A new benchmark report from eLearning Industry reveals a disconnect between what corporate learning and development buyers want from AI-powered tools and what vendors actually build.
The report draws on survey data from over 500 participants spanning both sides of the learning technology market. Researchers examined expectations around artificial intelligence capabilities in educational software, comparing buyer demand against vendor development priorities.
The gap matters because it affects what tools reach the market and how effectively they serve workplace learning. When vendors build AI features nobody asked for, companies waste budget on unused functionality. When they ignore what buyers actually need, adoption stalls.
The survey captured perspectives from two critical groups. Learning and development professionals and procurement leaders represent the buyer side. They make purchasing decisions and set requirements for platforms their organizations use. Vendors and edtech developers represent the supply side. They choose which AI features to prioritize and which to defer.
The mismatch exists partly because vendors chase buzzwords. Large language models and generative AI dominated tech headlines starting in late 2022. Some vendors rushed AI capabilities into products before understanding market demand. Others followed competitor moves without assessing whether customers valued those specific implementations.
Buyer priorities differ. Corporate learning teams want AI that handles administrative work, personalizes content recommendations, and identifies skills gaps. They want practical returns on investment. Some vendors instead emphasize flashy capabilities like AI chatbots for Q&A that require heavy customization and deliver modest impact.
The benchmark report provides specifics about which AI capabilities buyers prioritize most, which features remain underutilized, and where vendors are investing unnecessarily. This data helps L&D professionals ask smarter questions when evaluating learning platforms. It also signals to edtech companies where genuine market opportunity exists.
Understanding expectation gaps shapes smarter purchasing and product development. Companies that align their AI roadmaps with documented buyer needs gain competitive advantage. Those chasing hype risk building features nobody wants.