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An essay, "The 2028 Global Intelligence Crisis," posits that AI will create "ghost GDP"—economic output that benefits compute owners but never circulates to consumers through wages. This concentration of wealth could lead to a deflationary spiral, a scenario taken seriously by trading desks.
Instead of a universal productivity boom, AI will eliminate repetitive white-collar jobs. This will shrink the consumer base, reducing overall demand and creating a powerful deflationary force, further entrenching a feudal economic structure with fewer 'lords' and more 'serfs.'
Beyond simple productivity gains, AI will eliminate the need for entire service-based transactions, such as paying for basic legal documents or second medical opinions. This substitution of paid services with free AI output can act as a direct deflationary headwind, a counterintuitive effect to the typical AI-fueled growth narrative.
The memo posits a scenario where AI boosts white-collar productivity, causing layoffs and reduced consumer spending. This forces companies to cut costs further with more AI, creating a downward economic spiral. This highlights a significant "left-tail risk" for investors and the economy.
For the first time in history, AI could create a world where our ability to produce goods and services outstrips our capacity to consume them. This poses a fundamental challenge to traditional economic models built on scarcity and resource allocation.
A paradox of powerful AI is that it can be 'GDP-destroying.' When AI substitutes for a service you would have paid for (e.g., hiring a contractor), it creates immense personal value but removes a transaction from the economy. This makes GDP a poor metric for AI's true economic contribution, which may be understated.
Contrary to the consensus view of explosive AI-driven growth, AI could be a headwind for near-term GDP. While past technologies changed the structure of jobs, AI has the potential to eliminate entire categories of economic activity, which could reduce overall economic output, not just displace labor.
As companies use AI to do more with fewer people, productivity gains boost profits but don't create jobs at the same rate. This "ghost GDP" concentrates wealth among a few and risks a long-term decline in broad-based consumer spending, as the generated value isn't dispersed to human workers.
The Citrini essay posits that as firms replace labor with AI, spending shifts from wages (fueling consumption) to data centers. This inflates GDP metrics without creating broad economic circulation, resulting in a hollowed-out 'ghost GDP' that doesn't reflect real consumer health.
The report posits a bearish scenario where hyper-efficient AI leads to widespread job loss, which in turn crushes consumer spending and forces companies into further layoffs, creating a downward economic spiral where being 'too good' is actually bad.
As AI gets exponentially smarter, it will solve major problems in power, chip efficiency, and labor, driving down costs across the economy. This extreme efficiency creates a powerful deflationary force, which is a greater long-term macroeconomic risk than the current AI investment bubble popping.