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Indian Companies Increasingly Appointing Chief AI Officers for Leadership

Tina TinaChouhanbyTina TinaChouhan
October 8, 2025
Indian Companies Increasingly Appointing Chief AI Officers for Leadership

Indian businesses are gaining significant traction in AI leadership, with Chief AI Officers (CAIOs) becoming essential for strategic direction and execution, according to a recent study by the IBM Institute for Business Value. As CAIOs secure a strategic position within the leadership framework, Indian firms are merging technical proficiency with executive acumen to enhance AI adoption. The research indicates that 77% of CAIOs in India enjoy robust support from the C-suite, including 67% who report backing from the CEO, highlighting strong organizational alignment necessary for effective AI scaling.

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Currently, 25% of the surveyed Indian enterprises have a CAIO, but 67% plan to appoint one within the next two years, showcasing India’s increasing inclination to designate a leader for directing AI strategy towards tangible results. This trend is supported by data showing that organizations with a CAIO globally achieve a 10% higher return on investment (ROI) from their AI expenditures, emphasizing the importance of effective AI leadership and strategic coherence in achieving business objectives. Viswanath Ramaswamy, Vice President of Technology at IBM India & South Asia, stated, “As Indian enterprises transition from pilot projects to widespread AI integration, CAIOs will play a pivotal role in their AI transformation journeys.

They will act as a bridge between business and technology, establishing strategic direction and aligning teams towards common objectives.” To thrive, CAIOs must craft a well-defined transformation roadmap with measurable KPIs, ensure alignment with C-suite priorities, and concentrate on initiatives that yield a sustainable competitive advantage. Additional key insights for India reveal strong C-suite backing for AI leadership: 80% of CAIOs are sought for advice by other CXOs on critical AI decisions, and 57% of Indian CAIOs were promoted from within, indicating the cultivation of AI leadership talent internally. Moreover, 60% of CAIOs report directly to either the CEO or the Board of Directors.

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Regarding responsibilities, Indian CAIOs oversee a wide range of tasks, including defining the organization’s AI strategy (70%), developing change management initiatives for AI adoption (57%), and directing AI implementation (57%). These figures exceed the global average by 10 percentage points, indicating that Indian CAIOs focus more on these areas and are advancing AI initiatives at a faster pace than their international counterparts. Notably, many CAIOs are also involved in upskilling (43%) and reskilling (37%) employees in AI, with 60% asserting that they control the AI budget, thereby enhancing accountability.

In terms of technical qualifications, 70% of Indian CAIOs have a background in data, mirroring global trends, while 73% come from technology roles and 50% have experience in innovation, thereby reinforcing their capacity to lead transformation efforts. With 67% of Indian organizations primarily investing in AI pilots, the combination of strong leadership support and the strategic focus of CAIOs is expected to lay a solid foundation for accelerating widespread AI adoption. Only 18% of Indian CAIOs find AI implementation very challenging, compared to 30% globally, indicating a more favorable environment for execution.

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