L. K. Simon and B. Arslan argue in Revelio Labs that AI may widen the wage divide

L. K. Simon and B. Arslan argue in Revelio Labs that AI may widen the wage divide

Revelio Labs authors L. K. Simon and B. Arslan published this analysis on December 2, 2025. They argue that wage and job-posting trends are pulling the US labor market further apart: demand and salary growth are stronger at the top, while lower-paid roles have seen weaker wage gains and fewer postings. Their data shows the sharpest wage growth in roles they describe as having limited automation and high labor intensity. They also report that occupations with higher average AI-adoption rates tend to have lower wage growth at the bottom of the distribution, a relationship they say is much weaker among higher-paid roles. The authors interpret this pattern as contradicting the idea that AI is primarily a white-collar shock: they argue that early automation pressures may be suppressing wage growth in lower-paid work involving predictable, repetitive tasks. They conclude that high-income earners continue to benefit from demand and rising wages while lower-paid workers face fewer opportunities and slower gains; as AI adoption accelerates, they say these divergences may grow sharper. The evidence presented links AI-adoption rates and wage growth, but does not establish that AI adoption caused the wage patterns.

Publication: 9f8942e6-cf18-ae3a-9775-5a396d0ad0fd

attribution — pass: This is a single Revelio Labs article. The page's own citation names L. K. Simon and B. Arslan as authors, so the reading's attribution to them, published by Revelio Labs, matches. The source's assertions are kept attributed throughout.

Simon, L. K., & Arslan, B. (2025, December 2). The Wage Divide is Widening Again and AI May Be to Blame. Revelio Labs.

summary — pass: The reading clearly states the actors, the job-posting and salary divergence, the AI-adoption correlation and the authors' challenge to the white-collar-shock narrative. Terms are understandable without specialist background. 'May be suppressing' slightly softens 'data suggests ... are disproportionately suppressing'. The closing forecast also omits the source's firmer 'there will be once again strongly increasing wage inequalities'. Neither change alters the position. The question about within-occupation persistence follows reasonably from cross-occupation correlation evidence.

As AI adoption accelerates, these divergences may grow sharper and there will be once again strongly increasing wage inequalities.

date — pass: The reading gives December 2, 2025, which matches the UTC calendar day of originalPublished and the page's citation. The page was modified in October 2026. However, the cited body text is internally dated to 2025: the figures are credited to Revelio Labs, December 2025, and the text refers to 2025 stagnation, so it is plainly part of the original. The 2025 forecast is reported as a forecast. The kind is publisher-page, so no archive disclosure is needed.

Cite this article Plain text Revelio Labs, "The Wage Divide is Widening Again and AI May Be to Blame," December 2, 2025.

support — pass: Every claim matches the source text. The source reports high-wage postings up about 150% and low-wage postings down over 50%. It reports top-quartile salaries up more than 30% versus about 10% for the bottom quartile. It describes a strong negative correlation at the bottom and a weaker one at the top, the contrarian white-collar thesis, and the forecast of sharper divergence. The causation caveat is properly framed as a limitation rather than a source claim. The cited passages appear original despite the later page modification.

Low wage jobs earning USD 30,000 (~ average wage in bottom wage quartile) and below have decreased steadily by over 50% since January 2023.

media — pass: No media was selected. No verified candidate media were supplied, so the absence of media is appropriate.