Published: 22 February 2026

What happened: CitriniResearch has published a speculative macro scenario — framed as a fictional June 2028 retrospective memo — tracing how accelerating AI adoption could trigger a deflationary economic crisis even as headline GDP remains strong. The piece follows a cascade of events from enterprise AI adoption through mass white-collar job losses to the collapse of consumer spending and intermediary business models.

Why it matters: The authors argue that AI represents a fundamentally different disruption cycle to previous technological shifts: unlike the internet or ATMs, AI is a general intelligence capable of absorbing the very new roles that displaced workers might retrain into. This creates what the piece calls a “human intelligence displacement spiral” — job losses reduce consumer spending, which pressures firms to cut further and invest more in AI.

Wider context: The scenario models a cascade of second-order effects: SaaS valuations collapsing as agentic coding tools allow enterprises to build in-house alternatives; consumer AI agents routing commerce around credit card interchange via stablecoins; and real estate commissions compressing to near zero as agents replicate broker knowledge bases instantly. The piece coins the term “Ghost GDP” — strong nominal output that no longer circulates through the real consumer economy.

Background: Co-written with investor Alap Shah, the piece is explicitly labelled a scenario rather than a prediction — an attempt to model a “relatively underexplored” left-tail risk: that AI outperforming expectations, not failing them, is what triggers systemic economic disruption. The authors note that US white-collar workers represent roughly 50% of employment and 75% of discretionary consumer spending, making them central — not peripheral — to any AI disruption story.

THE 2028 GLOBAL INTELLIGENCE CRISIS — CitriniResearch

Singularity Soup Take: The uncomfortable part is not the doom — it is the logic: once machines can do the jobs created by automation, the historical safety valve of creative destruction breaks down, and nobody in this scenario has a convincing answer for what replaces it.

Key Takeaways:

• Ghost GDP: Strong nominal output figures could mask a hollowing consumer economy if AI-driven productivity gains concentrate wealth among compute owners rather than circulating as wages and discretionary spending.
• Displacement Spiral: Each round of AI-driven layoffs reduces consumer spending, pressuring firms to accelerate further AI adoption — a negative feedback loop the scenario describes as having no natural brake.
• Intermediation Collapse: Business models built on human friction — subscription inertia, information asymmetry, habitual app loyalty — face structural disruption as AI agents optimise transactions continuously on users’ behalf, 24 hours a day.
• Payments Under Pressure: Machine-to-machine commerce gravitating toward stablecoin settlement could threaten substantial card interchange revenue; in the scenario, Mastercard purchase volume growth slows sharply by Q1 2027 as agentic commerce routes around traditional card networks.