New research from Pearson and Amazon Web Services has found that while AI use among US college students is widespread, a significant disconnect remains between how students engage with AI tools and the skills employers actually need from graduates entering an AI-driven workforce.
The study, based on more than 500 survey responses from learners, employers, and higher education leaders, found that 69% of US employers believe AI has made university education more essential rather than less. While 80% of students reported actively using AI tools, only 23% said they received instruction involving hands-on, applied use in real-world contexts. The research also found limited collaboration between institutions and employers, with only 10% of higher education leaders reporting frequent engagement with industry, and just 12% of employers rating graduates as excellent at evaluating AI-generated outputs.
Pearson US CEO Art Valentine said genuine AI readiness depends on practical experience rather than mere access, arguing that institutions and employers need to shift focus from exposure to applied learning. Valerie Singer, general manager of global education at AWS, said the priority for employers was evidence that graduates can apply AI to solve real problems, rather than simply having experimented with the tools.
The report introduces an AI Readiness Friction Framework identifying six barriers slowing the transition from education to employment, and recommends embedding AI into coursework, strengthening faculty training, and building stronger feedback loops between curricula and workforce demands.
