Machinepower Index / Dossiers / Germany
Rank 4–8 across the scoring rules tested. How this is tested
Germany
Chokepoint Leverage — For nations holding a step in the chain nobody can route around, which their government could switch off: trade access for compute, investment and protection, and stay irreplaceable.
How the Score, Potential and bottleneck cost are worked out: methodology.
The three layers
Energy, grids, data centres and silicon — the physical capacity to run models at scale.
Compute tracked by Epoch AI: Germany controls 36,000 H100-equivalents, wherever the sites are; has 200 on its soil with the owner not reported. Hosted compute is shown, not scored.
Models, alignment capability, standards influence and the talent that produces them.
The capacity to wire AI into the state and the economy while holding public consent.
Where the score comes from
| Layer | Sub-dimension | Basis | Score |
|---|---|---|---|
| Watts | Planning & Permitting | Assessed | 5.8 |
| Firm Power Capacity | Dataset | 6.0 | |
| Sovereign Compute | Dataset | 8.0 | |
| Hardware & Silicon Access | Dataset | 7.5 | |
| Weights | Frontier Model Output | Assessed | 4.5 |
| Alignment Capability | Assessed | 7.6 | |
| Regulatory Standing | Dataset | 9.1 | |
| Talent Density | Dataset Sources differ | 7.3 | |
| Will | Policy Capacity | Dataset | 8.5 |
| Public Sector Adoption | Dataset | 8.3 | |
| Workforce Transition | Dataset | 9.3 | |
| Public Trust | Dataset | 5.3 |
Assessed marks a measurement we judged rather than took from a dataset: 3 of the 12 here.
Sources differ marks a cell where two sources disagree by more than a point. Talent Density: Stanford's count and the developer-based estimate differ by more than a point (7.9 against 6.8); the cell is their average.
Sources
Share of adults agreeing that products and services using AI have more benefits than drawbacks; the Index scores public trust as 1 + share ÷ 10. Survey of 23,532 adults across 32 countries, March to April 2026.
View source →Germany's 2023 Energy Efficiency Act adds efficiency and waste-heat requirements for new data centres, and grid connections in the Frankfurt hub are heavily constrained, with long waits for new capacity.
View source →Freiburg-based Black Forest Labs builds FLUX, among the leading image-generation model families, with over 400 million downloads and use inside Adobe, Canva, Meta and Microsoft products. Germany's language-model lab, Aleph Alpha, agreed in April 2026 to merge into Toronto-based Cohere.
View source →JUPITER at Jülich, inaugurated September 2025 with ~24,000 NVIDIA GH200 superchips, is Europe's first exascale system and ranks #5 on the June 2026 TOP500.
View source →The Commission records 77 expressions of interest from 16 member states across 60 sites for AI gigafactories, with German sites among them. No bidders are named publicly and the formal call is due in summer 2026.
View source →Germany ranks fifth globally in the 2025 index; strong industrial and research capacity offset by slower public-sector diffusion.
View source →Used for the workforce measurement. The IMF combines schooling, pay, labour mobility and active labour-market policies; the Index rescales it so the weakest of 173 economies scores 0 and the strongest 10.
View source →A cross-check for alignment, which stays assessed. The Research Almanac counts English-language research only, so it understates Japanese, Korean and Chinese work.
View source →Fossil, nuclear, hydro and other dispatchable plant; averaged with generation for firm power.
View source →Second source for talent, averaged with Stanford's count.
View source →Second source for public trust, averaged with Ipsos.
View source →Capital is shown beside the Score, not scored.
View source →Half of public trust: support for building more data centres, scored as 1 + share ÷ 10 and averaged with trust in AI.
View source →On the register — what the world cannot get anywhere else
Germany holds one of the register's chokepoints: a position nobody else can route around, which its government could actually shut off. See the whole chain.
ZEISS SMT makes the mirrors and optical columns inside every ASML machine. ASML states in its own annual report that without them it would effectively cease to be able to conduct its business, and that its output is capped by ZEISS capacity. Oberkochen and Wetzlar are the only two places on earth the columns are built. There is a German chokepoint inside the Dutch one. Berlin has never used it: it declined to join the 2023 export controls, and because transfers inside the EU need no licence, it could not block shipments to ASML even if it wanted to.
ASML Annual Report 2025 →Bottlenecks
These hold Germany below its Potential. Its two lowest scores cost it the most: frontier model output at 4.5 (part of Weights) and public trust at 5.3 (part of Will).
Assessment
Germany has strong industrial potential and research base but is hampered by slow state diffusion and regulatory caution. The gap between its material potential and political will is its defining challenge.
The art of the possible
Germany's problem was never capability — JUPITER is Europe's first exascale machine and its industrial base is unmatched. Its upside case is administrative: procurement reform and faster public-sector deployment would convert existing hardware and research strength into the Will its Score is missing. The trade on the table: industrial capacity that cheap intelligence multiplies — the input a racing superpower most lacks — exchanged for frontier access on favourable terms.
Strategic play — Chokepoint Leverage
Treat ZEISS as the national asset it is: keep the only two places on earth that make EUV optics the only two, and decide in Berlin what that position is worth. At home, fix the procurement and permitting that stop JUPITER-class hardware and an unmatched industrial base from becoming deployed capability.
Leverage — the nearest position. Already holds a chokepoint inside a chokepoint: every ASML machine depends on ZEISS optics built in two German towns.
Open Germany in the live Index → — every source behind every number, and the comparison tool.