New Data On Jobs in AI: AI Skills Pay 62% More.

Jobs in AI are searched by hundreds every month. But the real insight isn’t necessarily newly created jobs in AI. It’s understanding how to take the job you already have, and augment it with AI. And if you know how to work with artificial intelligence, the market is paying for it. The latest PwC Global AI Jobs Barometer press release shows that the wage premium for AI skills has hit 62 percent globally. Two years ago, it sat at 25 percent.

That is more than double.

Employers face a severe talent shortage, and payroll reflects the squeeze. But the headline number hides a deeper split in the labour market. PwC’s data points to a clean division in how AI affects careers and what employers should look for when hiring or upskilling.

The Two-Track Labour Market

On the first track, you have professionalised roles. These are jobs where people use AI as a force multiplier. They already know their domain inside out, and they use AI tools to speed up research, automate the tedious parts of their day, and push out better work. Because they produce more value, the market rewards them. Their salaries are growing 42 percent faster than standard positions.

The best-paying jobs in ai go to people who can do more than open a chatbot. They go to people who can ask better questions, judge weak outputs, fix mistakes fast, and tie the tool back to a real commercial outcome. A finance lead cuts reporting time in half. A recruiter screens faster without missing nuance. A learning lead builds stronger content in less time. The tool helps, but human judgment does the heavy lifting.

On the second track, you have roles where AI simply lowers the entry barrier. If a task used to require specialist technical skill and now a basic AI tool can do eighty percent of it, the role changes. The baseline capability required drops, and wage growth stalls because the work is no longer scarce.

You see this across everyday office work. Basic copy drafting. Simple image clean-up. Standard spreadsheet summaries. Routine research. The task exists, but the scarcity disappears. When the hard part of a role becomes easy for everyone, individual value moves elsewhere. People rely on deeper subject knowledge, sharper decision-making, and stronger stakeholder handling.

Blanket statements about AI taking jobs miss the point. The central question is whether someone uses AI to multiply their own expertise or whether AI replaces the specific skill they used to sell. In one version, AI makes a capable person faster and better. In the other, AI turns a once-specialist task into a basic one.

Leadership, Training, and Skill Obsolescence

For HR leaders, the path forward starts internally. Building internal talent pipelines beats waiting for unicorns on the open market. That foundation rests on frontline managers. Many teams still struggle with unclear expectations and weak coaching. Our piece on the accidental manager shows why first-line leadership often breaks skill growth before it starts.

Companies talk about AI training as if a short workshop solves the gap. It does not. People learn tools when they test them against real work, receive feedback from a manager, and see a practical reason to continue. If managers cannot coach that process, staff drift back to old habits.

Structure also shifts. Fewer management layers and higher output expectations alter career ladders, a dynamic explored in our report on the great unbossing. Teams need fewer people whose main job is moving information around and more people who can interpret, decide, and act.

Workers feel this pressure acutely. Our reporting on skill obsolescence shows how fast fear of falling behind builds across office floors. Employees know software changes faster than corporate training programs. They also know the market rewards people who master these systems.

Turning Capability Into Compensation

When staff members see direct links between skill development and earnings, retention climbs. AI capability is no longer a resume badge. It’s a core compensation driver.

Workers want careers where digital fluency translates to financial growth. Organizations providing the training capture the returns. Employers pay more when AI skills improve output, speed, and decision quality.

The companies winning the talent race treat AI literacy as an operational capability, link training to career progression, and give teams room to experiment. Leadership teams must stop treating AI skill as an abstract future need. Tie training to specific workflows and pay decisions. Reward the people who turn those capabilities into measurable gains.

PwC’s 62 percent wage premium finding shows the market sees real value. The 42 percent faster salary growth in professionalised roles shows where that value sits. Build skill inside the business, support it through managers, and pay for it when it delivers, proving that the best jobs in AI are the jobs that exist already, improved by AI savvy employees.