A new European Central Bank survey of 5,087 euro-area companies found that 72% of firms planning AI investment expect to use internal funds, including cash flow and retained earnings. Bank loans and grants were each cited by 16%, leasing by 15%, private equity or venture capital by 6%, and debt securities by just 1%.
That financing mix stands out because the global AI boom is increasingly associated with enormous external funding requirements. U.S. hyperscalers, data-center developers and infrastructure companies are tapping bonds, private credit, bank loans and project finance to fund the AI buildout.
Europe appears to be taking a much more internally funded route.
Cash Is Doing Most of the Work
The ECB’s SAFE survey asked firms how they expected to finance AI investment over the next 12 months.
The result was heavily skewed toward corporate balance sheets. Nearly three-quarters chose internal funding, while external sources remained secondary. Another 18% did not select any financing option, suggesting some companies have not yet decided how they will pay for their AI plans.
The investment itself is also broader than simply buying GPUs. Some 49% of firms expect to spend on AI technologies and tools, 46% on employee training, 40% on data and infrastructure, and only 12% on hiring AI specialists.
Europe’s Capital Markets Remain the Weak Link
The ECB itself argues that the dependence on internal cash could limit how quickly companies can scale AI adoption.
Internal funding is flexible and keeps companies independent from lenders, but it also caps investment at whatever cash the business can generate. That becomes a bigger problem for smaller or rapidly growing firms with ambitious infrastructure needs.
The contrast is especially important because Europe already has a structural funding gap. ECB research has noted that European AI companies have access to a much shallower venture-capital pool than U.S. peers, contributing to some high-growth companies relocating abroad to scale.
Coinpaper has also examined how the global AI expansion increasingly relies on debt financing, with large technology companies and data-center developers issuing hundreds of billions of dollars of bonds as infrastructure spending accelerates.
