Google's Gemini 3.5 Pro delayed months, coding lags expectations

Google's flagship AI model, Gemini 3.5 Pro, is running months behind its original schedule after falling short of the company's internal expectations for coding capabilities. The delay represents a visible slip in Google's AI development timeline and raises questions about the model's readiness as the company competes with other generative AI providers. The article reports that Google's stock (GOOGL) fell 5% on the news. However, despite the stock decline, retail traders appear untroubled by the delay, suggesting limited concern among smaller investors about the long-term impact on Google's AI competitiveness or business trajectory. The article does not disclose a revised launch date or the specific scope of coding performance shortfalls that triggered the schedule slip.

Google's Gemini 3.5 Pro delay represents a visible setback in the company's AI roadmap at a moment when generative AI remains a focal point of investor and consumer attention. The model's failure to meet internal coding benchmarks suggests that Google's engineering teams face real technical hurdles in matching or exceeding the performance of competitive models. While the stock declined 5% on the news, the article indicates that retail market participants have not interpreted the slip as a material risk to the company's broader AI strategy, suggesting confidence in either the eventual delivery or Google's capacity to address the gap.

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