The AI Training Gap: Why Companies Are Building Faster Than Workers Can Learn

Companies are rolling out AI tools at full speed—but their workers aren’t keeping up. A new report from Randstad Digital puts a name to this growing problem: the “productivity paradox.” Sixty-three percent of companies have invested in AI training over the past year, yet 52% of tech professionals say they still needed to train themselves because company programs couldn’t keep pace with AI changes.

The result? Organizations are building platforms faster than employees can use them. Seventy-four percent of tech workers said they felt pressure to upgrade their own skills just to stay relevant. And nearly 1 in 4 workers worldwide have already left jobs because their employers didn’t offer structured upskilling opportunities.

Key Takeaways

• The bottleneck isn’t the technology. According to Michael Morris, global head of platform and talent at Randstad Digital: “Enterprise AI isn’t failing at the model level; it’s failing at the implementation layer.” When tools outpace the people using them, you get technical debt—not ROI.
• AI upskilling is now business infrastructure. Morris frames it plainly: upskilling “can no longer be treated as an HR program or professional development perk. It’s business-critical infrastructure, part of your technology stack, not separate from it.”
• Workers are self-directing their own training. A parallel report from Skillsoft shows a surge in practice-based AI learning and skills validation as employees take matters into their own hands.

The core question for business leaders has shifted: it’s no longer “how much are we spending on AI?” but “how fast are our teams actually learning to work with it?” Closing that gap may be the most important AI investment companies make in 2026.

Read the full article on HR Dive.