Perez provides the cycle with its deepest historical frame for understanding why the dam metaphor that Segal develops in [YOU] on AI is not merely a metaphor but a structural diagnosis. In her framework, the dam is the deployment-phase institution: the educational reform that prepares citizens for the new paradigm, the labor market restructuring that distributes productivity gains, the social insurance that cushions structural displacement, the governance framework that prevents the technology from capturing the regulatory process designed to govern it. Every previous golden age required dams of these four kinds. The Victorian golden age required factory legislation and universal primary education. The post-war golden age required the welfare state and the G.I. Bill. The AI transition requires analogous structures, and they do not exist. Segal observed that the dams were not adequate. Perez’s framework explains why: because the previous revolution’s turning point was never fully resolved, and the institutional infrastructure that should have been built during the 2000s and 2010s was blocked by the political dynamics of a polarized society.
Her specific claim about AI’s position in the historical cycle—that it belongs to the ICT revolution rather than inaugurating a sixth—has radical consequences for the urgency of the institutional response. If AI is a new revolution at the beginning of its installation phase, the turning point lies comfortably ahead. If AI is part of the ICT revolution, arriving after that revolution’s turning point should have occurred, then the window for institutional construction is not ahead. It is now, possibly already closing, and the society entering it carries the full weight of the previous revolution’s unfinished business. Perez wrote in 2019 that she saw the present as the 1930s of the IT surge: “We have had 2 frenzies and we have not yet had a golden age.” The second frenzy is the AI investment surge, and the golden age is still conditional on choices that have not yet been made.
The cycle places Perez in dialogue with Cipolla, whose framework identifies the permanent stupidity fraction that institutional structures must contain, and with Shapiro, whose economics of information goods explains the specific market dynamics of the installation phase’s frenzy. Where Cipolla diagnoses the distribution of actors who will misuse the technology, and Shapiro maps the competitive forces shaping who captures the surplus, Perez provides the historical architecture within which both analyses are situated: the question is not whether the technology produces disruption but whether the turning point produces institutions adequate to the disruption’s scale.
The Death Cross—Segal’s account of the trillion-dollar repricing of the software industry in early 2026—reads in Perez’s framework as a specific instance of a dynamic that has accompanied every turning point since 1771: the migration of value from the installation-phase infrastructure to the deployment-phase ecosystem. Code was the installation-phase asset; judgment, data, and institutional trust are the deployment-phase scarce resources. The repricing was predictable from the pattern. What was not predictable—what Perez’s framework cannot determine—was whether the political will to build deployment-phase institutions would materialize during the window the turning point opened.
Born in Caracas in 1939, Perez trained as an economist before her work at the Science Policy Research Unit at Sussex and at Cambridge led her to the structural question that would define her career: why do the gains of technological revolutions take so long to become broadly distributed, and what determines whether they are distributed at all? The answer she developed over four decades drew on Kondratiev’s long wave theory and Schumpeter’s analysis of creative destruction, but transformed both into something more analytically precise: a framework that distinguished between the phase of a revolution—installation or deployment—and showed that the quality of the institutional response during the turning point between phases determined whether the historical outcome was a golden age or a prolonged period of inequality and instability.
Her 2002 book, Technological Revolutions and Financial Capital, synthesized this framework across the full arc of industrial capitalism. It arrived at the precise moment when the dot-com crash should have opened the ICT revolution’s turning point window—and watched as the institutional response failed to materialize. The financial crisis of 2008 compounded the failure. By the early 2020s, Perez was describing a situation without historical precedent: a society that had endured two speculative frenzies in a single technological revolution without constructing the deployment-phase institutions that every previous golden age required. It was into this institutional vacuum that AI arrived.
Her 2024 essay “What Is AI’s Place in History?” made the diagnosis explicit: AI must be understood as belonging to the fifth technological revolution, not inaugurating a sixth. The distinction is not academic. It is the difference between a society with time to build institutions and a society already past the moment when such institutions should have been built—now facing the most powerful technology of the fifth revolution’s portfolio without the institutional infrastructure that would allow that power to be distributed rather than concentrated.
The five great surges. Perez identifies five technological revolutions since 1771, each following the same two-phase structure: the industrial revolution (1771), the age of steam and railways (1829), the age of steel and electricity (1875), the age of oil and mass production (1908), and the ICT revolution (1971). Each surge followed an identical sequence: irruption of the new technology, speculative installation, crisis at the turning point, and then—contingently, not inevitably—broadly shared deployment.
Financial capital versus production capital. The distinction that explains why installation phases are simultaneously indispensable and destructive: financial capital funds the infrastructure ahead of rational justification, enabling the speed of installation that rational investment would never produce. Production capital builds on that infrastructure during the deployment phase, generating patient, institutional returns. The turning point is the transfer of dominance from one to the other—a transfer that requires institutional architecture to accomplish without producing winners who capture all the gains.
The incomplete deployment problem. The ICT revolution’s installation phase peaked with the dot-com bubble. The turning point came and went without producing the deployment-phase institutions that every previous golden age required. The information age’s incomplete deployment left a society with educational institutions designed for the previous paradigm, labor market protections designed for the industrial employment relationship, and governance frameworks designed for localized, slowly evolving industries. AI arrived into this deficit.
The window and what must be built. The turning point opens a window—brief, precarious, subject to closing the moment political attention dissipates—during which the institutional construction that the deployment phase requires can occur. The window is not a guarantee. It is an opportunity, and the historical record shows both outcomes: the progressive resolution that produced the Victorian golden age, and the failed resolution that produced the 1930s depression. The quality of the deployment-phase institutions built during the window determines whether the surge produces broadly shared prosperity or concentrated wealth with distributed suffering.