Artificial Intelligence has reshaped the way we work, and is being widely used worldwide by both individuals and organisations. According to a new study by Zoho titled “The AI Privacy Equation: India Market Report”, almost 93 per cent of Indian organisations are using AI in some form.
It goes on to say that around 71 per cent have worked on strengthening privacy measures, while 61 per cent have “high adoption of governance, with prevalence of ethics committee pointing at proactive ethical considerations in AI deployments.”
“The study shows a very deliberate trend. Over 70 per cent of Indian organisations strengthened their privacy frameworks once they started adopting AI. This is not superficial compliance. Teams are introducing guardrails, ethics reviews and data minimisation as part of their engineering workflow. That approach gives India a credible foundation for responsible AI at scale. It also gives us validation for our approach of keeping privacy at the centre of our AI strategy,” said Ramprakash Ramamoorthy, Director AI Research, Zoho.
The study also claims that 92 per cent of businesses have already dedicated privacy teams or officers, a number that exceeds the global average. Also, more than half (around 65 per cent) have allocated more than 20 per cent of their IT budget to protecting privacy. It goes on to say that Indian businesses have a deep understanding of the ethical implications surrounding AI, and that 61 per cent of surveyed organisations have already established an AI ethics committee.
The adoption of both AI tools and privacy concerns regarding their use seems to be debunking the theory that privacy protection slows AI adoption. Talking of AI adoption, the study suggests that 46 per cent of Indian businesses have also adopted the technology, placing India as one of the top global leaders in enterprise AI adoption.
While 47 per cent of Indian businesses use AI for software development and coding, 41 per cent rely on it for customer service. Another 37 per cent use it for product development, and 32 per cent for decision support.
However, many companies still struggle to adopt AI effectively. About 44 per cent cite poor data quality and limited data availability as major hurdles, 39 per cent point to regulatory compliance issues, and 38 per cent say they are held back by a lack of technical expertise.
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Lastly, the study also claims that the top areas for upskilling the workforce include AI literacy and foundational concepts, data analysis, prompt engineering, and machine learning and model development.
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