Redefine Management and Talent in the Era of Agentic AI

The integration of generative AI in business operations has surged significantly. As of November 2025, nearly 80% of companies utilize generative AI in at least one of their functions. This number has risen sharply from 55% just a year prior. However, over 80% of these organizations have yet to see substantial contributions to their profits and losses (P&L) as a result of this technology.

Redefining Management and Talent in the Era of Agentic AI

To leverage the full potential of agentic AI, businesses must reevaluate their operational models. This involves adopting an AI-first mindset and redefining aspects of leadership and talent management. The shift from traditional skill sets to a more integrated knowledge application across various domains is crucial.

Transforming the Role of Managers

The manager’s role is evolving due to the increased reliance on AI agents to take on execution tasks. This transformation is occurring in two key ways:

• Empowerment from Administrative Tasks: Managers can focus on people management, allowing for better team guidance.
• Future Integration: Managers will orchestrate blended systems of human and AI agents.

To adapt, managers will require:

• Agentic AI Literacy: Understanding workflows, data inputs, and potential failures.
• Domain-Specific Expertise: Essential for making informed decisions and providing guidance.
• Integrative Problem Solving: Connecting various functions and designing innovative solutions.
• Socio-Emotional Skills: Building trust and effectively leading teams.

Redefining Talent in the Age of AI

The concept of talent is also transforming. The demand is growing for individuals who can combine specialized knowledge with the capability to manage systems that include both human and AI elements. Key trends include:

• Influence of Specialists: Experts are increasingly embedding their knowledge into AI workflows.
• Role of Generalists: These professionals are becoming orchestrators who guide and integrate complex systems.
• Emerging Roles: New positions such as AI ethics leads and quality assurance specialists are arising to support the evolving ecosystem.

According to research by McKinsey, 75% of existing jobs will require redesign or reskilling by 2030. This evolution represents an opportunity to redefine roles rather than eliminate them, emphasizing collaboration with agentic systems.

Proactive Steps for Organizations

Businesses must take immediate action to adapt to the changing landscape of AI. Key steps include:

• Redefining Roles: Update job profiles to reflect AI literacy, domain expertise, and integrative problem-solving skills.
• Investing in Agentic Fluency: Develop capabilities among leaders to supervise AI effectively and understand its limitations.
• Mapping Talent Pathways: Identify how specialist and generalist roles will evolve, introducing new roles like AI trainers.

Organizations should avoid hasty decisions, such as eliminating entry-level positions or neglecting core skill development. A thoughtful strategy for transitioning to an AI-integrated workforce is essential. Embracing agentic AI is more than just a technological shift; it will redefine business models, workflows, and the nature of work itself. Leaders recognize that rethinking management and talent strategies is vital for successfully navigating these changes.