Big Tech and AI
How Big Tech is approaching AI
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When paradigms change, previous winners have the hardest time adjusting; that is why AI might be a challenge for Apple and Amazon
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Positioning AI contenders — and losers — by their tech philosophy and business potential.
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Breaking down the Big Tech AI landscape through the lens of integration and modularization
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A single AI can never make everyone happy, which is fundamentally threatening to the Aggregator business model; the solution is personalized AI
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Google could do more than just win the chatbot war: it is the one company that could make a universal assistant. The question is if the company is willing to risk it all.
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The SpaceX IPO and Data Centers in Space
There isn’t a financial model that justifies the SpaceX IPO, but data centers in space are plausible, and that might be enough.
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Google I/O, World Models, I/O Spaghetti
Google I/O put AI everywhere, for better and for worse. Meanwhile, is DeepMind aligned with Google’s business objectives?
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The Deployment Company, Back to the 70s, Apple and Intel
OpenAI is forming a new company to deploy AI, and the other labs aren’t far behind, reinforcing the thesis that AI’s impact will require top-down implementation. Then, Apple has economic reasons to work with Intel.
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Microsoft Earnings, Apple Earnings
Microsoft unveils its new agentic business model, and Apple confronts shortages in memory and chips even as the Mac benefits from AI.
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An Interview with OpenAI CEO Sam Altman and AWS CEO Matt Garman About Bedrock Managed Agents
An interview with OpenAI CEO Sam Altman and AWS CEO Matt Garman about their new partnership, plus my thoughts on OpenAI and Microsoft’s new deal.
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An Interview with Google Cloud CEO Thomas Kurian About the Agentic Moment
An interview with Google Cloud CEO Thomas Kurian about Google’s cloud priorities, enterprise agent platform, and Google’s integration advantage.