A coalition of more than 200 leading researchers and economists—spanning top artificial intelligence companies and prestigious academic institutions—has issued an urgent plea for policymakers and technology leaders to develop comprehensive frameworks addressing the sweeping economic consequences of AI advancement. The group, which includes 15 Nobel laureates alongside executives from OpenAI, Anthropic and Google, released their joint statement on Monday, signalling growing concern about the pace and scale of disruption posed by artificial intelligence systems.
The experts warn that artificial intelligence represents an economic transformation potentially dwarfing the Industrial Revolution, yet compressed into a dramatically accelerated timeline. Unlike previous technological upheavals that unfolded over generations, allowing societies time to gradually adjust institutions and labour markets, AI-driven changes could materialise within just a handful of years. This compression creates acute challenges for workers, businesses and government agencies unprepared for rapid shifts in economic structures and employment patterns.
Anton Korinek, an economics professor at the University of Virginia who joined Anthropic's research division in March, articulated the urgency starkly: the technologies that previously reshaped economies—steam power, electricity, computing—each granted societies multiple decades to adapt. AI may offer only a few years. Korinek emphasised that societies cannot develop their response strategies and institutional frameworks while the transformation is already underway; delaying action until uncertainty resolves risks arriving too late to mitigate harms or capture benefits.
The statement demands that governments and institutions prioritise research into AI's economic dimensions, moving beyond technical development to understand labour displacement, income distribution, sectoral disruption and broader macroeconomic effects. The signatories call for building new policies and institutions capable of ensuring AI technologies advance human welfare while managing critical risks, particularly large-scale job displacement across sectors. This represents recognition that current governance structures—designed for slower technological change—may prove inadequate for the speed of AI advancement.
The initiative was organised by Korinek alongside fellow economists Erik Brynjolfsson, Ajay Agrawal and Tom Cunningham, all recognised experts in technology's economic implications. Their collaboration reflects a coordinated effort to elevate economic concerns within discussions that have often focused narrowly on AI safety and capability development. By assembling such a prominent roster of signatories, the organisers sought to lend credibility and weight to warnings about economic disruption that might otherwise be dismissed as alarmist.
Among the statement's signatories are figures wielding direct influence over AI development. Sarah Friar, chief financial officer at OpenAI, lent her signature despite working for one of the companies potentially driving the most rapid advancement. Jeff Dean, chief scientist at Google DeepMind, similarly committed, as did Jack Clark, co-founder of Anthropic. This cross-sector participation suggests genuine convergence among technology leaders that economic consequences demand serious policy attention, even as their companies continue pushing AI capabilities forward.
The inclusion of Nobel laureates Michael Spence, Daron Acemoglu and Simon Johnson—scholars recognised for foundational work on institutions, development and economic growth—signals that this is not merely a technical concern but a fundamental challenge to economic and social organisation. Their participation validates the statement's framing of AI as posing questions comparable in significance to previous industrial transformations. For the Malaysian and Southeast Asian context, where economies are deeply integrated into global technology supply chains and labour markets remain a crucial development factor, the implications are particularly acute.
The timing of this appeal reflects heightened awareness that AI capabilities are advancing faster than policy responses. Unlike pharmaceutical development or financial regulation, where lengthy review periods precede implementation, AI systems can be deployed with minimal friction. This asymmetry creates a window during which proactive policy design remains possible but narrowing. The statement essentially argues that policymakers and institutions face a choice: invest now in understanding and managing economic transitions, or scramble reactively once disruption occurs.
For developing economies and middle-income countries, the economic dimensions of AI pose distinctive challenges. If wealthy nations absorb AI productivity gains while managing displaced workers through comprehensive social safety nets, growth patterns could diverge sharply. Conversely, if emerging economies develop AI capabilities alongside thoughtful economic transition policies, opportunities to leapfrog traditional development constraints exist. The statement's emphasis on building institutions and policies suggests this outcome is not determined but requires deliberate choice and investment.
The consensus among these experts—bridging academic economists, Nobel laureates and technology company leaders—indicates that AI's economic impact has matured from speculative concern to urgent policy priority. Their call for deeper research acknowledges that current understanding remains incomplete, yet waiting for complete certainty guarantees policy will lag behind change. This framing shifts the burden onto policymakers to begin designing frameworks now, operating with imperfect information but guided by expert consensus that delay carries greater risk than thoughtful experimentation.
For Malaysian policymakers and regional leaders, the statement carries particular relevance. Southeast Asia's economies have historically benefited from participating in global value chains, attracting investment and creating manufacturing employment. If AI accelerates automation and relocates economic activity, the region could face disruption to a development model that has proven broadly successful. Simultaneously, investments in AI capability-building and thoughtful economic transition policies could position the region to thrive in an AI-driven global economy.
