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Google's Gemini 3.5 Pro delay signals weakness in AI coding race

DIGITIMES Asia13h ago
Google's Gemini 3.5 Pro delay signals weakness in AI coding race

Key takeaway

Google is facing a months-long delay in releasing Gemini 3.5 Pro, a move that is hardening concerns among investors and Google researchers that the company is falling behind Anthropic and OpenAI in AI coding capability—an area increasingly seen as the defining frontier of advanced AI competition.

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3 Key Points

  • What happened

    Google has delayed the release of Gemini 3.5 Pro for months, according to the body. This slowdown is feeding investor and internal researcher concern that Google is falling behind Anthropic and OpenAI in frontier AI — specifically in the ability to write software code.

  • Why it matters

    The coding capability has become the central competitive arena in advanced AI. Google's delay suggests it may not be keeping pace with rivals on one of the most commercially important and strategically watched dimensions of AI performance.

  • What to watch

    The body does not provide a specific release date, availability details, or concrete next steps for Gemini 3.5 Pro's launch.

In Depth

Google has kept Gemini 3.5 Pro unreleased for several months, a delay that is shaping perceptions of the company's competitive standing in artificial intelligence. According to the article, this setback is crystallizing a view among both external investors and Google's own research staff that the company is slipping behind Anthropic and OpenAI. The specific arena driving this concern is AI's ability to write software code—an area that has come to define the frontier of advanced AI competition. The body indicates that the delay is more than a scheduling miss; it reflects a broader question about whether Google can keep pace with rivals on what has become the most strategically important and commercially consequential measure of AI capability.

Context & Analysis

The article frames Google's delay of Gemini 3.5 Pro as a symptom of a deeper competitive problem. According to the body, the contest over AI software-writing ability has emerged as the central measure of frontier AI leadership. Google's extended timeline to ship this model suggests internal struggles or resource constraints at a moment when speed and capability in coding tasks matter most for market positioning. The fact that both investors and Google's own researchers are expressing this concern suggests the worry is not merely external speculation but a recognition within the company itself that it may be losing ground in a race its competitors appear to be winning.

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