Economist dismisses AI unemployment prophecy as unrealistic
Julius Probst of Recruitonomics rejected Citrini Research's forecast of 10% U.S. unemployment by 2028 as unrealistic, citing inevitable fiscal and monetary intervention. He noted that while AI threatens routine white-collar jobs, it is boosting demand for skilled construction labor, with tech firms spending $700 billion on data centers. The May employment report showed payrolls rising 172,000 with unemployment at 4.3%, defying expectations of an oil-shock-induced slowdown. Probst argued the Fed may need to hike rates at the upcoming June 16-17 meeting to address inflation persisting above 2%.

*this image is generated using AI for illustrative purposes only.
A viral forecast predicting 10% U.S. unemployment by June 2028 is extremely unrealistic, according to Julius Probst, a senior economist and director of research at Recruitonomics, part of Appcast Inc. The scenario, originally conceived as a thought experiment by Citrini Research, suggested artificial intelligence would drive joblessness higher and drag the S&P 500 down 38%. Probst argued that an unemployment shock of that magnitude would be an unstable equilibrium, leading to a collapse in consumption and stock markets that would inevitably be met with fiscal stimulus and rate cuts.
The Citrini Research memo had previously triggered a market sell-off, contributing to a roughly 13% single-session drop in International Business Machines Corp. (NYSE: IBM). Citadel Securities later published a rebuttal arguing the scenario misread macro fundamentals. Probst aligned with this view, emphasizing that the current labor market is showing resilience rather than falling apart.
Probst categorized the workforce into three groups regarding AI's impact. Workers possessing AI skills are seeing job postings rise roughly threefold over the past couple of years. Conversely, routine white-collar roles in customer service, sales, and entry-level finance face genuine displacement. Blue-collar and manual jobs requiring physical presence remain insulated and may benefit from broader economic growth.
Technology companies are projected to spend roughly $700 billion on U.S. data centers this year, driving construction demand in remote parts of Texas and Arizona where skilled labor is scarce. This investment is narrowing the wage gap that has favored desk jobs for decades. While wages for routine white-collar work have stagnated in inflation-adjusted terms, compensation for construction and skilled manual roles is rising strongly.
The labor market's strength was evident in the May employment report, which showed payrolls rising 172,000, more than double the consensus estimate, with unemployment holding steady at 4.3%. This resilience comes despite Brent crude averaging about $107 a barrel in May with the Strait of Hormuz still closed. Probst attributed the economic stamina to loose fiscal policy, record stock prices, a wealth effect from high asset values, and the ongoing AI investment wave offsetting the energy shock.
Attention now turns to the Federal Open Market Committee meeting on June 16-17, the first chaired by Kevin Warsh. The Consumer Price Index rose 4.2% in May, the hottest reading since 2023, yet markets anticipate no policy move. Probst suggested that if the Federal Reserve is serious about its 2% inflation target, it should probably hike rates, noting that inflation has run above target for five straight years.
How will the Federal Reserve's potential rate hikes under Kevin Warsh impact the current AI investment wave?
What long-term strategies should workers in routine white-collar roles adopt to avoid displacement by AI?
Will the wage gap between desk jobs and manual labor continue to narrow as data center investments grow?

































