Saudi Universities Boost AI Readiness Through Higher Investment

Saudi Arabia’s higher education sector is making significant strides in preparing students for an AI-driven economy, with 88% of university leaders reporting moderate to substantial investment in artificial intelligence initiatives, according to a new study by Pearson and Amazon Web Services (AWS).

The report, AI Readiness: Building the Bridge from Higher Education to Work, suggests that Saudi Arabia is emerging as one of the strongest performers globally in connecting education outcomes with workforce requirements. The findings align closely with the Kingdom’s Vision 2030 ambitions to build a knowledge-based economy powered by advanced technologies and skilled local talent.

Employers See Major Improvement in Graduate Workplace Readiness

The research reveals strong confidence among Saudi employers in the quality of recent graduates.

Nearly 90% of employers in the Kingdom said graduate workplace readiness is either “much better” or “somewhat better” than it was five years ago. This figure is significantly higher than the cross-market average of 60%.

The study also found that 94% of Saudi higher education leaders engage regularly with employers. This close collaboration is helping universities align academic programmes with rapidly evolving industry needs.

As a result, institutions are increasingly integrating AI-related skills, digital literacy, and emerging technologies into their learning frameworks.

Students Feel Confident but Want More Practical AI Experience

While AI adoption in classrooms continues to expand, the report identifies a gap between access to technology and real-world application.

Around 43% of Saudi learners described themselves as highly prepared for an AI-enabled workforce. However, one-third of students said they need more hands-on experience and workplace-relevant AI training.

Researchers noted that many learners have access to AI tools and instruction. Yet employers increasingly value practical problem-solving, adaptability, and the ability to apply AI effectively in workplace settings.

This suggests the next phase of AI education will focus less on awareness and more on applied capability.

AI Readiness Depends on Stronger Links Between Learning and Work

According to the report, AI readiness develops when education and employment systems work together. Access to technology alone is not enough.

Pearson and AWS argue that universities must create structured pathways that allow students to practise, demonstrate, and validate AI skills before entering the workforce.

The study arrives at a time when artificial intelligence is reshaping entry-level jobs worldwide. Consequently, employers are placing greater emphasis on skills that combine technical knowledge with human judgment and decision-making.

Pearson: Saudi Arabia Has Built Strong Momentum for AI Talent Development

Commenting on the findings, Tony Lteif, Global Revenue Officer for English Language Learning and Saudi Country Ambassador at Pearson, said the Kingdom has established a strong foundation for AI readiness through sustained investment in education and workforce development.

He noted that the next challenge lies in converting national ambition into practical workplace skills that employers can immediately utilize.

Lteif added that Pearson and AWS are working together to support institutions through learning solutions, assessments, and credentials designed for an AI-enabled economy.

AWS Calls for Greater Focus on Applied AI Skills

Kim Majerus, Vice President of Global Education and U.S. State & Local Government at AWS, said the findings highlight an opportunity to transform AI tool usage into genuine workplace capability.

She emphasized that future-ready graduates will require more than technical knowledge. They must also develop adaptability, responsible AI practices, and practical experience to succeed in modern workplaces.

AWS continues to collaborate with education providers globally to strengthen AI literacy and workforce preparedness.

Report Introduces Framework to Address AI Readiness Challenges

To help institutions and employers close existing gaps, the report introduces the AI Readiness Friction Framework.

The framework identifies six barriers that can slow progress between higher education and employment:

Pace Friction

The speed of workplace AI adoption often exceeds the pace of curriculum updates and institutional decision-making.

Connection Friction

Limited feedback between employers and educational institutions can weaken alignment between workforce demands and learning outcomes.

Capability Friction

Differences in faculty AI expertise can affect how consistently AI concepts are integrated into teaching.

Governance Friction

Unclear AI policies may encourage informal or unregulated AI use, creating risks for both students and employers.

Experience Friction

Students often have access to AI tools but lack structured opportunities to apply them in real-world situations.

Skills Friction

Graduates may possess technical knowledge but still fall short in areas such as collaboration, judgment, and adaptability.

Saudi Arabia Positioned to Convert AI Ambition into Workforce Capability

The report concludes that Saudi Arabia has already established many of the foundations needed for AI workforce readiness. Strong institutional investment, employer engagement, and student confidence have created positive momentum.

However, continued collaboration between universities and industry will be essential to ensure graduates gain the practical experience required in an increasingly AI-powered economy.

The full report, AI Readiness: Building the Bridge from Higher Education to Work, is available in both Arabic and English.