Google Parent Alphabet Stock Still Sliding After Reports of Months-Long Gemini Delay

Bloomberg’s reporting points to organizational sprawl as a root cause — separate teams within DeepMind, Cloud, Android, and Search are each building AI coding tools in parallel, resulting in duplicated work and slower decision-making. Updated training data intended to boost Gemini’s coding ability reportedly hasn’t closed the gap, even as competing labs continue pushing out stronger models.

A Google spokesperson pushed back on the characterization of the timeline in a statement to Bloomberg: “We’re shipping quickly across a wide range of models while keeping them highly cost-effective for customers. We’re currently testing 3.5 Pro, an upgraded Flash model, and other models with partners, and we’re producti...