Revamp Management Strategies to Harness Agentic AI Talent

As of November 3, 2025, nearly 80% of companies are integrating generative AI into their operations. This represents a significant increase from 55% just a year prior. Yet, over 80% of these businesses report not seeing a substantial impact on their profit and loss statements. To fully leverage the potential of agentic AI, organizations need to rethink their management strategies and talent development.
Revamping Management Strategies for Agentic AI
The article titled “The agentic organization: Contours of the next paradigm for the AI era” emphasizes the need for organizations to refine their operating models. An AI-first approach can generate greater value from agentic AI, reshaping how leadership is defined.
Redefining the Role of Managers
As AI takes on more operational tasks, the function of managers is changing. Management needs to transition in two essential ways:
- Freeing managers from administrative burdens: This shift allows them to focus on people management and leadership.
- Becoming orchestrators of integrated systems: Managers must learn to blend human talent and AI for optimal results.
Essential skills for managers in this new paradigm include:
- Agentic AI literacy: Understanding how AI workflows operate and effectively managing them.
- Subject matter expertise: Having the knowledge to provide direction and applicable insights.
- Integrative problem-solving: Ability to bridge gaps across different functions and contexts.
- Socio-emotional skills: Building trust and effectively guiding diverse teams.
Shifting Talent Definitions
The emergence of agentic AI is also reshaping talent requirements. Organizations will prioritize individuals with:
- Deep knowledge in specific domains.
- Capabilities to manage and guide AI systems effectively.
The demand for generalists and specialists is expected to rise, particularly in areas like design, software, and business. The trend indicates a move away from generic expertise toward distinctive skills that can be effectively integrated into AI systems.
According to McKinsey, by 2030, 75% of jobs will need redesigning and upskilling. This shift emphasizes redefinition rather than job loss, focusing on talent that collaborates with AI.
Actionable Steps for Organizations
To navigate the evolving landscape, organizations need to take proactive steps today:
- Redefine roles: Adjust job descriptions and performance metrics to highlight agentic literacy and integrative skills.
- Invest in agentic fluency: Equip leaders with the skills to supervise AI effectively and merge human judgment with automation.
- Prepare talent pathways: Identify how roles will evolve and introduce new positions like AI trainers and quality leads.
Organizations should proceed cautiously, avoiding short-term fixes that could hamper long-term development. A comprehensive AI strategy is essential for sustained success in this transformative era.
Leaders from various organizations acknowledge that AI can fundamentally alter every role. By reevaluating management and talent, businesses can effectively implement broader changes. Embracing agentic AI requires thoughtful strategy and workforce adaptation.



