In a bold move to address the future of work, CEOs are urging HR leaders to embrace AI with an open mind and a focus on trust and adaptability. The Economic Times' CEO panel discussion, titled "Future by Design: CEOs on Re-Engineering India's Talent for the Age of Intelligence," delved into the critical role of leadership in navigating the AI transformation.
The conversation, anchored by moderator Krystyna Devina Lason, quickly shifted from hype to the very real concerns of HR leaders, particularly the fear of job displacement. The CEOs emphasized the need to tackle this anxiety head-on, ensuring that organizations prioritize building trust and preparing their diverse workforce for continuous learning.
Santosh Iyer, MD & CEO of Mercedes-Benz India, highlighted the cultural shift that AI adoption represents. In a dynamic market like India, he argued, AI should be seen as a tool to enhance efficiency and customer experience, not as a threat to headcount. Iyer stressed the importance of leadership in calming fears and encouraging exploration and experimentation. For organizations with a multi-generational workforce, the challenge is to bring everyone along, from the "ABCs" to the "XYZs." His solution? Empower teams to identify practical use cases without requiring a deep understanding of the technical backend, and encourage hands-on experimentation with AI tools.
Vishal Sharma, Executive Director & CEO of Godrej Industries (Chemicals), echoed the need to manage sentiment, especially in traditional industries with an older workforce. Comparing the current AI hype cycle to the dotcom boom, Sharma emphasized that transformation is a journey, not a sudden leap. He stressed that AI's role is to enhance performance, not reduce headcount, and shared a personal revelation: he only recently used AI for the first time, underscoring the importance of CEOs leading by example and not delegating transformation to a single "AI hire."
Surendran Chemmenkotil, MD of Metropolis Healthcare, brought a unique perspective from the regulated healthcare industry. In this field, even near-perfect accuracy is not enough when lives are at stake, making human judgment essential for clinical decisions. Chemmenkotil explained that AI adoption starts in non-clinical domains, where it can reduce repetitive tasks and free up resources for higher-skill work. His focus is on future-proofing the workforce, planning resourcing for tomorrow's roles, not today's.
As the discussion turned to learning and capability-building, Iyer linked AI readiness to trust and real-world proof points. In the automotive industry, advanced driver-assistance and autonomous features already rely on AI, accelerating confidence in the technology. However, Iyer cautioned that without trust, AI remains a costly "co-pilot." His strategy for adoption emphasizes experimentation and learning from both successes and failures, rewarding those who embrace AI and those who learn from mistakes.
The audience sought practical leadership indicators, asking about predictive signals used in talent decisions. Iyer shared an experiment using Copilot to synthesize 360-degree feedback and communication patterns, highlighting the potential for brilliant results. However, he cautioned that AI is only as strong as the organization's ability to integrate fragmented data across systems.
The panel reinforced the importance of "high tech, high touch" leadership. As automation increases, leaders must double down on communication, listening, and connection through town halls and one-on-ones, while using AI to enhance preparation, insight, and transparency.
In conclusion, the CEOs outlined a talent strategy for the next five years: hire and reward adaptability, avoid extremes of denial or over-pivoting, and view AI usage as a positive signal, not misconduct. Sharma warned against decisions based on AI's potential rather than proven performance, emphasizing the need to combine emerging tech fluency with the experience and wisdom of long-tenured teams. Iyer offered a simple cultural marker: evaluate AI usage not by penalizing employees, but by assessing how well they utilized it.
The panel's message to CHROs is clear: make AI safe to try, govern it responsibly, and re-engineer talent for a world where roles evolve rapidly, outpacing traditional organizational structures.
