# 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.
- Title: Training alone won't fix AI's ROI problem · The Next Web
- Summary: Companies adopting AI see performance gains plateau. Learning professionals struggle to measure impact without agreed outcomes, data access, and…
- Keywords: ai adoption, learning and development, roi measurement, workplace training, organizational alignment, ai governance, performance metrics, The Next Web
- Source: The Next Web — https://thenextweb.com/news/training-alone-cant-close-ai-adoption-roi-gap
- Author: Amy Vidor
- Published: 2026-11-11T21:22:04+00:00
- Read time: 2 min
- Topics: ai adoption, learning and development, roi measurement, workplace training, organizational alignment, ai governance, performance metrics, technology, startups
## 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.
## Key takeaway

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.