Artificial intelligence is transforming European businesses, creating opportunities for innovation, productivity and economic growth. However, a new analysis from the European Central Bank (ECB) suggests that access to finance could determine how successfully the eurozone competes in the global AI industry.

Published on 6 October 2026, the research examines how companies finance AI development and adoption. Its findings reveal a growing shift away from traditional bank loans towards investment funds, equity markets and other financial instruments.

AI Adoption Is Accelerating

Between 2023 and 2025, the proportion of eurozone businesses using at least one artificial intelligence technology more than doubled. Much of this growth has been driven by tools capable of generating and analysing text, speech, images and videos. However, researchers distinguish between companies that adopt existing AI technologies and those developing their own systems.

Businesses adopting AI generally invest in software, digital infrastructure and employee training. Companies developing new AI models face substantially greater expenses, including advanced computing equipment, specialist researchers and extensive testing. The distinction matters because these activities involve different financial risks and investment requirements.

Which Industries Are Leading?

AI adoption and development vary considerably between European industries. Telecommunications, media and information technology services are particularly active in both developing and using artificial intelligence. Meanwhile, professional services such as legal and accounting firms primarily adopt technologies created by other companies.

Researchers analysed business surveys and AI-related patent applications to identify these differences. Their findings suggest that the financial needs of AI-intensive industries may differ substantially from those of traditional businesses.

Why Traditional Bank Loans Are Less Attractive

Companies investing heavily in artificial intelligence often depend on assets that are difficult to use as collateral. Unlike factories, vehicles or machinery, software, algorithms, databases and specialist knowledge cannot always provide banks with easily recoverable security. Consequently, AI-intensive businesses frequently rely on equity investment, venture capital and retained earnings.

The ECB analysis found that companies developing AI generally carry less debt relative to their assets than businesses in other sectors. When these companies borrow, they are increasingly turning towards financial markets by issuing debt securities. This shift is particularly noticeable among businesses with high levels of AI adoption.

What Does This Mean For Interest Rates?

Changes in corporate financing could also influence how European monetary policy affects business investment.

ECB economist Paola Di Casola and her fellow researchers explained that AI-intensive companies may respond differently to interest rate changes because they rely less heavily on conventional borrowing. They also observed that debt securities often have longer repayment periods than bank loans.

As a result, investment decisions in these industries may be more sensitive to long-term financial market conditions and less directly affected by short-term borrowing costs.

Why Europe Trails The United States

European AI innovation has expanded considerably over the past decade, with growing numbers of patents covering machine learning, data processing and business automation. Nevertheless, the United States remains ahead in AI patent activity.

The ECB researchers found that positive developments in AI innovation are associated with increases in lending and investment on both sides of the Atlantic. However, the investment response appears stronger in America. One possible explanation is the greater availability of venture capital, larger equity markets and easier access to financing for rapidly expanding businesses.

European investment funds have also increasingly directed money towards American technology stocks, potentially reducing capital available for European innovators.