Executive summary: This post presents a simplified macroeconomic model showing that increasing AI-driven automation could temporarily reduce GDP—even in perfectly competitive and efficient markets—due to falling wages leading to lower labor supply and thus lower production, with GDP only rising again once automation fully replaces human labor; the post is exploratory and conceptual, not a quantitative prediction.
Key points:
Core model insight: A standard general equilibrium model predicts that as AI automation improves, GDP initially falls over a wide intermediate range before recovering—contrary to the common assumption that automation will always boost economic output.
Mechanism of decline: The GDP drop is driven by falling wages reducing labor supply; the reduction in labor can outweigh gains from automation until human labor is fully displaced.
Three production regimes: The model identifies three regimes: (a) no automation at low productivity, (b) declining GDP with partial automation, and (c) rising GDP once automation fully replaces labor.
Implications of even a temporary GDP drop: A mid-transition GDP decline could destabilize institutions, reducing tax revenue and threatening programs like UBI or AI safety efforts.
Simplified assumptions: The model is highly stylized (e.g., fixed capital, Cobb-Douglas and AK functions, frictionless markets) and not intended to predict real-world outcomes quantitatively.
Call for feedback: The author invites suggestions on how to improve realism in the model, including which assumptions might most affect its predictions.
This comment was auto-generated by the EA Forum Team. Feel free to point out issues with this summary by replying to the comment, and contact us if you have feedback.
Executive summary: This post presents a simplified macroeconomic model showing that increasing AI-driven automation could temporarily reduce GDP—even in perfectly competitive and efficient markets—due to falling wages leading to lower labor supply and thus lower production, with GDP only rising again once automation fully replaces human labor; the post is exploratory and conceptual, not a quantitative prediction.
Key points:
Core model insight: A standard general equilibrium model predicts that as AI automation improves, GDP initially falls over a wide intermediate range before recovering—contrary to the common assumption that automation will always boost economic output.
Mechanism of decline: The GDP drop is driven by falling wages reducing labor supply; the reduction in labor can outweigh gains from automation until human labor is fully displaced.
Three production regimes: The model identifies three regimes: (a) no automation at low productivity, (b) declining GDP with partial automation, and (c) rising GDP once automation fully replaces labor.
Implications of even a temporary GDP drop: A mid-transition GDP decline could destabilize institutions, reducing tax revenue and threatening programs like UBI or AI safety efforts.
Simplified assumptions: The model is highly stylized (e.g., fixed capital, Cobb-Douglas and AK functions, frictionless markets) and not intended to predict real-world outcomes quantitatively.
Call for feedback: The author invites suggestions on how to improve realism in the model, including which assumptions might most affect its predictions.
This comment was auto-generated by the EA Forum Team. Feel free to point out issues with this summary by replying to the comment, and contact us if you have feedback.