AI has entered every corner of our lives. From apps that finish your sentences to tools that generate playlists or images in seconds, consumer AI feels instant, fun, and everywhere. Its power is in accessibility—you can try it once and see value immediately.
Enterprise AI is different. It doesn’t chase virality or quick wins. It operates in high-stakes environments where precision, trust, and accountability matter more than speed. I’ve seen this firsthand in conversations with CFOs and CPOs—what excites them isn’t a flashy demo, but whether the system can stand up to compliance, risk, and millions in spend.
UI/UX for thought, research and feedback. Not necessarily action first.
For years, software interfaces were built to help users do things. Fill a form, run a report, complete a task. User input is at the forefront and heavily workflow driven. Though some of those concepts still are applicable, I think we will start seeing a new shift in the UI that is purpose built for AI Apps.
With the advent of LLMs, reasoning and reinforcement learning models. There will be a shift in the user interaction with the new AI first systems. User role is not going to be anymore action focused, user will be collaborating with machine in trying to make a decision, uncover something or as simple as provide feedback.
This shift in the role will demand a new UX design that will make us move past the traditional UI which is rigid for the AI world. It's not anymore about buttons, heat spaces and rigid visuals anymore. New applications will demand a UI that need to be more fluid and flexible.
