Why graduates aren’t AI-ready: Six frictions revealed in new AWS-Pearson study on education to workforce gaps

This article presents findings from a joint AWS-Pearson study on why graduates lack AI readiness for the workforce.

• Study surveyed 2,700+ learners, educators, and employers across six countries
• Six systemic frictions impede education-to-work transition: pace, connection, capability, governance, experience, skills
• Over half of employers cannot find graduates with required AI skills
• Faculty readiness is a major barrier to student AI preparedness
• Access to AI tools alone does not close the skills gap
• Optimal AI-ready graduates need applied judgment, ethical reasoning, and collaboration skills
• Framework inverts frictions into desired outcomes for institutional improvement
• Employers should co-produce talent through shared governance and co-designed curricula
• Students should build digital portfolios demonstrating AI-integrated project experience
• Country-specific reports coming in following months

The research provides a diagnostic framework for higher education leaders and employers to identify and address specific barriers preventing graduates from entering the AI-ready workforce.