Concerns Rise as Google Experiences Significant Stock Drop

Alphabet, Google’s parent company, saw its stock tumble by as much as 7% on Monday. This drop was largely attributed to the exit of two significant AI researchers, leading to worries on Wall Street that the company might be lagging behind its main competitors.

Among the losses is John Jumper, a senior research scientist and Nobel Prize winner, who announced he is leaving DeepMind AI Labs for a position at Anthropic. Just days prior, another prominent figure, Noam Shazeer, who co-led Google’s Gemini AI model, departed for OpenAI.

Gil Lauria, who heads technology research at DA Davidson, expressed concerns that these high-profile departures indicate Google could be struggling to retain talent in the AI sector. “Google had made notable strides with a cutting-edge model last year, which briefly positioned it as a leader in AI. However, since then, it seems to be slipping, and these departures might signal a bigger issue,” Lauria said.

The stock price drop threatens to erase about $270 billion in market value in just one day, with the company on track for its lowest closing price in a year. Google’s decline was more pronounced than the tech-heavy Nasdaq index, with competitors like Meta and Amazon also facing losses—2% and approximately 4%, respectively.

Investor anxiety is further fueled by the major tech firms’ spending habits on AI. Google has indicated plans to allocate between $180 billion and $190 billion by 2026, focusing primarily on AI computing and data centers.

Dave Wagner from Aptus Capital Advisors noted, “The market is clearly distinguishing between those investing heavily in AI and those simply acquiring it. Such substantial spending is impacting the profits of hyperscalers, while substantial hardware orders favor memory manufacturers.”

Wagner added that the loss of “important AI research” to a direct competitor is another factor complicating Google’s position.

In a recent interview, Microsoft CEO Satya Nadella criticized leading companies, suggesting the U.S. economy should strive to avoid dependence on a limited number of AI models. He proposed making more affordable AI solutions available through Microsoft’s new “Copilot Cowork” tool.

Besides internal competition, Google and other major U.S. AI firms might also feel the heat from open-source Chinese models developed by companies like DeepSeek and z.AI. While these alternatives often match U.S. models in features, they tend to come at a significantly lower price.