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

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

By: Fexingo
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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 the trade-offs a decision-maker would face. They name the companies, quote the executives, and cite the benchmarks—all from public sources. The listener walks away not with a prediction, but with a clearer map of the forces driving enterprise AI adoption. Can a legacy Fortune 500 company actually integrate large language models without rebuilding its entire data architecture? Lucas and Luna speak to that tension every day. #ArtificialIntelligence #EnterpriseAI #LargeLanguageModels #Nvidia #OpenAI #Anthropic #Mistral #MicrosoftAzure #AmazonWebServices #AIModels #RAG #AgenticAI #GPUs #AIDeployment #Business #FexingoBusiness #BusinessPodcast #Technology Keep every episode free: buymeacoffee.com/fexingo© 2026 Fexingo. All rights reserved. Economics
Episodes
  • How AI Companies Are Using Micron Memory Chips

    How AI Companies Are Using Micron Memory Chips
    Jun 29 2026
    Amid a broad AI stock selloff in late June 2026, memory maker Micron has bucked the trend, with Wall Street calling it 'the next Nvidia.' In this episode, Lucas and Luna explore why high-bandwidth memory is becoming the bottleneck for AI inference and training, how Micron's HBM4E chips fit into the picture, and what the shift from compute-bound to memory-bound AI workloads means for enterprise adoption. They reference the recent five-day drop in AI stocks like Nvidia and AMD, the 18% plunge in ARM, and contrast that with Micron's relative strength. The conversation digs into the economics of inference cost per token, the role of memory bandwidth in reducing latency, and why hyperscalers are rethinking their hardware stacks. A concrete look at the memory layer that powers the AI stack. #Micron #AI #Semiconductors #Memory #HBM #Inference #Nvidia #AMD #ARM #EnterpriseAI #WallStreet #ChipBottleneck #AIHardware #Latency #DataCenters #Business #Technology #FexingoBusiness Keep every episode free: buymeacoffee.com/fexingo
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    8 mins
  • How AI Companies Are Measuring Inference Costs per Query

    How AI Companies Are Measuring Inference Costs per Query
    Jun 28 2026
    Episode 80 of AI Business with Fexingo dives into the economics of inference—the real cost of running an AI model every time it responds. Lucas and Luna break down why inference cost per query has become the key metric for AI companies, from OpenAI to startups deploying small language models. They discuss the surprising numbers: how a single GPT-4 class query can cost a fraction of a cent at scale, and why companies like NVIDIA and AMD are seeing their stock wobble as the market rethinks 'GPU demand equals revenue.' The hosts also explore how inference optimization—like quantization, speculative decoding, and model distillation—is reshaping hardware spend and cloud contracts. With concrete examples and a nod to recent market data (ARM down 18% in five days, SMCI down 13%), this episode connects the engineering trenches to the balance sheet. If you're building or funding AI, this is the metric you need to track. #InferenceCost #AIEconomics #GPU #NVIDIA #AMD #ARM #SMCI #CloudCompute #ModelOptimization #Quantization #SpeculativeDecoding #Distillation #LLM #TechBusiness #BusinessAndTechnology #FexingoBusiness #BusinessPodcast #AI Keep every episode free: buymeacoffee.com/fexingo
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    8 mins
  • How AI Companies Are Buying Their Own Data Center Power

    How AI Companies Are Buying Their Own Data Center Power
    Jun 28 2026
    Episode 79 of AI Business with Fexingo dives into the emerging trend of AI companies directly acquiring or building their own power generation assets, from natural gas plants to small modular reactors. Lucas and Luna discuss why firms like Microsoft, Amazon, and OpenAI are moving beyond PPA contracts to own energy infrastructure, driven by surging compute demands and grid constraints. They break down the economics, the risks, and what this means for the future of data center location strategy. Specific references to recent moves by major cloud providers and the role of nuclear restart projects are explored. The conversation also touches on how this shift affects utility stocks and power markets. A must-listen for anyone tracking AI infrastructure and energy policy intersections. #AICompanies #DataCenterPower #EnergyInfrastructure #SmallModularReactors #NaturalGas #CloudCompute #Microsoft #Amazon #OpenAI #NuclearEnergy #GridConstraints #PowerPurchaseAgreements #UtilityStocks #Business #Technology #FexingoBusiness #BusinessPodcast #AIInfrastructure Keep every episode free: buymeacoffee.com/fexingo
    Show More Show Less
    10 mins
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