Payscale Survey Finds 74% of Employers Expect AI to Reshape Headcount and Hiring

Most employers in North America and beyond expect artificial intelligence to change how many people they employ and who they hire over the coming year, according to a new survey from Payscale, a compensation data and software company. The findings, released on November 11, show workforce leaders adjusting team structures and chasing AI skills while their pay and job-design practices lag behind the technology.

The research drew on an August survey of 500 human resources, compensation and talent leaders and 1,000 full-time employees. It reported that 74% of organizations expect AI to influence their headcounts and hiring plans in the next 12 months, and the same share said they plan to invest in AI-related upskilling over that period.

Pay Has Not Followed the Skills Push

The survey identified a gap between what workers contribute with new AI abilities and what they are paid on the back of them. Among employees who describe themselves as fluent in AI tools, 56% said they believe they should earn more, but only 16% said they received a raise after upskilling.

Payscale's chief compensation strategist, Ruth Thomas, said in a statement that AI is changing the value employees bring to their roles but compensation practices have not kept pace. The company's HR analytics point to a wider problem: employers are asking for new capabilities without redrawing the pay structures that reward them.

Recruiting pressure helps explain the spending on training. Two in five organizations, or 40%, said they are struggling to find talent with AI skills, which has pushed upskilling up the agenda for HR and talent teams even as budgets remain tight.

Job Descriptions and Salary Bands Trail Adoption

Beyond pay, the survey suggested that basic workforce infrastructure has not caught up with how quickly AI tools have been introduced. At least 48% of organizations reported that job descriptions, market benchmarks and salary structures have fallen behind their AI rollout.

There is also a mismatch in expectations about what saved time should produce. While 61% of employees said AI saves them up to 10 hours of work each week, only 19% said that time goes to other strategic, high-value work. By contrast, 26% of employers said they expect staff to complete more work in the same amount of time when using AI.

For working professionals, the results suggest that AI skills are becoming a hiring criterion before they become a reliable route to higher pay. For HR and talent leaders, the task is to connect training programs to documented role changes, refreshed job descriptions and updated salary bands so that internal moves and external offers reflect the new work.

What to Watch Next

Compensation specialists will be watching whether the share of employers funding raises after AI upskilling rises in the next round of surveys, and whether organizations rewrite salary structures as adoption spreads. Also worth tracking is whether the expected effect on headcount translates into fewer roles, redesigned jobs or simply different hiring profiles, since the survey measured expectations rather than completed layoffs or hires.

The findings land as employers balance cost pressure with a shortage of AI talent. Payscale's data indicates that many organizations are still deciding how to pay for the skills they say they need, a question that will shape hiring plans, retention and promotion decisions through the coming year.