『AI Business with Fexingo: Artificial Intelligence Companies, Models, and Enterprise Adoption』のカバーアート

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

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

著者： 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. 経済学
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  • Apple Siri App Ties the Knot Between AI Personal and Enterprise

    Apple Siri App Ties the Knot Between AI Personal and Enterprise
    2026/06/08
    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
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    7 分
  • AI Cloud Costs Drive Shift to Leasing

    AI Cloud Costs Drive Shift to Leasing
    2026/06/08
    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
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    9 分
  • Why AI Stocks Are Splitting Into Hardware and Software

    Why AI Stocks Are Splitting Into Hardware and Software
    2026/06/07
    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
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    10 分
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