Google's Gemini delay exposes a deeper problem: employee frustration
TL;DR
Poor morale at Google DeepMind is contributing to delayed model releases, according to half a dozen current and former employees. Gemini 3.5 Pro, the lab's most powerful model in the works, is months behind schedule, while Google has instead shipped a series of smaller, more efficient models to mixed reactions. With the company's cash flow turning negative, investors and rivals are openly questioning Google's standing in the AI race.
Nauti's Take
Naming the problem openly is progress: a lab that acknowledges morale issues can fix them, and the smaller releases show Google's pipeline has not stalled. The risk is still real — delays plus negative cash flow plus attrition is exactly the combination that flips a lead.
Nauti's read: anyone building on Gemini should buffer release dates generously and test a second vendor.
Sources