AI job losses could trigger 2028 economic crisis, Citrini report warns

NEW YORK, UNITED STATES — A newly modeled scenario analysis from Citrini Research warns that unchecked artificial intelligence (AI) adoption could drive United States unemployment above 10% by mid-2028, trigger a 38% stock market decline, and threaten the $13 trillion mortgage market.

Framed as a “thought exercise from the future,” the report outlines a self-reinforcing “intelligence displacement spiral” that eliminates white-collar jobs faster than the global economy can adapt.

Citrini notes, “In every way, AI was exceeding expectations, and the market was AI. The only problem. [The] economy was not.”

“AI capabilities improved, companies needed fewer workers, [white-collar] layoffs increased, displaced workers spent less, [and] margin pressure pushed firms to invest more in AI.”

Corporate AI adoption threatens mass white-collar job losses

According to The 2028 Global Intelligence Crisis, agentic coding tools emerging in late 2025 could enable companies to replicate mid-market Software-as-a-Service (SaaS) products internally, leading enterprises to cancel or renegotiate software contracts. 

The scenario describes how industry leaders like ServiceNow might see net new annual contract value growth decelerate from 23% to 14%, forcing the company to cut 15% of its workforce and invest savings into the same AI technology disrupting its business model. 

This pattern would likely extend beyond software, as every firm with white-collar cost structures adopts AI to maintain output with fewer employees.

The reflexive mechanism could accelerate as a displaced white-collar worker, a Salesforce Senior Product Manager earning $180,000 who ends up driving for Uber at $45,000, floods the service economy, compressing wages across sectors. 

Job openings might fall below 5.5 million, a 15% year-over-year decline, according to Indeed data, which shows postings collapsing in software, finance, and consulting. 

White-collar workers, who represent 50% of employment and drive roughly 75% of discretionary spending, would face structural income impairment.

However, it’s not just white-collar jobs. Littlebird.ai’s Alap Shah warns that even blue-collar workers could face significant challenges as the effects ripple across all sectors.

“If there aren’t white-collar jobs for them to relocate into, then they’re going to have to move into the gig economy and the blue-collar labor force. And so that puts pressure on the entire labor market, not just the white-collar one,” he explained in a TBPN podcast.

“Technological innovation destroys jobs and then creates even more,” Citrini stated.

AI agents could collapse the service and app economy

The analysis projects that by early 2027, AI agents handling consumer transactions could eliminate the habitual intermediation that underpins companies like DoorDash, whose business model relies on habitual app loyalty.

Agents would simultaneously check lots of delivery platforms to find the lowest fees, fragmenting markets that once relied on home-screen presence. 

Mastercard might see purchase volume growth slow to 3.4% year over year as agents route transactions around card interchange fees using stablecoins on Solana and Ethereum L2s.

This disruption would cascade through sectors built on human limitations. Insurance renewals dependent on policyholder inertia could collapse as agents re-shop coverage annually. 

Real estate commissions might compress from 2.5% to 3% to under 1% in major metros as AI agents access MLS data. 

Travel booking platforms, financial advice services, and routine legal work would face obsolescence as machines optimize for price and fit without fatigue or brand loyalty.

Financial vulnerabilities could spark a 2028 market crisis

The scenario warns that private credit markets could unravel as early as April 2027 if Moody’s downgrades $18 billion of PE-backed software debt across 14 issuers, citing AI-driven revenue disruption. 

A Zendesk default on a $5 billion direct lending facility—which would become the largest private credit software default on record—could expose how annual recurring revenue assumptions prove false as AI agents handle customer service autonomously. Major lenders, including Blackstone, Apollo, Blue Owl, and HPS, would possibly face significant losses.

The crisis would likely spread to insurers if New York and Iowa regulators tighten capital treatment for privately rated credit held by life insurers. 

Apollo’s Athene, Brookfield’s American Equity, and KKR’s Global Atlantic—which use annuity deposits to fund private credit investments—could see their structures challenged as underlying loans default. 

Meanwhile, the $13 trillion mortgage market is showing early signs of stress, with the Zillow Home Value Index potentially falling 11% year-over-year in San Francisco, 9% in Seattle, and 8% in Austin. 

In comparison, Fannie Mae flags elevated delinquencies in zip codes with over 40% tech and finance employment.

The report stressed, “As investors, we still have time to assess how much of our portfolios are built upon assumptions that won’t survive the decade. As a society, we still have time to be proactive.”

Citrini’s analysis warns that unchecked AI adoption could lead to widespread job displacement, economic instability, and a potential 2028 financial crisis, highlighting the urgent need for proactive measures to mitigate its far-reaching effects on employment and market systems.