AI adoption mirrors factory electrification's slow climb to productivity gains
Source: Exponentialview
The comparison to early electrification is useful but undersells the difference: factories could retrofit existing buildings with power lines and swap steam engines for electric motors, whereas AI requires retraining workforces, rebuilding data infrastructure, and redesigning business processes from scratch. The J-curve framing also obscures a real gap—electrification's payoff was inevitable and measurable (fewer breakdowns, cleaner facilities, easier workflow control), while AI's ROI depends on solving the talent scarcity problem and figuring out which tasks actually benefit from automation versus which ones degrade with it. Organizations betting on a 5-to-7 year wait for returns are gambling on their ability to retain institutional knowledge through a period of chaotic experimentation.