Question 1

What is India’s AI economic potential?

Accepted Answer

The research shows AI could add more than $500 billion to India’s economy by 2030. Leaders believe this value is achievable, but only if foundational barriers are addressed.

Question 2

How do Indian enterprises compare to global peers in AI progress?

Accepted Answer

Executives overwhelmingly believe in India’s long‑term potential, but 72% say their organizations lag global peers today. India’s digital public infrastructure gives the country strong starting advantages, yet many enterprises struggle with legacy systems, tangled interconnections, uneven data quality, and immature operating models. These gaps are the primary reasons Indian organizations trail international benchmarks.

Question 3

What kind of AI architecture does India need?

Accepted Answer

India is coalescing around a sovereign‑hybrid architecture. Enterprises want the flexibility and cost efficiency of hybrid cloud paired with the control and regulatory confidence of sovereign cloud—especially for sensitive or high‑stakes workloads. Leaders also expect localized, transparent AI models that show how they’re trained and where intelligence runs.

Question 4

Why aren’t more Indian companies scaling AI, even though pilots are everywhere?

Accepted Answer

India has widespread AI experimentation, but only 15% of organizations have scaled AI across functions. Leaders identify the same underlying blockers: legacy technology, siloed and inconsistent data, limited real‑time data movement, and gaps in governance.

Question 5

Which industries in India are likely to see the biggest AI-driven disruption?

Accepted Answer

Manufacturing, financial services, telecom, healthcare, and agriculture stand out as the sectors where AI will move fastest and deliver the most value. These industries already show early adoption and have large-scale workflows that benefit from prediction, automation, and connected intelligence.

Question 6

How can India strengthen its position in the global AI ecosystem?

Accepted Answer

Leaders consistently argue that India must build deeper sovereign capability across compute, models, talent, and data infrastructure. Today, 83% of Indian AI startups focus on applying existing models, while only 21% are developing new ones. Strengthening domestic R&D, improving data‑sharing frameworks, expanding compute availability, and accelerating indigenous model development are all necessary for India to become a global AI producer rather than primarily a consumer.

From promise to power

Digital sovereignty solutions

Data and AI consulting services

IBM sovereign core

Digital sovereignty solutions

Data and AI consulting services

IBM sovereign core

Chief AI Officers cut through complexity to create new paths to value

The tech debt reckoning

The Great Tech Reset: How hybrid by design creates business value

Where AI breaks–or breaks through

The calculus of AI sovereignty

2026 Tech Leader Study: Building the IT foundation for agentic AI at scale