Google TPUs may benefit from Nvidia leadership crisis, says Bloomberg Intelligence

Nvidia's dependence on a single leader has become a potential weakness amid uncertainty surrounding its CEO, turning that into a competitive opportunity for its rivals. Alphabet and AMD appear to be the most obvious winners, at least in terms of market sentiment. If there are any concrete signs that customers are actually reallocating spending, rather than merely discussing it, that would have implications for the AI hardware supply chain, particularly for Asian suppliers closely linked to Nvidia's production volumes. A push toward diversification also strengthens the argument for Google Cloud's growth valuation. For now, however, market movements are driven by news flow, and a decisive resolution of the leadership situation or strong results from Nvidia on November 17 could swiftly reverse the relative performance.

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The turmoil at Nvidia's helm presents Google with a rare chance to promote its more affordable AI chips, though the stickiness of CUDA means any redistribution of spending would take years rather than days.

Summary:

• Bloomberg Intelligence indicates Google's TPUs could increase their share if Nvidia's leadership challenges push clients toward cheaper chip options as part of a diversification strategy
• A broader deployment of Google's 8tx and 8i Max chips would broaden its presence in both AI training and inference
• Major cloud providers and advanced AI labs might rely more on non-Nvidia chips as a result
• TPU systems made a notable contribution to Google Cloud during the third quarter, and TPU sales are projected to exceed $50 billion by 2027
• This analysis follows a WSJ report that Nvidia's board is preparing to remove CEO Jensen Huang, which caused Nvidia shares to drop more than 10% in after-hours trading

Google's tensor processing units could capture additional market share if the instability surrounding Nvidia's leadership prompts AI clients to diversify their spending across multiple chip suppliers, according to Bloomberg Intelligence. The research division stated that a more extensive launch of Google's expanded TPU range could lead hyperscalers and frontier AI labs to depend more on chips from other vendors. It projects TPU sales will climb to over $50 billion by 2027.

The report arrives as Nvidia faces the most significant leadership instability in its history. The Wall Street Journal reported on Wednesday that the company's board is preparing to remove chief executive Jensen Huang. That came after a New York Times report about a relationship with an executive who reports to him, in addition to an ongoing board investigation into his connections with a businesswoman identified by US officials as a Chinese intelligence asset. Nvidia shares declined more than 10% in extended trading, while rival chipmaker AMD saw gains.

Bloomberg Intelligence's case centers on cost and timing. TPUs are generally less expensive than Nvidia's graphics processors, and clients concerned about supply relationships or the consistency of Nvidia's product roadmap may view this as an opportunity to broaden their supplier base. A wider deployment of Google's newer chips, which the research firm identified as the 8tx and 8i Max, would expand Google's capabilities in both training, where AI models are built, and inference, where they are deployed for users.

The financial implications for Alphabet are substantial. TPU systems were already a significant factor in Google Cloud sales during the third quarter, the research arm noted, and faster adoption would drive further growth in that unit.

The argument has its limitations. Nvidia's dominance stems from more than just its CEO. Its CUDA software platform, familiar to most AI developers, creates high switching costs. Large AI purchasers also plan their chip acquisitions years in advance, so any shift in spending is likely to happen gradually rather than abruptly. Moreover, leadership uncertainty does not immediately alter Nvidia's product lineup.

The next key milestone is imminent. Nvidia is scheduled to release third-quarter results on November 17, and any remarks about customer demand, the board's review, or succession plans will reveal whether the uncertainty is impacting orders. For Google, the challenge lies in converting interest in TPUs into concrete commitments while its largest competitor is preoccupied.