Rumors of delay in release of Google's Gemini model raise concerns, stock price dives more than 3% intraday
Financial News Agency, July 17th: During US stock trading on Thursday, Alphabet (Google’s parent company) stock price suddenly plunged by more than 3%. Previous media reports stated that Google was months behind schedule in launching its most powerful flagship artificial intelligence model, Gemini 3.5 Pro, as technical performance fell short of targets, triggering market concerns about its AI competitiveness. According to people familiar with the matter, the delay of Gemini 3.5 Pro is mainly due to Google’s desire to invest more time in improving the model’s capabilities, especially in terms of code programming capabilities.
Financial Associated Press News July 17 During U.S. stock market trading on Thursday, Alphabet (Google’s parent company) stock price suddenly plunged more than 3%. Previous media reports claimed that Google is launching its most powerful flagship Model Gemini 3.5 Pro is already several months behind schedule as its technical performance fell short of targets, raising concerns about its AI competitiveness. According to people familiar with the matter, the delay of Gemini 3.5 Pro is mainly due to Google’s desire to invest more time in improving the model’s capabilities, especially in terms of code programming capabilities. It is reported that Gemini 3.5 Pro was originally planned to be released in June this year, and Alphabet CEO Sundar Pichai revealed relevant plans at Google’s annual I/O developer conference in May. According to reports, this progress is less than expected and has caused Google engineers, Researchers and executives are frustrated, and many worry that Google could be at risk of eroding its market position as rivals Anthropic and OpenAI roll out models that outperform Gemini. At the same time, new models recently released by OpenAI and Meta Platforms have surpassed Google's current version of the model in terms of AI code generation capabilities. At the end of last month, Google updated the data used to train Gemini to improve the performance of the model in the field of programming, but it was reported that the effect after the update did not meet expectations. According to reports, Google’s large internal organizational structure may also be the reason for the delay in model release. As Google needs to coordinate multiple levels of stakeholders while also promoting the integration of AI technology into its vast product system, including search, maps, YouTube and other businesses, the complex decision-making process may slow down product releases. Analysts say that for Alphabet, AI has become important for future growth In response to related reports, a Google spokesperson said that the company is rapidly launching AI models covering multiple fields while ensuring that these models are cost-effective for customers. The spokesperson added that Google is currently testing Gemini 3.5 Pro, upgraded Flash models, and other models with partners, and is actively participating in the U.S. government’s work on model testing and the broader AI regulatory framework. In addition, Google has been in constant communication with the US government. As regulatory agencies increasingly focus on the capabilities of AI companies' most advanced models, the U.S. government is discussing issues such as model performance evaluation and industry safety standards with AI companies such as Google. (