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Briefing
AI use and ownership in the financial sector, as supervisors see it
- Financial sector
- Financial supervision
- Ownership of AI
Supervisors find AI in wide use across the financial sector, at over 90 per cent of ECB-supervised banks and 65 per cent of European insurers. Policies and controls lag behind; the ECB sees responsibility spread across IT, data teams, the business and control functions.
This briefing has not been updated for more than three months. Check the figures against the source before you use them.
Compiled with AI from public sources, with the source for every figure. Key figures labelled Checked have been compared with the source by a person. How that works
Key figures
- over 90%of banks directly supervised by the ECB use AI in their operations; 85% use generative AI.ECB Banking SupervisionNot yet checked
- halfof 13 banks studied that use AI for credit scoring and fraud have their own AI policy or AI committee.ECB Banking Supervision (Supervision Newsletter)Not yet checked
- 49%of 347 European insurers have their own AI policy, twice as many as in 2023; almost two thirds use generative AI.EIOPANot yet checked
- 26%of 323 Dutch asset managers have no policy on staff use of AI; 89% have no policy for AI agents.Autoriteit Financiële Markten (AFM)Not yet checked
What the sources say
Every year the ECB collects data on the use of new technology at the banks it supervises. Pedro Machado, a member of the ECB’s Supervisory Board, reported in February 2026 that more than 85 per cent of large banks use AI in some form, and that the number rises every year. In Amsterdam in September 2026, the Board’s Chair, Claudia Buch, put the figure at more than 90 per cent, and 85 per cent for generative AI. Alongside the familiar uses in credit risk, fraud detection and transaction monitoring, AI is now also finding its way into IT operations, the analysis of legal documents and customer contact.
Governance is less advanced. In workshops with 13 banks using AI for credit scoring and fraud detection, described in the Supervision Newsletter of November 2025, about half had their own AI policy or an AI committee. According to the authors, the second and third lines of defence still need to monitor usage more closely, and they describe appointing a Chief AI Officer as an emerging practice. The ECB itself warns that the sample is small. In February Machado saw the same thing more broadly: responsibility is spread across IT, data teams, the business and the control functions, with no clear framework for who is accountable. In September Buch added that digital innovation needs the attention of the board and cannot be left to technical experts alone, and that the bank remains responsible for decisions reached with AI.
EIOPA, the European insurance supervisor, finds a similar picture among insurers. It asked 347 insurers in 25 countries about generative AI, as at the second quarter of 2025; the report appeared in February 2026. Sixty-five per cent already use it and another 23 per cent plan to within three years, although most applications are still at the pilot stage and almost two thirds concern internal processes. Forty-nine per cent have their own AI policy, twice as many as in the 2023 survey. A shortage of skilled staff is among the biggest obstacles, and for now at most insurers a person checks what the system produces.
In the Netherlands, the AFM (the Dutch Authority for the Financial Markets) presented the results of a questionnaire among 323 asset managers from the first half of 2025 in April 2026. Fifty-three per cent use AI or plan to within a year. A quarter have no policy on staff use of AI, more than a third have no technical or procedural controls on those tools, and 89 per cent have no policy for AI agents. At 73 per cent, all staff may freely use public generative AI tools, while 28 per cent have a policy for doing so. The AFM places final responsibility with the board and senior management and asks the sector to set down responsibilities for AI.
How solid is the evidence? Three supervisors, looking separately at banks, insurers and asset managers, find the same pattern of wide use and lagging governance, and EIOPA’s 2023 survey offers a first comparison. The picture is not settled: the bank figures come from speeches and a small sample, and the AFM figures are a snapshot from early 2025.
For the leadership team
Can anyone at the table say, for every AI application in the organisation, who owns it in substance and who reviews it independently? The supervisors are now asking that question themselves, and their figures show the answer is often scattered. The trade-off is whether ownership sits with the business line or with a separate AI function, and what each demands of risk management and audit.
Sources
- ECB Banking Supervision · Claudia BuchDigital innovation: hindrance or booster for banks’ business models?
- Autoriteit Financiële Markten (AFM)AI in Nederlandse assetmanagementsector: gebruik groeit, risico’s groeien mee
Uit het onderzoek blijkt dat een deel van de sector hier nog onvoldoende op is voorbereid
- ECB Banking Supervision · Pedro MachadoTechnology is neutral, governance is not: AI adoption in the banking sector
AI does not dilute responsibility. If anything, it raises the bar.
- EIOPAEIOPA survey on Generative AI shows swift but cautious adoption among Europe’s insurers
- ECB Banking Supervision (Supervision Newsletter) · Sukhanjeet Singh, Andreas Schupbach, Antti Asiala and Daniel Adam SiweckiAI's impact on banking: use cases for credit scoring and fraud detection
About half of the banks in the sample have introduced dedicated policies or committees to oversee AI.
We summarise in our own words and quote no more than one sentence per source. Read the original: there is more in it. How we use sources.
Academic research
- University of Limerick · Owen et al.Generative AI adoption and barriers in the insurance industry
- Universidad de Alcalá · García-Llorente and OlmedaAlgorithmic governance in banking: a comparative analysis of risk-based and accountability-oriented oversight
Academic articles on the same phenomenon, no more than a year old at the last search, from universities in Europe and North America, found through the open database OpenAlex. These articles count towards the publications per month; the text and key figures above are based on the sources. How we choose the articles.
How this briefing has been updated
Title now describes the topics; previously “Supervisors find AI in almost every bank, with ownership scattered” (AI)
Added 2 articles from universities in Europe and North America (via OpenAlex). (AI)
First draft based on the ECB, EIOPA and the AFM; three supervisors measured the same pattern independently in 2025 and 2026. (AI)