Gartner: Firms Without AI People Strategy Risk Losing Top Talent

Gartner warns organizations that do not have a comprehensive AI people strategy could lose top talent this year, based on results from its Global Labor Market Survey. The consultancy found 27% of executives report a formal AI people strategy and 20% say their workforce is AI-ready. Roughly half of firms could see their most talented employees move to competitors that emphasize workforce enablement rather than just supplying AI tools.

Gartner cautioned many leaders are treating basic access to AI as equivalent to workforce transformation, calling that gap an “enablement illusion” that hides risks and reduces returns on investment. Swagatam Basu, a senior director analyst in Gartner’s HR practice, described the issue as a mismatch between adoption metrics and true worker readiness.

The survey measured links between AI proficiency and workplace outcomes. Employees who use AI effectively across multiple tasks are about twice as likely to be highly productive, 2.3 times more likely to deliver high-quality work, and 3.2 times more likely to generate process improvements. At the same time, 19% of employees reported that AI saved them no time, indicating uneven results from current programs.

Shadow AI use is widespread and complicates governance. Gartner found 88% of employees with enterprise AI access also use personal AI tools for work. Those hybrid users are 1.7 times more likely to report significant time savings than users of only enterprise solutions, but Gartner warned that hybrid use raises corporate data risk and increases attrition among critical staff. Diana Sanchez, a senior director analyst in Gartner’s HR practice, emphasized the link between hybrid use, time saved and data and retention risks.

The report shows an uneven focus on senior staff: 73% of highly productive AI users are managers or executives. Gartner said more junior employees, who handle many tasks susceptible to automation, often lack adequate training and guidance.

Employee outlook on AI also affects adoption. Workers with a positive view of AI are 3.4 times more likely to be highly productive. Gartner recommended clearer communication about how roles and skills will change, defined norms for human-AI collaboration, and regular trust pulse surveys to monitor sentiment and surface concerns early.

Findings from HR services firm Randstad reinforce the human-skills gap in AI efforts. Randstad reported that more than a quarter of technology professionals say their organizations are not doing enough to develop skills, and 52% are seeking training independently. Michael Morris, global head of platform and talent at Randstad Digital, urged that upskilling be funded, architected, measured and continuously improved and treated as business-critical infrastructure within technology stacks.

Gartner’s report recommends sustained investment in workforce enablement for the full staff, stronger governance of shadow AI, and proactive measures to address employee concerns to support retention and productivity gains.