The numbers are stated judgments. The record began on 13 October 2026 with starting confidences that the system set from the previous three weeks of reports, and a published rule has made every change since. They are not measured probabilities. The question and the rule are fixed before the record begins, and each change shows its evidence and its reasons. The rule and what is not claimed are on the method page.

The condition it rests on

Large organizations and governments keep requiring that their data, and the AI that works on it, stay under their own control, in what is often called private or sovereign deployment, so this demand persists through 2027.

67.5% stated confidence, Likely (55–80%). Starting point on the record’s first day: Likely (55–80%), 67.5 per cent. Attention level: For information. Trend: Steady.

Key judgment

The judgment as stated before the record began

The main assessment holds only while large organizations and governments insist on keeping their data, and the AI that works on it, under their own control. That insistence shows in government policy that treats AI capacity as a matter of national security, in rules on where sensitive data may be kept and who may reach it, and in wariness of depending on a foreign supplier that could restrict or cut off access. Canada and Germany, Cohere's two home markets once its merger with Aleph Alpha closes, launched a Sovereign Technology Alliance in February 2026, and in June 2026 the European Commission proposed a common way to assess how far cloud and AI services are under European control, for use in public purchasing. The assessment would weaken if buyers came to accept the promises of shared public clouds as enough, if governments cut the money they have set aside, or if rules on where data is kept were relaxed.

Starting point

How the record started this assessment

On 13 October 2026, before the record began, the system read the 10 developments below and chose Likely (55–80%). The record started the assessment at the middle of that range, 67.5 per cent. The reading is kept in the first day's record.

Its reason, machine-written by anthropic/claude-sonnet-4.6: Multiple developments reinforce persistent demand for AI under national control. The EU AI Act enforcement beginning in August and the public consultation on its implementing act strengthen R2 by tightening data and AI governance rules. The EU AI Gigafactories initiative mobilizing over 30 billion euros and the Dutch-German chip design challenge support R3 by showing large investment in nationally controlled computing capacity. Germany dropping a binding framework for its Mistral-SAP sovereign partnership is a modest negative signal but does not reverse the broader trend. Canada's AI moment and the Valcon air-gapped platform launch further confirm demand persists.

1. First reported 11 October 2026, 1 outlet. Cited by the reading.
“European Commission launches public consultation on draft implementing act under ‘AI Act’ | AGENCE EUROPE” · agenceurope.eu · 11 October 2026 · Open the report
2. First reported 9 October 2026, 1 outlet. Cited by the reading.
“Commission starts enforcing AI Act rules and new transparency requirements on 2 August | Shaping Europe’s digital future” · digital-strategy.ec.europa.eu · 9 October 2026 · Open the report
3. First reported 9 October 2026, 1 outlet. Cited by the reading.
“Germany drops binding framework for sovereign AI partnership with Mistral and SAP” · sovereigntymonitor.eu · 9 October 2026 · Open the report
4. First reported 9 October 2026, 1 outlet. Cited by the reading.
“While the world watches Microsoft and Anthropic, Canada is having its AI moment” · theglobeandmail.com · 9 October 2026 · Open the report
5. First reported 8 October 2026, 1 outlet. Cited by the reading.
“Valcon launches highly secure, on-premise, air-gapped data platform, partnering with Databricks to accelerate AI adoption in sovereign environments” · valcon.com · 8 October 2026 · Open the report
6. First reported 7 October 2026, 1 outlet.
“First EU AI Act Harmonised Standard Enters Public Enquiry as Brussels Pushes Compliance Framework | Foxxe Labs” · foxxelabs.ie · 7 October 2026 · Open the report
7. First reported 7 October 2026, 1 outlet. Cited by the reading.
“Dutch and German Innovation Agencies Launch €40 Million AI Chip Design Challenge - Amsterdam Times” · amsterdamtimes.com · 7 October 2026 · Open the report
8. First reported 7 October 2026, 1 outlet. Cited by the reading.
“EU Launches AI Gigafactories Initiative to Mobilise More Than €30 Billion - Brussels Post” · brusselspost.com · 7 October 2026 · Open the report
9. First reported 6 October 2026, 1 outlet.
“Bavaria Launches Incentives to Attract AI Research Labs and Data Centres - Das Deutsche Blatt” · dasdeutscheblatt.com · 6 October 2026 · Open the report
10. First reported 6 October 2026, 1 outlet.
“Digital Omnibus Data Act trade secrets third country jurisdiction Coreper” · yeandel.co.uk · 6 October 2026 · Open the report

Uncertainty

Causes of uncertainty

Sovereign AI is a political aim as well as a buying requirement, and some announcements are statements of intent with no purchase behind them.
Demand for control is strongest in government, defence and regulated industries and weaker elsewhere, so it can look broad while resting on a few kinds of buyer.
Regions of shared public clouds kept inside one country, with encryption keys held by the customer, may satisfy some buyers' rules, which blurs the line between control and a promise of control.

What would change it

What would change the judgment

Governments in Cohere's main markets cutting the money they have set aside for AI under national control, or withdrawing proposed rules that favour it.
Rules that keep sensitive government data inside the country being relaxed.
Large banks, insurers and health systems moving sensitive AI work to shared public clouds.

Causal factors

The causal factors, and which way each one cuts

Factor	Which way it cuts	What evidence looks like	Last moved
R1. Government policy and money for AI under national control Policies, budgets and agreements by which governments pay for or favour AI that stays under national control, such as funding for computing capacity located in the country, national AI strategies and alliances between governments. More of them means demand for control persists.	Supports. A stronger factor supports the assessment.	A government announces money for AI computing capacity that must be located and governed in the country. Two or more governments agree to build AI capacity together and to depend less on foreign suppliers. A government's budget or national AI strategy sets aside money for AI under national control. A government cuts money it had set aside for such capacity, which bears on the factor in the other direction.	Not yet
R2. Rules on where data is kept and who can reach it Laws, regulations and government directives that require sensitive data, and the AI that handles it, to stay in a given country or under the owner's control, including rules for public purchases of cloud and AI services. Stricter rules mean demand for private deployment persists.	Supports. A stronger factor supports the assessment.	A government or regulator issues or tightens a rule that requires sensitive data to stay in the country or on the owner's premises. A lawmaking body advances rules that tie public purchases of cloud and AI services to levels of national control. A rule is relaxed or withdrawn, which bears on the factor in the other direction.	Not yet
R3. Investment in clouds and computing capacity kept within a country Spending by cloud companies, data centre owners and governments on computing capacity that keeps data and AI within a country or under the owner's control. Providers build this capacity where they see demand for control.	Supports. A stronger factor supports the assessment.	A cloud company opens a cloud region that is run separately from its global network and staffed within one country or region. A national AI data centre or computing project is announced or opened. A maker of AI servers reports more orders from governments or regulated industries for their own data centres.	Not yet
R4. Wariness of depending on a foreign supplier Events and statements that make large organizations and governments wary of relying on AI or cloud services that a foreign company, or its home government, could restrict or cut off. These strengthen demand for control.	Supports. A stronger factor supports the assessment.	A foreign provider restricts or cuts off access to its AI models or cloud services in some countries. A government or large organization says it will reduce its reliance on a foreign AI or cloud provider.	Not yet
R5. Large buyers accepting AI from shared public clouds Decisions by governments and large organizations to use AI services on shared public cloud infrastructure for sensitive work, relying on contracts, encryption and regions kept inside one country in place of their own control. More of them means the demand that Cohere serves is weaker than it looks.	Weakens. A stronger factor weakens the assessment.	A government clears an AI service hosted on a shared public cloud for sensitive data. A large bank, insurer or health system moves sensitive AI work to a shared public cloud service. A government signs a broad agreement to use a large US provider's AI services across its public service.	Not yet

Assumptions

What the assessment assumes, and what would break it

RA1. Governments in Cohere's main markets keep paying for and favouring AI under national control, in Canada through its sovereign compute strategy and in the European Union through its proposed sovereignty rules.
Linchpin.
Invalidated if, before the end of 2027, the Government of Canada ends the Canadian Sovereign AI Compute Strategy or moves most of its remaining money to other purposes, as stated in a federal budget, an economic statement, a news release on canada.ca or the strategy's own page, or the European Commission withdraws its proposal for the Cloud and AI Development Act (procedure 2026/0138(COD)), as recorded in the European Parliament's Legislative Observatory. Moving money between parts of the Canadian strategy does not count.
Source: Innovation, Science and Economic Development Canada, Canadian Sovereign AI Compute Strategy, European Parliament, Legislative Observatory, procedure file 2026/0138(COD), Cloud and AI Development Act. The criterion’s fingerprint was fixed on 13 October 2026 and is part of the record’s first day.
RA2. The largest cloud companies keep selling services that hold customers' data and AI within a country or on the customers' own premises, because buyers keep asking for them.
Bridge.
Invalidated if, before the end of 2027, two or more of Amazon Web Services, Google and Microsoft announce, on their own blogs or news sites, that they will close or stop selling a service that keeps customers' data and AI within a country or on the customers' own premises, such as the European Sovereign Cloud of Amazon Web Services, Gemini on Google Distributed Cloud, or Microsoft's sovereign private cloud.
Source: Amazon Web Services, Opening the AWS European Sovereign Cloud, 14 January 2026, Google Cloud, Gemini is now available anywhere, 28 August 2025, Microsoft, Microsoft Sovereign Cloud adds governance, productivity and support for large AI models securely running even when completely disconnected, 24 February 2026. The criterion’s fingerprint was fixed on 13 October 2026 and is part of the record’s first day.

Alternatives

The rival explanations

Evidence moves the assessment only when it bears differently on the assessment than on at least one of these. Evidence that fits them equally carries no weight.

RX1. Demand for AI under national control is created by public money and industrial policy, and would fade if that support were withdrawn.
No development was recorded on this assessment in the last 7 days.
Favoured by:
- Announcements of sovereign AI consist mostly of government funding rather than purchases by organizations.
- Private companies choose shared public clouds even where government policy favours national control.
Ruled out by:
- Private organizations without public funding buy private deployments in growing numbers.
RX2. Buyers settle for promises inside the largest clouds: control comes to mean a region of a US provider's cloud kept inside the country, rather than AI run under the buyer's own control.
No development was recorded on this assessment in the last 7 days.
Favoured by:
- Governments clear regions of US-owned clouds kept inside the country for their most sensitive data.
- Public tenders that once required hosting in the country or on the buyer's own premises accept those regions.
Ruled out by:
- Tenders and rules keep requiring infrastructure that is owned or operated in the country, or on the buyer's premises.

A development is recorded when the rule applies it to the assessment or sets it aside. Each count comes from the readings sealed with the changes, and a development set aside as fitting every alternative equally tells no alternative apart.

Evidence

Evidence behind changes in the last 30 days

Each item is a report or data series cited by a sealed change on this assessment. The update loop reads headlines and summaries, and no summary is shown as the evidence.

No evidence has been cited in the last 30 days.

Considered, set aside

Evidence considered and set aside

Developments the update loop read in the last 30 days and set aside because they fitted this assessment and each of its alternatives equally. Under the rule such evidence carries no weight, so none of it moved anything.

Nothing on this assessment was set aside in the last 30 days.

Changes

Changes to this assessment

No change to this assessment yet.

The other assessments

The rest of the judgment

The question’s text on this page is as sealed on the record’s first day. Fingerprint . Fingerprint pending. Records are fingerprinted each day at 23:59 UTC.