AI adoption shifting from experiments to measurable business outcomes: OpenAI

The next wave of artificial intelligence adoption will centre on delivering tangible outcomes rather than experimental deployments, Pragya Misra, OpenAI's head of public policy and strategy for India, said on Wednesday. Speaking at the Bloomberg New Economy Forum 2026, Misra outlined how organisations are moving beyond simply implementing AI tools at scale towards strategic integration focused on solving specific business problems.

Misra highlighted Cars24, an online automotive marketplace, as a case study in outcomes-driven AI implementation. The company deployed OpenAI's models to power a customer agent that assists sellers in listing vehicles, processing nearly a million conversation minutes monthly. The platform has achieved measurable results, with Cars24 reporting that approximately 12 per cent of previously inactive sellers have returned to the platform due to the improved experience.

The shift reflects a broader maturation in how enterprises approach AI adoption. Rather than deploying ChatGPT or similar tools across operations without clear objectives, companies are now engaging C-suite leadership to identify their most challenging business problems, then collaborating with AI providers to develop targeted solutions. This approach enables organisations to present concrete performance metrics and return-on-investment figures to shareholders and investors.

"It's no longer about broad experimentation," Misra said, emphasising that the focus has shifted to measurable impact on core business challenges. This results-oriented approach is expected to drive more efficient resource allocation and stronger business case development for AI initiatives across the region.