Artificial intelligence could accelerate productivity, but a new Bank for International Settlements model warns that automation may also weaken the consumer demand that supports further innovation. The working paper, published October 12, 2026, identifies a demand bottleneck as a highly plausible alternative to the most bullish growth forecasts.
Why AI Growth Could Hit a Demand Bottleneck
The BIS working paper by Phurichai Rungcharoenkitkul uses a task-based endogenous growth model. In the framework, innovation depends on rents from consumer products. As automation expands, more output moves toward investment and the consumption share shrinks, potentially reducing the commercial returns that finance the next wave of AI research.
This mechanism differs from near-term corporate demand for cloud capacity and models. Investors are already tracking capital spending and AI revenue in upcoming results such as the Microsoft earnings preview. The BIS paper instead asks whether the economy can sustain the end demand required for those investments over many years.
Model Scenarios Point to a Wide Growth Range
The calibrated model separates a transformative outcome from a demand bottleneck and intermediate cases. Under transformative AI, growth reaches 5.5% after two decades. Under the bottleneck, growth briefly rises and then falls below the pre-AI rate of 2% as weaker consumer demand slows innovation.
The result is a model scenario, not a forecast with a fixed event date. Regulatory and supply constraints can also alter the path, including the proposed Chinese controls on critical AI technologies.
What Investors Should Watch
The practical question is whether AI investment produces broad income and consumption growth or concentrates spending in infrastructure faster than demand develops. Revenue conversion, utilization, productivity gains and consumer purchasing power can help distinguish those paths.
The paper also links the uncertainty to the natural rate of interest. A durable productivity boom could lift investment demand and equilibrium rates, while a bottleneck could produce more moderate growth. Hardware adoption will matter alongside software economics, from hyperscale computing to emerging consumer products such as Amazon’s Bee AI wearable.
Elsy kanana
Elsy Kanana is a financial and cryptocurrency journalist at FusionMarketNews, covering digital assets, blockchain technology, financial markets, and emerging fintech trends. Her reporting focuses on market movements, regulatory developments, and on-chain analytics, delivering clear, data-driven insights to readers worldwide.
