Oxford Economics: U.S. Business Equipment and Facilities Spending to Increase by 40% from 2021 to 2027, Over Three Times Europe, Driven by AI Competition
Oxford Economics predicts that from 2021 to the end of 2027, U.S. businesses will increase their actual spending on new equipment and facilities by 40%, more than three times the increase in Europe, primarily driven by the AI competition.
In contrast, actual investment in the Eurozone is expected to grow by only about 12% during the same period, with German corporate investment nearly stagnant. This gap existed in IT investment before the emergence of ChatGPT, and the AI boom has further widened the divide between the U.S. and Europe.
Large tech companies are expected to invest over $725 billion in AI infrastructure by 2026. Analysts point out that the U.S. economy is more dynamic and entrepreneurial, yielding higher returns in the AI competition, while Europe is progressing slowly.
Market mechanisms indicate that event-driven factors are causing a divergence in transatlantic capital expenditures. Funds are flowing into U.S. AI infrastructure and related supply chains, benefiting the U.S. technology, semiconductor, and data center industries, while traditional manufacturing and lagging digital enterprises in Europe are under pressure. The investment gap may reinforce the U.S. advantage in productivity and growth.
Source: Public Information
ABAB AI Insight
Oxford Economics' forecast quantifies the structural divergence in capital expenditures between the U.S. and Europe. The U.S., led by large-scale cloud and AI companies, far exceeds Europe in equipment and facility investments, reflecting advantages in venture capital, energy supply, and planning efficiency. Progress in Europe has been limited since the Draghi competitiveness report.
In terms of capital pathways, the U.S. rapidly deploys data centers and chip capacity through private capital, converting the AI narrative into actual fixed investments. Europe is constrained by energy costs, approval cycles, and insufficient venture capital. The world is currently in a phase of "AI infrastructure arms race," with the U.S. holding a dominant share.
Drawing a parallel to the divergence between the U.S. and Europe during the 1990s internet capital expenditure wave, early movers often lock in subsequent productivity gains.
Essentially, this is about capital concentration and technological substitution. The mechanism is that the enormous demand for computing power, electricity, and cooling in AI training and inference attracts disproportionate investment to regions with cheap energy, fast approvals, and deep capital markets, further widening the gap in growth and innovation.
ABAB News · Law of Cognition
- The real battleground of the AI competition is capital expenditure on equipment and facilities.
- With a threefold difference in investment growth rates, productivity gaps will be locked in.
- Energy and approval efficiency determine who can turn narratives into concrete.