AI is shaping more than paychecks. It's shaping job choices. Resume Now's AI Pay Preference Report finds that 67% of U.S. employees are more likely to accept a job at a company that uses AI in pay decisions.
Support comes with boundaries: Most are comfortable with AI having some influence, not full control, and they still expect managers to make the final call when disputes arise.
Key Findings
- 67% say they'd be more likely to accept a job at a company using AI in compensation decisions.
- 42% would allow AI to decide up to 25% of their total compensation; 39% would allow up to half.
- 90% say they are at least somewhat comfortable with AI influencing pay.
- Over one-third of employees now trust machines more than people to decide pay and bonuses.
- 96% would support AI in compensation if it guaranteed competitive, market-based pay.
Recruiting Impact: AI as a Talent Magnet
The survey data explores whether AI use in pay decisions changes how candidates evaluate offers. The findings indicate that AI can be a draw for many applicants, but a sizable minority remains cautious.
- 67% are more likely to accept a job at a company using AI to determine pay.
- 32% are less likely.
- 1% say it makes no difference.
What this means: For job seekers, AI in compensation signals market benchmarking and an attempt to reduce favoritism. The biggest gains come when employers explain how AI informs offers and where human oversight applies. With clear criteria, manager review, and an appeals path, candidates can compare offers with more confidence and negotiate specifics such as pay bands, location adjustments, and bonus rules.
Who Workers Trust With Pay Decisions
Trust in compensation decisions is split between human judgment and algorithmic input. Managers remain the primary authority, yet a sizable minority favors AI for perceived consistency.
- 59% trust managers more.
- 34% trust AI systems more.
- 7% are unsure.
What this means: Employees value clarity and consistency. Organizations earn trust by explaining how AI benchmarks are built, how often market data is refreshed, and who has final say if systems and managers diverge. For candidates and employees, it helps to look for published pay bands, criteria for bonuses, and an appeals process that involves a human decision maker.
Comfort Levels & Limits on AI Authority
Responses indicate broad comfort with AI in compensation, paired with clear expectations that its role be bounded and overseen by managers. The figures below show where employees draw the line on comfort, authority, and tie breakers.
- Comfort with AI in pay decisions:
- 90% are at least somewhat comfortable (47% are very and 43% are somewhat comfortable).
- 9% are somewhat uncomfortable.
- 1% are very uncomfortable.
- How much compensation workers would allow AI to decide:
- 42% would allow up to 25%.
- 39% would allow up to 50%.
- 13% would allow more than half.
- 6% would allow none.
- If a manager and AI disagreed about pay:
- 66% think the manager's decision should take priority.
- 34% say AI should take priority, showing algorithms already carry weight with a sizable minority.
The following is a visual representation of the data above:

What this means: Employees tend to support AI as an input rather than the sole decision maker. Trust grows when employers set clear caps on algorithmic authority, publish pay bands tied to market data, and keep managers as the final reviewers with an appeals path. When assessing offers, employees can look for written guardrails describing how AI informs pay, how often market benchmarks are updated, and how disagreements are resolved.
The Big Sell: Competitive Pay
Support for AI in compensation is strongest when it proves pay is fair and grounded in the market. Clear benchmarking and transparent criteria turn AI from a black box into a credibility booster.
- 96% favor AI involvement if it guarantees competitive, market-based pay.
- 4% oppose AI in compensation decisions under any condition.
What this means: Employees respond to AI that validates fairness rather than replaces judgment. Credibility grows when employers publish pay bands, cite market data sources and refresh cycles, and explain how managers review AI-informed recommendations. For candidates and employees, it helps to look for plain-language explanations of benchmarks, location adjustments, and bonus criteria so decisions feel consistent and defensible.
Methodology
The findings provided were gathered through a survey conducted with 884 U.S. workers on August 28, 2025. Participants were asked a range of questions about their views on the role of AI in compensation, including its fairness, comfort levels with adoption, oversight and transparency expectations, and its potential influence on career decisions. Participants responded to various question types, including yes/no questions, open-ended responses, scale-based agreement questions, and multiple-selection answer formats.
About Resume Now
Resume Now is a powerful resource dedicated to helping job-seekers achieve their potential. Resume Now's AI resume builder is a cutting-edge tool that makes creating a resume fast, easy, and painless. Resume Now has been dedicated to serving job seekers since 2005. Alongside its powerful AI resume builder and stylish ready-to-use templates, it also features free advice for job seekers at every career stage, guides for every step of the hiring process, and free resources for writing cover letters. Resume Now is committed to supporting job seekers and workers alike and has conducted numerous surveys related to the experience, trends, and culture of the workplace. These surveys have been featured in Business Insider, CNBC, Fast Company, Yahoo!, Forbes, and more. Keep up with Resume Now on LinkedIn, Facebook, X, and Pinterest.
For press inquiries, contact Alexa Kalechofsky at alexa.kalechofsky@bold.com.
Keith is a Certified Professional Resume Writer (CPRW) and trusted media source in the career industry with over a decade of experience helping job seekers stand out.
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