The AI Race
Country and company scorecards on the metrics that define the AI race: model quality, model velocity, training compute, investment, chips, patents, talent, and data-center power.
| Country | Private $ | Models | Talent | Patents | DC capacity | DC power |
|---|
| Lab | Country | Flagship model | Training FLOPs | Log10(FLOPs) |
|---|
| # | Model | Lab | Country | Intelligence index |
|---|
| Metric | Series | Provider |
|---|---|---|
| Private $ | Cumulative private AI investment (2013-2024) | Stanford HAI: AI Index Report 2025 |
| Models | Notable Models database (model counts + training compute) | Epoch AI |
| Model quality | Frontier-model intelligence index (composite reasoning / coding / math evals, max reasoning settings; August 2026) | Artificial Analysis |
| DC power | National electricity consumption by data centers (2024 estimate) | IEA: Electricity 2024 (Data Centres chapter) |
| DC capacity | Hyperscale data-center capacity (quarterly) | Synergy Research Group |
| Patents | Global AI patent filings by country (2024) | WIPO |
| Talent | Top-tier researcher distribution (Global AI Talent Tracker, 2023) | MacroPolo |
| Training FLOPs | Frontier-model training compute (Epoch credible estimates) | Epoch AI |
About this page
A scorecard of the global artificial intelligence race: country-by-country standings on training compute, data-center buildout, model releases and research output, updated as the landscape moves.
For investors the AI race is above all a capital-expenditure story. The buildout of chips, data centers and power is one of the largest concentrated investment waves in market history, and it is reshaping index composition, electricity demand and the earnings of everything in the supply chain.
Why does training compute matter?
Frontier model capability has so far scaled with the compute used to train it, which makes access to chips and power a hard constraint. Compute has become the oil of the AI era.
How does the AI race affect ordinary investors?
Through concentration. A handful of AI-linked mega-caps now drive a large share of index returns, so even a plain S&P 500 holder has a meaningful bet on the race's outcome.