The future of work can’t wait

The U.S. workforce is facing a pivotal challenge: A widening skills gap that threatens economic growth and innovation. While demographic trends—like declining birth rates and a shrinking pipeline of young workers—are real, the more actionable issue is the growing mismatch between the skills employers need and those available in the labor market.  

According to Pearson’s recent “Lost in Transition” research, nearly 90% of U.S. employers report difficulty finding candidates with the right skills, and more than half of workers feel unprepared for the demands of the future workplace. 

This problem is decades in the making, and its consequences will be global. Without action, this gap threatens economic stability, public health systems, and critical infrastructure. Projections indicate the U.S. could face skills shortages in 171 occupations by 2032. 

But instead of focusing on the inevitability of demographic change, we should zero in on the skills gap—a challenge we can address through education, collaboration, and the smart use of technology. The skills gap is not just a statistic; it’s a call to action for educators, employers, and policymakers to rethink how we prepare people for work. 

AI AS A CATALYST FOR WORKFORCE READINESS 

Artificial intelligence, when thoughtfully designed and applied, is already helping to close the skills gap. When used as a tool for guided learning rather than a shortcut, AI can help bridge the skills gap and equip the workforce to succeed where human touch is required. 

AI-powered learning tools in educational environments are already accelerating pathways into critical professions by enabling learners to demonstrate measurable improvements in critical thinking and adaptability, as well as build durable skills that employers need most and are essential for thriving in a rapidly changing economy. 

Employers, too, are leveraging AI to upskill their current workforce, using adaptive platforms to identify and close skills gaps faster than traditional training methods allow. This approach is not about replacing people with technology, but about empowering workers to learn, adapt, and grow alongside digital tools. 

THE NEW COMPETITIVE ADVANTAGE: LEARNING HOW TO LEARN 

The ability to “learn how to learn” is now a core competency for career success. As the shelf life of technical skills shortens, the most valuable workers will be those who can continuously acquire new knowledge and adapt to new roles. AI can support this by personalizing learning experiences, promoting metacognition, and helping people build the confidence to navigate transitions throughout their careers. 

We’re already seeing data showing that AI can promote the real learning and adaptability skills that are needed in the workforce. High school and college students are improving their academic performance and demonstrating critical thinking skill through the use of science-backed AI tools that align with Bloom’s Taxonomy of Learning framework. AI in education is doing more than raising test scores; it’s teaching students how to learn, adapt, and thrive in an economy where continuous upskilling is the norm. 

Closing the skills gap will require collaboration across education, business, and government. We need to align AI literacy standards, invest in educator training, and ensure responsible use of technology that prioritizes data privacy, bias mitigation, transparency, and measurable learning outcomes.  

By focusing on the skills gap—and leveraging the best of AI and learning science—we can build a workforce that is not only prepared for the future but empowered to shape it. 

Tom ap Simon is the President of Pearson Higher Education and Virtual Learning