Jordi Visser: Unprecedented market volatility is here, AI is reshaping economic structures, and the economy has split since 2022 | The Pomp Podcast

Jordi Visser discusses how AI-driven technological disruption is creating unprecedented market volatility and fundamentally reshaping economic structures. The economy has bifurcated since 2022, with investors facing new challenges as traditional economic models struggle to adapt to rapid AI advancement.

Jordi Visser's insights highlight a critical inflection point in how technology intersects with financial markets and macroeconomic stability. The emergence of AI as a transformative force has destabilized traditional economic equilibria, creating divergent outcomes across different sectors and asset classes. This bifurcation since 2022 reflects how AI adoption has accelerated unevenly—benefiting technology-forward enterprises while straining legacy industries unable to adapt quickly enough.

The volatility Visser identifies stems from fundamental uncertainty about how AI will reshape productivity, employment, and capital allocation. Markets struggle with conflicting narratives: boundless AI upside potential versus risks of disruption and obsolescence. This structural tension creates whipsaw conditions where price discovery becomes increasingly difficult, as historical correlations break down and new relationships between assets form unexpectedly.

For investors and market participants, this environment demands sophisticated risk management beyond traditional diversification strategies. The economy's split means that performance increasingly depends on exposure to AI-enabled sectors versus traditional industries, creating a winner-take-most dynamic. Portfolio construction must account for technological transformation velocity, not just cyclical economic factors.

Looking forward, market participants should monitor how central banks calibrate monetary policy amid AI-driven productivity changes, which could offset inflation in ways that complicate traditional economic models. The sustainability of AI-driven valuations and whether broad-based economic adaptation can occur before dislocation intensifies remain critical questions.

• →AI-driven technological change is creating bifurcated economic outcomes since 2022, with winners and losers increasingly separated by AI adoption capacity.
• →Market volatility reflects fundamental uncertainty about AI's economic impact rather than typical cyclical fluctuations, requiring adapted risk management approaches.
• →Economic structures designed for pre-AI conditions are struggling to adapt to the pace of technological transformation across sectors.
• →Investors must reassess portfolio construction strategies to account for AI-driven disruption rather than relying on historical correlation patterns.
• →Central bank policy and macroeconomic management face new challenges as AI productivity effects create unprecedented dynamics.