Technology Installation Cycle
Technology installation cycle is the source’s Carlota Perez-style frame for how major technologies move from early introduction through financial excitement, bubble risk, broader coordination, and maturity. In E162.康波周期中的AI：新技术总在萧条期爆发，bad times make good people, the guest contrasts this innovation-cycle lens with Kondratiev Cycle analysis: one tracks how a technology diffuses, while the other asks how economic waves turn.
Applied to AI, the episode places the field closer to an introductory or installation stage than to a mature deployment stage. That explains why the source can be structurally optimistic about AI while still warning that an early financial bubble may break before the technology becomes widely embedded.
141. Freda的投资札记第2集：Tokenmaxxing、把电机塞进蒸汽机、接力赛变篮球赛、孤独、人的连接 adds the AI Economic Diffusion version of the same pattern. Freda / Friday uses the electric-motor and steam-engine analogy to argue that productivity does not arrive when a new technology is merely inserted into old workflows; it arrives when factories, firms, software, and teams are redesigned around the new capability.
Key Claims
- Installation-stage technologies can be technically important before their social, organizational, and investment returns are settled.
- Early finance and narrative can run ahead of deployment, making AI Equity Valuation Risk compatible with genuine AI progress.
- The useful question is not only “is AI real?” but whether infrastructure, workflows, business models, and institutions have absorbed it.
- The installation/deployment frame complements AI Investment Metrics by adding a longer maturity question to tokens, ARR, CAPEX, and deferred revenue.
- Technology diffusion and economic diffusion can diverge: model capability can spread faster than organizational redesign.
Connections
- Carlota Perez — theorist invoked by the episode for technology-cycle staging.
- Kondratiev Cycle — long-wave economic-cycle frame paired with this innovation-cycle frame.
- AI Investment Metrics — observable near-term business signals.
- AI Equity Valuation Risk — market risk when prices assume deployment before it is proven.
- Depression Driven Innovation — macro condition in which new technologies often begin installation.
- AI Economic Diffusion, AI Organization Design, and Agent Native Software — episode 141’s productivity-absorption extension.