Pearson and AWS Identify AI Readiness Gap in U.S. Higher Education

  • Pearson and AWS released research showing a disconnect between student AI tool use and employer needs, with only 23% of U.S. college students receiving hands-on AI instruction.
  • 69% of U.S. employers believe AI makes university education more essential, yet just 12% rate graduates as 'excellent' at evaluating AI outputs.
  • Only 10% of higher education leaders report ongoing engagement with employers, limiting curriculum alignment with workforce needs.

The research highlights a critical gap in preparing graduates for an AI-driven economy, where exposure to AI tools does not translate into workplace-ready skills. This disconnect threatens the competitiveness of U.S. graduates in a global market increasingly valuing applied AI expertise. Pearson and AWS aim to bridge this divide by promoting collaboration between educators and employers.

Curriculum Alignment
How higher education institutions will adapt curricula to better reflect employer needs in AI applications.
Faculty Capability
Whether universities can strengthen faculty capability to consistently integrate AI-enabled teaching.
Employer Collaboration
The pace at which institutions and employers build stronger feedback loops to improve workforce readiness.