U.S. math gap with China widens in PISA

America’s widening math gap with China is emerging as a more immediate threat to long-term competitiveness than tariffs, chip subsidies or export controls.
A new analysis of the latest PISA results found that 15-year-olds in four Chinese regions participating in the test — Beijing, Shanghai, Jiangsu and Zhejiang — averaged 612 in math, compared with 463 for the U.S., a 149-point gap that the Wall Street Journal said amounts to more than seven years of learning. The spread is not only large, it is moving in the wrong direction: since 2018, the Chinese regions gained 21 points while the U.S. lost 15.
That matters economically because the contest with China is increasingly about productive capacity, engineering depth and the ability to train advanced workers at scale. Washington has poured money into semiconductors, batteries and other strategic industries, but industrial policy cannot fully compensate for a weak pipeline of scientists, engineers and high-skill technicians. If the U.S. cannot improve math and science outcomes, the return on that spending risks being capped by a shortage of domestic talent.
The top end of the distribution is especially telling. More than half of students in the Chinese regions reached the equivalent of PISA math levels 5 and 6, compared with just 8% in the U.S. In science, the Chinese regions also led with 597 points versus 502 for the U.S. That kind of concentration of elite performance matters for economies because breakthrough technologies are not built by averages; they are built by the far right tail of the skills curve.
Investors should care because the story ultimately reaches corporate margins, supply chains and valuation multiples. U.S. firms have already spent years looking overseas for engineers and other specialized workers, a pattern that can raise costs and constrain growth for companies tied to AI, chips, advanced manufacturing and defense. The data also help explain why some of the biggest beneficiaries of the U.S.-China rivalry have been companies with the strongest access to global talent pools, not just the best access to subsidies.
The implications cut both ways. For bulls, the gap may sharpen policy urgency around curriculum reform, teacher training and selective investment in STEM education, while reinforcing the case for companies that can automate labor shortages. For bears, it underlines a structural disadvantage that cannot be fixed quickly and that could persist even if U.S. industrial policy continues to support domestic manufacturing.
The broader message is that the competition with China is no longer confined to factories, ports or tariff schedules. It is being decided earlier — in classrooms, in math scores and in the number of students capable of powering the next generation of chips, software and scientific research. For investors, that makes education not a social side issue, but a long-cycle input into U.S. growth, productivity and strategic resilience.
| Entity | Gains | Losses |
|---|---|---|
| China’s top student regions | ▲Higher skill pipeline | ▼None in this comparison |
| U.S. policymakers pushing STEM reform | ▲Greater policy urgency | ▼Complacency on competitiveness |
| U.S. tech and industrial firms | ▲Potential future talent reform | ▼Short-term labor scarcity |
| Investors in China-linked talent advantage | ▲Better long-term supply of skills | ▼U.S.-only growth assumptions |