Projected GenAI Adoption to Revamp 38 Million Jobs in India by 2030

Synopsis
Key Takeaways
- 38 million jobs affected by GenAI by 2030.
- Productivity boost of 2.61% in organized sectors.
- Full automation potential for 24% of tasks.
- GenAI adoption still in early stages with 15% in production.
- Significant productivity gains in call center management.
New Delhi, Jan 14 (NationPress) The adoption of Generative AI (GenAI) is anticipated to revolutionize at least 38 million (3.8 crore) jobs in India by 2030, contributing to a 2.61 percent increase in productivity for the economy through advancements in the organized sector, and an additional 2.82 percent with the integration of GenAI in the unorganized sector, as reported on Tuesday.
Approximately 24 percent of tasks across various industries hold potential for complete automation, while an additional 42 percent can be improved with AI, allowing knowledge workers to save between 8-10 hours each week,” according to the EY India report.
GenAI is set to transform every job, unlocking significant possibilities for productivity and economic growth.
“This transformation will fundamentally alter jobs, enhancing productivity and fostering innovation. Developing talent pipelines and emphasizing upskilling should be prioritized by every organization,” stated Rajiv Memani, Chairman and CEO of EY India.
By promoting public-private partnerships and investing in talent development, India can emerge as a global center for AI-skilled professionals, he added.
The report indicated that the most substantial productivity improvements are expected within the services sector due to its higher labor-to-output ratio, while manufacturing and construction sectors will experience lesser impacts.
Despite the vast potential of AI, the survey indicates that adoption remains nascent. Only 15 percent of surveyed enterprises have integrated GenAI into production, while 34 percent have completed proof of concepts (POCs), and 11 percent are focused on operationalizing successful POCs.
Indian enterprises are at varying levels of data preparedness. Only 3 percent of the surveyed companies report being fully prepared, while 23 percent state they are not in a position to initiate AI deployments, as mentioned in the report.
The analysis of over 10,000 tasks across various industries indicated differing productivity enhancements across sectors.
Among the business processes that will experience the most significant impact is call center management, anticipated to see an 80 percent productivity boost, followed by software development, which has a potential 61 percent productivity increase.
Other areas impacted include content creation and distribution at 45 percent, customer service at 44 percent, and sales and marketing at 41 percent.
The productivity increase in the IT/ITeS sector is expected to be around 19 percent, with healthcare at 13 percent and banking/insurance at 8-9 percent,” the report highlighted.