When you're negotiating salary and want AI-backed data
The Move
Use AI to gather comp data, but strip your identity from the prompt. Always cross-reference and use the higher number as your floor.
The Script
"Based on market data from [source], the 75th-percentile range for this role in [city] is [$X–$Y]. I'd like to discuss how my [specific experience/results] positions me at the upper end of that range."
Your AI Prompt
You are a compensation analyst. Using only public market data (BLS, Levels.fyi, Payscale, Glassdoor) — not assumptions about the candidate — give the 75th-percentile salary range for [role] in [city] with [X] years' experience. Show your sources.
⚠️ Always verify the salary number against the actual sources cited — LLMs sometimes hallucinate data points.
Why This Works
The gap is in the anchor, not in what happens when you ask. Roussille (QJE 2024) tracked more than 110,000 candidates: when a platform prefilled expected salary with the market median, all gaps went to zero and women who asked for more received no fewer offers. Mazei et al. (2015) found that under low-ambiguity conditions the negotiation gap reverses in women's favor. Sorokovikova et al. (GeBNLP 2025) tested four commercial LLMs and found 27.8% of paired comparisons produced a significant salary gap favoring men — so the AI you ask for a number carries the same bias. Anchoring to public market data bypasses both the AI bias and the social penalty.
Research Behind This Move
The Role of the Ask Gap in Gender Pay Inequality
Roussille · Quarterly Journal of Economics 139(3), 1557–1610 · 2024
A Meta-Analysis on Gender Differences in Negotiation Outcomes and Their Moderators
Mazei, Huffmeier, Freund, Stuhlmacher, Bilke & Hertel · Psychological Bulletin 141(1), 85–104 · 2015
Gender Bias in LLM-Generated Salary Recommendations
Sorokovikova, Chizhov, Eremenko & Yamshchikov · GeBNLP 2025 / ACL (arXiv:2506.10491) · 2025
preprintAsking an AI for Salary Negotiation Advice Is a Matter of Concern
Nghiem et al. · PLOS ONE (PMC11805401) · 2024
Social Incentives for Gender Differences in Negotiation
Bowles, Babcock & Lai · Organizational Behavior and Human Decision Processes · 2007