For years, “AI skills” was shorthand for software engineers and data scientists. That framing is now outdated. New data from the Bipartisan Policy Center shows that the fastest-growing demand for AI skills in the United States is no longer concentrated in the technology sector. Accountants, bankers, management consultants, and staffing professionals are now being asked for the same advanced AI capabilities that were once considered purely technical territory.

Job postings requiring AI skills grew 144% year over year as of mid-2026. Total job postings, across all fields, grew just 7%. The gap between those two numbers is the clearest possible signal about where the economy is heading.

Professional Services Are the New Frontier

The BPC analysis found that demand for AI skills across professional services industries, including employment placement agencies, accountancy offices, commercial banks, and management consulting firms, is growing at comparable or faster rates than in technology itself.

This makes sense when you think about it. Technology companies were early adopters because they built the tools. Professional services firms are now the ones deploying them at scale, and they need staff who can use them intelligently. A senior accountant who understands how AI models process financial data is more valuable than one who does not. A banker who can evaluate whether an AI credit scoring model is making sound decisions is more employable than someone who treats the output as a black box.

The shift is not subtle. It is showing up in hiring decisions, salary bands, and promotion criteria across industries that had nothing to do with software five years ago.

The Wage Premium Is Compounding

The financial incentive to build AI skills has grown sharply. The wage premium for AI-skilled workers was 25% in 2024. It climbed to 57% in 2025. In 2026, it sits at 62%.

That is not a rounding error. It means that two workers doing the same job, one with demonstrated AI skills and one without, can expect to earn meaningfully different salaries, and the gap is widening each year.

The BPC data also shows that AI skills demand has spread across every US state, every metropolitan area, and even micropolitan areas. This is not a coastal or urban phenomenon anymore. A small accounting firm in a regional city and a law firm in a major metro are both advertising for roles that require workers to understand and apply AI tools.

Human Skills Still Matter, and That Is the Whole Point

Here is what makes this data genuinely interesting rather than alarming. Employers are not simply looking for people who can operate AI tools. They want workers who can apply those tools strategically, communicate insights effectively, and solve problems that require both human judgment and machine capability.

The BPC report is explicit about this. The highest-value AI-skilled workers are not the ones who know the most about model architecture. They are the ones who combine technical literacy with domain expertise and communication skills.

That pairing, AI knowledge plus professional judgment, is what employers in professional services value above all else. And it is exactly what most AI training programmes have historically failed to deliver.

What This Means for Business

If you run a professional services firm, a financial services business, or any company where knowledge work is the core product, this data has direct implications.

The hiring market is bifurcating. Workers who have invested in AI skills are commanding a premium you will be asked to pay. The alternative is not a cheaper hire; it is a less capable one.

Your existing team is the fastest path forward. Recruiting AI-skilled workers into established professional roles is expensive and slow. Upskilling people who already understand your business, your clients, and your processes is faster and the returns compound.

The skills your team needs are learnable. The demand is for applied AI literacy, not computer science degrees. Learning how to use AI tools to accelerate analysis, draft reports, surface insights, and support decisions is within reach for most working professionals.

Doing nothing is the riskiest strategy. If AI skills demand is growing at 144% per year while your team’s capabilities stay flat, the gap between what you can deliver and what your competitors can is not staying constant. It is widening every quarter.

Enterprise DNA exists precisely to close this gap. Our learning platform has helped more than 220,000 data and AI professionals build practical skills across Power BI, Python, SQL, and AI tools. We have also seen this pattern play out across hundreds of businesses: the teams that invest in structured upskilling pull ahead of those that leave capability development to chance.

If you want to understand what an AI upskilling programme looks like in practice, explore Enterprise DNA’s business learning plans or start with an individual account.

The data is clear. The window to act ahead of the curve is closing.