AI tools are everywhere, so why do most people still use them like it's 2015?

"AI tools are everywhere, so why do most people still use them like it's 2015? Artificial intelligence now sits inside almost every tool you open, from search engines and office apps to browsers, phones, and creative software."

"On paper, adoption looks high. Millions of users already have these features available, often switched on by default, waiting inside menus most people rarely explore. Actual behaviour moves more slowly. Many users still write documents line by line, search the web the same way they did years ago, and complete tasks manually, even when the software suggests another option."

"The goal was never to replace creativity or talent, but to augment it, and that only works when people understand where the new capability fits into what they already do. In this article, we look at why AI tools are everywhere, yet everyday software use still feels stuck in the past. The real problem isn't access to AI, it's adoption."

"Access is no longer the barrier. What's missing is the moment when the user actually learns where the new feature fits into their existing workflow. Most software still expects people to figure that out on their own, which is why tools like WalkMe Learning Arc focus on teaching features within the application rather than sending users to separate documentation or training portals."

Artificial intelligence is embedded across many everyday tools, including search engines, office applications, browsers, phones, and creative software. Frequent updates add assistants, copilots, and generators, and many users already have these features enabled by default. Despite high availability, many people continue using software in older ways, such as writing documents manually, searching the web with familiar methods, and completing tasks without using suggested options. The main barrier is not access to AI but adoption, specifically the learning moment that shows how a new feature fits into a user’s existing workflow. Software often requires users to figure this out themselves, so in-app learning approaches aim to teach features directly within the application rather than relying on external documentation.

Read at TNW | Insights