Indian enterprises are earning a premium on AI leadership.
According to a new study by the IBM Institute for Business Value, organisations with a chief AI officer (CAIO) in place see 10% higher returns on their AI investments than those without one.
When AI has a seat at the leadership table, it stops being an experiment and starts driving profits. The role of the CAIO, once a speculative title, is now an emerging position in India’s corporate hierarchy.
The IBM study reveals that 77% of CAIOs in India enjoy strong backing from the C-suite, while two-thirds report direct support from the CEO.
While only one in four companies currently has a CAIO, the other 67% plan to appoint one within two years, reflecting a sharp organisational shift towards a structured AI leadership.
For context, the IBM study surveyed 624 professionals across various industries and geographical regions spanning 22 countries.
A growing number of Indian enterprises are appointing CAIOs across various industries, from manufacturing (Jindal Steel & Power) to media (India Today Group) and financial services (Motilal Oswal Financial Services, Mirae Asset Global Investments).
This trend goes beyond mere enthusiasm for AI. It reflects a strategic move to place the ownership of the AI roadmap directly within the C-Suite.
This ensures that AI initiatives are cohesive, scale beyond pilot programmes and are aligned to deliver tangible business outcomes, rather than remaining fragmented or misdirected.
Across Indian boardrooms, the CAIO is increasingly seen as the missing link between data scientists and decision-makers.
According to IBM’s findings, 80% of CAIOs in India are now consulted by other CXOs on key AI decisions. More than half were appointed internally, reflecting the company’s efforts to nurture leadership talent from within. And in a telling sign of growing trust, 60% of CAIOs report directly to the CEO or the board.
“They bridge the gap between business and technology,” Viswanath Ramaswamy, vice president, technology at IBM India and South Asia, said in the report.
“To succeed, they need clear KPIs, alignment with C-suite priorities and a roadmap that delivers sustainable competitive advantage.”
Unlike in many global markets, India’s CAIOs tend to operate with broad mandates.
About 70% define the organisation’s AI strategy, 57% lead change management, and another 57% oversee implementation—all above the global average.
Many are also leading workforce transformation, with 43% overseeing upskilling and 37% reskilling programmes. Nearly 60% control their organisation’s AI budgets, which gives them direct ownership of both investment and accountability.
This combination of authority and technical expertise is giving Indian enterprises an edge. Most CAIOs come from data or technology backgrounds—70% and 73% respectively—half of whom have prior experience in innovation.
That blend of skills uniquely positions them to translate complex AI capabilities into measurable business outcomes.
How CAIO Benefits a Company like Yotta
During an interaction with AIM, Sunil Gupta, the CEO and managing director of Yotta Data Services, shed light on how the appointment of a CAIO has transformed the company’s strategy with AI.
Yotta is an Indian company that offers infrastructure for AI workloads using cloud, data centres and GPU-based solutions. Before the era of generative AI, Yotta focused on delivering hyperscale data centre parks and cloud infrastructure across India.
“As we expanded our investments in AI-led platforms such as Shakti Cloud, we recognised the need for a focused leadership mandate to steer innovation, governance and market alignment,” Gupta said.
“Under him, we’ve institutionalised a governance framework that ensures responsible, secure and outcome-driven AI adoption across all customer initiatives.”
As the role of AI expands and becomes increasingly ingrained across customers and enterprises, the appointment helped Yotta also refine its strategy.
With a suite of offerings, the company successfully redesigned this as an easy-to-access and deploy solution called Shakti Studio.
At Yotta, the CAIO’s role is centred on building and scaling AI-as-a-Service (AIaaS) by leveraging its GPU infrastructure within Shakti Cloud.
Gupta also stated that the CAIO is detrimental to the deployment of its AI-based solutions.
As mentioned in the IBM report, the CAIO drives the end-to-end integration of AI solutions for their respective businesses. In the case of Yotta, this means steering the company’s transition from pure infrastructure to AI-driven services.
The CAIO leads the development of its AIaaS model, leveraging Yotta’s GPU-rich Shakti Cloud to create scalable platforms that enterprises can use to build, train and deploy AI models without heavy upfront investments.
Gupta also noted that, since the implementation of the role, the company has been able to accelerate its AI roadmap significantly.
“Beyond product innovation, the CAIO’s role has created a cultural and strategic shift, embedding AI thinking across teams and driving Yotta’s mission of enabling a truly digital Bharat through indigenous, high-performance AI and cloud solutions,” Gupta said.
Other companies, such as the India Today Group and Jindal Steel and Power, demonstrate how the CAIO role can drive meaningful change.
At India Today, the CAIO appointment marks a shift: he now leads the India Today AI Lab, tasked with reinventing how content is created, distributed and monetised—from AI news anchors to AI-powered magazine covers and films.
At Jindal Steel and Power, the CAIO is responsible for integrating AI into core manufacturing and power operations, with a focus on enhancing operational efficiency, product quality, safety and sustainability.
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