AI Won't Lift Human Productivity Without Learning, New Pearson Research Finds
Pairing AI with skilling could add up to
The Productivity Paradox: Why AI Alone Isn't Enough
Companies are investing billions worldwide on AI infrastructure and models, yet there are few positive examples of enterprise-level productivity gains, outside of coding, that truly help workers and drive ROI. The return on AI investment for companies today is often targeted at replacing workers, driving further uncertainty and worry in workplaces. While many employees report "time saved" through AI, the broader economic uplift remains elusive. Pearson's research reveals that a critical "learning gap" is the missing link preventing both employers and their workers from fully leveraging AI's potential.
"AI will drive profound long-term change to business and industry. But leaders are under pressure to rapidly adopt AI and demonstrate a return on that investment, all while bringing worried employees along with this seismic shift. Every positive scenario for this AI-enabled future is built on human development," said Pearson CEO
The "How To": Pearson's New Roadmap for Learning in the Age of AI
Based on its longstanding expertise in learning science, Pearson's report proposes a new approach to workplace learning, one that flips that traditional model of "deploy tech, then have people adapt to the system." The report notes that the most powerful productivity gains come when technology deployment and skill building happen together and provides the C-suite with four actionable steps to do that, called the DEEP Learning Framework:
- Diagnose and define a task-level augmentation plan;
- Embed learning seamlessly into the flow of work;
- Evaluate and measure skills progress toward an AI-augmented workforce; and
- Prioritize learning as a core strategic investment.
The report emphasises that employers risk missing the productivity prize if they focus solely on technology deployment while neglecting the human side of AI adoption. AI has reached more than one billion users in just three years, yet learning is not keeping pace. That's driving a growing emotional and economic toll as workers risk losing jobs and their competitive edge. According to the
The full report and its findings are based on a quantitative analysis that combines Pearson's Faethm data with a comprehensive academic and industry literature review and expert interviews, allowing us to model both the economic impact of AI‑augmented work and the organizational practices needed to close the learning gap.
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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.
Media Contacts
Sami.Miller@Pearson.com – US
Laura.Ewart@Pearson.com – UK
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SOURCE Pearson