
The analysis signals a fundamental policy pivot for central banks and governments, as mis‑aligned technology and trade policies could cripple global growth and financial stability.
The transition from a risk‑based to an uncertainty‑driven paradigm reshapes how policymakers assess macroeconomic threats. Traditional models, calibrated on stable trade flows and predictable monetary environments, now struggle to incorporate the disruptive scale of artificial intelligence and the volatility of geopolitical tensions. By integrating scenario planning and drawing on historical analogues—such as the 1920s technology boom amid trade fragmentation—central banks can better anticipate a wider range of outcomes and design more resilient policy frameworks.
Artificial intelligence’s rapid diffusion amplifies both growth potential and systemic vulnerability. While AI could lift annual productivity growth by up to 1.5 percentage points, its reliance on globally integrated supply chains for chips, data, and talent makes it highly sensitive to trade barriers and divergent regulatory regimes. Fragmentation of the international order—evidenced by a four‑fold rise in G20 tariff‑affected trade within a year—threatens the cost‑effective scaling of AI models, potentially eroding the economic gains they promise. Understanding this interdependence is crucial for firms and governments aiming to capture AI’s benefits without triggering a new wave of economic dislocation.
Lagarde’s call for layered cooperation offers a pragmatic roadmap. Strengthening multilateral institutions provides a stable rule‑based backdrop, while deeper alliances among like‑minded economies can coordinate supply‑chain security and standards. Even limited agreements with strategic rivals—such as baseline semiconductor flow accords—can mitigate the worst‑case scenarios of a fragmented world. By embedding these cooperative layers, policymakers can reduce the exposure of the global economy to the twin shocks of technological upheaval and geopolitical discord, preserving growth pathways in an era of profound uncertainty.
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