New research from Pearson, the world’s lifelong learning company, reveals that the true economic potential of AI will only be realized if employers pair technology investment with continuous learning. The report, “Mind the Learning Gap: The Missing Link in AI’s Productivity Promise,” finds augmenting jobs with AI—rather than simply replacing workers—and ensuring employees have the skills needed to work effectively with AI could add between $4.8 trillion and $6.6 trillion to the U.S. economy by 2034. This represents around 15% of current U.S. GDP at the lower range.
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” due to 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,” says Omar Abbosh, CEO of Pearson. “As a learning company, we see that the biggest obstacle to AI adoption is the lack of human skills to work alongside these technologies. Addressing that will support workers, boost their confidence with new technology, and drive the ROI outcomes that businesses want.”
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 a C-suite with four actionable steps to so 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 emphasizes 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 World Economic Forum, 59% of the global workforce will need reskilling by 2030, underscoring the urgency of solving the learning gap through implementing new models.
