Reference edition checked November 5, 2026 (ET). Reporting feeds update independently; reference facts retain their stated dates.
The global AI race involves research, model development, computing, investment, talent and government policy. No single indicator captures all of those dimensions. This reference begins with a comparable two-country investment subset and identifies the gaps across the ten requested jurisdictions. It does not fill missing observations with zero, combine unlike data into a national score or claim that spending alone establishes technical or military leadership.
Comparable investment baseline
The 2026 Stanford AI Index reports 2025 private AI investment of $285.9 billion in the United States and $12.4 billion in China. These observations use one indicator, reporting source and year. Stanford cautions that private-investment figures likely understate China’s total spending because of government guidance funds. Public and private financing should not be casually added if their definitions overlap.
United States: $285.9 billion
China: $12.4 billion
Linear scale from zero. Source: Stanford HAI, 2026 AI Index. Chart: The Boston Report. The text supplies the complete chart data.TBR calculations from the cited data: the difference is $273.5 billion; the U.S. observation is approximately 23.1 times China’s. These calculations describe this investment series, not a difference in model intelligence, research quality or military capability.
Ten-jurisdiction coverage register
United States and China have the verified private-investment observations above. Comparable observations for the European Union, United Kingdom, Japan, South Korea, India, United Arab Emirates, Saudi Arabia and Canada have not been extracted and verified for this edition. Their data are missing here, not zero. No ordered country ranking is provided.
What a comparable national series requires
Research output needs a publication definition, field classification, counting method and date. Patents can be counted by applications, grants or families, with different results. Researchers can be measured by workplace, residence, education or affiliation. Each of those choices should be disclosed before a country chart is presented.
Computing indicators need equal care. A data-center count is not installed accelerator capacity, electricity use or accessible training compute. Announced infrastructure spending is not operating capacity. Advanced-chip access depends on the hardware, the customers and applicable trade rules. Military AI spending is especially difficult to isolate from broader research and procurement budgets, so it is not estimated here.
Policy comparison without a composite score
The OECD.AI Policy Navigator provides public-policy initiatives organized by jurisdiction and identifies submission and update information. Use it to find the underlying national strategy or legal instrument, then check whether it is proposed, adopted or in force. The European Union is an institutional aggregate, not one country: a regional total must use a consistent membership definition and must not be added again to member-state totals.
The IEA’s regional analysis explains how data-center energy demand is distributed and how scenarios depend on efficiency, adoption and infrastructure constraints. Those energy observations should remain separate from investment and research statistics. The next verified expansion requires common-year source tables for the eight missing jurisdictions, not extrapolation from the two observations already shown.
Expansion standard
Each added country observation must retain its source table, reference year, unit and definition. Where comparable data are unavailable, the gap should stay visible. Country totals and regional aggregates require a stated membership and counting method before they can share a chart. A later edition can add verified series one indicator at a time without claiming that every dimension of national AI capability has been measured.
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- Taiwan Plans $4 Billion Texas Park for AI Chip Suppliers 2026-10-17
- Germany and Nvidia Set to Unveil Industrial AI Pact in Berlin 2026-10-18