New research commissioned by IBM found that about 59% of enterprise-scale organisations (over 1,000 employees) surveyed in India have AI actively in use in their businesses.

The ‘IBM Global AI Adoption Index 2023’ found early adopters are leading the way, with 74% of those Indian enterprises already working with AI, having accelerated their investments in AI in the past 24 months in areas like R&D and workforce reskilling.

While 27% of them are actively exploring the use of the technology. Moreover, the report further reveals that the top 5 barriers hindering successful AI adoption at enterprises both exploring or deploying AI are limited AI skills and expertise (30%), lack of tools/platforms for developing AI models (28%), AI projects are too complex or difficult to integrate and scale (27%), ethical concerns (26%) and too much data complexity (25%).

Ongoing challenges for AI adoption remain, including hiring employees with the right skillsets and ethical concerns, inhibiting businesses from adopting AI technologies into their operations. Therefore, in 2024 addressing these inhibitors would be a priority, like providing people with the relevant skills to work with AI and having a robust AI governance framework.

“The increase in AI adoption and investments by Indian enterprises is a good indicator that they are already experiencing the benefits from AI. However, there is still a significant opportunity to accelerate as many businesses are hesitant to move beyond experimentation and deploy AI at scale,” said Sandip Patel, Managing Director, IBM India & South Asia. 

“To harness its full potential in the coming months, data and AI governance tools are going to be critical for building AI models responsibly that enterprises can trust and confidently adopt. Without the use of governance tools, AI can expose companies to data privacy issues, legal complications, and ethical dilemmas – cases of which we have already seen plaguing many across the world,” he added.