BlockBeats News, February 27 — Economists analyze that even if the productivity boom brought by artificial intelligence becomes a reality, it will be difficult to fundamentally solve the public finance dilemmas of major economies, but it may buy them more time for adjustments.
OECD economist Filiz Unsal stated that if AI-driven productivity improvements can boost employment growth, by 2036, debt levels in OECD countries like the US, Germany, and Japan could decrease by 10 percentage points from current expectations — but this would still be significantly higher than current levels.
Former New York Federal Reserve economist Idanna Appio pointed out that productivity gains are like a “magic” that can greatly improve fiscal dynamics, but “our fiscal problems far exceed what productivity can fix.”
Analysis suggests that population aging is the core challenge. Vanguard Global Economic Research Director Kevin Khang said that the root of debt lies in aging and related welfare expenditures, “solving this problem requires fiscal restructuring, and AI has only bought us time.”
Additionally, there are still uncertainties in taxation and spending: if AI leads to job reductions or profits and capital gains are concentrated, fiscal revenue may fall short of expectations; if productivity increases push up wages in the private sector, government labor costs will also rise. Barclays warned that if an economic recession occurs before the AI boom, markets may become nervous about fiscal trajectories in advance.