Christopher Pissarides, the Nobel Prize-winning economist specialising in labour market dynamics and automation, has issued a stark warning that artificial intelligence will not resurrect the robust productivity growth that characterised Western economies in the late twentieth century. Speaking to Bloomberg News, Pissarides argued that this era of expansion may have conclusively ended, regardless of technological breakthroughs. His assessment directly challenges the prevailing optimism among technology executives and government policymakers who have positioned AI as the solution to decades of economic stagnation.
The sluggish performance gripping developed economies, particularly across continental Europe, has created a policy environment marked by difficult trade-offs and constrained fiscal room. Governments and central banks face mounting pressure to stimulate growth while managing inflation and fiscal sustainability. The weakness in real wage growth across the developed world has compounded these challenges, fostering political volatility and voter discontent that many analysts trace directly to economic underperformance. Against this backdrop, both technology firms and policymakers have invested considerable hope in AI as a mechanism to unlock the productivity gains necessary to restore growth trajectories to historical levels.
Yet Pissarides, who earned his Nobel Prize in 2010 for groundbreaking research on labour market frictions and search dynamics, presents a more measured perspective grounded in empirical observation. He contends that current evidence provides little support for the grandiose claims advanced by technology sector leaders. Jensen Huang of Nvidia and Sam Altman of OpenAI have made sweeping assertions about AI's transformative potential for employment and economic performance, predictions that Pissarides views with considerable scepticism. The professor at the London School of Economics argues that such optimism underestimates the structural limitations constraining AI's economic impact.
Central to Pissarides' analysis is the observation that roughly 40 percent of employment in the United Kingdom—and similarly substantial proportions in the United States—operates in sectors fundamentally resistant to artificial intelligence automation. He specifically identifies nursing and hospitality as sectors where human presence, judgment, and interpersonal capability remain essentially irreplaceable. These areas encompass millions of workers whose productivity will not benefit from AI implementation, meaning that aggregate productivity gains remain structurally capped. This reality fundamentally constrains the economy-wide impact that even successful AI deployment can achieve.
During a lecture delivered on July 6 at the Royal Economic Society conference in Newcastle, Pissarides elaborated on the mathematical implausibility of achieving the growth rates that AI enthusiasts project. He argued that even if sectors most exposed to AI—particularly finance and technology—experience substantial productivity improvements, the gains would be insufficient to generate the aggregate growth rates that optimists envision. The exposure remains too concentrated, and the baseline productivity levels in AI-exposed sectors, while high in absolute terms, are already relatively efficient. Achieving the transformative growth scenarios requires unrealistic productivity acceleration concentrated in too narrow a range of economic activity.
Drawing on historical precedent, Pissarides expressed profound doubt that the current AI wave would replicate the computer and information technology revolution that accelerated productivity through the 1980s and 1990s. That earlier technological transition penetrated far more extensively across the economic landscape, from manufacturing to administration to commerce. The digital revolution remade business processes across diverse sectors simultaneously, creating compound productivity benefits that accumulated throughout the economy. Artificial intelligence, by contrast, shows uneven applicability and concentrated utility within specific domains. This structural difference between the two technological eras undermines comparisons and tempers expectations for similar economy-wide productivity improvements.
The economist acknowledged significant uncertainty surrounding AI's eventual trajectory and impact, cautiously noting that predictions about emerging technologies are inherently speculative. Nevertheless, based on current evidence and existing deployment patterns, he sees little indication that the technology will generate productivity acceleration comparable to previous transformative technological cycles. The modest productivity enhancements visible thus far, combined with the sectoral limitations on AI's applicability, point toward a future of continued modest growth rather than renewed dynamism. Pissarides suggested that policymakers and society should psychologically and institutionally adjust to permanently slower expansion, abandoning assumptions that technological solutions will automatically reverse decades of deceleration.
His perspective contrasts sharply with significant strands of opinion within central banking establishments. Andrew Bailey, Governor of the Bank of England, has publicly positioned AI as potentially transformative for growth trajectories, even if the technology requires substantial time before its benefits materialise into measurable economic statistics. Bailey's framing suggests that patience and appropriate policy accommodation toward AI investment may eventually yield the growth revival that Western economies urgently require. This optimistic institutional view reflects the political and economic pressure on central banks to identify credible growth mechanisms.
The divergence between Pissarides' cautious assessment and prevailing institutional optimism matters profoundly for Southeast Asian economies observing Western technological and economic trajectories. Malaysia and regional peers must evaluate whether betting on AI-driven productivity improvements represents sound policy orientation or misplaced hope. If Pissarides proves correct and rapid productivity growth has genuinely ended, the implications for development strategies, fiscal planning, and workforce preparation shift dramatically. Policymakers must consider whether to pursue AI adoption primarily as a competitive necessity and cost-reduction mechanism rather than as an engine for aggregate growth revival.
Moreover, the debate illuminates the structural challenges constraining developed economies that transcend technological solutions. Ageing populations, declining labour force participation in some sectors, regulatory environments, and geographical distribution of economic activity all constrain growth independently of technological capability. Pissarides' argument implicitly suggests that technology cannot overcome these structural headwinds alone. For developing nations in Southeast Asia that have experienced higher growth rates through demographic advantages and labour abundance, the question of whether those advantages persist remains strategically vital. If AI does prove transformative in concentrated sectors, the geographic and sectoral concentration may amplify existing inequalities within both advanced and developing economies, with consequential implications for inclusive growth and social cohesion across the region.
