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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 Buying Their Own Power Plants
    Jun 30 2026
    As AI model training and inference demand skyrockets, major tech firms are moving beyond data center leases and cloud contracts to a more radical solution: buying their own power plants. In this episode, Lucas and Luna explore why Microsoft, Amazon, and others are signing direct power purchase agreements and even acquiring generation assets to secure cheap, reliable electricity. They discuss the economics of co-location, the role of nuclear and natural gas, and what this means for smaller AI startups that can't write billion-dollar energy checks. With data from June 2026 showing NVIDIA holding flat while AMD surges 12% in a week, the hosts connect the dots between chip performance per watt and the scramble for baseload power. A specific look at one utility-scale solar-plus-battery deal in Virginia anchors the conversation in real numbers. Can the grid keep up with AI's appetite? And will vertical integration into energy become the new moat for big tech? #AI #ArtificialIntelligence #DataCenters #Energy #PowerPlants #Microsoft #Amazon #NVIDIA #AMD #Solar #Nuclear #UtilityScale #BigTech #CloudComputing #Sustainability #Business #Technology #FexingoBusiness Keep every episode free: buymeacoffee.com/fexingo
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    8 mins
  • How AI Startups Are Using Synthetic Users for Product Testing
    Jun 30 2026
    Forget A/B testing with real humans — a growing wave of AI startups is turning to 'synthetic users' to simulate how people interact with their products. In this episode, Lucas and Luna dig into the numbers behind this trend, including how one startup used synthetic users to cut testing time by 70 percent. They also explore the tension between speed and validity: can a simulated user really predict what a real person will do? Drawing on recent market moves — like the sharp drop in Super Micro Computer and the rise in AMD — they connect the hardware story to the software layer where these synthetic platforms run. Plus, a look at why companies like Microsoft and Google are quietly investing in this space. If you're building software or betting on AI infrastructure, this episode offers a concrete look at how the next wave of product iteration is being shaped by AI personas. #SyntheticUsers #AITesting #ProductDevelopment #StartupStrategy #MachineLearning #AIStartups #SoftwareTesting #Simulation #UserResearch #AIPersonas #BusinessTechnology #EnterpriseAI #AIModels #DataCenter #ChipDemand #FexingoBusiness #BusinessPodcast #AIAdoption Keep every episode free: buymeacoffee.com/fexingo
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    7 mins
  • Why AI Startups Are Racing to Build Their Own Chips
    Jun 29 2026
    Episode 82 of AI Business with Fexingo explores the accelerating trend of AI startups designing custom chips. Lucas and Luna break down how companies like Cerebras and Groq are challenging NVIDIA's dominance, with a focus on the recent $550 billion South Korean memory investment to ease 'RAMageddon'. They discuss the economics of in-house silicon, citing NVIDIA's 3.1% dip to $193.90 and AMD's 3.1% gain to $536.10 as market signals. The hosts explain why inference costs per query are driving this shift, how custom chips reduce latency for real-time applications, and what it means for enterprise adoption. A specific case study on Cerebras's wafer-scale engine illustrates the trade-offs between flexibility and performance. This episode provides concrete insights for builders and operators navigating the AI hardware landscape, with no fluff, just numbers and real-world decisions. #CustomChips #AIHardware #NVIDIA #AMD #Cerebras #Groq #Semiconductors #Inference #RAMageddon #SouthKorea #EnterpriseAI #Business #Technology #FexingoBusiness #BusinessPodcast #AIStartups #ChipDesign #AIModels Keep every episode free: buymeacoffee.com/fexingo
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    7 mins
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