The AI Doom Loop | We Break Down Citrini’s Viral AI Crash Story

Growth formula under threat

Economic growth traditionally equals people times productivity, but AI threatens employment levels while promising massive productivity gains, creating net impact uncertainty.

Substitution versus complement debate

The central question is whether AI replaces workers entirely or amplifies existing talent like software engineers tenfold through cloud coding tools.

Purchasing power versus transition speed

If AI cuts goods costs by 90% while wages remain static, consumers benefit enormously, but social stability depends on whether adoption happens over years or decades.

Collapse of code-only moats

Companies relying solely on software quality face existential risk as AI enables competitors or customers to replicate functionality at near-zero cost.

Enterprise incumbents advantaged

Firms like Salesforce retain power through brand equity, switching costs, and liability protection rather than code quality, allowing them to capture value from lower engineering costs.

Liability as a barrier

Enterprise customers require accountable vendors to sue when systems fail, ensuring human-backed software providers remain necessary for critical infrastructure.

Fictional retrospective framing

Citrini frames his analysis as a June 2028 look-back, emphasizing that path dependency and disruption speed matter more than end-state equilibrium.

The euphoria feedback loop

AI productivity gains initially boost margins, prompting reinvestment in more AI that accelerates labor displacement faster than the economy can equilibrate.

Data lag risks

Current economic indicators show minimal AI impact in labor and productivity data, meaning by the time disruption appears, market adjustments may already be underway.