The Darwin-Schumpeter Homology

In the AI Story

In the biological substrate, AI increases variation (more hypotheses, more protein-folding predictions, more drug candidates), accelerates selection (faster testing, more rapid experimental iteration), and amplifies retention (broader distribution of successful insights through AI-powered publication systems). In the economic substrate, AI increases variation (the democratization of software development, the collapse of the imagination-to-artifact ratio), accelerates selection (faster market testing, more rapid product iteration), and amplifies retention (scaling successful innovations through AI-powered deployment).

The coupling is what the AI transition adds to the homology. Faster biological discovery produces new knowledge that feeds the economic system. Faster economic innovation produces new tools that accelerate biological discovery. The coupled acceleration creates dynamics that neither substrate would exhibit alone — a self-amplifying cycle whose consequences cannot be analyzed within either substrate's framework. This is why the software death cross of early 2026 was not merely an economic event. It was an evolutionary event in the economic substrate, accelerated by coupling with evolutionary events in the biological substrate, operating at a speed that neither Darwin nor Schumpeter could have anticipated.

Wilson's theory of island biogeography, developed with Robert MacArthur in the 1960s, provides an unexpectedly precise model for the SaaS ecosystem collapse. The theory describes species diversity on islands as a function of two rates: immigration (new species arriving) and extinction (existing species disappearing). AI increased the immigration rate dramatically (new products arriving in the market) and increased the extinction rate dramatically (existing products losing their value proposition). The double shift produced exactly the rebalancing that Wilson and MacArthur's model predicts: rapid, chaotic rebalancing toward a new equilibrium with fewer, larger, more resilient survivors occupying fundamentally different niches.

The surviving companies, the model predicts, will be the ones whose value proposition lies above the code layer — in ecosystem, data, integrations, institutional trust — the same way the species that survive an island's ecological rebalancing are the ones whose adaptations are most deeply integrated with the island's specific conditions. The generalist, the lightly adapted, the recently arrived go first. The deeply embedded persist. Wilson's Caribbean lizards became, through a chain of translation he could not have predicted, a predictive model for the redistribution of value in a three-trillion-dollar software industry.

Origin

Schumpeter's mechanism was articulated most fully in Capitalism, Socialism and Democracy (1942) and his earlier Theory of Economic Development (1911). Darwin's was articulated in On the Origin of Species (1859). The explicit recognition that they described the same process belongs to the evolutionary economics tradition that began with Veblen and flourished in the work of Richard Nelson and Sidney Winter in the 1980s. Wilson's contribution was to integrate this recognition into a broader consilient framework in Consilience (1998).

Key Ideas

The substrate is incidental. Variation-selection-retention does not care whether it operates on genes or code. The algorithm is substrate-independent.

Coupling amplifies. When biological and economic evolution are coupled through AI, the feedback loop between substrates produces acceleration that neither substrate would exhibit independently.

Island biogeography is the model. The SaaS collapse follows the mathematics Wilson and MacArthur developed for Caribbean lizards. The rates shift; the equilibrium rebalances; the survivors share specific adaptive features.

Evolution is not benign. The algorithm optimizes for fitness, not for flourishing. A colony that exhausts its substrate collapses while the optimization is still running. The same risk applies to the human superorganism augmented by AI.