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Home » AI is hitting paychecks, not payrolls: study

AI is hitting paychecks, not payrolls: study

MANILA, PHILIPPINES — Wages in jobs with high artificial intelligence (AI) exposure grew 6.7% more slowly after 2023, with no statistically significant employment effect, establishing that AI’s primary labor market impact is a paycheck penalty rather than headcount reduction, according to an Apollo Global Management study of 321 occupations.

Apollo finds 6.7% wage penalty in AI-exposed roles

Torsten Slok, chief economist at Apollo Global Management, said “the employment effect so far is insignificant, and that the visible damage is to pay,” as the study found wages suppressed most sharply in the bottom income quartile.

The Apollo analysis of 321 occupations, co-authored by analyst Sania Edlich, found the lowest-paid quartile absorbed a 10.7% wage gap against no significant effect in the top quartile.

Bureau of Labor Statistics payroll data showed a 0.2% job decline in 18 directly AI-exposed occupations against 0.8% overall payroll growth, confirming employment held while wages compressed. Apollo estimated the annual wage impact at $28 billion across the United States labor market.

AI’s 6.7% wage penalty shows where the cost is landing before headcount data can capture it.

Lower-wage workers absorb sharpest AI pay compression

Diane Gherson, formerly chief human resources officer at IBM, noted companies are “quietly hiring fewer people into high-attrition, lower-wage roles,” a mechanism that compresses wages without producing the layoff announcements that labor tracking systems can capture.

The second wage quartile absorbed a 5.4% penalty and the third 4.0%, with the compression pattern consistent across roles where AI can substitute for discrete tasks without eliminating the position or triggering a layoff announcement.

Service workers faced the sharpest relative wage decline at 24.3%, the steepest among all occupational categories studied, though Apollo noted the service worker sample was smaller than other groups in the analysis.

BLS employment data show the job count in AI-exposed occupations is not collapsing, but the wage trajectory for workers in those roles is measurably diverging from the broader labor market.

For business process outsourcing (BPO) and customer experience operators, the 6.7% wage penalty reframes AI’s competitive threat as pricing pressure on knowledge-worker rates, not a wave of headcount elimination.

The wage compression Apollo documents shifts the AI risk frame for offshore operators from headcount replacement to pricing pressure on the knowledge-worker categories that directly overlap with BPO delivery, back-office, and customer experience roles.

BPO operators that absorb AI tooling costs within managed-service rates, rather than passing wage compression to offshore workers, hold a structural advantage as direct-hire organizations quietly erode pay at the bottom quartile.

Leading BPO operators with stable AI-augmented compensation structures are positioned as the more resilient staffing model in a market where AI is compressing wages before it eliminates jobs.

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Disclosure: Outsource Accelerator uses AI tools in the backend of its editorial workflow. Every article is reviewed and verified by a human editor before publication.

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