RBI Governor Sanjay Malhotra at the FIBAC 2026 summit called for Indian banks to treat Artificial Intelligence as a core strategic priority. While highlighting AI's potential to improve credit access and operational efficiency, the central bank emphasized the need for board-level oversight and human accountability to manage emerging risks like data bias and cybersecurity.
Reserve Bank of India Governor Sanjay Malhotra has set a clear agenda for the domestic banking sector, urging institutions to transition from treating Artificial Intelligence as an experimental technology to making it a core strategic pillar. Speaking at the FIBAC 2026 summit, the Governor emphasized that for AI to truly revolutionize Indian banking, it must be integrated with robust governance structures, meaningful human oversight, and a commitment to long-term digital infrastructure investment.
Moving Beyond Pilot Projects
The central message from the Governor is that AI integration should no longer be confined to disjointed, pilot-based projects. Instead, banks need to adopt a board-driven strategy that aligns technology deployment with institutional goals. This shift suggests that banks will likely need to increase their capital spending on technology and talent development. While this may put short-term pressure on operational costs, the objective is to leverage AI for better credit delivery and financial inclusion. By utilizing alternative data sources—such as GST filings and digital transaction footprints—banks can reach underserved populations, including gig workers and small businesses that lack traditional credit histories.
Managing Systemic and Operational Risks
While the potential for efficiency is high, the Governor explicitly warned against the risks inherent in rapid AI deployment. A significant concern for the central bank is the black-box nature of some AI models, where the logic behind financial decisions is not transparent. This lack of transparency can pose operational challenges and make auditing difficult. Furthermore, the reliance on a narrow set of technology vendors could create systemic vulnerabilities if those third-party models fail or perform unexpectedly.
Governor Malhotra stressed that banks cannot outsource accountability. Regardless of the algorithms used, the final responsibility for credit and operational decisions must remain with the bank and its leadership. This requires banks to actively monitor their systems for algorithmic bias, data privacy concerns, and potential exclusion risks, ensuring that automated systems do not inadvertently create new forms of financial inequality.
Strengthening Security Against Fraud
To address the growing sophistication of cyber threats, the RBI is also focusing on defense. The regulator is introducing a Digital Payment Intelligence Platform designed to combat AI-driven fraud. This initiative is a response to the reality that criminals are increasingly using machine learning to bypass static, rule-based security systems. For banks, this underscores the need for continuous investment in cybersecurity frameworks that can adapt in real-time to neutralize anomalies. Investors and market observers should track how quickly large and mid-sized lenders align their internal digital governance with these central bank expectations, as well as the impact of ongoing tech spending on their profit margins and overall service reliability.