gross Margins Are Splitting Software From Hardware

    Episode 40 of AI Business with Fexingo dives into the widening margin gap between AI software and hardware companies. As of June 9, 2026, Broadcom's stock dropped 17.6% in five days while Palantir fell 10.3%, but the divergence reveals more than just market jitters. Lucas and Luna break down why AI infrastructure companies like NVIDIA and AMD are seeing margins compress under surging capital expenditure, while software platforms like OpenAI and Copilot maintain gross margins above 70%. The hosts examine how enterprise buyers are forcing transparency around compute costs, and why leasing vs. owning hardware is becoming a strategic bet. Through the lens of Broadcom's VMware transition and Palantir's AIP pricing model, the episode argues that the next phase of AI competition will be won on margin structure, not model accuracy alone. #AIGrossMargins #Broadcom #Palantir #NVIDIA #AMD #AISoftware #AIHardware #EnterpriseAI #Margins #InfrastructureSpending #AIInvestment #VMware #AIPPricing #TechStocks #BusinessAndTechnology #SoftwareVsHardware #FexingoBusiness #BusinessPodcast Keep every episode free: buymeacoffee.com/fexingo

  23. 27

    Apple Siri App Ties the Knot Between AI Personal and Enterprise

    On today's AI Business with Fexingo, Lucas and Luna unpack Apple's dedicated Siri app announcement from June 8, 2026. Why does a company known for tight integration suddenly spin its voice assistant into a standalone app? The hosts trace the strategic logic: from Siri's new bill-splitting 'Siri in Camera' feature to enterprise use cases in scheduling, dictation, and health. They connect the move to broader trends in AI commoditization — referencing Broadcom's 17.8% drop as hardware loses appeal while software-defined AI gains. The conversation drills into what Apple's gamble means for developers, IT buyers, and the smart speaker market. No fluff, just one concrete angle: the personal AI assistant as the new enterprise interface. #Apple #SiriApp #SiriInCamera #AIEnterprise #BusinessTechnology #Podcast #FexingoBusiness #BusinessPodcast #AIPersonalAssistant #VoiceAssistant #EnterpriseAI #Broadcom #AIHardware #SmartSpeaker #AICommoditization #TechStocks #June2026 #AIAdoption Keep every episode free: buymeacoffee.com/fexingo

  24. 26

    AI Cloud Costs Drive Shift to Leasing

    Lucas and Luna examine a striking trend in the AI industry: enterprises are abandoning massive cloud commitments in favor of leasing hardware. As of June 2026, AI hardware stocks like Broadcom and Arm have dropped over 16% in five days, while software companies like Meta and Apple have held steady. Lucas explains why the shift from buying to renting compute is reshaping the economics of AI, using recent data on GPU utilization and cloud pricing. Luna questions whether this is a short-term reaction to budget overruns or a permanent structural change. They discuss how startups like Together AI and CoreWeave are pioneering leasing models, and why even giants like Microsoft are reconsidering their data center strategies. The episode includes a specific case: a mid-sized fintech that cut AI costs by 40% by moving from reserved cloud instances to on-demand GPU leasing. The hosts explore what this means for the future of AI hardware demand and enterprise spending. #AIcomputing #cloudcosts #GPUleasing #enterpriseAI #Broadcom #ARMholdings #CoreWeave #TogetherAI #hardwarestocks #AIspending #cloudcommitments #datacenter #Aieconomics #NVIDIA #Microsoft #fintech #Business #FexingoBusiness Keep every episode free: buymeacoffee.com/fexingo

  25. 25

    Why AI Stocks Are Splitting Into Hardware and Software

    Lucas and Luna unpack the dramatic divergence in AI stocks as of June 2026. While NVIDIA and AMD have dropped 8.5% in five days, Apple is up 0.3% and Meta down just 1.2%. The hosts drill into one key driver: investors are now pricing hardware and software AI plays differently. Lucas walks through the numbers—AVGO down 16%, SMCI down 11%—and explains why the market is suddenly distinguishing between 'picks and shovels' and 'app layer' companies. Luna pushes back on whether the selloff is rational, given that enterprise AI spending is still growing. They trace the shift back to Alphabet's $80 billion capex announcement and the ensuing margin debate, and end with a look at what the divergence means for the rest of the year. A focused, data-driven conversation that helps listeners understand the current market rotation in AI. #AIStocks #HardwareVsSoftware #NVIDIA #AMD #Apple #Meta #AIInvesting #StockMarket #ChipStocks #SoftwareStocks #Alphabet #EnterpriseAI #MarketRotation #TechStocks #AISelloff #Business #FexingoBusiness #BusinessPodcast Keep every episode free: buymeacoffee.com/fexingo

  26. 24

    Why AI Hardware Stocks Are Crashing While Software Surges

    This episode unpacks the massive divergence in AI markets as of June 2026: hardware stocks like NVIDIA, Broadcom, and Super Micro Computer are down 8-16% in a week, while software players like Meta and Apple hold steady or gain. Lucas and Luna dig into the data—NVIDIA at $205, Broadcom at $386—and explore three forces behind the sell-off: hyperscaler capex fatigue, the rise of purpose-built ASICs eroding GPU demand, and a rotation toward AI applications that generate revenue today. They also discuss what this means for enterprise buyers and investors, and whether the hardware rout signals a long-term shift or a buying opportunity. #AIHardware #NVIDIA #Broadcom #SuperMicro #AMD #AIStocks #Semiconductor #Capex #ASIC #GPU #MarketRotation #AIEnterprise #June2026 #FexingoBusiness #BusinessPodcast #AIInvesting #TechStocks #AIInfrastructure Keep every episode free: buymeacoffee.com/fexingo

  27. 23

    Why AI Companies Are Slashing Cloud Commitments for Leasing

    In this episode of AI Business with Fexingo, Lucas and Luna examine a surprising shift in how AI companies are funding their compute infrastructure. With NVIDIA down 8.5% in the last five days and Broadcom and Arm each off over 16%, the hardware sell-off is raising questions about demand. But beneath the surface, a structural change is underway: instead of signing multi-year cloud contracts worth hundreds of millions, AI firms are turning to GPU leasing and compute brokerage. Lucas walks through the economics of a four-year $100 million cloud commitment versus leasing capacity on demand, citing real data from the hyperscaler earnings calls. They discuss why this trend is bullish for companies like CoreWeave but bearish for data-center REITs, and what it means for the broader AI infrastructure buildout. The episode closes with a forward-looking question about whether leasing will eventually dominate enterprise compute procurement, reshaping the entire cloud industry. #AI #ComputeCosts #CloudComputing #GPULeasing #NVIDIA #Broadcom #CoreWeave #DataCenters #Infrastructure #EnterpriseAI #HardwareStocks #Hyperscalers #BusinessStrategy #TechTrends #FexingoBusiness #BusinessPodcast #June2026 #AIInfrastructure Keep every episode free: buymeacoffee.com/fexingo

  28. 22

    Why AI Compute Costs Are Crushing Hardware Stocks

    Lucas and Luna examine the AI hardware selloff gripping June 2026. Broadcom and ARM are down over 16% in five days, NVIDIA lost eight and a half percent, and Super Micro Computer dropped eleven percent. The hosts connect the dots to a massive shift: Google's reported nine hundred twenty million dollar monthly deal with SpaceX for compute capacity signals that hyperscalers are aggressively diversifying away from traditional chip suppliers. Lucas explains how the market is pricing in a future where AI hardware margins compress as compute becomes a commodity-like utility, and Luna points out that Apple, which relies less on AI hype, is flat. They discuss whether the selloff is a buying opportunity or a structural reset for the semiconductor industry. #AIHardware #SemiconductorSelloff #NVIDIA #Broadcom #ARM #SuperMicro #GoogleSpaceX #ComputeCommoditization #HyperscalerDiversification #AIInfrastructure #DataCenterEconomics #June2026 #StockMarketCorrection #ChipStocks #Business #Technology #FexingoBusiness #BusinessPodcast Keep every episode free: buymeacoffee.com/fexingo

  29. 21

    Why AI Chip Stocks Are Falling in June 2026

    Lucas and Luna dig into the sharp declines in AI hardware stocks in early June 2026 — NVIDIA down 8% in five days, AMD off 7.7%, and Arm dropping over 16%. They explore three structural reasons: the shift from custom silicon to commodity APIs, a brewing margin squeeze in data center chips, and the market's growing impatience with AI capex that hasn't yet delivered revenue acceleration. Using Palantir's 15.8% weekly slide as a case study, they argue that the AI trade is rotating, not ending. The episode connects these market moves to enterprise adoption patterns and rising competition from hyperscaler in-house chips. #AIHardware #NVIDIA #AMD #Arm #Palantir #EnterpriseAI #AIStocks #DataCenter #Semiconductors #AICommoditization #GrossMargins #Capex #Business #Technology #FexingoBusiness #BusinessPodcast #June2026 #MarketRotation Keep every episode free: buymeacoffee.com/fexingo

  30. 20

    Why AI Models Are Now Being Built By Former Rivals

    This episode of AI Business with Fexingo explores a counterintuitive trend in the AI industry: former competitors are teaming up to build the next generation of models. Lucas and Luna break down the economics behind this shift, using the recent partnership between Cohere and Mistral AI as a focal point. They discuss the staggering capital requirements for frontier model training—hundreds of millions in compute alone—and how even well-funded startups are realizing that going it alone is no longer viable. The conversation touches on why this consolidation mirrors earlier tech cycles, and what it means for enterprise buyers who now face even fewer independent model providers. With specific references to NVIDIA's hardware costs and the soaring price of H100 clusters, the episode grounds the discussion in real numbers. Key takeaways: the cost of training at scale is forcing collaboration, talent is pooling in fewer orgs, and the era of the solo AI lab may be ending. #AI #ArtificialIntelligence #Business #Technology #Cohere #MistralAI #ModelTraining #AIInfrastructure #NVIDIA #H100 #ComputeCosts #Consolidation #Startups #EnterpriseAI #FrontierModels #FexingoBusiness #BusinessPodcast #AIModels Keep every episode free: buymeacoffee.com/fexingo

  31. 19

    How Palantir Lost 10 Billion in a Week

    In this episode of AI Business with Fexingo, Lucas and Luna examine Palantir's 9.7% stock drop over five days in early June 2026, wiping out roughly $10 billion in market cap. They dig into why the market is suddenly punishing Palantir despite its government AI contracts and strong revenue growth. The hosts contrast Palantir's premium valuation with AI hardware names like ARM and Nvidia, which have surged on infrastructure spending. They question whether the market is finally applying a reality check to AI pure-plays that trade at absurd multiples. Using live data from June 4, 2026, they unpack the disconnect between Palantir's forward price-to-earnings ratio of over 50 times and its slowing customer acquisition growth. They also explore the broader implication: are investors rotating out of AI software into AI hardware? This episode offers a sharp, data-driven look at the valuation reckoning hitting one of the most hyped AI stocks. #Palantir #AIStocks #Valuation #StockMarket #Investing #Business #Finance #ArtificialIntelligence #EnterpriseAI #PLTR #AIHardware #ARM #NVIDIA #StockDrop #MarketCap #FexingoBusiness #BusinessPodcast #AIInvesting Keep every episode free: buymeacoffee.com/fexingo

  32. 18

    Why AI Companies Are Obsessed With Gross Margins Now

    Lucas and Luna examine an overlooked shift in the AI business landscape: the sudden obsession with gross margins. As AI model commoditization accelerates, companies like NVIDIA, Broadcom, and Super Micro Computer are seeing diverging stock performance tied directly to margin narratives. The hosts break down why Broadcom's 12.3% weekly gain reflects its custom-chip margin story, while NVIDIA's flat performance signals market skepticism about long-term margin sustainability. They discuss how margin pressure is reshaping enterprise AI purchasing decisions, from hardware procurement to software licensing. The episode explores what happens when AI goes from a growth-at-all-costs phase to a margin-discipline era, and why gross margin percentage might be the most important metric in AI investing for the rest of 2026. #GrossMargins #AIBusiness #NVIDIA #Broadcom #SuperMicro #CustomChips #MarginPressure #AIHardware #EnterpriseAI #BusinessStrategy #Technology #Investing #StockMarket #AICommoditization #FexingoBusiness #BusinessPodcast #AICompanies #June2026 Keep every episode free: buymeacoffee.com/fexingo

  33. 17

    Why AI Hardware Stocks Are Surging While Big Tech Lags

    Episode 29 of AI Business with Fexingo examines the growing divergence between AI hardware stocks and big tech shares as of June 2026. Lucas and Luna analyze data showing ARM Holdings up 24% in a week, Broadcom up 14%, while Alphabet and Amazon have dropped 7-9%. They explore three drivers: the shift from AI training to inference chips, hyperscaler capex rotations away from consumer cloud, and the rise of custom silicon for edge AI. The hosts also discuss how enterprise AI spending is concentrating on infrastructure rather than applications, and what this means for investors and builders. With specific references to NVIDIA's 0.8% five-day gain versus ARM's 24% surge, the episode offers a grounded look at market signals that separate infrastructure winners from the rest. A must-listen for anyone tracking where AI capital is flowing in mid-2026. #AIHardware #ARMHoldings #Broadcom #NVIDIA #AMD #SemiconductorStocks #InferenceChips #EdgeAI #CustomSilicon #HyperscalerCapex #EnterpriseAI #AIInfrastructure #StockMarketDivergence #BusinessAndTechnology #FexingoBusiness #BusinessPodcast #June2026 #AICapitalFlows Keep every episode free: buymeacoffee.com/fexingo

  34. 16

    Why Enterprises Are Capping AI Spending After Blowing Budgets

    Uber capped employee AI spending after blowing through its budget in just four months. Lucas and Luna break down what happened, why it's not a sign of AI disillusionment, and what it reveals about the real cost of enterprise AI adoption. They examine how the shift from pilots to production is hitting budgets hard, why companies like Uber are imposing guardrails instead of cutting AI entirely, and what this means for the broader enterprise market. With data on AI hardware stocks surging in June 2026, the hosts argue that the spending boom is real but increasingly controlled. A must-listen for operators and builders navigating the gap between AI enthusiasm and financial discipline. #Uber #EnterpriseAI #AISpending #BudgetCaps #AICosts #ProductionAI #AIPilots #TechBudgets #AIDiscipline #BusinessAndTechnology #FexingoBusiness #BusinessPodcast #AIAdoption #AIGuardrails #AIOperations #AIFinance #AIScaling #NVIDIA Keep every episode free: buymeacoffee.com/fexingo

  35. 15

    Why AI Hardware Stocks Are Surging in June 2026

    Lucas and Luna break down the latest surge in AI hardware stocks, with a spotlight on SMCI, ARM, and AVGO. They discuss the shift from training to inference driving demand for custom chips, the data center buildout, and why enterprise adoption is finally translating into real revenue for semiconductor companies. Plus, a look at how Google's new fake call detection fits into the AI security landscape. #AIHardware #SemiconductorStocks #SMCI #ARMHoldings #Broadcom #NVIDIA #AMD #DataCenter #Inference #ChipDesign #EnterpriseAI #AIStocks #June2026 #MarketSurge #TechInvesting #BusinessPodcast #FexingoBusiness #ArtificialIntelligence Keep every episode free: buymeacoffee.com/fexingo

  36. 14

    Alphabet's 80 Billion Dollar AI Bet and What It Means

    Alphabet just announced plans to raise $80 billion for its AI infrastructure buildout. Lucas and Luna break down what that staggering number actually buys — data centers, GPUs, networking, power — and why it signals a shift in how Big Tech thinks about AI spending. They contrast Alphabet's capex-heavy approach with Microsoft's more modular strategy and Nvidia's pivot to the CPU market with AI agent PCs. Plus a look at how enterprise AI budgets are growing even as companies cut elsewhere. If you've wondered where the money in AI is really going, this episode drills into the one number that explains it all. #Alphabet #AIInfrastructure #80Billion #BigTech #Google #Microsoft #Nvidia #AICapex #DataCenters #AIAgentPCs #EnterpriseAI #Business #Technology #FexingoBusiness #BusinessPodcast #AIInvestment #CloudComputing #HardwareBuildout Keep every episode free: buymeacoffee.com/fexingo

  37. 13

    Why AI Hardware Stocks Are Surging in June 2026

    As of June 1, 2026, AI hardware and semiconductor stocks are seeing massive gains: Palantir up 19.2%, Broadcom up 9%, and Super Micro up 28.8% in just five days. In this episode, Lucas and Luna unpack what's driving the rally—from enterprise inference demand to the IPO filing by Anthropic. They focus on the shift from training to inference hardware, the rise of custom ASICs, and why investors are betting on companies that enable AI deployment rather than just model development. A deep dive into the numbers and the strategic moves behind them. #AIHardwareStocks #SemiconductorRally #Palantir #Broadcom #SuperMicro #AnthropicIPO #EnterpriseAI #AIInference #CustomASICs #AIInvesting #TechStocks #June2026 #MarketMovers #BusinessTechnology #FexingoBusiness #BusinessPodcast #AIAdoption #HardwareDemand Keep every episode free: buymeacoffee.com/fexingo

  38. 12

    Why Enterprises Are Replacing Custom AI With APIs

    Episode 24 of AI Business with Fexingo: Lucas and Luna unpack the accelerating shift from custom-built AI models to third-party APIs, using live market data—Broadcom up 7.9% in five days, AMD surging 10.4%—as a signal. They trace the logic through a concrete case: how a mid-size logistics provider cut its ML budget 40% by swapping an in-house LLM for an API. The hosts explore why enterprises are hitting a 'build vs. buy' tipping point, the hidden costs of model maintenance, and what this means for startups like Artisan that are betting on proprietary AI. A focused, data-driven conversation for operators and builders. #AI #ArtificialIntelligence #EnterpriseAI #APIs #BusinessAndTechnology #MachineLearning #Broadcom #AMD #ModelCommoditization #BuildVsBuy #AIAdoption #TechStrategy #LLM #Startups #Artisan #FexingoBusiness #BusinessPodcast #AIInfrastructure Keep every episode free: buymeacoffee.com/fexingo

  39. 11

    Why AI Model Accuracy Is Plateauing Despite More Compute

    Lucas and Luna dive into a growing concern in AI circles: model accuracy improvements are slowing even as companies pour more compute into training. They discuss recent benchmarks showing GPT-5's accuracy gains over GPT-4 were smaller than GPT-4's over GPT-3.5, and how NVIDIA's latest GPU sales to hyperscalers may reflect this plateau. The hosts explore what this means for enterprise AI adoption—if bigger models yield diminishing returns, the focus shifts to data quality, fine-tuning, and inference efficiency. They also touch on SoftBank's massive 75-billion-euro French data center investment and whether that bet is premature. A candid look at where AI progress is hitting a wall and how companies are adapting. #AIAccuracyPlateau #GPTSaturn #NVIDIA #SoftBank #DataCenters #EnterpriseAI #ModelTraining #Inference #DiminishingReturns #ComputeEfficiency #DataQuality #FineTuning #Hyperscalers #TechInvesting #BusinessAndTechnology #FexingoBusiness #BusinessPodcast #AIProgress Keep every episode free: buymeacoffee.com/fexingo

  40. 10

    Why AI Models Are Becoming Commodities

    Lucas and Luna explore how the AI model market is rapidly commoditizing, with major implications for enterprise buyers and investors. Drawing on recent market moves—SoftBank's €75 billion French data center bet, Meta's reported AI pendant, and the backlash against GitHub Copilot's token billing—they argue that differentiation is shifting from model quality to distribution, data moats, and user experience. Lucas breaks down why even frontier models are becoming interchangeable, citing the rise of open-weight releases and the collapse of model training costs. Luna challenges whether this commoditization is real or just a pricing war among hyperscalers. They discuss what it means for startups building on top of models and for enterprises deciding whether to buy or build. The episode closes with a look at how companies like Apple and Google are quietly pivoting their AI strategies around ecosystem lock-in rather than model supremacy. #AICommoditization #EnterpriseAI #BusinessAndTechnology #SoftBank #Meta #GitHubCopilot #TokenBilling #DataCenters #OpenSourceAI #ModelEconomics #FexingoBusiness #BusinessPodcast #AIAdoption #Apple #Google #Hyperscalers #ModelTrainingCosts #AIInfrastructure Keep every episode free: buymeacoffee.com/fexingo

  41. 9

    Why GitHub Copilot's Token Billing Is Making Developers Angry

    GitHub Copilot just switched to token-based billing, and developers are furious. Lucas and Luna break down why the new pricing model sparked so much backlash, what it means for enterprise AI adoption, and how Microsoft is navigating the tension between monetization and developer trust. They discuss the specific numbers behind the outcry, compare Copilot's approach to competitors like Amazon CodeWhisperer and Google's Gemini Code Assist, and explore whether this signals a broader reckoning for AI tool pricing in the enterprise. Tune in for a grounded look at the economics of AI coding assistants and what the backlash tells us about the future of AI productivity tools. #GitHubCopilot #TokenBasedBilling #DeveloperBacklash #AICodingTools #Microsoft #EnterpriseAI #AIPricing #DeveloperExperience #CodeAssistants #AmazonCodeWhisperer #GoogleGemini #AIProductivity #OpenSource #DeveloperTrust #AIMonetization #BusinessAndTechnology #FexingoBusiness #BusinessPodcast Keep every episode free: buymeacoffee.com/fexingo

  42. 8

    Why Coders Are Refusing to Work Without AI

    Episode 20 of AI Business with Fexingo dives into the growing trend of developers refusing to code without AI assistance. Lucas and Luna discuss a recent TechCrunch headline about coders who feel AI tools are indispensable, and how this dependency could backfire on careers. They explore the rise of AI-assisted coding platforms like GitHub Copilot, the risk of skill atrophy, and what it means for enterprise productivity. With NVIDIA stock slipping and AMD surging on inference wins, they connect the dots between AI model shifts and the human side of development. Lucas explains why the 'AI or die' attitude among engineers might create a two-tier job market, while Luna questions whether companies are ready for a workforce that can't function without AI. The episode also touches on how startups are building tools to measure AI's impact on code quality. A candid look at the last mile of AI adoption: the people writing the code. #AI #GenerativeAI #AICoding #GitHubCopilot #DeveloperProductivity #EnterpriseAI #NVIDIA #AMD #Inference #AIAdoption #SkillAtrophy #TechWorkforce #CodingTools #AIProductivity #Business #Technology #FexingoBusiness #BusinessPodcast Keep every episode free: buymeacoffee.com/fexingo

  43. 7

    Why Enterprises Are Dumping Custom AI Models for APIs

    Episode 19 of AI Business with Fexingo dives into a quietly tectonic shift in enterprise AI: the retreat from custom model building. Lucas and Luna unpack why companies like JPMorgan and Walmart are abandoning in-house models in favor of third-party APIs, using fresh data from May 2026 — including Super Micro Computer's 30% weekly surge and Broadcom's 5% gain — to illustrate the pivot from training to inference. They explore the cost math behind renting intelligence versus owning it, how OpenAI and Anthropic are locking in enterprise contracts, and what this means for chip makers like NVIDIA and AMD. If you're building or running a business that depends on AI, this episode gives you the numbers and strategy behind the API-first world. #EnterpriseAI #APIs #CustomModels #Inference #JPMorgan #Walmart #OpenAI #Anthropic #NVIDIA #AMD #Broadcom #SuperMicroComputer #AIAdoption #CostEfficiency #BusinessAndTechnology #FexingoBusiness #BusinessPodcast #AIStrategy Keep every episode free: buymeacoffee.com/fexingo

  44. 6

    How Enterprise AI Budgets Are Getting Cut and Spending Still Grows

    Episode 18 of AI Business with Fexingo looks at the paradox hitting enterprise AI in mid-2026: companies are slashing AI budgets even as total spending climbs. Lucas and Luna dig into a new data point from Gartner showing that 47% of enterprises now have a formal AI cost-reduction program, up from 12% a year ago. They explore why this is happening — from GPU over-provisioning to failed proof-of-concept projects — and how startups like Glean are turning budget-cutting into a selling point, crossing $300M in annual recurring revenue. The hosts also connect the trend to the market moves of AMD and Super Micro Computer, both rising as buyers shift from expensive training hardware to cheaper inference infrastructure. A sharp, numbers-driven conversation for anyone wondering why the AI hype seems to be cooling even as companies spend more. #EnterpriseAI #AIBudgets #Gartner #Glean #AMD #SuperMicroComputer #AIInference #AISpending #GPUCrunch #CostReduction #AIROI #BusinessPodcast #Business #Technology #FexingoBusiness #BusinessPodcast #AIModels #AIAdoption Keep every episode free: buymeacoffee.com/fexingo

  45. 5

    Why Paris Became Silicon Valley's Biggest AI Rival

    Episode 17 of AI Business with Fexingo. Lucas and Luna explore why Paris has quietly emerged as the most important AI hub outside Silicon Valley. They break down the ecosystem's secret sauce: a deep bench of elite math talent from schools like Polytechnique and CentraleSupélec, combined with a regulatory sandbox that France has actively built. The hosts discuss how Mistral AI raised €600 million while staying headquartered in Paris, why French VCs are now writing larger checks, and what the U.S. tech giants fear about European AI sovereignty. They also touch on today's market moves: AMD surging 15% in five days on inference-chip momentum, while NVIDIA dips 2.4%. A specific, data-driven look at a shifting global AI map. #ParisAI #MistralAI #EuropeanTech #AIEcosystem #SiliconValley #TechHubs #EngineeringTalent #AIModels #Business #Technology #FexingoBusiness #BusinessPodcast #AMD #NVIDIA #Inference #Regulation #Startups #VentureCapital Keep every episode free: buymeacoffee.com/fexingo

  46. 4

    Why Google Engineer Insider Trading Polymarket Case Changes AI Regulation

    A Google engineer is charged with insider trading after allegedly making $1.2 million on Polymarket using confidential AI launch data. Lucas and Luna explore how this case exposes the weak compliance controls inside Big Tech's AI race, why Polymarket's prediction-market model creates new insider-trading risks, and what the SEC's enforcement action means for the AI industry's culture of secrecy. They ground the conversation in recent market data showing NVIDIA sliding 4.9% this week while AMD surges 10.7%, and connect the case to broader questions about how companies like Google handle material nonpublic information around AI releases. The episode also touches on why enterprise AI adoption may slow if trust in AI disclosure practices erodes. A specific, data-driven look at the intersection of AI hype, insider trading, and regulatory gaps. #Google #Polymarket #InsiderTrading #SEC #AI #ArtificialIntelligence #TechRegulation #PredictionMarkets #Compliance #GoogleIO #EnterpriseAI #Business #Technology #BigTech #RegulatoryRisk #FexingoBusiness #BusinessPodcast #AIEthics Keep every episode free: buymeacoffee.com/fexingo

  47. 3

    Why AI Startups Are Raising Billions While Enterprise Adoption Stalls

    Lucas and Luna explore the disconnect between massive AI startup funding rounds and the slow pace of real enterprise adoption. They discuss today's news that AI coding startup Cognition raised $1 billion at a $25 billion pre-money valuation, and drill into why enterprises struggle to move beyond pilot projects. The hosts examine the 'last mile' problem in AI deployment, the gap between vendor promises and operational reality, and how companies like Microsoft and Meta are navigating this tension. Specific data points include Cognition's raise, Meta's new subscription AI plans, and NVIDIA's recent stock dip. #Cognition #AIFunding #EnterpriseAI #AIAdoption #LastMileProblem #Meta #Microsoft #NVIDIA #StartupValuations #BusinessTechnology #FexingoBusiness #BusinessPodcast #AIProductivity #TechInvesting #VentureCapital #CodingAI #SubscriptionAI #EnterpriseSoftware Keep every episode free: buymeacoffee.com/fexingo

  48. 2

    The Hidden Cost of AI Search for Privacy

    On this episode of AI Business with Fexingo, Lucas and Luna explore how the shift to AI-powered search is quietly eroding user privacy. DuckDuckGo's installs are up 30% as users reject being 'force-fed' Google's AI Search, a trend that signals growing discomfort with how AI models scrape and store personal data. The hosts break down the trade-offs: better answers vs. more surveillance, and what enterprise adoption of AI means for data governance. They also discuss the UK Visa Portal data leak as a cautionary tale of what happens when AI systems mishandle sensitive information. Plus, a brief note on why keeping this podcast ad-free matters for honest conversations about tech. #AI #Privacy #GoogleAI #DuckDuckGo #DataLeak #UKVisaPortal #SearchEngines #AISearch #TechPolicy #DataGovernance #CyberSecurity #EnterpriseAI #Business #Technology #FexingoBusiness #BusinessPodcast #LucasAndLuna #AIAdoption Keep every episode free: buymeacoffee.com/fexingo

  49. 1

    Why AI Startups Are Betting on Indias Gig Economy for Robot Training

    A TechCrunch report from earlier today reveals a surprising trend: Indian gig workers are being recruited to train AI models for physical robots. Lucas and Luna dig into why this matters for enterprise AI adoption, the economics of data labeling at scale, and what it means for the future of automation. They tie it to recent moves by companies like Microsoft and Tesla in the AI training space, and explore the ethical and business implications of outsourcing robot learning to the world's largest gig workforce. #AI #Robotics #GigEconomy #India #DataLabeling #EnterpriseAI #Automation #Tesla #Microsoft #TechCrunch #RobotTraining #AIAdoption #Business #Technology #Podcast #FexingoBusiness #BusinessPodcast #AIEthics Keep every episode free: buymeacoffee.com/fexingo

  50. 0

    Why AI Productivity Is Stuck on the Last Mile Problem

    Enterprise AI adoption is booming, but most teams are stuck on the 'last mile' — integrating model outputs into real workflows. Lucas and Luna dig into a concrete example: a Fortune 500 retailer that spent millions on an LLM-powered inventory system, only to see 40% of its recommendations ignored by warehouse managers. They discuss why fine-tuning and infrastructure investment haven't solved the interface problem, how companies like ClickUp and Asana are pivoting toward 'agent-in-the-loop' design, and what the May 2026 layoff at ClickUp tells us about the gap between AI hype and operational reality. Plus: a quick look at how NVIDIA's recent dip and AMD's surge reflect shifting demand in inference hardware. This episode is grounded in specific numbers and real-world friction — not general forecasts. #AIProductivity #LastMileProblem #EnterpriseAI #ClickUp #Layoffs #FutureOfWork #NVIDIA #AMD #Inference #AgentInTheLoop #InventoryAI #WorkflowIntegration #AIAdoption #BusinessAndTechnology #FexingoBusiness #BusinessPodcast #LucasAndLuna #AIBusinessWithFexingo Keep every episode free: buymeacoffee.com/fexingo

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ABOUT THIS SHOW

Every weekday, Lucas and Luna examine how artificial intelligence is reshaping enterprise operations, from model architectures to deployment strategies. Lucas, a journalist who has covered technology for a decade, brings the latest earnings reports from Nvidia and Microsoft, funding rounds for Anthropic and Mistral, and regulatory filings from Brussels and Washington. Luna, his co-host with a background in product management, presses him on what these moves mean for a CTO evaluating a multi-cloud AI stack or a procurement officer weighing an OpenAI versus open-source solution. They dissect the actual numbers: inference costs per million tokens, GPU utilization rates at AWS, and the revenue multiples the market assigns to pure-play AI companies. Each episode grounds the hype in quarterly statements, analyst notes, and published white papers. Whether the topic is agentic workflows, retrieval-augmented generation, or the latest transformer variant, Lucas and Luna avoid hype and focus on t

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Fexingo

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How many episodes does AI Business with Fexingo: Artificial Intelligence Companies, Models, and Enterprise Adoption have?

AI Business with Fexingo: Artificial Intelligence Companies, Models, and Enterprise Adoption currently has 50 episodes available on PodParley. New episodes are automatically indexed when they're published to the podcast feed.

What is AI Business with Fexingo: Artificial Intelligence Companies, Models, and Enterprise Adoption about?

Every weekday, Lucas and Luna examine how artificial intelligence is reshaping enterprise operations, from model architectures to deployment strategies. Lucas, a journalist who has covered technology for a decade, brings the latest earnings reports from Nvidia and Microsoft, funding rounds for...

How often does AI Business with Fexingo: Artificial Intelligence Companies, Models, and Enterprise Adoption release new episodes?

AI Business with Fexingo: Artificial Intelligence Companies, Models, and Enterprise Adoption has 50 episodes. Check the episode list to see recent publication dates and frequency.

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AI Business with Fexingo: Artificial Intelligence Companies, Models, and Enterprise Adoption is created and hosted by Fexingo.
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