A joint study by Pearson and Amazon Web Services found that more than half of employers worldwide cannot find graduates with needed AI skills, even though most university leaders believe they are meeting employer expectations. The research identified six structural friction points between higher education and workplace needs, from curriculum pace to faculty readiness. In Indonesia, where graduate unemployment rose to 6.23 percent in early 2025, the timing is particularly critical as new university funding is now tied to graduate employment.
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Pearson and Amazon Web Services surveyed over 2,700 students, educators, and employers across six countries and found that more than half of employers worldwide cannot find graduates with the AI skills they need. The research identified six structural friction points—in curriculum pace, governance, faculty readiness, education-employer alignment, and hands-on AI experience—that obstruct the path from classroom to career.
Why it matters
Nearly four in five university leaders believe they are meeting employer expectations, yet employers disagree, revealing a gap driven by how rapidly the workplace has changed. In Indonesia specifically, graduate unemployment rose to 6.23 percent in early 2025 even as the national rate fell, and the country's new Merdeka Belajar framework now ties university funding to graduate employment outcomes. Entry-level job postings are shrinking as AI takes over junior tasks, yet the World Economic Forum projects a net 78 million new jobs by 2030 for economies whose graduates are ready to fill them.
What to watch
Pearson and AWS have created the AI Readiness Friction Framework, a self-assessment tool that lets universities identify which of the six friction points—Pace, Connection, Capability, Governance, Experience, and Skills—most affects their own campus, along with concrete fixes for institutions and employers. The findings were presented at the Pearson Higher Education Forum at the JW Marriott Jakarta on July 9, 2026.
The disconnect between employer needs and what universities deliver reflects a fundamental timing problem: the workplace has transformed faster than academic institutions can adapt. Nearly four in five university leaders surveyed believe they are meeting employer expectations, yet employers report they cannot find graduates with the necessary AI skills. This gap is not merely a regional issue; the study spans six countries and identifies systemic barriers that operate across multiple dimensions—from how quickly curricula can be updated (Pace) to whether faculty themselves possess AI capability (Capability) to whether employers and universities communicate about what skills matter (Connection).
Indonesia's experience illustrates the stakes concretely. Graduate unemployment rose to 6.23 percent in early 2025 even as the national rate fell, suggesting that education and employment are misaligned in ways that affect young people directly. The Merdeka Belajar framework's decision to tie university funding to the IKU 1 employment metric means institutions now have a financial incentive to address the gap. At the same time, the global labor market is shifting: entry-level postings are shrinking as AI takes over junior tasks, yet the World Economic Forum projects a net 78 million new jobs by 2030 for economies whose graduates are ready. The implication is that universities that fail to close the AI skills gap risk losing both funding and the ability to prepare their graduates for the job market that is actually emerging.
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