Wall Street traders skimmed research notes, glanced at overnight futures, and scrolled through financial bulletins that arrive in their inboxes well before dawn on a chilly February morning email New York. The majority of those memos silently vanish into the digital stack. This one didn’t.
Citrini Research issued a research on Substack with an almost theatrical title and an even more bizarre thesis. It outlined a future in which millions of white-collar occupations would be silently replaced by artificial intelligence, resulting in what the letter referred to as a “doom cycle” of declining salaries, collapsing consumer spending, and—even more unsettling—”Ghost GDP.”
| Category | Information |
|---|---|
| Event | Viral AI market memo |
| Date | February 2026 |
| Research Source | Citrini Research |
| Key Amplifier | Michael Burry (Investor known for “The Big Short”) |
| Central Claim | AI-driven white-collar job losses triggering economic slowdown |
| Market Impact | Volatility across tech and software stocks |
| Notable Market Moves | IBM −13%, IGV ETF −4.8%, Nvidia +1.2% recovery |
| Concept Introduced | “Ghost GDP” – economic output detached from employment |
| Investor Reaction | Rotation from growth tech to industrial and energy stocks |
| Reference Website |
Simply defined, the theory proposed that economic productivity might increase despite a decline in human employment. Businesses use AI technologies to enhance production and profits, but fewer employees get paid. Consumption decreases. Growth turns hollow. At least when I initially read it, it seemed like something from science fiction.
Burry, the investor who became well-known for foreseeing the collapse of the housing market in 2008 and was later dramatized in The Big Short, possesses an odd capacity to transform arcane financial concepts into market discourse. Traders took note when he posted the memo online. Managers of portfolios also took note.
The change was apparent on all trading displays by midday. Long regarded as the jewels of the AI era, enterprise software equities suddenly appeared vulnerable. Companies with high valuations were immediately under pressure, and the IGV software ETF fell by almost 4.8% intraday.
One of the most significant responses was seen at IBM. In a single session, the IT giant’s shares dropped by around 13%, the biggest daily decline since 1999. It became evident that something more profound than typical volatility was taking place when the price chart changed in real time. The message had appealed to a concern that investors seldom ever talk about in public.
The narrative surrounding artificial intelligence has been overwhelmingly positive for many years. Productivity is increased with AI. Innovation is accelerated by AI. AI generates whole new industries. Silicon Valley conference stages and corporate America’s earnings calls are dominated by those topics. Beneath the excitement, however, has always lurked a more subdued question.
What would happen if AI became overly effective?
Widespread automation, according to the Citrini document, could subtly eliminate white-collar jobs, starting with industries most vulnerable to software-driven productivity. The professionals who drive the contemporary service economy are lawyers, analysts, programmers, and consultants.
The scenario can overstate how quickly things are changing. The pace of technological changes is frequently slower than anticipated. However, upon further examining the memo, something intriguing becomes apparent. It is not presented as certain by the author. Rather, it seems more like a caution.
Another trend appeared on trading desks as tech stocks fell. Money started shifting. Attention was drawn to energy corporations. New flows were drawn to industrial enterprises. Rarely the stars of speculative markets, utilities suddenly become desirable. The change was bluntly described by one trader as a rotation from “bits to bolts.”
Surprisingly, the chip business fared better than anticipated. Throughout the session, Nvidia and AMD rebounded from their initial weaker opening. In fact, Nvidia had increased by about 1.2% from its intraday lows at the end. It sounded almost contradictory. Why do the manufacturers of AI devices continue to be resilient if AI is the issue?
It’s possible that investors think artificial intelligence’s infrastructure will continue to be profitable despite any negative economic effects. Or maybe the market just needed some time to consider the ramifications. There was a feeling of intellectual whiplash when one observed the reactions on the trading floor.
Investors were applauding the inevitable growth of AI-driven productivity just a few months ago. They were now being forced to think about the opposite result—productivity increasing so quickly that the economy finds it difficult to absorb it—by a single study report.
At the heart of that discussion is the concept of “Ghost GDP.” Employment and economic growth have historically moved in tandem. Businesses recruit more people when they create more. Consumption is fueled by wages as they move across the economy. For years, economists have depended on this feedback loop.
That presumption is called into question by artificial intelligence. Imagine a company using automated technologies that can complete the same duties immediately in place of thousands human analysts. Production increases. Expenses decrease. Profits increase. However, the employees who once held those positions are no longer compensated.
The economic picture becomes more hazy when you multiply that scenario across industries. Almost 70% of US economic activity is driven by consumers. Spending habits could change significantly if a sizable portion of white-collar professions depart. The “doom cycle” described in the memo starts there: automation lowers income, income lowers demand, and demand weakens corporate growth.
It is still quite unclear whether this result will indeed occur. There is some comfort in history. Technological revolutions frequently result in the elimination of some jobs and the creation of completely new job categories. Many manual jobs were eliminated by the Industrial Revolution, but it also created whole new industries.
However, it’s evident from the market response that investors are struggling with a new factor: the rate at which AI is developing. Once developing over decades, technology today changes in a matter of months.
It’s possible that the Citrini document will eventually be lost in the vast collection of bold financial forecasts. Wall Street has witnessed such instances in the past. However, something noteworthy was revealed by its influence. Beneath the enthusiasm about AI, there is a more subdued fear of what that future may truly entail.
