
Organisations cautious in GenAI adoption but find ROI satisfactory
Only 5% of the organisations offer gen AI tools for more than 80% of their workforce, according to Deloitte's 'State of AI' report shared with TOI. The report underscores a critical gap that while many companies are experimenting with AI, few are scaling its use across their workforce. 29% of organisations provide access to less than 40% of their workforce and 12% enable moderate access to less than 60%, the report noted.
Even in organisations with higher access, less than 40% of them use it in the day-to-day workflow. It was based on a survey of 2,773 directors and executives in organisations in 14 major economies between in 2024.
Compared to earlier surveys, there is a significant increase in confidence, especially among Indian organisations, Moumita Sarker, partner, GenAI and Agentic AI leader at Deloitte India told TOI. "The reported level of expertise in GenAI has risen sharply, with some indicators suggesting it is nearly 450% higher than before reflecting a strong belief within organisations," she said.
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Around 71% of organisations actively pursue more than 10 Gen AI experiments with 29% of the organizations expecting those to be fully scaled in the next six months. While Indian executives generally had a positive outlook, 27% and 10% of the participants expressed uncertainties and fear respectively over generative AI. Moreover, 48% of Indian organisations invested less than 20% of their overall AI budget, indicating a hesitation over the technology.
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This shows companies are slow in adoption with challenges such as lack of talent, hallucinations, infrastructure readiness, costs and integration. The return on investment on GenAI projects stands around 27%, according to Deloitte, with many companies experimenting with small to moderate implementation of AI initiatives. However, the survey noted that 70% of the participants reported AI initiatives meeting or exceeding their expectations on ROI.
On Agentic AI adoption, which is not covered in the survey, she said pilot use cases are explored, particularly in finance processes, customer service and software development. "We are seeing growing interest and orchestrated end-to-end use cases in various industries and expect to see more scaled and fully executed Agentic AI workflows emerge soon," she added.

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