Employers and Universities Must Work Together to Close the AI Readiness Gap
What new research reveals about graduate readiness in the age of AI
A Growing Gap in Graduate Readiness
As colleges welcome students back this fall, the question is no longer whether students will use AI. They already are. The more important question is whether we are helping them use it well—at the point where education transitions to work
That is where the readiness gap shows up. Employers are changing what they expect from entry-level talent, and too many are struggling to find graduates ready for AI-enabled work.
Research from Pearson and AWS shows the disconnect clearly: more than three-quarters of higher education leaders believe their graduates meet employer expectations. Yet just over half of employers say they struggle to find candidates with the AI skills they need in a professional environment.
Access is not the problem. Students are using AI for their academic work. Universities are bringing it into teaching and learning. Employers are investing in it across their organizations.
The problem is experience: employers cite lack of hands-on skills with workplace tools (42%) and the gap between theory and practice (41%) as the two biggest barriers to hiring graduates. We should take that seriously.
Closing that gap will require stronger, earlier links between education and work.
The Changing Nature of Entry-Level Work
As AI takes on more routine tasks, the value of human capability rises. Employers still need technical fluency, but they also need judgment, adaptability, communication and problem solving. Separate research from Pearson and Cognizant shows that many organizations expect early-career roles to involve supervising, managing and working alongside AI systems. That expectation will only keep evolving as AI advances.
So, AI readiness cannot mean simply knowing how to prompt a tool, monitor an agent or push a document through an LLM. It means knowing where AI creates value, where it falls short, and when human judgment has to lead. That is a different kind of readiness—and it is built through practice, not exposure alone.
Bringing Employers into the Learning Journey
Too often, employers engage with higher education when recruiting begins. By then, much of the learning that shapes career readiness has already happened.
The better opportunity is to move earlier. Employers can support industry projects, offer work placements, contribute real-world case studies and help students tackle genuine business challenges. Students get practice. Universities stay close to changing workplace needs. Employers build stronger talent pipelines.
This cannot be occasional or symbolic. AI is moving too quickly for that. Students need chances to practice before the stakes are real, and educators and employers need to stay in active conversation about what readiness now means.
Investing in the Future Workforce
I believe students will meet this moment if we give them the chance. The task belongs to all of us: employers, educators and learning companies like Pearson. We need to help students gain meaningful experience, help universities adapt with evidence, and help employers build a workforce with both technical fluency and human judgment. Our job is to build the bridge that gets them there.
Art Valentine has more than 30 years of leadership experience in assessments, testing and technology. Prior to his 20 years at Pearson serving as a senior leader of Pearson Professional Assessments and as Managing Director of Pearson Clinical Assessment, Art worked at global technology organizations including Accenture, Perot Systems and Promissor, which was acquired by Pearson in 2006. Art earned his BS in Mathematical Science/Computer Science from the University of North Carolina Chapel Hill.
