"The 2028 Global Intelligence Crisis" is a speculative financial scenario published by Citrini Research (with Alap Shah) on citriniresearch.com on 2026-02-22 (Source: Raw Sources/THE 2028 GLOBAL INTELLIGENCE CRISIS.md). Framed as a "macro memo from the future" dated June 2028, it models the macro-economic consequences of rapid AI-driven white-collar job displacement. The authors present it as a thought exercise grounded in financial mechanics and current AI capability trajectories rather than a forecast.
Central argument
The memo's core thesis is a self-reinforcing feedback loop the authors call the "intelligence displacement spiral," which they describe as having no natural brake. As AI capabilities improve, companies lay off white-collar workers; the savings are redirected into more AI as an operating-expense substitution rather than a capital-expenditure addition; displaced workers downshift to lower-paying jobs, compressing wages economy-wide; consumer spending, which the memo attributes 65% to the top 20% of earners, contracts; and the resulting demand contraction pressures more firms to cut costs through AI, accelerating the cycle.
Underpinning the scenario is what the authors term the "intelligence premium unwind." Their argument is that human intelligence has been the scarce input throughout modern economic history, and that institutions including labor markets, mortgage underwriting, and the tax code were designed for a world in which that assumption held. AI makes intelligence abundant, which on the memo's account requires a repricing of the entire economy.
Sector-by-sector disruption
The memo maps the spiral onto specific sectors. In software-as-a-service, it argues that in-house AI builds undercut renewals, with ServiceNow's seat-based pricing model hit mechanically as clients' own headcount shrinks. In intermediation, it contends that AI agents eliminate the friction that sustained travel booking, insurance renewals, financial advice, tax preparation, and real estate commissions, describing these as businesses built on exploiting human cognitive limitations. In payments, it argues that agentic commerce routes around 2–3% card interchange fees via stablecoins, threatening Mastercard, Visa, and card-focused banks. It also projects that India's $200B IT-services export sector collapses as AI coding agents undercut its cost arbitrage.
Financial contagion pathway
The scenario traces how sectoral disruption could propagate into financial markets. It describes the $2.5T private-credit market as heavily exposed to private-equity-backed SaaS deals underwritten at revenue multiples that assume perpetual growth, with Zendesk's $5B ARR-backed loan defaulting as an illustration. It points to an insurance–private-equity nexus in which alternative asset managers (Apollo/Athene, KKR/Global Atlantic, Brookfield/American Equity) funded illiquid private credit with annuity deposits, arguing that this "permanent capital" is in fact household savings structured as insurance. It describes the $13T residential mortgage market as built on the assumption that 780-FICO white-collar borrowers will maintain income across a 30-year term, an assumption the memo argues AI disruption structurally impairs. The authors use the term "ghost GDP" for output that appears in national accounts but never circulates through the real economy because machines do not spend on discretionary goods.
Policy and political dimension
The memo's 2028 scenario includes federal receipts running 12% below Congressional Budget Office projections because the tax base is built on human labor, and labor's share of GDP declining from 56% in 2024 to 46% in the 2028 scenario. It describes proposed legislative responses including a "Transition Economy Act" and a "Shared AI Prosperity Act," the latter a sovereign wealth fund funded by an AI inference compute tax. The authors depict political paralysis driven by left-versus-right framing that prevents a timely response, alongside "Occupy Silicon Valley" protests at Anthropic and OpenAI.
Reception and limitations
The authors explicitly state that the piece is a scenario, not a prediction. The memo's assumed pace of displacement, which reaches 10.2% unemployment by mid-2028, requires rapid AI capability gains and adoption. The authors do not seriously engage the counter-argument associated with the "normal technology" thesis that diffusion is inherently slow and that benchmarks overstate real-world impact.
Relationships
- depends-on: AI Labor Disruption — the memo operationalizes Amodei's abstract displacement risk into specific financial mechanisms.
- contradicts: AI as Normal Technology — it challenges the slow-diffusion thesis by modeling rapid adoption driven by competitive pressure.
- related: Techno-Federalism — it illustrates how federal policy paralysis combines with structural economic change.
- contradicts: EO 14365 — it challenges the AI Action Plan's statement that "AI will complement, not replace" workers.