The U.S. Treasury Secretary Bessent has publicly declared that the United States is on the verge of controlling 80% of global computational power, positioning computational dominance as a core pillar of America’s economic strategy. This high-level policy statement provides strong institutional backing for continued investment in U.S. AI infrastructure.

Recently, Bessent appeared on the Mike Rowe podcast, stating that the U.S. currently holds approximately 50% to 60% of global compute capacity and expects this share to rise swiftly to 80%. (We probably used to have 50 or 60% of the compute power in the world. We'll probably soon be at 80%.) He characterized this race for computational supremacy as a strategic contest "we cannot afford to lose," warning that if adversaries achieve leadership, the resulting strategic leverage would be "unacceptable." He also noted that the U.S. currently leads its competitors in AI by about one year.

This statement quickly drew market attention. Analysts point out that a declaration at the Treasury Secretary level effectively provides a "national-level endorsement" for long-term capital expenditure on U.S. AI infrastructure—directly benefiting demand outlooks for chipmakers like NVIDIA and capital expenditure cycles for hyperscale cloud providers.

Bessent's Core Argument: Compute Power Equals National Power

In the interview, Bessent explicitly integrated AI compute into the strategic framework of national economic strength. He positioned artificial intelligence, semiconductors, and quantum computing as the three foundational pillars underpinning U.S. economic power and national security.

Speaking from the perspective of an economic historian, Bessent defended the societal impact of AI technology, citing historical precedents such as automobiles and Google Search, emphasizing that technological innovation may cause short-term disruption but ultimately generates more opportunities over time. He specifically highlighted how AI empowers small businesses to compete on equal footing with large enterprises, noting that no net job loss attributable to AI has been observed to date.

On the policy front, Bessent mentioned that the government is actively driving deep collaboration between federal agencies and the private sector in AI cybersecurity, and supporting the implementation of related executive orders. David Sacks, White House AI coordinator, previously expressed a similar stance, openly advocating that the U.S. must maintain its lead in compute and model capabilities at all costs.

Signals and Risks Investors Should Monitor

For market participants, the policy signal is clear: the U.S. government will continue to support domestic AI infrastructure development, ensuring long-term policy-backed support for associated capital expenditure cycles.

However, analysts caution against complacency. There is currently no publicly recognized authoritative metric for measuring "compute share," and the figure of 80% represents a predictive assessment by policymakers rather than audited empirical data. According to analysis from Podcast Alpha, investors should focus on quantifiable physical indicators—such as actual capacity expansion and power infrastructure development—rather than relying solely on policy rhetoric around compute share when making investment decisions.

Independent third-party verification data, along with concrete figures from upcoming semiconductor industry reports and cloud infrastructure assessments over the next several quarters, will serve as critical benchmarks for determining whether this policy expectation can be fulfilled.

Originally from WeChat Official Account: Wall Street Seen, Author: Zhao Ying

Source: Wall Street Seen