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.
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) |