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The structural incompatibility between frontier AI research timelines and cloud revenue cycles is surfacing at Google.
The company's cloud business is in a boom, commercial returns are now an explicit priority, and the researchers and engineers who built Google's AI operation are leaving.
What the talent departure signals is a shift in where the company is placing its bets inside the AI stack.
The revenue clock versus the research clock Frontier model research runs on multi-year cycles and produces work whose commercial payoff is often unclear at the outset.
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