Euro area firms accelerate AI adoption and investment
New survey data reveals that 38 percent of euro area firms are at an advanced stage of AI adoption, with significant investment plans extending to 2026. The findings, based on the ECB's Survey on the Access to Finance of Enterprises (SAFE), highlight varying adoption rates across firm characteristics.
Advanced AI adoption drives growth expectations
New survey data from the ECB's SAFE survey indicates that 38 percent of euro area firms are at an advanced stage of AI adoption, demonstrating significant or moderate use of these technologies, including predictive and generative tools.
Large firms, listed or venture capital-backed companies, and young firms show higher adoption rates, with 45 percent of large firms and 56 percent of young firms in advanced stages.
Firms making significant use of AI are more likely to anticipate increases in turnover and investment in fixed assets.
Regression analysis shows that significant AI users expect 21 percent higher turnover and 13 percent increased fixed asset investment within three months compared to non-users.
Additionally, these firms project an additional 0.6 percentage point increase in wages and a 1.3 percentage point rise in employment over the next 12 months, highlighting the perceived economic benefits for early adopters.
The expected proportion of future investment allocated to AI also increases with usage frequency, with significant users planning 11.5 percentage points more investment than non-users.
Overcoming barriers, fueling a virtuous cycle
The primary barriers to AI adoption include a perceived lack of usefulness, cited by 30 percent of non-users, and implementation challenges like system incompatibilities and skill shortages, each reported by around 20 percent.
Large firms more frequently cite implementation issues, while younger firms express ethical concerns.
Firms already using AI anticipate allocating a higher share of their total investment to these technologies, averaging 9 percent, compared to 4 percent for non-users.
This suggests a reinforcing cycle where early adopters invest more.
Significant AI users plan the highest investment rates at 20 percent.
Ownership structure also influences investment: listed or venture capital-backed firms lead early-stage AI investment (17 percent), while privately owned firms dominate advanced-stage investments (21 percent).
Young firms, initially investing 3 percent, scale up to 17 percent as adoption deepens.
AI adoption: A widening corporate divide
This study reveals a clear divide in AI adoption and investment, with early adopters fueling a reinforcing cycle of innovation and expecting significant economic gains.
Non-adopters, however, face persistent barriers like perceived lack of usefulness and skill shortages, risking a widening productivity gap.
Policymakers must address these challenges, particularly for SMEs, to foster broader AI integration and ensure equitable economic benefits across the euro area.