Tech Wave Growth & Policy Throttle Simulator

Explore how regulatory policy, capital intensity, and labor augmentation throttle or expand General Purpose Technology (GPT) macroeconomic cycles. Benchmark Frontier AI against the Industrial Revolution, Electrification, and the Internet.

Peak GDP Impact
+3.8% /yr
Above historical baseline
Cumulative Surplus (30y)
$24.6 T
Total wealth creation
Inflection Year
Year 6.2
TFP takeoff milestone
Policy Opportunity Cost
-$4.1 T
Surplus forgone via friction
Frontier AI Projection (30-Year Horizon)
Current Policy Output
Unconstrained Frontier
Historical Baseline

General Purpose Technologies: Historical Throttle & Takeoff Comparison

Economists define a General Purpose Technology (GPT) by three traits: pervasive use across virtually all economic sectors, ongoing continuous technological improvement, and strong complementarities that induce new products, processes, and business architectures. As seen with steam power, electrification, and early digital telecommunications, the initial phase often exhibits the Solow Productivity Paradox—heavy capital outlays before systemic reorganization yields visible national statistics.

Wave Key Bottleneck / Throttle Infrastructure Horizon Solow Lag Long-Run Annual TFP Lift
Steam Engine (1780–1830) Metallurgy, mine access rights, canal rights-of-way 40–50 Years ~18 Years +0.4% / yr
Electrification (1890–1930) Factory redesign (group drive to unit drive motors), grid franchise monopolies 30–40 Years ~12 Years +1.4% / yr
Internet / Digital (1990–2015) Broadband fiber buildout, spectrum auctions, enterprise software integration 15–20 Years ~7 Years +1.8% / yr
Frontier AI (2024–2050+) Energy interconnects, high-density compute, regulatory moratoria, licensing hurdles 10–15 Years 3–6 Years (est.) +2.5% to +4.5% / yr (modeled)
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