From The Next Web · Amy Vidor · · 2m
Training alone won't fix AI's ROI problem
Companies adopting AI see performance gains plateau. Learning professionals struggle to measure impact without agreed outcomes, data access, and organizational alignment.
In brief
Companies adopting AI see performance gains plateau. Learning professionals struggle to measure impact without agreed outcomes, data access, and organizational alignment. A survey of over eight hundred workplace learning professionals across more than twenty five countries found that without agreed-upon success…
The AI adoption plateau
Companies adopt AI, performance gains eventually plateau, and leaders wonder about return on investment from their spending. Experts disagree on how to fix this gap.
L&D teams face the same problem
Learning and development professionals supporting AI adoption plans struggle to measure the ROI of AI themselves. A survey of more than eight hundred workplace learning professionals across more than twenty five countries examined this challenge.
Speed becomes the default metric
Seventy five percent of respondents named faster content creation as the clearest impact from AI adoption. Only eleven percent named improved on-the-job performance as an impact.
The measurement gap widens
Only thirty five percent of L&D teams consistently measure on-the-job performance, compared to seventy two percent who measure participation and completions.More than one in five cite lack of agreed-upon success metrics as their biggest barrier.
Organizational roadblocks limit testing
Seventy three percent of L&D teams told by leadership to use AI still need departmental or cross-functional permission to pilot new tools.Fifty three percent point to organizational constraints as their biggest barrier to proving impact.
Data lives in disconnected systems
L&D teams struggle to access data needed to evaluate AI's impact. Data lives in disconnected systems such as a Learning Management System, an HR Information System, a survey tool, and an AI video platform.
Three structural changes needed
Leaders must align on what AI should accomplish and how usage is rewarded.They must invest in data integration before scaling solutions.They must partner with L&D on AI strategy to free time for strategic capability building.
Training closes the gap
About a third of L&D teams report performance gains from AI.These teams share traits like freely piloting solutions and using AI to evaluate their work.
What it means
A survey of over eight hundred workplace learning professionals across more than twenty five countries found that without agreed-upon success metrics and data access, AI adoption produces faster content creation but not improved job performance.
