Episode 84 of ChatGPT and Beyond with Fexingo explores the massive shift in AI hardware spending from training to inference. Lucas and Luna break down why AMD surged 11.8% in the last five days while Super Micro Computer dropped 9.6%, and what that tells us about the real bottleneck in AI right now. They dig into new data showing that inference workloads now consume more than half of all AI compute, and why that's changing everything from chip design to cloud pricing. Plus, a look at how companies like Snowflake and ServiceNow are riding the inference wave. No fluff, just clear analysis on one concrete market shift.

#AIHardware #Inference #Training #AMD #NVDA #SMCI #AVGO #SNOW #NOW #CloudComputing #ChipDesign #AISpending #Technology #FexingoBusiness #BusinessPodcast #TechTrends #ArtificialIntelligence #Semiconductors

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Lucas and Luna examine a surprising trend in mid-2026: while AI chip stocks like AMD surge and NVIDIA holds steady, software companies like Snowflake and ServiceNow are outperforming hardware plays. They break down why inference costs are crashing faster than expected, how enterprise AI adoption is shifting spend from training to inference, and what the 12.6% rally in Snowflake tells us about the next phase of AI monetization. Plus, they discuss the launch of Claude Sonnet 5 and what it means for AI agent economics. A must-listen for investors and tech strategists trying to understand where the real value in AI is moving.

#AI #ArtificialIntelligence #InferenceCosts #AIHardware #AIStocks #NVIDIA #AMD #Snowflake #ClaudeSonnet5 #EnterpriseAI #GenerativeAI #TechInvesting #Podcast #FexingoBusiness #BusinessPodcast #Technology #AIAdoption #ModelMarketplace

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Lucas and Luna unpack the explosive trend of 'vibe coding' — where non-engineers use natural language to build software on AI platforms. They explore how Base44 just launched its own model for defensibility, and what Chamath Palihapitiya's $135M Series A for an AI coding startup says about the market. They also discuss why enterprise AI adoption is stalling while coding tools surge, and what it means for the future of software development. Plus, a quick look at why Super Micro Computer dropped 15% this week amid shifting AI hardware spending.

#VibeCoding #Base44 #ChamathPalihapitiya #AICoding #LargeLanguageModels #GenerativeAI #StartupDefensibility #AISeriesA #EnterpriseAIAdoption #AIHardwareSpending #SuperMicro #SMCI #NVIDIA #AMD #Technology #FexingoBusiness #BusinessPodcast #AIStartup

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In this episode, Lucas and Luna dive into the latest data showing AI model inference costs dropping over 40% in the first half of 2026, with some small models now running for pennies per million tokens. They examine the implications for startups, enterprise adoption, and the broader shift from training to inference. Using real market data — including Super Micro Computer's 15.5% drop and Snowflake's 9.2% gain — they connect the cost crash to hardware spending changes and the rise of model marketplaces. The conversation also touches on Anthropic's deal with California to offer Claude at half price, signaling how government adoption could accelerate. A must-listen for anyone tracking AI's economic inflection point.

#AIInference #ModelCosts #EnterpriseAI #AICrash #GenerativeAI #LLMs #AIEconomics #CloudComputing #NVIDIA #Snowflake #SuperMicro #Anthropic #AIMarketplaces #AISpending #Technology #BusinessPodcast #FexingoBusiness #ChatGPTandBeyond

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It's mid-2026, and the cost of running AI models has dropped by another 40 percent this year alone. But Lucas and Luna dig into a counterintuitive trend: while inference costs plummet, enterprise budgets are actually shrinking because companies underestimated the operational complexity. They examine fresh data on NVIDIA's stock slide, the ARM sell-off, and why Salesforce and ServiceNow are outperforming even as the industry convulses. Plus, a look at how startups are quietly building a new layer of 'model middleware' to help companies actually use these cheap models.

#AIInference #ModelCosts #NVIDIA #ARM #Salesforce #ServiceNow #EnterpriseAI #GenerativeAI #LLMOps #AIMiddleware #TechStocks #IGV #SNOW #ADBE #Technology #FexingoBusiness #BusinessPodcast #AIAdoption

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Episode 79 of ChatGPT and Beyond explores how AI model marketplaces are evolving into full-fledged operating systems. Lucas and Luna examine the shift from standalone AI models to integrated platforms that manage data, workflows, and identity, using real examples like Hugging Face, OpenAI's GPT Store, and Google's Vertex AI. They discuss how this transformation affects developers, enterprises, and the broader tech landscape, with insights from recent market data showing the divergence between AI infrastructure and software stocks. Listeners learn why model marketplaces are becoming the new OS wars of the 2020s.

#AIModelMarketplaces #OperatingSystems #HuggingFace #OpenAI #VertexAI #AIInfrastructure #EnterpriseAI #LargeLanguageModels #GenerativeAI #AIPlatforms #Technology #FexingoBusiness #BusinessPodcast #AIAdoption #DeveloperTools #AIEcosystem #LucasAndLuna #AIModels

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Lucas and Luna dig into the mid-2026 slowdown in enterprise AI adoption. With major software stocks like Oracle and ServiceNow diverging sharply, and AI hardware spending shifting from training to inference, they explore why companies are hitting a practical ceiling. Lucas brings fresh data on inference cost crashes and the surprising resilience of AI engineering jobs. Luna challenges the hype with real-world deployment bottlenecks. A grounded look at where AI meets business reality.

#EnterpriseAI #AIAdoption #InferenceCosts #AIEngineering #SoftwareStocks #Oracle #ServiceNow #Snowflake #AIHardware #TrainingVsInference #Mid2026 #FexingoBusiness #BusinessPodcast #Technology #AIBottlenecks #DigitalTransformation #AIROI #GenerativeAI

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Lucas and Luna explore how AI model marketplaces, led by platforms like Hugging Face and emerging enterprise players, are evolving into full-fledged operating systems for the AI era. They discuss the shift from simple model downloads to runtime environments, API orchestration, and data management, and how this trend is reshaping the competitive landscape for cloud giants and startups alike. Drawing on recent market data and headlines, the conversation examines why companies like Microsoft and Amazon are investing heavily in these ecosystems and what it means for developers and businesses in 2026.

#AI #ModelMarketplaces #OperatingSystems #HuggingFace #Microsoft #Amazon #OpenAI #Anthropic #Mythos #NVIDIA #AMD #CloudComputing #GenerativeAI #LLM #Tech #FexingoBusiness #BusinessPodcast #Technology

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Lucas and Luna examine how AI model marketplaces are evolving from simple app stores into full-fledged operating systems. They break down why companies like OpenAI and Anthropic are shifting from selling models to hosting entire ecosystems, and what that means for developers, enterprise buyers, and investors. With NVIDIA trading at $192 and AMD at $521, they discuss how hardware spending is pivoting from training to inference, and why the battle for the AI platform layer may redefine software economics. A specific case: how Anthropic's Mythos release to 100 US companies signals a new era of government-backed AI OS adoption.

#AI #ModelMarketplaces #OperatingSystems #OpenAI #Anthropic #Mythos #NVIDIA #AMD #Inference #EnterpriseAI #PlatformShift #DeveloperEcosystem #TechBusiness #Technology #FexingoBusiness #BusinessPodcast #GenerativeAI #LargeLanguageModels

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Lucas and Luna unpack a major inflection point in AI infrastructure: the shift from training-focused hardware spending to inference. They examine why NVIDIA's 7.7 percent weekly drop amid a broader AI hardware selloff may signal market recognition that the training buildout is peaking, while inference workloads — and the chips optimized for them — become the next growth frontier. The hosts walk through the economics: training a single large model can cost over $100 million, but inference — actually running that model millions of times for users — is where the recurring revenue lives. They cite Microsoft's 1.5 percent resilience this week as a sign that software platforms monetizing inference are outperforming pure hardware plays. The episode also explores how startups like Groq, d-Matrix, and Cerebras are challenging NVIDIA with inference-specialized chips, and why the hyperscalers (Amazon, Google, Microsoft) are designing their own inference silicon. A concrete look at why the AI chip narrative is shifting in mid-2026.

#AI #Inference #NVIDIA #AMD #Microsoft #AIHardware #TrainingVsInference #Groq #Cerebras #DMaxtrix #Hyperscalers #CustomSilicon #Semiconductors #Technology #AIInfrastructure #FexingoBusiness #BusinessPodcast #GenAI

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