Workers increasingly turning to self-directed AI training
Most enterprises are pouring money into artificial intelligence but failing to prepare the people expected to use it, according to a new report released Tuesday by Randstad Digital.
The report, titled The AI Capability Gap: Why Technology Investment Fails Without Talent Infrastructure, found that the biggest obstacle to successful AI-led transformation is not the technology itself – it is the human element. Randstad Digital described the resulting imbalance as a “Productivity Paradox,” a critical gap in which companies invest in platforms faster than they build the workforce capability to use them.
The report draws on Workmonitor research, which surveyed more than 27,000 individuals and 1,225 employers across 35 markets, alongside data from more than three million global job postings.
While 63% of enterprises have invested in AI training over the past year, the effort is falling short of what workers need. The report found that 74% of technology professionals believe they must upgrade their skills to remain relevant, while 52% are seeking training independently because internal programmes cannot keep pace with the rate of technological change. Another 27% said their organisations are still not doing enough to develop their skills.
The consequences are tangible. Nearly one in four technology professionals globally have left jobs specifically because their employers failed to provide structured upskilling opportunities. The trend was most pronounced in North-Western Europe, where 30% of tech workers reported leaving roles because of a lack of development opportunities, followed by Eastern Europe at 27%, Asia-Pacific at 26%, and North America at 24%.
“Enterprise AI isn’t failing at the model level; it’s failing at the implementation layer,” said Michael Morris, global head of platform and talent at Randstad Digital. “If you increase the velocity of your tools without increasing the capacity of your engineers to govern and optimise them, you get technical debt at scale.”
The report argues that traditional learning models – built around annual budgets and one-off workshops – are no longer adequate in an era in which AI capabilities evolve weekly. It recommends that organisations shift toward what it calls “Continuous Capability Infrastructure,” treating learning as a mission-critical component of the technology stack rather than a one-time programme.
“Upskilling can no longer be treated as an HR program or professional development perk,” Morris said. “It’s business-critical infrastructure, part of your technology stack, not separate from it.”
