Christopher Pissarides, a Nobel Prize-winning economist specialising in the labour market consequences of technological change, has delivered a sobering assessment of artificial intelligence's economic potential, warning that the technology will not usher Western economies back into an era of robust productivity expansion. His intervention challenges the prevailing optimism among Silicon Valley executives and government policymakers who have positioned AI as an engine capable of reversing decades of sluggish growth that has constrained living standards and strained fiscal policy across developed nations.
The London School of Economics professor argued that approximately four in every ten jobs in the United States and United Kingdom would remain largely immune to AI's transformative effects. Pissarides specifically identified sectors such as nursing, hospitality, and other service-oriented fields as areas where human involvement remains essential and where automation gains would prove marginal. This structural reality, he contended, fundamentally undermines projections of economy-wide productivity surges that have animated recent policy discussions and corporate investment strategies.
The stakes of this debate extend considerably beyond academic disagreement. Western governments, particularly those across Europe, have struggled to sustain growth rates achieved during earlier decades, complicating efforts to manage public finances, expand employment opportunities, and deliver meaningful wage increases to workers. This economic sluggishness has created political instability, fuelling populist movements and eroding public confidence in established institutions. Tech firms and their cheerleaders in government have accordingly embraced AI as a potential circuit-breaker capable of reversing these trends and restoring the prosperity trajectories that shaped the post-war consensus.
Yet Pissarides expressed profound scepticism regarding such claims, pointing to the absence of demonstrated productivity gains from AI deployment thus far. Speaking to Bloomberg News, he directly challenged assertions made by prominent technology leaders, including Nvidia Chief Executive Jensen Huang and OpenAI's Sam Altman, who have contended that AI will generate transformative consequences for employment and output. The economist's credentials on this subject carry particular weight; he received the Nobel Prize in Economics in 2010 specifically for his groundbreaking research into labour market friction and employment dynamics, lending his pronouncements considerable intellectual authority.
During a lecture delivered on July 6 at the Royal Economic Society conference in Newcastle, Pissarides elaborated on his reasoning. He posited that achieving the robust growth rates predicted by optimists would require tremendous productivity improvements concentrated within sectors most exposed to AI, such as financial services. Rather than this scenario materialising, he concluded that the fundamental conditions necessary for such acceleration simply do not exist. His analysis suggests that even in the most automation-receptive industries, the productivity multipliers required to compensate for the protected sectors would prove unrealistic and economically implausible.
The professor drew a pointed historical comparison, expressing doubt that AI would replicate the productivity dynamics associated with computing technology's earlier waves. The 1980s and 1990s witnessed transformative applications of computer systems across manufacturing, services, and administrative functions, fundamentally reshaping work organisation and business models. By contrast, Pissarides suggested that current AI capabilities, despite their sophistication, lack the comprehensive applicability necessary to generate similar economywide effects. His assessment represents a marked departure from techno-optimist narratives that routinely invoke earlier technological revolutions as precedents for AI's expected trajectory.
While acknowledging that AI would likely produce some localised productivity improvements, Pissarides emphasised the improbability of these gains matching historical benchmarks. He cautioned against drawing premature conclusions, stressing that substantial uncertainty surrounds the technology's ultimate economic footprint. Yet his remarks reflected a conviction, grounded in labour economics research, that the employment landscape contains structural features limiting AI's disruptive potential across broad swathes of the economy. This distinction between concentrated sectoral transformation and genuine economywide acceleration constitutes the crux of his argument.
Pissarides advanced a provocative proposition: contemporary policymakers and economists should abandon optimistic narratives and instead prepare societies for an indefinite future characterised by modest productivity expansion. His framing suggests that the extraordinary growth rates of the post-war era through the 1970s represented an historical anomaly rather than a sustainable baseline. From this perspective, returning to such rates through technological means alone appears unrealistic, irrespective of AI's capabilities. This reorientation of expectations carries profound implications for pension systems, fiscal planning, and intergenerational welfare arrangements predicated on sustained expansion.
The economist's position stands in tension with assessments offered by certain central bank officials navigating the policy frontier. Andrew Bailey, the Bank of England Governor, has identified AI as a potentially transformative force capable of reinvigorating economic expansion. While Bailey recently cautioned that benefits would accrue gradually rather than immediately, he suggested that the technology "may well ride to the rescue" of Western economies confronting secular stagnation. This formulation represents precisely the type of techno-optimism that Pissarides challenges through his employment-focused analytical framework.
For Malaysian and Southeast Asian policymakers, Pissarides's analysis carries particular relevance. Emerging markets in the region have historically pursued integration into advanced technology supply chains and labour-intensive manufacturing as growth strategies. If AI indeed delivers disappointing productivity contributions to developed economies whilst simultaneously automating routine manufacturing processes, the regional model predicated on gradual technological upgrading becomes increasingly precarious. The economist's warnings suggest that expecting AI-driven growth in developed markets to generate spillover benefits through expanded trade and investment flows may prove illusory. Southeast Asian economies may require more fundamental restructuring of competitive strategy than conventional assumptions about technological diffusion have anticipated.
