Denis Beau: The Challenges Posed by AI From the Perspective of the Central Bank

Why It Matters

AI’s rapid adoption alters growth and inflation dynamics, forcing central banks to refine surveillance and policy tools. Misreading these shifts could impair price‑stability objectives across the Eurozone.

Key Takeaways

• AI drives substantial investment in US semiconductor and software sectors
• French software and database spending doubled in ten years
• Data centre construction investment rose 2.5 times in France
• Central bank must assess AI’s demand‑supply effects on GDP
• AI uncertainty complicates price‑stability forecasting for Eurosystem

Pulse Analysis

Artificial intelligence is no longer a niche technology; it has become a macroeconomic force that central banks must grapple with. For the Banque de France, the challenge begins with mapping AI’s penetration across industries and quantifying its contribution to productivity, demand, and price pressures. The institution’s mandate to safeguard monetary stability now requires a deeper understanding of how AI‑driven automation, algorithmic trading, and digital services influence inflation expectations and the broader economic outlook.

Investment data illustrate the scale of AI’s impact. The International Monetary Fund notes that, since early 2024, the bulk of investment growth in advanced G20 economies has stemmed from U.S. semiconductor and software sectors, reflecting the country’s leadership in AI development. In France, spending on software and databases has doubled over the past decade, while capital allocated to data‑centre construction has surged by a factor of 2.5. These capital flows signal heightened confidence in AI’s productivity gains but also raise questions about potential supply‑side bottlenecks, energy demand, and the transmission of cost pressures to consumers.

For policymakers, the uncertainty surrounding AI’s macro effects complicates traditional forecasting models. The Eurosystem must integrate new data sources, such as real‑time AI adoption metrics, and develop analytical tools capable of dissecting AI’s heterogeneous impact on demand and supply. Moreover, supervisory responsibilities expand as AI reshapes risk profiles within the banking sector. By investing in AI‑enhanced analytics and fostering cross‑border research, the Banque de France aims to preserve price stability while navigating the transformative wave of artificial intelligence.