Ep 16 – Google’s Dream Team Just Quit, and Nobody Can Find the AI Bear Case

Four of Google’s top AI researchers walked out the same day, on top of others who left earlier this summer, including Jeff Dean after 25 years at the company. Anthony Batt and Harry DeMott open by asking what that exodus actually signals to a business owner or investor: not that Google is finished, but that its best talent would rather build AI somewhere else. From there they work through what they call the theater of the AI industry: Anthropic and OpenAI’s steady drumbeat of existential warnings, which they read as marketing and regulatory positioning as much as genuine caution, Mark Zuckerberg’s new manifesto on invention over automation, and Elon Musk’s comparatively quiet rollout of Grok 4.6 and Grokbot, priced at half of what OpenAI and Anthropic charge at the frontier.

The second half of the episode turns to what they call the receipts: the actual demand data behind the AI buildout. They walk through Gavin Baker’s search for a single bear-case data point that came up empty, hyperscaler cash flow up 28 to 32% year over year, GPU rental rates roughly doubling in seven months, and NVIDIA’s $500 billion consortium to turn compute into a tradable asset. They also get into Michael Burry’s depreciation argument against the AI trade, why NVIDIA effectively controls its own depreciation schedule, and Kieran Goodwin’s “nobody knows” thesis on where this all lands. They close on a practical note for anyone running a business right now: hardware prices are climbing, and the real bottleneck isn’t chips, it’s finding people who already know how to use AI well.