Demis Steps Down, Apple’s Memory Problem, Microsoft’s Clever Trick
Big Technology Podcast
08/08/26
•55m
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M.G. Siegler from Spyglass is back for our Montly discussion of the latest tech news. We cover: 1) Demis Hassabis steps down as DeepMind CEO (Alex solo) 2) Apple's memory crunch 3) Should Apple have known better? 4) Will iPhone prices go up? 5) How much can Apple raise prices without losing sales 6) Does that eventually hurt its services business? 7) Microsoft is spending less on AI... but there's an interesting wrinkle 8) How much cloud growth is driven by OpenAI and Anthropic? 9) The divisions within Google's AI division 10) Can Google get it together?
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Previous Episode
David Cahn is a partner at Sequoia Capital. Cahn joins Big Technology Podcast to discuss how much revenue the AI industry must generate to pay back its massive infrastructure investments and why the pursuit of AGI is driving companies to keep spending. Tune in to hear his assessment of the strategies guiding OpenAI, Anthropic, Google, Meta, Microsoft, Amazon, Apple, Nvidia, and SpaceX. We also cover the risk of an investment-timeline mismatch, the value of AI talent and proprietary chips, and whether building artificial intelligence could change religion and spirituality. Hit play for a cool-headed examination of the enormous financial and strategic bets shaping the future of AI.
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Next Episode
Here's How The AI Bubble Bursts — With Paul Kedrosky
August 12
•67m
Paul Kedrosky is an investor, analyst, and writer who studies technology, markets, and the forces shaping the global economy. Kedrosky joins Big Technology Podcast to discuss why he believes the historic surge in AI infrastructure spending has created a bubble that could soon unravel. Tune in to hear why rapidly falling token prices, constant hardware upgrades, and increasingly debt-funded data centers may make it extraordinarily difficult for investors to earn adequate returns. We also cover whether OpenAI and Anthropic can move up the software stack, what might cause the investment cycle to collapse, China’s competing approach, and what AI could look like after the bubble bursts. Hit play for a clear-eyed debate about whether transformative technology can still produce a disastrous investment cycle.
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