Poor employee morale is causing delays in Google DeepMind's AI model releases, specifically its most powerful Gemini 3.5 Pro model. This comes as Google's cash flow recently turned negative, raising investor and competitor concerns about its position in the AI race. Competing AI executives have publicly questioned Google's recent smaller model releases and its timeline for more powerful innovations. The company's significant AI investments are largely responsible for its negative free cash flow, despite strong cloud revenue growth.Google is also experiencing a talent drain, with key researchers departing for rival AI labs. Some departures are linked to Google's April deal allowing the military to use its technology, which has caused significant internal moral objection and burnout. Employees express feeling "behind" competitors in AI capabilities, citing a lack of prioritization for agentic coding. Google, however, disputes claims of widespread morale issues impacting model development or a high attrition rate related to the Pentagon contract. They report lower attrition for AI talent this year and high acceptance rates for AI job offers.Despite these challenges, Google sees potential in its new, more efficient models, which offer cost-effective solutions for enterprises facing "AI sticker shock." The company remains optimistic about its roadmap and demand for its models. The AI race is characterized by frequent shifts in leadership, and Google, despite current setbacks, possesses the resources to recover. However, the company cannot afford to lose its critical talent or its investors' confidence.