The turning point is the most dangerous moment in a technological revolution. The installation phase has deployed the new infrastructure and disrupted the old economy. The deployment phase, which requires institutional catch-up to distribute the gains broadly, has not yet begun. The gap between them is a period of institutional vacuum — a time when the destruction of the old arrangement has accelerated but the construction of adequate new arrangements has not. Financial crisis, political upheaval, and social catastrophe characterize this gap. Historical examples include the 1870s following the steel revolution, the 1930s following the mass-production revolution, and — arguably — the current AI transition. The question the framework forces is whether the turning point can be navigated successfully and, if so, under what institutional conditions.
Perez's framework specifies that turning points are not neutral transitions. They are crisis moments in which the political and economic systems confront the distributional failures of the installation phase and must construct institutions capable of transforming installed capacity into broadly shared prosperity.
The historical record is mixed. Some turning points produced successful institutional transformation: the Progressive Era responded (late, imperfectly) to the steel revolution's concentration; the New Deal responded to the mass-production revolution's Depression-era crisis. Other turning points produced catastrophic failure: the interwar period saw some advanced economies succeed in constructing adequate institutions while others collapsed into fascism.
The AI turning point may be approaching. The SaaSpocalypse of early 2026 exhibited features typical of turning-point crises: rapid asset repricing, widespread institutional shock, political pressure for government response. Whether this marks the turning point proper or merely an early tremor is not yet determinable.
The institutional requirements for navigating the turning point successfully are substantial: regulatory frameworks that constrain platform owners, social insurance systems that protect the displaced, educational investments that equip the workforce, governance structures that distribute the gains broadly. Each of these required decades to construct in previous transitions. The AI transition's compressed timeline makes constructing them in time the defining political challenge of the era.
The dangerous moment. The turning point is where installation has produced disruption but deployment has not yet produced institutional catch-up.
Crisis-marked. Financial crisis and political upheaval are characteristic signals of the turning point.
Historically mixed. Some turning points have been navigated successfully; others have produced catastrophic failure.
AI approaching. The current moment exhibits features of a turning point, and the institutional response is being tested.