GenAI to transform 38 million jobs by 2030: EY India

EY India recently shared a report titled “How much productivity can GenAI unlock in India? The AIdea of India: 2025,” projects significant economic gains from AI adoption by 2030. The report forecasts that AI could transform 38 million jobs, leading to a 2.61% productivity boost in the organized sector. This potential could further increase to 5.43% with broader Generative AI or Gen AI adoption in the unorganized sector.

The findings are based on a survey of over 125 C-suite executives, highlighting the urgent need to address the skills gap to fully realize the potential of AI in India.

As per the report, GenAIs transformative power is evident across various job roles, with the potential to automate 24% of tasks and enhance 42% through AI augmentation. This translates to a potential time-saving of 8-10 hours per week for knowledge workers. While the services sector is projected to experience the most significant productivity gains due to its labor-intensive nature, manufacturing and construction are also expected to benefit.

The report underscores the critical role of talent in successful AI adoption. According to it, a mere 3% of Indian enterprises possess the necessary in-house talent and resources, while 97% of executives identify talent shortages as a major obstacle.

Anand Mahurkar, CEO, Findability Sciences said “EYs report on GenAI transforming 38 million jobs by 2030 underscores the urgency for businesses to adopt innovative AI-driven solutions. At Findability Sciences, we are leading this charge with our latest breakthrough—the Agentic Workflow Engine—alongside Enterprise Forecasting and Business Process CoPilots. These advancements empower organizations to automate workflows, enhance decision-making, and achieve tangible ROI. Our Agentic Workflow Engine exemplifies how GenAI can unlock unprecedented productivity, enabling businesses to not just adapt to change but thrive in the face of it. Together, we are driving the future of work, where AI and human ingenuity converge.”

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