There's a persistent myth that AI tools are for engineering students. In practice, some of the highest-leverage AI use cases are in commerce, arts, and humanities — fields where AI adoption is still catching up to the opportunity.
Commerce and business students
AI is already reshaping finance, marketing, and operations. Understanding how to use AI for analysis, forecasting, and content isn't optional anymore — it's table stakes for entry-level roles.
Arts and humanities students
Research, writing, and content creation are some of the areas where generative AI has the most immediate, obvious impact — and where these students often have the strongest underlying skills to direct it well.
Design students
AI tools now handle a huge amount of production work, freeing design students to focus on the judgment and taste that AI still can't replicate — but only if they know how to work with the tools instead of against them.
The real risk isn't AI replacing non-technical students
It's technical peers becoming AI-fluent while non-technical students opt out, assuming it's "not their subject." That gap compounds fast — and it's the easiest one to close.