Artificial intelligence is advancing faster than many people realise and could dramatically expand the United States economy over the next four years, Anthropic co-founder Jack Clark has warned.
Speaking at the International Monetary Fund (IMF) and World Bank annual meetings in Bangkok on Saturday, October 17, Clark said rapidly improving AI capabilities could transform industries, accelerate scientific discovery and create new sources of economic growth.
An internal economic model developed by Anthropic suggests that US gross domestic product (GDP) could reach approximately $44 trillion by 2030 under an extreme scenario in which AI becomes highly capable and is adopted rapidly across the economy.
The scenario would represent a substantial increase from the current US economic output of just over $30 trillion. However, Clark acknowledged that the projection might sound far-fetched, emphasising that it depends on AI technology continuing to improve and generating the new industries and inventions needed to sustain such rapid growth.
Anthropic Warns AI Could Transform the US Economy
Clark said the pace of AI development was accelerating, with improvements in the technology potentially driving significant changes across industries.
According to Anthropic’s analysis, AI could increase productivity by allowing businesses and workers to complete tasks more efficiently, automate certain activities and develop new products and services.
The company’s economic model examines how different levels of AI capability, adoption and automation could influence economic growth, employment and wages by 2030.
In its most transformative scenario, AI becomes capable of performing most knowledge-work tasks autonomously, while businesses adopt the technology quickly enough to produce a dramatic increase in economic output.
Anthropic estimates that US GDP could reach $44.4 trillion in this scenario, approximately 32.4 per cent above the model’s baseline projection.
The company stresses, however, that the scenario is not a prediction that this outcome will definitely occur. The eventual economic impact will depend on how quickly AI improves, how widely it is adopted and how businesses and workers adapt.
AI Could Accelerate Scientific Discovery
Clark pointed to the potential for AI to speed up scientific discovery as one of the factors that could support much faster economic growth.
Advances in AI could help researchers analyse information, develop hypotheses and conduct complex tasks more efficiently. If these capabilities lead to breakthroughs in areas such as medicine, engineering and industrial technology, they could generate new industries and expand economic activity.
Clark argued that economic growth on the scale suggested by Anthropic’s extreme scenario would require more than simply making existing jobs faster or cheaper. It would likely depend on the creation of new inventions, businesses and forms of economic activity.
The challenge, therefore, is not just whether AI can perform existing tasks but whether its capabilities can translate into innovations that spread throughout the wider economy.
Anthropic’s Three Possible AI Economic Scenarios
Anthropic’s economic model outlines three possible paths for the US economy by 2030, depending on how AI capabilities and adoption develop.
| Scenario | Projected US GDP in 2030 | Estimated impact |
|---|---|---|
| Modest | $34.1 trillion | 1.6% above the baseline |
| Substantial | $36.3 trillion | 8.3% above the baseline |
| Extreme | $44.4 trillion | 32.4% above the baseline |
The estimates come from Anthropic’s scenario model and are measured against its baseline projection using 2025 price levels. They are conditional outcomes rather than guaranteed economic results.
The modest scenario envisages gradual productivity improvements, with economic effects comparable to those of previous major technologies.
The substantial scenario assumes that AI can perform a much larger share of knowledge work, helping the economy grow faster while creating pressure on some occupations.
The extreme scenario assumes much more widespread automation, with AI performing nearly all knowledge-work tasks autonomously and adoption spreading rapidly across the economy.
The differences illustrate how the speed of adoption and the ability of businesses to turn AI capabilities into productive activity could determine the scale of the economic impact.
Rapid Growth Could Also Put Jobs at Risk
Despite the potential economic gains, Anthropic has warned that a more powerful AI-driven economy could create serious challenges for workers.
In its substantial scenario, the company expects some knowledge workers to experience limited wage growth as AI takes over or changes tasks previously performed by people.
The extreme scenario presents a more disruptive possibility, in which AI becomes more capable than humans at most knowledge-work tasks and performs much of that work independently.
Under those conditions, businesses could need fewer employees for some roles, forcing displaced workers to retrain or move into different occupations.
Anthropic’s analysis also raises concerns about how the benefits of economic growth would be distributed. Even if the economy became significantly larger, the gains might flow disproportionately to companies and investors that own the technology, rather than being shared evenly with workers.
The company says the challenge will be ensuring that productivity gains benefit society while limiting the costs associated with job displacement and economic inequality.
Clark Calls for International Cooperation on AI Rules
Clark also called for international cooperation to establish safeguards for increasingly powerful AI systems.
He argued that the scale and speed of technological change require serious consideration of how the technology should be developed and deployed.
His comments came amid broader discussions at the IMF and World Bank meetings about AI safety, employment disruption and the risks of allowing technological development to outpace regulatory responses.
IMF Managing Director Kristalina Georgieva has similarly urged governments to cooperate on AI governance, warning that rapid advances could create economic and social risks if appropriate safeguards are not established.
The debate reflects a growing challenge for policymakers: encouraging innovation and productivity while protecting workers, maintaining cybersecurity and ensuring that lower-income countries are not left behind.
What Anthropic’s Warning Means for the Future
Clark’s comments highlight the uncertainty surrounding AI’s economic future.
If the technology continues to improve and spreads quickly through businesses, it could boost productivity, accelerate research and create opportunities for new industries. But those benefits are not guaranteed, and the transition could be difficult for workers whose roles are automated.
Anthropic’s $44.4 trillion scenario demonstrates the potential scale of the transformation the company is examining. It should not, however, be interpreted as a firm forecast of where the US economy will be in 2030.
The outcome will depend on technological progress, adoption rates, new business creation, government policy and the ability of workers to adapt to changing labour-market demands.
For governments and businesses, the central question is increasingly how to prepare for rapid AI-driven change while ensuring that the resulting economic gains are widely shared.