A look at why the oft-discussed predictions that AI will deliver double-digit GDP growth in advanced economies are extremely unlikely over the next 10-15 years

Predictions of AI-driven double-digit GDP growth in advanced economies over the next 10-15 years are extremely unlikely, according to analysis by Ben Moll and Alex Imas. While AI capabilities are rapidly advancing, translating this into massive economic expansion faces significant hurdles. Experts like Anthropic's CEO Dario Amodei and researcher Sholto Douglas have suggested annual growth rates of 10-15 percent or even higher, with Elon Musk endorsing these optimistic forecasts. However, Moll and Imas argue that growth is generated by specific economic forces that are subject to "long and variable lags" with respect to AI's impact. They propose that a more realistic baseline growth rate for the next decade to decade-and-a-half is around 4-5 percent, which would already represent substantial growth. Even Anthropic's own economic models show double-digit growth only in extreme scenarios. The authors emphasize thinking in terms of economic levels rather than just growth rates to better grasp the scale of change implied by high predictions, noting that a 100% annual growth rate would mean an economy becoming 100 times richer within a generation.

AI Signal Decode

The core reason advanced economies are unlikely to see double-digit GDP growth from AI in the near to medium term lies in the mismatch between AI's capability explosion and the economic mechanisms that drive GDP. Theoretical models can show explosive growth if certain conditions are met, such as near-instantaneous, economy-wide automation and sustained high consumer spending on the resulting output. However, these models often overlook practical constraints like the slow pace of automation across all sectors, potential job displacement without sufficient new demand, and the physical limitations of production inputs. Moreover, factors such as cybersecurity risks that could destroy economic value and the complex feedback loop of AI automating research and development itself are not guaranteed to materialize quickly enough to fuel such rapid expansion.

The analysis suggests that the hype around AI-driven growth may stem from extrapolating localized advancements to the entire economy or from a misunderstanding of growth rate arithmetic. A 4.7% annual growth rate, for instance, implies doubling wealth in 15 years, a substantial increase not to be underestimated. The authors highlight that for explosive growth to occur, assumptions about automation completely replacing labor, continuous high spending on automated goods, and unhindered investment must hold true. The divergence between theoretical possibilities and practical economic realities means that while AI will undoubtedly boost productivity, the pathway to sustained double-digit GDP growth is far more complex and lengthy than many AI proponents currently predict.