Indian Clarity

Light. Truth. Clarity.

Loading ad...
Business

Indian IT leaders focus on agentic AI for growth,  majority of...

Share FacebookTwitterWhatsAppPinterestLinkedinCopy URLTelegramEmailTumblrReddItPrintKoo NEW DELHI, Jan 11:  Indian IT leaders are betting big on agentic AI adoption for business growth compared to the leading western market, where focus is on enhancing traditional efficiency, a survey report by technology consultancy firm Thoughtworks said. The company has claimed to cover 3,500 C-suite and senior IT decision makers across seven countries, including 500 in India. The report said, 48 per cent of Indian leaders identify agentic AI, autonomous systems capable of acting, reasoning, and adapting independently as their primary AI priority.

Indian IT leaders focus on agentic AI for growth,  majority of...

Credit: Dailyexcelsior

Key Highlights

  • “India leads the world in agentic AI adoption at 48 per cent, creating a clear divergence from Western markets like the US (28 per cent) and Australia (23 per cent), which remain focused on traditional efficiency,” the report said.
  • According to the report, the focus of leadership on the adoption of agentic AI signals a decisive shift, reflecting that Indian enterprises are not just adopting AI tools; they are preparing for AI-led business models.
  • The survey has found 93 per cent of those surveyed in India agree that the most impactful AI initiatives enhance people’s skills and speed, while 86 per cent agree that AI is augmenting, not replacing, talent.
  • It said that 57 per cent report a net increase in roles as jobs are redesigned for human-AI collaboration.
  • The report said, “35 per cent have created entirely new roles or career paths due to AI.
Loading ad...

Sources

  1. Indian IT leaders focus on agentic AI for growth,  majority of...

This quick summary is automatically generated using AI based on reports from multiple news sources. The content has not been reviewed or verified by humans. For complete details, accuracy, and context, please refer to the original published articles.

Related Stories

Loading ad...