New Pearson and AWS Research: The U.S. Helped Build the AI Economy. The Next Opportunity is Preparing Graduates to Thrive in it

Rhea-AI Summary

Pearson (NYSE:PSO) and AWS released U.S. research on AI readiness in higher education and the workforce. The study, based on 500+ survey responses, finds strong AI adoption by students but misalignment with employer needs, limited employer–university engagement, and low ratings of graduate AI evaluation skills.

The report highlights three priorities: embedding applied AI experience in learning, strengthening faculty capability, and building tighter employer feedback loops. It also introduces an AI Readiness Friction Framework with six barriers: pace, connection, capability, governance, experience, and skills friction.

News Market Reaction – PSO

+1.92%

+1.92% Session close to close

In the Jun 30 session, PSO gained 1.92%, reflecting a mild positive market reaction.

Data tracked by StockTitan Argus on the day of publication.

Market Context

This announcement deepens Pearson’s AI-readiness story with U.S.-specific Pearson–AWS research, high...

Analysis

This announcement deepens Pearson’s AI-readiness story with U.S.-specific Pearson–AWS research, highlighting skills gaps and a six-point friction framework. Investors may watch how these insights translate into concrete AI offerings and measurable education-to-work outcomes.

Key Figures

Survey responses: 500+ responses Employers valuing higher ed with AI: 69% Students using AI tools: 80% +4 more

7 metrics

Survey responses 500+ responses Learners, employers, and higher education leaders in the United States

Employers valuing higher ed with AI 69% U.S. employers who say AI makes university education more essential

Students using AI tools 80% U.S. college students reporting active use of AI tools

Students with applied AI instruction 23% Students receiving hands-on, applied AI use in real-world contexts

Leaders with frequent employer engagement 10% Higher education leaders reporting ongoing, frequent engagement with employers

Employers rating graduates excellent at AI evaluation 12% Employers rating U.S. graduates as excellent at evaluating AI outputs

AI readiness friction points 6 barriers Pace, connection, capability, governance, experience, and skills friction

Previous AI Reports

5 past events · Latest: May 28 (Positive)

Same Type Pattern 5 events

Date	Event	Sentiment	24h Move	Catalyst
May 28	AI curriculum modules	Positive	-0.7%	Launch of AI modules embedding practical skills across more than 20 disciplines.
May 05	AI efficacy data	Positive	+1.8%	Data showing AI-powered adaptive practice improves student mastery versus static practice.
Apr 13	Global AI skills research	Positive	+2.8%	Global Pearson–AWS research highlighting employer difficulty finding AI-ready graduates.
Mar 18	AI partnership (TCS)	Positive	-1.1%	Multi-year TCS partnership to deliver AI-powered learning and assessment at scale.
Dec 11	AI partnership (IBM)	Positive	+1.8%	Global IBM collaboration to build AI-powered personalized learning tools for enterprises.

24h Move is the share-price change in the day after each event; other market factors may also have contributed.

Pattern Detected

AI-related news for Pearson has generally driven modest positive average moves, though reactions have been mixed with several positive catalysts met by negative price responses.

Key Terms

ai readiness friction framework, cloud innovation centers

2 terms

ai readiness friction framework technical

"the report introduces the AI Readiness Friction Framework, which identifies six barriers"

A framework for measuring how ready an organization is to adopt artificial intelligence by identifying the everyday sources of resistance or slowdown across people, data, technology, processes and governance. For investors, it acts like a pre-trip checklist that reveals how fast and cheaply a company can roll out AI, how likely projects are to succeed, and where hidden costs or risks might reduce expected returns or competitive advantage.

cloud innovation centers technical

"Programs like the AWS Cloud Innovation Centers and Skills to Jobs Tech Alliance"

Cloud innovation centers are physical or virtual collaborative workshops where companies, technology providers and sometimes customers co-develop and test new software, services and data workflows using cloud computing tools. Think of them as a shared workshop that speeds prototyping and lowers the cost of trying new ideas; for investors, they signal a company’s focus on faster product development, potential cost efficiencies, and a pathway to revenue growth or competitive advantage.

AI-generated analysis. How Rhea-AI works. Not financial advice.

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HOBOKEN, N.J., June 30, 2026 /PRNewswire/ -- Pearson (FTSE: PSON.L), the world's lifelong learning company, and Amazon Web Services (AWS) today released new research showing that while the United States is a leader in AI innovation, there is more opportunity to prepare students with the skills needed to support an AI-ready workforce.

According to the research, employers place greater value on higher education in the age of AI, colleges and universities are adding more focus on AI, and adoption of AI tools is widespread among students in the United States. However, findings also reveal a disconnect across learning-to-work pathways. Student use of AI isn't consistently aligning with the skills and applications that employers need. 

The Data: High Potential, Clear Opportunity
The U.S. report, AI Readiness: Building the Bridge from Higher Education to Work in the United States, draws on more than 500 survey responses from learners, employers, and higher education leaders in the United States, as part of a larger global study.

The U.S. findings reveal a market with greater opportunity if the "frictions" that are slowing progress can be resolved. Key findings include:

• Employers are looking to higher education to build AI capability. 69% of U.S. employers believe that AI makes university education more essential, rather than less, in the age of AI.
• 80% of U.S. college students report actively using AI tools, yet only 23% receive instruction that includes hands-on, applied use in real-world contexts.
• Only 10% of higher education leaders report ongoing, frequent engagement with employers, limiting how effectively curriculum reflects current workforce needs.
• Just 12% of employers rate U.S. graduates as "excellent" at evaluating AI outputs, a skill increasingly essential as AI becomes embedded in decision making.
• Employers cite adaptability and communication/collaboration as key strengths of American graduates, signaling strong potential when paired with more applied experience.

Art Valentine, Pearson U.S. CEO said, "This research makes clear that AI readiness isn't built by access alone, it's built through real experience. We know U.S. employers value higher education's role in teaching AI, and that student use is widespread. The next phase is embedding AI into how students learn, so they're better prepared for work. That shift, from exposure to application, is where opportunity now sits for institutions, employers, and the broader ecosystem. We have to work together, quickly and with intention."

Valerie Singer, General Manager of Global Education at AWS said,"Students are using AI, but usage alone isn't what employers are looking for. They want evidence that graduates can apply AI to solve real problems. The gap isn't access, it's the distance between exposure and proof. Programs like the AWS Cloud Innovation Centers and Skills to Jobs Tech Alliance give students hands-on experience so they leave with skills they can show, not just tools they've tried. That's how we make sure what students learn actually prepares them for the workforce."

The Solution: From Access to Applied Readiness

The report identifies three priorities for higher education and employers:

• Move from AI exposure to applied experience by embedding AI into projects, assessments, internships, and discipline-specific workplace scenarios.
• Strengthen faculty capability, so AI-enabled teaching becomes a consistent part of the student experience, not dependent on individual instructors.
• Build stronger employer feedback loops so curriculum, assessment, and credentials reflect current workforce needs.

To support this work, the report introduces the AI Readiness Friction Framework, which identifies six barriers slowing progress across the education-to-work pathway: pace, connection, capability, governance, experience, and skills friction. By identifying where the transition from learning to work is breaking down, the framework gives institutions and employers a practical way to prioritize action, close readiness gaps, and help students turn AI exposure into workplace-ready capability.

By combining Pearson's expertise in learning, assessment, and workforce skills with AWS's deep insight into how AI is built, deployed, and governed, the research offers a shared framework for institutions and employers to align around a clearer, more practical definition of AI readiness — and a more direct path to delivering it.

For more information and to view the full U.S. report, please visit pearson.com/power-of-learning/ai-readiness.html.

About Pearson 

At Pearson, our purpose is simple: to help people realize the life they imagine through learning. We believe that every learning opportunity is a chance for a personal breakthrough. That's why our c. 18,000 Pearson employees are committed to creating vibrant and enriching learning experiences designed for real-life impact. We are the world's lifelong learning company, serving customers in nearly 200 countries with digital content, assessments, qualifications, and data. For us, learning isn't just what we do. It's who we are. Visit us at plc.pearson.com.

About Amazon Web Services

Amazon Web Services (AWS) is guided by customer obsession, pace of innovation, commitment to operational excellence, and long-term thinking. By democratizing technology for nearly two decades and making cloud computing and generative AI accessible to organizations of every size and industry, AWS has built one of the fastest-growing enterprise technology businesses in history. Millions of customers trust AWS to accelerate innovation, transform their businesses, and shape the future. With the most comprehensive AI capabilities and global infrastructure footprint, AWS empowers builders to turn big ideas into reality. Learn more at aws.amazon.com and follow @AWSNewsroom. 

Media contacts

Pearson

Sami Miller: sami.miller@pearson.com

AWS Communications

Imani Pope-Johns: ipopej@amazon.com

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SOURCE Pearson

FAQ

What did Pearson (NYSE:PSO) and AWS announce on June 30, 2026 about AI readiness?

Pearson and AWS announced new U.S. research on AI readiness in higher education and work. According to Pearson, the study analyzes learning-to-work pathways, highlighting gaps between student AI use, employer expectations, and curriculum design across colleges and universities.

What are the key findings of Pearson and AWS AI readiness report for U.S. graduates and employers?

The report finds U.S. employers value higher education more in the AI era but see skills gaps. According to Pearson, 69% say AI makes university more essential, yet only 12% rate graduates as excellent at evaluating AI outputs, a key workforce competency.

How widely are AI tools used by U.S. college students in the Pearson and AWS 2026 study?

The study reports AI tools are widely used by U.S. college students. According to Pearson, 80% of students actively use AI tools, but just 23% receive hands-on, applied AI instruction in real-world contexts that align with employer needs.

What is the AI Readiness Friction Framework introduced by Pearson and AWS for higher education?

The AI Readiness Friction Framework outlines barriers that slow AI skill development from college to work. According to Pearson, it identifies six frictions—pace, connection, capability, governance, experience, and skills—to help institutions and employers prioritize actions and close readiness gaps.

How often do U.S. higher education leaders engage with employers on AI skills, according to Pearson?

Employer engagement is described as relatively limited in the study. According to Pearson, only 10% of higher education leaders report ongoing, frequent engagement with employers, which can restrict how well curriculum and assessment reflect current AI workforce requirements.

What solutions does the Pearson and AWS AI readiness report propose for improving graduate AI skills?

The report proposes three main priorities to improve graduate AI skills. According to Pearson, these include embedding applied AI into projects and internships, strengthening faculty capabilities in AI-enabled teaching, and building stronger employer feedback loops into curriculum, assessment, and credentials.