Decisive Economic Advantage

Artificial general intelligence may differ from past technologies in ways that would allow a leader to turn an early advantage into decisive economic advantage. Artificial general intelligence may differ from past technologies in ways that would allow a leade…

Early leads in artificial general intelligence (AGI) capabilities lead to either durable economic dominance or temporary gains. But AGI may differ from past general-purpose technologies in ways that would allow a leader to turn an early advantage decisive into economic advantage. This report offers a framework for distinguishing temporary first-mover gains from structurally self-reinforcing advantages.

When do early leads in artificial general intelligence (AGI) capabilities translate into durable economic dominance rather than temporary gains? In one view of the economics of AGI, rivals can also invest, imitate, and reallocate resources, so early advantages tend to erode over time. A competing view is that AGI may differ from past general-purpose technologies in ways that would allow a leader to permanently entrench its position, and an early advantage could translate into an enduring constraint on a rival's ability to compete, translating to decisive economic advantage (DEA).

These debates often rely on competing intuitions without a shared framework for distinguishing temporary first-mover gains from structurally self-reinforcing advantages. This gap matters because strategic choices, such as research and development investment, supply chain policy, diffusion controls, and international coordination, might implicitly assume different answers to the question. Misdiagnosis of the underlying regime risks either overreacting to transient leads or underestimating conditions under which early advantages become durable.

In this report, the author provides a framework for analyzing when economic feedback converts temporary technological leads into durable constraints on a rival's ability to compete, with implications for strategic economic and geopolitical priorities. This report is intended for researchers and analysts concerned with the strategic dynamics of AGI development, including those working on artificial intelligence (AI) competition, economic security, and long-run technological advantage.

A DEA is defined by an economic regime in which asymmetries widen over time, progressively limiting the follower's ability to contest the leader's position. This reframes strategic advantages as an emergent property of interacting economic systems rather than a threshold cross by a single technological metric. Although self-reinforcing AI capability gains offer one pathway to dominance, distinct accumulation-driven pathways operate without recursive self-improvement.

Specifically, development flywheels (in which deployment generates learning data) and reinvestment loops (in which economic gains finance infrastructure moats) can drive divergence through economic feedback alone. Across a simulation space spanning deep parameter uncertainty, the results identify two robust competitive regimes. In the first, natural equilibrating forces (such as technology diffusion or capital adjustment frictions) successfully dampen early leads, leading to convergence.

In the second, feedback mechanisms exceed critical thresholds, causing even modest initial leads to compound into extreme economic dominance. Acting while the economic gap is still small offers the follower substantially higher returns than would attempting to stop the leader's momentum after more-significant asymmetries have emerged. Intervention effectiveness depends on the underlying mechanism driving the DEA.

This research was independently initiated and conducted within the Center for the Geopolitics of Artificial General Intelligence within RAND Global and Emerging Risks using income from operations and gifts from RAND supporters. This publication is part of the RAND research report series. Research reports present research findings and objective analysis that address the challenges facing the public and private sectors.

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Summary

This report covers the latest developments in artificial intelligence. The information presented highlights key changes and updates that are relevant to those following this topic.

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