ECB highlights AI adoption gains and financial risks for Europe

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ECB highlights AI adoption

Highlights

ECB reports euro area firms will allocate about 10 per cent of total investment to AI in 2025, with 64 per cent using AI experimentally or moderately.
Europe's AI pace lags behind the U.S. and East Asia, with U.S. digital investment growing twice as fast and hosting 75 per cent of global AI computing capacity versus Europe’s 5 per cent.
ECB warns that the global AI investment boom raises long-term interest rates, tightens euro area financial conditions, and increases macroeconomic and stability risks linked to AI equity valuations and debt issuance.

ECB assessment of Europe’s AI transition

As reported by the European Central Bank, AI is already influencing the euro area economy through higher business investment, growth in digital services and strong global demand for European components and capital goods linked to the AI supply chain.

The ECB says firms are set to devote around 10 per cent of their total investment to AI this year. In its Survey on the Access to Finance of Enterprises for the fourth quarter of 2025, 64 per cent of firms report using AI either experimentally or moderately, while 7 per cent describe their use as significant. Among companies planning AI-related investment over the next 12 months, 49 per cent expect to spend on AI technologies and tools, 46 per cent on employee training, 40 per cent on data and infrastructure, and 12 per cent on hiring AI specialists.

The central bank also says household survey data show the share of workers using AI at work has doubled over the last two years to 52 per cent, from 26 per cent in 2024. Workers report meaningful time savings, although these benefits remain concentrated in specific sectors and specialised tasks such as coding. The ECB adds that it does not yet see a major shift in aggregate employment trends, but muted hiring plans are weighing on prospects for new graduates and AI substitution could weaken workers’ bargaining power over time.

Competitive gap and policy implications

The ECB says Europe’s AI expansion remains smaller in scale than the boom in the U.S. and East Asia, a gap that carries implications for growth, capital markets and monetary policy. Over the last two years, digital investment in the U.S. has grown twice as fast as in the euro area, while U.S. workers spend two to three times as much of the working week using AI as workers in the largest euro area economies.

Citing the Stanford AI Index, the ECB notes that the U.S. and China have produced 59 and 35 notable AI models respectively, while France and the UK have produced one each. It also says the U.S. hosts 75 per cent of global AI computing capacity, compared with 5 per cent for Europe. In the ECB’s view, these asymmetries may create wider economic and geopolitical strains even if trade helps spread some of AI’s benefits.

The bank says the global AI investment boom is likely contributing to higher long-term interest rates and pushing up prices for AI-related components such as semiconductors. For the euro area, spillovers into bond markets amount to a meaningful tightening in financial conditions, making AI-related capital flows and valuations relevant to the ECB’s policy stance. It adds that elevated equity valuations for AI firms and a surge in AI-linked debt issuance also present macroeconomic and financial stability risks if expectations for AI progress weaken or investor sentiment turns.

The ECB says it is also pursuing its own internal AI adoption agenda to improve analytical capacity and organisational efficiency. It links that work to its broader digitalisation strategy, including the digital euro and its Pontes and Appia projects, while maintaining that Europe has much to gain if the AI transition is anchored by price stability and financial stability.

In our earlier article on ECB chief economist Philip Lane’s remarks on AI, we explained how wider AI adoption could weaken workers’ bargaining power and contribute to slower wage growth even while inflation remains above target. We also noted his warning that heavy corporate borrowing to fund AI investment is tightening financing conditions and lifting long-term bond yields, making AI-driven spillovers increasingly relevant for ECB policy decisions.

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