EP987: AI in MSME: Turning Data Shadows into Credit Access

In a world where millions of small businesses in emerging markets remain invisible to traditional banks, a quiet revolution is underway. The $1.47 trillion credit gap for MSMEs isn't due to lack of demand—it's because legacy systems can't see them. But now, AI and alternative data are turning 'data shadows' into bankable realities. From UPI transaction flows and GPS patterns to psychometric testing and voice-based lending, the tools are redefining creditworthiness not by collateral or paper trails, but by real-time behavioral signals. The Priority Sector Lending Association of India (PSLAI) is leading this transformation not by building tech, but by architecting an entire ecosystem—standardizing consent via account aggregators, decentralizing lending through Open Credit Enablement Network (OSIM), and pushing regulators to rewrite rules so that a farmer’s 120-day crop cycle isn’t punished by a 90-day NPA rule. This isn’t just fintech innovation; it’s a systemic redesign of financial inclusion, where trust is no longer based on assets, but on flow. Yet, as every digital action becomes a financial signal, a profound question lingers: in the age of the invisible ledger, where do we draw the line between visibility and surveillance? The episode reveals that credit access is no longer about proving you’re solvent—it’s about proving you’re predictable.