In the fictionalized “2028 Global Intelligence Crisis” scenario modeled by Citrini Research, a bizarre macroeconomic anomaly takes center stage: “Ghost GDP”. Imagine a world where headline nominal GDP prints mid-to-high single-digit growth and productivity booms at rates unseen since the 1950s, yet the human-centric economy completely withers. This is Ghost GDP - economic output that vividly registers on national accounts and corporate balance sheets, but never actually circulates through the real economy.
The core mechanism driving this phenomenon is the fundamental decoupling of economic production from human labor. The report illustrates this structural break perfectly: a single AI GPU cluster in North Dakota can now generate the economic output previously attributed to 10,000 white-collar workers in Manhattan. While aggregate output remains high, the velocity of money essentially flatlines. The reason is simple: machines have a marginal propensity to consume of exactly zero. They do not buy discretionary goods, pay for services, or take out mortgages. As a result, the human consumer economy - which historically accounted for 70% of total US GDP - is structurally starved of the income necessary to sustain demand.
What emerges is a negative feedback loop known as the “Human Intelligence Displacement Spiral”. As AI capabilities improve, companies require fewer workers, leading to mass white-collar layoffs and heavily reduced consumer spending power. To combat the resulting margin pressure, corporations funnel their record profits directly back into capital expenditures - specifically, more AI compute - rather than distributing it as human wages. In Citrini’s hypothetical June 2028 timeline, the unchecked progression of this loop results in a 10.2% official US unemployment rate and a massive 38% peak-to-trough drawdown in the S&P 500. Perhaps most alarmingly, labor’s share of the national GDP suffers its sharpest decline on record, plummeting from 56% in 2024 down to just 46%.