Indian Companies Deploy AI at Twice the Global Rate, Despite Talent Shortage
Indian enterprises are embedding artificial intelligence into core business operations at nearly double the global average, according to Deloitte's State of AI in the Enterprise 2026 report. Forty percent of Indian respondents reported significant or full AI deployment, compared with 28 percent globally.
The shift extends beyond pilot projects. Indian companies are operationalizing AI across product development, strategy, operations, marketing, sales, and supply chain management. At-scale deployment reaches 62 percent in product development, 56 percent in strategy and operations, 55 percent in marketing and sales, and 48 percent in supply chain.
Nearly all Indian organizations plan to increase AI spending. Ninety-four percent expect their budgets to grow over the next year.
Skills Gap Remains the Real Constraint
The adoption surge masks a critical weakness: only 0 to 4 percent of Indian firms have high levels of AI expertise, below the global average of 2 to 8 percent. This gap threatens to limit how effectively companies extract value from their AI investments.
Regulatory and compliance requirements emerged as the top barrier to scaling AI, cited by 39 percent of respondents. Organizational resistance to change followed at 34 percent. Cost pressures (12 percent) and infrastructure limitations (5 percent) ranked lower, suggesting that governance and cultural readiness matter more than technology access.
S Anjani Kumar, Partner at Deloitte India, said: "The next chapter will be shaped less by access to technology and more by the ability to build institutional capability, strengthen governance, and align people with new ways of working."
The report surveyed over 200 business and technology leaders across India as part of Deloitte's global AI in the Enterprise survey.
For management professionals, the findings underscore a practical reality: deploying AI at scale requires more than budget allocation. Organizations that invest in governance frameworks, compliance readiness, and workforce capability now will have an edge over those that treat AI as a technology problem alone. Learn more about AI for Management or explore AI for Executives & Strategy to build these capabilities.
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