Google's Gemini delay: Coding stumbles, clashing teams and frustrated engineers (www.latimes.com)

Google is facing significant delays in the rollout of its Gemini 3.5 Pro AI model, attributed to coding challenges and internal team conflicts. As the company works to enhance its coding capabilities, it risks losing market share to rivals like Anthropic and OpenAI, which are releasing advanced models that outperform current Google offerings. Engineers and researchers within Google have expressed frustration over bureaucratic hurdles and resource competition, which complicate cohesive product development. Despite announcing that 75% of the code at the company is now generated by AI, internal strife has hindered progress, leading to concerns about competition for computing power and a fragmented strategy across departments. The significance of this delay extends beyond internal dynamics; it reflects the intense competition in the AI/ML landscape where innovation speed is crucial. Google's strengths in combining different input types and leveraging search data remain notable, yet without a timely release of Gemini 3.5 Pro, the company risks falling behind in a field where rivals are capitalizing on their advancements. As engineers await the model's launch, mixed feedback from users of the current Gemini 3.5 Flash indicates a need for improvements to better compete with offerings from other tech companies, further stressing the urgency for Google to streamline its AI efforts.