Artificial intelligence is rapidly reshaping how organizations operate. From automating routine processes to accelerating decision-making and productivity, the technology is delivering measurable benefits across industries. Yet according to research, skills sought by employers in AI-exposed occupations are changing 66% faster than in other occupations, highlighting how quickly workforce expectations are evolving.
For many leaders, the challenge extends beyond adopting new technology. According to Dr. Angela Meyers, founder of Polymaths Place, organizations are confronting a deeper question about talent itself. For generations, she notes that professional success was built around specialization. Employees were encouraged to develop expertise in a single area, stay within clearly defined roles, and build careers around increasingly narrow domains of knowledge.
"The age of specialization served organizations well for a long time," Dr. Meyers says. "But AI is increasingly capable of performing specialized knowledge work. That shifts the value of human contribution toward learning, adaptability, synthesis, creativity, and the ability to connect ideas across disciplines."
Dr. Meyers believes this transition creates both opportunity and uncertainty. As automation streamlines workflows, many organizations are reassessing workforce structures. "The question is no longer simply who performs a task most efficiently," she says. "Increasingly, leaders must determine which employees are best equipped to learn continuously, adapt to changing circumstances, and work effectively alongside intelligent technologies."
That challenge sits at the center of Dr. Meyers' work. Through Polymaths Place, an organization focused on human intelligence, leadership development, and organizational adaptability, she helps leaders navigate what she explains as the human side of AI transformation. Her work draws on more than a decade of research into polymathy, the study of individuals who develop expertise across multiple domains and use that breadth of knowledge to solve complex problems.
According to Dr. Meyers, organizations have traditionally rewarded individuals who demonstrate certainty, consistency, and deep expertise within established systems. In an environment shaped by rapid technological change, she argues that different qualities are becoming increasingly valuable. Curiosity, learning agility, systems thinking, and interdisciplinary problem-solving can allow people to navigate complexity in ways that machines alone cannot.
"Organizations still need expertise," Dr. Meyers explains. "The goal is not to eliminate specialization. The goal is to complement it with broader capabilities that allow people to adapt, collaborate, and continue learning as conditions change."
One practical challenge leaders face involves determining how to identify those capabilities. To address this, Dr. Meyers developed the Knower-Learner Assessment, a tool designed to help organizations understand where individuals fall along a spectrum between preference for stable, routine work and preference for continual learning and adaptation. According to her, the assessment can help leaders make more informed talent development decisions as workforce expectations evolve.
Yet Dr. Meyers argues that future workforce success cannot be understood solely at the individual level. She believes the next phase of organizational performance will increasingly depend on collective intelligence, the ability of groups to integrate diverse perspectives, expertise, and experiences when addressing complex challenges.
"Many of today's problems do not fit neatly inside a single discipline," she says. "The organizations that thrive will be those that learn how to harness intelligence collectively, bringing together multiple viewpoints to create more thoughtful and resilient solutions."
That philosophy led to the creation of her Collective Intelligence Labs, which help organizations facilitate cross-functional collaboration and multidisciplinary problem-solving. The approach reflects her broader view that innovation increasingly emerges at the intersection of different fields rather than within isolated areas of expertise.
Dr. Meyers explores these themes further in her recently released book, Versatile: Human Intelligence in an Artificial Age, which examines how organizations can develop adaptable leaders and more versatile workforces in an AI-driven environment. She has also expanded the concepts into leadership training programs designed to help managers and executives apply these ideas within their organizations.
While the term polymath is often associated with historical figures, Meyers believes its relevance is growing in modern workplaces. As AI continues to augment and automate specialized tasks, she argues that human value will increasingly be defined by the ability to learn, connect ideas, and navigate complexity.
"In an age of accelerating change, curiosity may become the new professional superpower," Dr. Meyers says. "This ability to learn, unlearn, and relearn may become one of our greatest advantages."
