Method 2026-09-05
Compute Leverage
Leverage over a frontier training run, measured as switching cost times redeployment time.
Leverage over a frontier training run, measured as switching cost times redeployment time.
Attribution by country. Every country hosting tracked AI compute, drawn as one bar of its own hosted capacity, split by how far the ownership chain behind that capacity was documented.
Ink style is the only encoding of certainty: solid where the record names a controller inside the host country, outlined where it names one somewhere else, dotted where the chain was walked and stopped before reaching any jurisdiction, blank where no operator, owner or hardware owner is linked at all.
Every bar is the same width and reads as a share; the absolute capacity is printed beside each row.
The four zones partition each country’s hosted capacity. The last two are different absences: a chain goes opaque where the walk reaches a terminus naming no jurisdiction, which is a limit of the public record, and no operator is on record where nothing was linked to walk from, which is a limit of Scrutica’s coverage.
25 countries below the sixteen drawn are aggregated into the final row.
390 tracked facilities across 68 further countries state no capacity, so they appear in none of these numbers; the largest by site count are Belgium, New Zealand, Turkey. Snapshot 2026-09-09.
69.6 GW of AI compute capacity is hosted in facilities Scrutica tracks across 41 countries. For 30.1 GW of it (43.3%) the documented ownership chain reaches a jurisdiction that can be named, and only 34.2% of the total is under the control of the country it physically sits in. The rest of the attributable share answers to a controller somewhere else, which is the ordinary shape of a hyperscaler region. The remainder splits 31.8 GW (45.7%) where the chain went opaque and a further 7.6 GW with no operator on record. A ranking built on these records would mostly rank where corporate registries happen to be legible.
The walk starts at a facility’s operator, owner or hardware owner and climbs to the deepest documented ancestor. A facility’s compute counts as under its host country’s own control only when the operator’s jurisdiction, the ultimate parent’s jurisdiction and the host country all agree; anything short of that agreement falls into one of the other three zones.
A second measure reads the same chains by how far they trace: the ownership-transparency tiers, from a beneficial owner traceable through public filings down to a linked organisation with no ancestors documented. It runs on a different population, 49.9 GW across 4,257 facilities, against the 69.6 GW across 4,050 above. The two sets of percentages share no denominator and cannot be added. On its own denominator it reads:
Empty by capacity Tier 2 (30 facilities) and Tier 3 (60 facilities) have facilities but no stated capacity, so a capacity-weighted tier reading is 3-valued in practice and the list above gives them no share.
Across 4 snapshots between 2026-04-25 and 2026-04-29, the share of tracked capacity documented to a public filing has risen, from 39.6% to 43.8%.
How to read a move in these lines. Two things move them. The record can change (a facility built, an operator disclosed, a chain walked to a filing), and Scrutica’s coverage can change, because newly-ingested facilities enter at the data gap and move every share without anything happening in the world. The facility count in the same series separates the two: the corpus went from 4,529 facilities to 3,669 over the span, so a share that moved while the corpus shrank is at least partly a fact about this project. The data gap reads 12.4% at the first snapshot and 13.1% at the last.
4 snapshots from 2026-04-25 to 2026-04-29.
Displayed MW are rounded to two decimal places. Download values (JSON) for the full inputs used to calculate the shares.
104,103.31 MW · 4,529 facilities
104,103.31 MW · 4,529 facilities
104,103.31 MW · 4,529 facilities
99,194.63 MW · 3,669 facilities
Capacity-weighted tier shares per snapshot, global: every country, plus the facilities whose country label does not resolve to one. This series is the dated snapshot record, ending 2026-04-29 at 3,669 facilities; the tier list above is the current reading, 4,257 facilities at 2026-09-09; the chart at the top of this page draws 4,050. Bands are the five documentation tiers in order, the tiers with no capacity at zero width.
| Host country | Hosted | Its own | Elsewhere | Chain opaque | No operator | Attributable |
|---|---|---|---|---|---|---|
| United States · 1,490 sites | 51.0 GW | 22.2 GW | 340 MW | 21.9 GW | 6.5 GW | 44.2% |
| United Arab Emirates · 23 sites | 5.2 GW | 0 MW | 5.0 GW | 163 MW | 0 MW | 96.8% |
| France · 309 sites | 2.4 GW | 2 MW | 0 MW | 1.4 GW | 1.0 GW | 0.1% |
| Saudi Arabia · 20 sites | 2.0 GW | 14 MW | 0 MW | 2.0 GW | 0 MW | 0.7% |
| India · 136 sites | 1.6 GW | 1.0 GW | 181 MW | 379 MW | 0 MW | 75.7% |
| Malaysia · 28 sites | 1.5 GW | 0 MW | 180 MW | 1.3 GW | 0 MW | 12.1% |
| Japan · 121 sites | 763 MW | 18 MW | 254 MW | 491 MW | 0 MW | 35.6% |
| Brazil · 113 sites | 761 MW | 0 MW | 0 MW | 761 MW | 0 MW | 0.0% |
| China · 57 sites | 632 MW | 411 MW | 0 MW | 221 MW | 0 MW | 65.0% |
| Italy · 79 sites | 606 MW | 0 MW | 0 MW | 606 MW | 0 MW | 0.0% |
| Germany · 226 sites | 460 MW | 0.4 MW | 55 MW | 404 MW | 0 MW | 12.1% |
| United Kingdom · 203 sites | 382 MW | 0 MW | 13 MW | 279 MW | 90 MW | 3.3% |
| Netherlands · 141 sites | 350 MW | 0 MW | 1 MW | 349 MW | 0 MW | 0.3% |
| Hong Kong · 35 sites | 300 MW | 0 MW | 0 MW | 300 MW | 0 MW | 0.0% |
| South Korea · 40 sites | 290 MW | 109 MW | 64 MW | 116 MW | 0 MW | 59.8% |
| Finland · 32 sites | 234 MW | 0 MW | 86 MW | 140 MW | 7 MW | 36.9% |
| Chile · 31 sites | 156 MW | 0 MW | 0 MW | 156 MW | 0 MW | 0.0% |
| Australia · 123 sites | 155 MW | 0 MW | 55 MW | 100 MW | 0 MW | 35.6% |
| Singapore · 61 sites | 111 MW | 0 MW | 20 MW | 91 MW | 0 MW | 18.1% |
| Indonesia · 87 sites | 96 MW | 0 MW | 0 MW | 96 MW | 0 MW | 0.0% |
| Spain · 46 sites | 93 MW | 0 MW | 8 MW | 85 MW | 0 MW | 8.6% |
| Switzerland · 47 sites | 80 MW | 0 MW | 0 MW | 80 MW | 0 MW | 0.0% |
| Ireland · 35 sites | 74 MW | 0 MW | 0 MW | 74 MW | 0 MW | 0.0% |
| Canada · 111 sites | 60 MW | 0 MW | 52 MW | 5 MW | 3 MW | 87.4% |
| Denmark · 17 sites | 55 MW | 0 MW | 0 MW | 55 MW | 0 MW | 0.0% |
| Sweden · 41 sites | 46 MW | 0 MW | 0 MW | 40 MW | 6 MW | 0.0% |
| Taiwan · 13 sites | 41 MW | 37 MW | 0.9 MW | 3 MW | 0 MW | 92.0% |
| Portugal · 13 sites | 33 MW | 0 MW | 0 MW | 33 MW | 0 MW | 0.0% |
| Israel · 9 sites | 33 MW | 0 MW | 33 MW | 0 MW | 0 MW | 100.0% |
| Norway · 20 sites | 29 MW | 0 MW | 0 MW | 29 MW | 0 MW | 0.0% |
| South Africa · 49 sites | 20 MW | 0 MW | 0 MW | 20 MW | 0 MW | 0.0% |
| Argentina · 47 sites | 10 MW | 0 MW | 10 MW | 0 MW | 0 MW | 100.0% |
| Thailand · 24 sites | 9 MW | 0 MW | 0 MW | 9 MW | 0 MW | 0.0% |
| Iceland · 25 sites | 7 MW | 0 MW | 7 MW | 0.3 MW | 0 MW | 95.2% |
| Russia · 61 sites | 6 MW | 0 MW | 0 MW | 6 MW | 0 MW | 0.0% |
| Mexico · 40 sites | 5 MW | 0 MW | 0 MW | 5 MW | 0 MW | 0.0% |
| Vietnam · 9 sites | 4 MW | 0 MW | 0 MW | 4 MW | 0 MW | 0.0% |
| Poland · 48 sites | 2 MW | 0 MW | 0 MW | 2 MW | 0 MW | 0.0% |
| Luxembourg · 12 sites | 0.7 MW | 0 MW | 0 MW | 0.7 MW | 0 MW | 0.0% |
| Czech Republic · 24 sites | 0.6 MW | 0 MW | 0 MW | 0.6 MW | 0 MW | 0.0% |
| Slovenia · 4 sites | 0.1 MW | 0 MW | 0 MW | 0.1 MW | 0 MW | 0.0% |
What these shares cover These are shares of the capacity Scrutica tracks, which is a fraction of what any country has deployed. The facility corpus is biased toward jurisdictions with public-disclosure obligations, so a country with few tracked sites reads as a distribution across those few sites. The bulk of deployed Chinese compute appears in no source corpus this site ingests.
The Coordination view asks a narrower question of the same chains: whether compute sitting inside an allied export-control regime traces to a parent beyond it. It walks the identical ownership edges.
The facility corpus behind every number here is drawn on the map, where every mark names its source and authority tier. Per-country facility detail, tier by tier, is the visibility section of each country’s own page, and the methodology carries the full derivation.