Christopher Pissarides, the 2010 Nobel Prize winner in economics for his research on labour market frictions, has delivered a sobering assessment of artificial intelligence's capacity to revive flagging Western economic performance. Speaking to Bloomberg News, the London School of Economics professor contended that the prolonged period of rapid productivity expansion that characterised earlier decades is likely behind us, regardless of technological breakthroughs. His intervention challenges the prevailing narrative from major technology companies and policymakers who have positioned AI as a potential solution to the economic malaise affecting developed nations.
The sluggish expansion of Western economies, particularly across Europe, has constrained governments' policy flexibility and contributed to an increasingly volatile political environment. Weak real wage growth has fuelled public discontent even as policymakers struggled to deliver sufficient economic momentum. In this context, both technology firms and government officials have embraced AI as a potential catalyst for renewing growth rates that have deteriorated significantly since the turn of the century. Yet Pissarides's analysis suggests this optimism may be misplaced, questioning the foundational assumption underlying much contemporary economic policy discussion.
Pissarides's scepticism rests partly on empirical observation. To date, measurable productivity gains from AI deployment remain elusive, he noted, contradicting the confident predictions emanating from technology sector leaders. Industry titans including Jensen Huang of Nvidia Corp and Sam Altman of OpenAI have proclaimed the technology will fundamentally reshape employment and economic output. Pissarides's caution represents a notably different perspective from these prominent voices, grounded in rigorous economic analysis rather than technological evangelism.
A significant portion of the workforce operates in sectors where AI integration faces practical or fundamental limitations. Pissarides pointed out that roughly four in every ten jobs in the United States and United Kingdom would remain largely insulated from AI's disruptive potential. Sectors encompassing nursing, hospitality, and other service-oriented work depend heavily on human interaction, contextual judgment, and physical presence—attributes that artificial intelligence cannot readily replicate. This employment composition means that even substantial AI-driven productivity improvements in exposed sectors would not translate into economy-wide growth of the magnitude that technological optimists predict.
During a lecture at the Royal Economic Society conference in Newcastle on July 6, Pissarides elaborated on this structural limitation. Achieving the robust growth rates that AI enthusiasts envision would require extraordinary productivity gains concentrated in already highly productive sectors such as finance. The mathematical reality of compounding marginal returns means that productivity improvements in such sectors, while valuable, cannot generate the broad-based acceleration that the optimistic narrative suggests. Pissarides argued this scenario is simply unrealistic given current trajectories and technological capabilities.
The economist explicitly rejected the parallel that some technology proponents have drawn between AI and the computer revolution of the 1980s and 1990s. That earlier transformation fundamentally altered how work occurred across numerous industries and generated sustained productivity improvements that reverberated through economies globally. Pissarides maintained that contemporary evidence provides no indication AI will produce equivalent effects. "I doubt there will be a new computer boom equivalent to what we had in the 1980s and 1990s," he stated bluntly, adding that observed developments do not support expectations of productivity growth matching those historical levels.
Pissarides stressed that considerable uncertainty surrounds AI's eventual economic consequences, cautioning against overconfidence in either direction. Nonetheless, his fundamental conclusion proved unambiguous: "I think we should be resigned to the fact that the days of fast productivity growth are over, whatever we do." This formulation suggests that regardless of technological development or policy implementation, Western economies have entered a structural era of slower expansion. The implications extend beyond mere economic statistics, affecting employment security, wage trajectories, fiscal sustainability, and intergenerational economic prospects.
For Southeast Asian policymakers and observers, Pissarides's analysis carries particular relevance. Many regional governments have positioned themselves as destinations for technology investment and have endorsed AI development as integral to their growth strategies. If Pissarides proves correct, these economies cannot depend on AI-driven productivity booms to deliver the rapid growth that has historically characterised the region's development trajectory. Instead, regional nations may need to reassess their growth models and labour market strategies in light of more modest productivity expectations.
Not all policymakers have embraced Pissarides's pessimism. Andrew Bailey, Governor of the Bank of England, has identified AI as potentially transformative for economic growth prospects. Bailey acknowledged that AI's effects will take time to materialise in measurable economic indicators, yet suggested the technology "may well ride to the rescue" of stagnating productivity. This optimistic positioning contrasts sharply with Pissarides's conclusion, illustrating the genuine disagreement among economists regarding AI's transformative capacity.
The debate between Pissarides and technology-sector optimists reflects deeper questions about economic resilience and adaptability in developed nations. Whether Western economies possess structural capacity for renewed rapid growth, or whether they have entered a permanently altered state of slower expansion, remains contested terrain among serious analysts. Pissarides's Nobel Prize credentials lend considerable weight to his cautionary message, even as his assessment clashes with the aspirational narratives that dominate technology and policy discussions. For investors, workers, and governments planning medium and long-term strategies, distinguishing between justified technological enthusiasm and grounded economic realism has become essential.
