In the age of artificial intelligence (AI), polymaths—people with expertise in multiple fields—are becoming increasingly valuable. As AI systems grow more advanced, particularly agent-based AI, which can perform tasks independently or with minimal human input, the workplace is undergoing a transformation. These AI agents are taking on roles that were once done by humans, such as data analysis, scheduling, and even decision-making. While the impact of AI on business operations is clear, the evolving role of humans in this new landscape is still being shaped. The future of work seems to require a balance between human skills and AI capabilities, with professionals working alongside intelligent systems to achieve better outcomes. Gerrit Kazmaier, president of products and technology at Workday, highlights that finding the right balance between human action and AI can unlock new opportunities. He argues that agent-based AI can enhance the strengths of professionals, allowing them to act as polymaths—people who can navigate and contribute to multiple disciplines. Julie Colwell, a strategist at Workday, adds that the demand for labor is shifting from specialists in single fields to professionals with a broader range of knowledge. Kathy Pham, vice president of AI at Workday, emphasizes that those who can collaborate across disciplines will be crucial in this changing environment. Chris Kairinos, technical director at A+E Global Media, compares the need for adaptability in the AI era to learning to play a piano with constantly changing keys and pedals. He stresses that professionals must be able to adjust their skills quickly to keep up with the rapid pace of technological change. Similarly, David Minahan, digital director at Young Lives vs. Cancer, notes that the fast evolution of AI means business leaders must prepare for a workforce that requires "polymath" skills. He warns that traditional specialists with narrow expertise are becoming less relevant and suggests the term "generalist" is too vague. Instead, he promotes the concept of "polyvalents"—people who can apply their skills across different areas. Ankur Anand, CIO of Harvey Nash, believes that while versatility is important, depth in expertise is equally crucial. He argues that the best professionals will use AI to enhance their specific skills rather than trying to become generalists. Anand highlights the importance of being able to detect when an AI agent makes a mistake, using the example of Snowflake, where engineers rely on their technical knowledge to spot errors in AI-assisted work. As polyvalent professionals become more common, versatility will extend beyond the IT sector and into other areas of business. David Minahan predicts that job roles will become more diverse as employees work alongside AI tools to gain specific knowledge. Meanwhile, Ankur Anand observes that in recruitment, AI tools are being used to quickly analyze candidate profiles, but roles requiring rare or technical skills still depend on human expertise. In the end, the most effective polymaths will be those who can provide the human insight and judgment that AI cannot replicate.