The original headline is: "UPI's AI bet: why payment data beats fancy models"

Short summary

NPCI's chief reveals the real competitive edge in digital payments: proprietary data and working business models, not AI model size. Concrete near-term use cases include fraud detection, credit distribution to unbanked users, and multilingual voice onboarding. Key insight for builders: a small specialized model trained on local payment patterns beats a giant general-purpose model.

• •Data and business models drive payment AI success, not model scale
• •Concrete AI use cases are high-volume plumbing: fraud detection, credit distribution, voice onboarding
• •Small localized models beat generic ones; design revenue model into the product from day one

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