Meta Platforms is evaluating the use of Google-designed tensor processing units (TPUs) for its data center operations, a move poised to reshape competition in AI hardware. This consideration includes potential rental of TPUs through Google Cloud starting as soon as 2026 and possible deployment in Meta’s infrastructure from 2027. Following this news, Nvidia and AMD shares experienced a notable decline, reflecting market fears of increased competition and shifting supply dynamics.

Stock Market Reaction and Sector Impact

The announcement sent Nvidia (NASDAQ: NVDA) shares down 6.8% during U.S. trading, while Advanced Micro Devices (NASDAQ: AMD) suffered a sharper decline, with stock prices plunging up to 9%. Investors closely watched these declines as signs of mounting pressure on the chipmakers’ dominance in the AI hardware sector. AMD, which has positioned itself as a viable second source to Nvidia and aligned deeply with OpenAI’s AI ambitions, faces a potential setback in its growth story.

Bernstein analyst Stacy Rasgon described the news as “incrementally negative” for AMD, noting how the company’s strategy depends on being the preferred alternative to Nvidia. The possibility that Meta might shift away from Nvidia’s ecosystem threatens AMD’s ability to leverage its relationship with OpenAI and grow its AI hardware footprint.

Google’s Expanding Role in AI Hardware

Meanwhile, Alphabet (NASDAQ: GOOGL) shares climbed 2.7%, bringing the company closer to a $4 trillion market capitalization. Google first launched its TPU technology internally in 2018, designed to manage the intensive computing demands of AI workloads. These ASIC chips have undergone several generational upgrades tailored specifically for large-scale AI applications, delivering efficiency advantages over traditional GPUs.

Meta’s exploration of Google’s TPUs would mark a rare endorsement by a major AI platform of a third-party chip supplier outside Nvidia. Notably, the option to rent TPUs through Google Cloud as early as 2026 would offer Meta scalable, flexible AI compute resources without heavy upfront investment. This strategy could accelerate diversification in AI chip suppliers and undermine Nvidia’s prolonged dominance.

Broadcom (NASDAQ: AVGO), which manufactures ASICs for Google, also saw its shares surge 11.1%. Rasgon highlighted Broadcom as a “clear winner” from this dynamic, given its dual role as Google’s ASIC partner and collaborator with Meta on Meta’s own ASIC projects, positioning it well amidst AI infrastructure expansion.

Decline: Market Outlook

The sharp decline in Nvidia and AMD shares reflects heightened uncertainty in the evolving AI chip market, now challenged by Google’s TPU technology emerging as a credible alternative for top AI platforms like Meta. With Meta considering TPU deployment in 2027 and rental solutions available potentially next year, the competitive landscape for AI compute hardware is poised for significant shifts.

Investors will monitor closely how these developments influence Nvidia’s market share and AMD’s ambitions to solidify its role as a secondary AI chip supplier. Conversely, Alphabet’s ascending valuation signals increased confidence in its AI chip innovation and cloud strategy. The decline in Nvidia and AMD shares amid this unfolding narrative underscores the semiconductor sector’s volatility as AI infrastructure evolves.