As AI adoption surges across industries, a concerning trend is emerging: the growing AI skill divide. Our analysis of PwC's 2026 Global Workforce Hopes and Fears Survey reveals that 64% of workers used AI on the job in the past year, a 10-point jump. However, the availability of training on AI has not kept pace, with the share of workers who say they have the learning and development resources they need falling from 59% to 51%.
This disparity is particularly concerning for employers, as it may lead to a talent exodus. The survey found that 29% of the "front-runners" - those with scarce skills and strong AI capabilities - are very or extremely likely to change employers in the next year. This group makes up 14% of the workforce, making them a critical talent pool for organizations.
To mitigate this risk, HR executives and recruiters must prioritize upskilling and reskilling their current workforce. This may involve investing in AI training programs, providing access to online learning platforms, and fostering a culture of continuous learning. By doing so, employers can not only retain their top AI performers but also stay ahead of the curve in an increasingly AI-driven job market.
In addition to upskilling, employers must also consider the wage premiums associated with AI skills. As the demand for AI talent continues to rise, organizations that fail to offer competitive compensation packages may struggle to attract and retain the best candidates.
Ultimately, the growing AI skill divide presents a significant challenge for employers. By acknowledging this trend and taking proactive steps to address it, organizations can not only mitigate the risk of talent loss but also position themselves for long-term success in an AI-driven economy.