In a keynote speech at the Federal Reserve Bank of San Francisco’s symposium on AI and the economy, European Central Bank (ECB) Executive Board member Philip R. Lane reviewed how artificial intelligence (AI) is supporting euro area growth through investment and participation in global supply chains. Firms surveyed by the ECB report that AI has added about 10% to their capital expenditure plans for 2026. Adoption is spreading, but the scale and timing of wider economic gains remain uncertain. Financing patterns show growing reliance on debt alongside a potential funding gap for intangible investment. Business adoption remains predominantly limited or experimental. In the fourth quarter of 2025, 64% of firms surveyed reported experimental or moderate AI use, while only 7% reported significant use. Among workers, reported workplace adoption reached 52% in 2026, compared with 26% in 2024. The median worker using AI reported saving three hours a week, although gains varied considerably across tasks. Workers were, on balance, positive about the employment impact, but training needs, reliability concerns and limited interest remain barriers to adoption. Internal funds remain the main source of AI investment financing. External funding is more accessible for hardware and infrastructure that provide collateral than for intangible expenditure such as employee training. Estimates attribute around 0.9 percentage points of annual aggregate credit growth to the AI boom, approximately one quarter of total credit growth in the first quarter of 2026. Europe’s shallower equity and venture capital markets increase dependence on debt, making AI innovation more sensitive to monetary policy. European investors are also funding the global AI buildout through US technology equities and bonds issued by US firms. Banks expect increasing loan demand for digital infrastructure, particularly data centres, while their own AI adoption brings widening cybersecurity challenges. Cyber incidents can amplify liquidity and funding pressures, particularly at banks with limited cybersecurity resources.