In order to help AI learn, Thought Industries has just released AI Wave. Why it might have a bigger effect on business education than on higher education
People who have had to go through a required corporate training module will understand a certain kind of frustration. It’s a forty-minute course. The writing was done three product cycles ago. After going through some slides and taking a quiz that doesn’t test anything, you close the browser. It doesn’t stick. Nobody expected it to.
For decades, that experience—boring, impersonal, and having nothing to do with the work being done—has been the standard way to teach customers and employees. There’s a chance that no one company has fully figured it out. With the release of AI Wave on April 22, Thought Industries made a serious attempt. The company says that this new launch series is based on the “Learning & Intelligence era.” Omnichannel Learning and Conversational AI Learning, the two most important features, can already be used. As you watch the announcement, you get the sense that this is a real attempt at something new.
The main change is pretty simple, but it has more effects than the product page makes it seem like. Thought Industries doesn’t want to send customers to a separate learning portal to find an answer. Instead, they want to bring the answer to the customer where they are already, like in a product, a search engine, or a conversational AI interface. A customer who is having trouble with a feature doesn’t have to look through a course catalog. When they type in a question in natural language, they get an answer that comes straight from the company’s training materials. Everything can be searched, queried, and brought to life: videos, PDFs, SCORM files, articles, and more.
The signal layer below is what’s interesting. Every search, question, and pause is turned into information. The system looks for those patterns and shows each customer what they are most likely to need next, not just what they asked for. That’s a difference that matters. In traditional learning management systems, completions are recorded. At the very least, this one keeps track of intent.
It’s still not clear how well it works on a large scale, and the claims—30% less support costs, 40% more revenue, and 40% faster content creation—are backed up by marketing numbers. But you should pay attention to the architecture itself. It makes sense for a company’s educational content to be searchable on ChatGPT, Google, or Claude instead of being hidden away in a private portal. This shows that the company knows how people actually find information these days.
This is something that universities have had trouble with for years. The lecture-to-exam pipeline gives people credentials, but it doesn’t usually give them fluency. The same idea was used in corporate training, but it was made worse by taking away the credentials but keeping all the friction. Thought Industries seems to be betting that people learn when they really need to, not when they have time to do so. That’s not a new idea, but it’s harder than it sounds to build infrastructure around it.
There is also a tool for Claude integration that lets teams write and update their learning catalogs without having to switch platforms. A small thing that tells you a lot. Those companies that are cutting down on the number of tabs people need to have open are moving the fastest right now.
Whether AI Wave lives up to its promises will depend on how businesses use it and whether their content is good enough for intelligent surfacing. “Garbage in, garbage out” means that no amount of AI can fix weak or old content. But the way things are going feels right. Corporate education has spent years figuring out how to get the highest completion rates. Someone finally seems to be putting understanding first instead of speed.
