AI Investment Outpaces Eurozone Capital Formation, S&P Data Shows

Inflation-adjusted intellectual property investment in the eurozone rose 15% between early 2022 and the second quarter of 2026, according to S&P Global Market Intelligence. Total investment grew only 8% over the same period. The gap shows that AI-related capital formation is now the fastest-moving part of European business investment.

The divergence matters because intellectual property products cover software, data and research assets — the inputs firms need before they can deploy AI at scale. When this category grows almost twice as fast as investment overall, companies are not merely testing technology. They are building the base to run it.

What is driving the AI investment gap?

S&P Global Market Intelligence identifies three concrete signals of expanding AI-related capital formation: intellectual property investment, computing equipment imports, and data center projects.

Imports of processors, memory and data-processing equipment tell part of the story. These goods now account for 7% of total eurozone imports. The acceleration reflects both higher volumes and higher prices, which S&P reads as confirmation of a genuine infrastructure build-out rather than a statistical artifact. In plain terms: European firms are buying the hardware, and paying more for it.

The third signal, data center construction, points in the same direction. Data center projects indicate that spending on physical AI infrastructure is following the spending on software and equipment. S&P describes the investment cycle as moving from experimentation toward deployment.

How fast is AI adoption actually spreading?

Adoption data supports the investment figures. The share of eurozone firms using AI more than doubled between 2023 and 2025, S&P data shows. Usage is expanding across all company sizes and regions, which indicates broad diffusion rather than a niche trend.

Large firms lead. Among companies with 250 or more employees, 58% use AI. Smaller firms trail that figure, but their adoption is also rising.

The regional pattern is less even. Northern and northwestern eurozone economies generally lead in AI adoption, while several southern and eastern eurozone economies remain at an earlier stage. S&P flags a risk here: uneven adoption could widen regional differences in productivity and investment across the currency area. Economies that build AI capability faster may pull further ahead in output per worker.

What are European policymakers doing about it?

S&P identifies three focus areas for European initiatives:

• Mobilizing private capital for AI-related investment
• Expanding computing capacity
• Improving access to power, land and finance

The third item reflects a practical constraint. Data centers and computing infrastructure need electricity, physical sites and financing before any AI workload runs. European programs are therefore targeting the enabling conditions, not only the technology itself.

What does this mean for the investment cycle?

The picture S&P draws is of a cycle maturing. Early-stage experimentation gave way to deployment, and deployment shows up in the hard numbers: 15% growth in intellectual property investment, computing equipment at 7% of imports, and adoption that doubled in two years. The 58% adoption rate among large firms suggests the technology has crossed from pilot projects into routine operations at the top of the market.

The open question is regional. If southern and eastern eurozone economies do not close the adoption gap, AI could deepen the productivity divisions within the currency union rather than narrow them. On current S&P data, the north leads and the build-out continues — and the investment gap between AI-related and total capital formation, now at seven percentage points, sets the benchmark to watch through 2026.