The launch date for Google's highly anticipated AI model, Gemini 3.5 Pro, has been extended due to various internal setbacks. Google CEO Sundar Pichai had announced at the developer conference in May that the model would be available in June.

Key Reasons for the Delay

• Coding Problems: Google's engineering teams identified significant issues with coding performance towards the end of June. This necessitated resetting and re-updating core training data.
• Fragmented Corporate Structure: Google's massive and multi-layered organizational structure leads to a lack of coordination among different departments (Google Cloud, DeepMind, Android). Each team is trying to develop its own AI programming tools simultaneously.
• Resource Competition: These parallel internal development efforts create an aggressive competitive environment for limited hardware resources. This slows down project progress and causes delays.

These delays indicate that Google is going through a challenging period in the intense AI competition. A new timeline for the release of Gemini 3.5 Pro has not yet been announced.