Enterprises Struggle to Monetise Generative AI Despite High Token Consumption

25 Oct 2026, 9:00 am · 18h ago · 1 min read · Analytics India Magazine

Enterprises face significant bottlenecks in monetising generative AI investments despite rising token consumption, according to Satish Viswanathan, former global data and AI lead for travel at Accenture and author of The Weight of Intelligence. Speaking to AIM Network, Viswanathan highlighted that companies often overemphasise model capability while neglecting internal capacity to absorb technology, termed enterprise metabolisation. Key adoption hurdles include enterprise data architecture, system integration, governance, and legacy technical or structural debt, which prevent businesses from translating AI model intelligence into measurable productivity or financial returns.