What are Google's AI chips called?

Google's AI chips are referred to as tensor processing units (TPUs).

Why is Meta considering Google's AI chips?

Meta is reportedly considering Google's TPUs as a cheaper, more energy-efficient alternative to existing GPUs.

Is AMD still a leader in the AI chip race?

While facing competition, AMD is viewed as a strong contender in the AI race, with its long-term potential still significant.

Home / Business and Economy / AMD's AI Race: Long Game vs. Short Sprint

AMD's AI Race: Long Game vs. Short Sprint

3 Dec, 2025

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Summary

AI chip race is a long-term marathon, not a short sprint.
Meta may spend billions on Google's AI chips starting 2027.
AMD's stock fell amid concerns over Google's AI chip momentum.

AMD's AI Race: Long Game vs. Short Sprint

The artificial intelligence chip race is unfolding as a multi-phase marathon, emphasizing long-term strategy over short-term gains. While Nvidia has dominated headlines, recent market shifts highlight that leadership is far from secured. Shares of key players like Advanced Micro Devices (AMD) experienced pressure following reports of Meta Platforms considering significant investments in Google's AI chips, sparking concerns about AMD's market position.

These developments underscore the complexity of the AI landscape. Meta's reported discussions to utilize Google's tensor processing units (TPUs) starting in 2027 have led to anxieties that these more energy-efficient ASICs could diminish demand for AMD's versatile GPUs. This news specifically impacted AMD's stock, which had previously rallied significantly year-to-date but saw a notable pullback.

However, expert analysis suggests a broader perspective is needed. The AI race's outcome will depend on sustained innovation and market adaptation, not just immediate deals or demand fluctuations. AMD, a major semiconductor firm with a diverse product portfolio including AI accelerators, remains a significant contender in this ongoing technological evolution.