September 2026
- 2026-09-28 The Open models table was withdrawn: its dataset contained unsourced and implausible entries and omitted models released in 2026. It will return after a sourced rebuild.
- 2026-09-28 The Frontier labs, Semiconductors and Cloud tables were withdrawn after a review found errors in their data introduced by an automated research process (inflated assessment scores; quarterly revenue recorded as annual; a unit error in data-centre capacity). They will return after the data is restored from sourced values.
Cognitive Coefficient Institute (2026). The Cognitive Coefficient Index, September 2026 edition. https://alpha.cognitivecoefficient.com/index/editions/2026-09. Licensed CC BY 4.0.
Licensed CC BY 4.0: reuse freely, credit “Cognitive Coefficient Institute”. Scores are model outputs, not predictions. Terms.
Countries
Economies, ranked on the total cognitive capacity they command and on that capacity per person.
| # | Name | Region | CPI · Cognitive Power | CC · Cognitive Coefficient |
|---|---|---|---|---|
| 01 | United States | North America | 93.6 | 86.7 |
| 02 | China | Asia-Pacific | 91.9 | 69.9 |
| 03 | Japan | Asia-Pacific | 65.4 | 64.4 |
| 04 | Germany | Europe | 63.8 | 70.0 |
| 05 | South Korea | Asia-Pacific | 62.5 | 74.3 |
Major cities
The world's major metros, on the absolute AI capacity concentrated in them and on that capacity per person.
| # | Name | Region | MPI · Metro Power | MCC · Metro Coefficient |
|---|---|---|---|---|
| 01 | New York | US | 87.1 | 75.9 |
| 02 | San Francisco Bay Area | US | 85.4 | 98.6 |
| 03 | Beijing | Asia-Pacific | 83.8 | 72.7 |
| 04 | Shanghai | Asia-Pacific | 80.8 | 66.2 |
| 05 | Tokyo | Asia-Pacific | 80.3 | 58.9 |
US States
The states and the District of Columbia, on absolute AI capacity and on capacity per person.
| # | Name | Region | SPI · State Power | SCC · State Coefficient |
|---|---|---|---|---|
| 01 | California | West | 98.5 | 93.5 |
| 02 | New York | Northeast | 82.7 | 79.3 |
| 03 | Texas | South | 79.3 | 64.6 |
| 04 | Florida | South | 73.5 | 57.5 |
| 05 | Pennsylvania | Northeast | 71.9 | 65.5 |
Largest companies
The largest public companies by market value, scored on corporate power and on AI posture.
| # | Name | Sector | CPX · Corporate Power | CAI · AI posture |
|---|---|---|---|---|
| 01 | Amazon | E-commerce & Cloud | 94.5 | 87.6 |
| 02 | Microsoft | Software & Cloud | 93.3 | 87.2 |
| 03 | Apple | Consumer Electronics | 91.3 | 80.4 |
| 04 | Nvidia | Semiconductors | 86.3 | 95.1 |
| 05 | Alphabet | Internet & Cloud | 85.9 | 96.5 |
AI companies
The companies with the most influence over how AI is built and deployed.
| # | Name | Sector | AII · AI Influence | FRN · Frontier capability |
|---|---|---|---|---|
| 01 | Alphabet | Internet & Cloud | 95.9 | 99.0 |
| 02 | Nvidia | Semiconductors | 95.7 | 90.0 |
| 03 | OpenAI | AI Lab / Foundation Models | 92.7 | 99.0 |
| 04 | Anthropic | AI Lab / Foundation Models | 90.3 | 98.0 |
| 05 | Meta Platforms | Social Media & AI | 89.6 | 92.0 |
Data-centre operators
The developers and operators that build and lease the capacity AI runs in.
| # | Name | Segment | SCX · Stack Capacity Index | AIX · AI exposure |
|---|---|---|---|---|
| 01 | Digital Realty | Hyperscale wholesale | 85.6 | 40.0 |
| 02 | Equinix | Colocation & interconnection | 81.7 | 30.0 |
| 03 | NTT Global Data Centers | Hyperscale wholesale | 76.9 | 35.0 |
| 04 | Aligned Data Centers | Hyperscale wholesale | 73.9 | 60.0 |
| 05 | ST Telemedia Global Data Centres | Regional platform | 70.3 | 35.0 |
Power and energy for AI
The utilities, generators and on-site power providers signed to supply data centres.
| # | Name | Segment | SCX · Stack Capacity Index | AIX · AI exposure |
|---|---|---|---|---|
| 01 | Dominion Energy | Utility | 71.3 | 45.0 |
| 02 | AES | Independent power producer | 68.7 | 45.0 |
| 03 | Duke Energy | Utility | 65.7 | 25.0 |
| 04 | PPL | Utility | 65.0 | 45.0 |
| 05 | Vistra | Independent power producer | 57.0 | 25.0 |
Telecom and network carriers
The fibre backbones, subsea cables and carriers that connect the sites.
| # | Name | Segment | SCX · Stack Capacity Index | AIX · AI exposure |
|---|---|---|---|---|
| 01 | China Mobile | Mobile-led carrier | 78.0 | 18.0 |
| 02 | NTT | Integrated carrier | 76.1 | 12.0 |
| 03 | China Telecom | Integrated carrier | 72.7 | 18.0 |
| 04 | Verizon | Integrated carrier | 71.8 | 10.0 |
| 05 | AT&T | Integrated carrier | 69.7 | 10.0 |
Servers, networking and optics
The makers of AI servers, data-centre switches, optical links and storage.
| # | Name | Segment | SCX · Stack Capacity Index | AIX · AI exposure |
|---|---|---|---|---|
| 01 | Foxconn | AI servers & ODMs | 83.5 | 50.0 |
| 02 | Quanta Computer | AI servers & ODMs | 79.4 | 75.0 |
| 03 | Supermicro | AI servers & ODMs | 76.5 | 90.0 |
| 04 | Wistron | AI servers & ODMs | 74.9 | 55.0 |
| 05 | Wiwynn | AI servers & ODMs | 73.1 | 90.0 |
Power, cooling and electrical equipment
The switchgear, transformers and cooling a data centre needs, and the contractors who fit them.
| # | Name | Segment | SCX · Stack Capacity Index | AIX · AI exposure |
|---|---|---|---|---|
| 01 | Schneider Electric | Power distribution & UPS | 83.7 | 50.0 |
| 02 | Vertiv | Power distribution & UPS | 74.9 | 80.0 |
| 03 | Comfort Systems USA | Electrical contractors & EPC | 58.7 | 55.0 |
| 04 | EMCOR | Electrical contractors & EPC | 56.5 | 25.0 |
| 05 | Wesco International | Electrical distribution | 55.5 | 22.0 |
Critical minerals and materials
The miners and materials makers that chips and power depend on.
| # | Name | Segment | SCX · Stack Capacity Index | AIX · AI exposure |
|---|---|---|---|---|
| 01 | Ajinomoto | Substrates & films | 77.2 | 15.0 |
| 02 | China Northern Rare Earth | Rare earths & magnets | 50.6 | 12.0 |
| 03 | SUMCO | Silicon, quartz & wafers | 41.2 | 50.0 |
| 04 | Tokyo Ohka Kogyo | Process chemicals & gases | 35.6 | 45.0 |
| 05 | SK Siltron | Silicon, quartz & wafers | 32.9 | 50.0 |
Training data and labelling
The companies that produce, label and license the data models are trained on.
| # | Name | Segment | SCX · Stack Capacity Index | AIX · AI exposure |
|---|---|---|---|---|
| 01 | Mercor | Expert data & RLHF | 86.1 | 95.0 |
| 02 | Scale AI | Expert data & RLHF | 75.2 | 95.0 |
| 03 | Surge AI | Expert data & RLHF | 74.3 | 100.0 |
| 04 | Handshake (AI) | Expert data & RLHF | 69.5 | 75.0 |
| 05 | Snorkel AI | Evals & RL environments | 54.5 | 95.0 |