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Managing Leadership Paradoxes in AI Adoption

Explore how organizational leaders are driving meaningful AI adoption while navigating the contradictions inherent in workforce readiness, culture, and decision-making.

May 2026

Workforce transformation

60 Min

Speakers

Anirban B. Roy

Chief Revenue Officer, Mercer Mettl

Shireen Khan

Senior Correspondent, ETHRWorld, The Economic Times

Salil Mathew

Vice President, Capgemini

Dr. Ranjith TP

Head of TA, Volvo Group

Viekas K Khokha

CHRO, Sharda Motor Industries Ltd.

Overview

 

As organizations accelerate their AI journeys, leaders are increasingly navigating a unique set of contradictions: balancing innovation with caution, automation with human capability, and speed with thoughtful decision-making.

What you’ll learn:

Balancing strategic AI innovation with workforce readiness and effective governance.

Prioritizing high-impact AI use cases to prevent fragmented adoption.

Accelerating AI adoption while minimizing workforce fatigue and burnout.

Leadership strategies for building organizational agility, continuous learning, and scalable AI readiness.

Key takeaways:

AI is redesigning work, not just automating tasks. It is reshaping workflows, redefining roles, and changing how organizations operate across functions.

Leaders must provide clear direction and build trust, so employees feel confident about relevance, growth, and future career paths. Without leadership and organizational readiness, AI adoption will stall.

Hiring is shifting towards skills-based and evidence-based assessments (learning agility, problem-solving), while maintaining a balance between external hiring and internal upskilling/reskilling.

Measure, map and mobilize your workforce with Mercer’s AI Agility Assessment

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