India Leads Global AI Adoption, But ROI Questions Loom

India has emerged as the top country for AI adoption among companies, excluding the IT and cybersecurity sectors, as per a Deloitte India-FICCI report released in August 2026. AI is increasingly functioning as an "intelligence layer" across consumer-facing businesses, influencing product development and forecasting.

While operational benefits like cost savings of 8-10% in planning and manufacturing, and supply chain efficiencies of 5-10% are becoming evident, the translation of these gains into higher revenue or profits is still unclear. European retail and CPG executives noted increased AI activity but only a few reported significant earnings impact, with most deeming it too early to determine financial returns.

Companies like Hindustan Unilever and Procter & Gamble have reported operational improvements through AI and machine learning. Hindustan Unilever's Pondicherry factory saw volume growth and reduced defects following a broader digital transformation, while Procter & Gamble optimized its supply chain. Tata Consumer Products also noted AI's influence on sales and route optimization, though specific revenue figures were not disclosed.

However, scaling AI from pilot projects to full implementation remains a major hurdle. A significant percentage of consumer packaged goods and retail executives are still in the pilot phase, citing that the economics of small-scale successes do not always translate to larger business results. Over half of companies do not formally measure AI investment returns, and many pilots lack clear criteria for scaling.

Startups like Match It Up focus on AI's ability to foster meaningful business connections, tracking user conversion and retention as key indicators of long-term value. The future of AI adoption hinges on moving beyond mere deployment to embedding AI into everyday decision-making, with financial returns becoming the benchmark for success.