The traditional ascent to the corner office is undergoing a significant transformation, with artificial intelligence (AI) reshaping the skills, career trajectories, and leadership experiences that companies value most. According to Kumaresh Pattabiraman, India Country Manager and Vice President, LSS Product at LinkedIn, the path to becoming a CEO is becoming decidedly less linear.
Less Linear Leadership Journeys
Millennials now constitute 55% of India's C-suite, signaling a broader shift in leadership demographics and career progression. LinkedIn's latest research highlights a notable decline in single-industry experience among India's C-suite, dropping from approximately 80% to 58%. This reflects a growing preference for leaders with broad experience across various companies, functions, and industries.
“Leadership today rewards greater range. The value of deep expertise has not gone away. But in an AI-shaped economy, leaders are being asked to make decisions faster, with less certainty, and across problems that do not sit neatly within one function,” explains Pattabiraman.
The traditional model of decades spent within a single organization or industry before reaching the top is giving way to more dynamic career paths. Pattabiraman emphasizes that while all generations of leaders have navigated disruption, today's executives have risen during a period where movement across organizations, business functions, and industries has become commonplace. This shift mirrors the evolving nature of business itself, where AI introduces challenges that span technology, operations, talent, and customer experience, demanding leaders who can synthesize ideas across disciplines rather than operate in isolated functional silos.
Continuous Learning as a Core Leadership Skill
The advent of AI is also profoundly impacting the essential skills executives need to cultivate. Pattabiraman notes that skill-building has transitioned from a personal development endeavor to a crucial leadership discipline. A staggering 92% of Indian CEOs acknowledge that their roles now necessitate continuous skill-building to keep pace with rapid technological advancements.
LinkedIn's research further reveals that four of India's five fastest-growing C-suite skills are directly related to AI, including AI Agents, AI Productivity, AI Strategy, and Retrieval-Augmented Generation (RAG), with AI Agents alone seeing nearly 18.6% year-on-year growth.
“The pressure on leaders today is that they have to move before every answer is clear,” Pattabiraman states. “It is no longer enough to rely only on experience or wait for a perfect playbook. Leaders need to keep updating how they think, what they understand and the questions they ask.”
However, he clarifies that this doesn't mandate every CEO become a technology expert. Instead, leaders require sufficient fluency to make informed decisions, differentiate genuine business value from mere hype, and adapt swiftly to market changes.
Addressing the Leadership Skills Blind Spot
While organizations increasingly encourage employees to embrace lifelong learning, this expectation now extends to leaders themselves. LinkedIn's data indicates that 51% of Indian C-suite leaders recognize a significant blind spot regarding the future roles, skills, and capabilities their organizations will require. Pattabiraman believes that bridging this gap must begin with leaders.
He advises that leaders should leverage labor market insights, internal skills data, and critical business priorities to make learning more focused and impactful. “Teams watch what leaders prioritise. If leaders ask better questions, challenge old assumptions, experiment with new tools and are open about what they are still learning, it gives the rest of the organisation permission to do the same.” This collaborative approach to learning is vital in the AI era, ensuring skill development feels connected to work, strategy, and the business's future rather than a mere compliance task.
The Profile of Tomorrow's CEO
The next generation of CEOs will not necessarily be defined by their deep technical expertise but by their ability to strategically apply technology to business decisions. For Pattabiraman, AI fluency is evolving into a fundamental leadership capability rather than a specialized technical skill. The capacity to ask incisive questions, discern meaningful business value from AI hype, and continuously adapt will increasingly distinguish successful leaders.
“The goal is less about training everyone on everything, and more about helping people build the capabilities that will matter next and showing that the C-suite is learning alongside the organisation, not simply asking others to catch up,” he concludes.