This article digs into current compensation trends, especially the tricky goal of equal pay increases across organizations. It also explores how artificial intelligence (AI) is shaking up pay decisions, promotions, and performance management.
Mercer and Payscale findings show there’s a gap between the buzz about equality and what actually happens. Many companies are now leaning into differentiated, performance-based schemes that mix in market data and internal equity.
What the latest data says about equal pay raises
Mercer’s survey shows that only about 4% of U.S. employers use an equal-pay-increases approach. Earlier this year, Payscale reported that around 44% of employers were thinking about equal raises, but Mercer’s numbers suggest that interest didn’t really turn into action.
So, instead of giving everyone a raise across the board, organizations are tweaking pay strategies to focus on performance, market competitiveness, and internal fairness. It’s definitely a more nuanced, outcome-driven approach than just handing out blanket raises.
AI’s role in pay and career progression
Artificial intelligence is changing the way companies handle compensation strategy. There’s now a noticeable split between AI “super users”—the folks who really use the tools—and employees who mostly avoid them.
About 60% of business leaders say technology sits at the heart of their strategy. Some companies even tie AI usage directly to performance reviews and promotions. Google, for example, now factors AI use into software engineers’ reviews. Accenture’s CEO has even said that AI fluency is a must for moving up.
Still, not everyone’s on board. WalkMe’s survey found that 54% of employees skip over company AI tools, and about a third say AI just makes their work harder. But here’s the thing—those who do embrace AI often see real benefits. AI super users were about three times more likely to snag promotions and raises.
Moving toward fair, differentiated compensation
Some critics say that giving everyone the same raise just isn’t fair to high performers. If you think about it, shouldn’t pay reflect more than just equal treatment?
Experts argue that compensation ought to blend performance, market competitiveness, and internal equity. Employers really need to connect pay to actual outcomes and keep recognizing top contributors, so people know what matters most and what “value” even means in the first place.
- Define clear performance metrics that tie directly to business outcomes—otherwise, how do you justify paying people differently?
- Use market data to set pay ranges that are competitive, and try to avoid pay compression that frustrates everyone.
- Differentiate pay by performance instead of just tenure or job title.
- Incorporate AI contributions in evaluations, but only when they actually improve results in a measurable way.
- Maintain internal equity by making sure people who deliver similar value across roles are treated fairly.
- Communicate transparently about how pay and promotions work—otherwise, expectations get out of whack fast.
- Pilot and adjust AI adoption with some governance and by weaving it into pay policies.
- Recognize top contributors not just with pay, but through ongoing recognition programs that go beyond the base salary.
Here is the source article for this story: Companies are abandoning ‘peanut butter’ raises as pay-for-performance takes over the workplace in the AI era