A new benchmark report from eLearning Industry reveals a disconnect between what learning and development professionals expect from AI-powered tools and what vendors are actually building.
The report surveyed over 500 participants across the learning technology market, including both buyers and sellers. It maps the so-called "AI expectation gap" in edtech, comparing what L&D leaders say they need with the capabilities vendors are prioritizing.
The stakes matter. Learning departments increasingly turn to AI to personalize training, automate administrative tasks, and improve employee skill development. If vendors build features nobody wants, companies waste budget. If L&D teams don't get what they're asking for, training programs suffer.
The survey captures demand signals from both sides. Buyers state their priorities: which AI features would improve training outcomes, reduce costs, or save time. Vendors report which capabilities they're developing. The report identifies where these priorities align and where they diverge.
These gaps typically emerge for predictable reasons. Vendors sometimes chase technical feasibility or investor hype rather than actual user needs. Buyers sometimes request features that sound appealing but lack clear ROI. Market research that surfaces these misalignments helps both sides make smarter decisions.
For educators and training leaders, the benchmark offers concrete data about competing products. It shows which vendors listen to customer demand and which chase trends. For learning technology companies, the report functions as market intelligence. It reveals where unmet demand exists and which feature requests cut across multiple buyers.
The report comes as AI adoption in learning technology accelerates. Schools and corporate training programs increasingly experiment with generative AI for content creation, assessment, and tutoring. Clear evidence about what actually works and what users want becomes more valuable as the market matures.
eLearning Industry published the full report on its platform. The benchmark data helps stakeholders navigate a crowded market where AI claims often exceed actual capabilities.