While 70% of India’s largest lenders are actively using AI, security and operational risks are stalling full-scale deployment into critical banking processes, according to Zeta’s 2026 CXO Survey & Report.
Artificial intelligence is now embedded in day-to-day banking work at many of India’s largest lenders, but the technology is still being held back from the most sensitive parts of the business. Zeta’s 2026 CXO Survey & Report found that seven in 10 chief data officers at Indian banks are already using AI actively, while nearly a third have pushed it into scaled deployment. Even so, the tools are most often confined to lower-risk, reviewable jobs such as customer service, fraud checks, document handling and software testing.
The survey, which covered 40 senior executives at 18 major banks and non-banking financial companies, suggests that the next stage of adoption is proving far harder. According to the findings, banks are still reluctant to place AI inside end-to-end operational processes or use it to make high-consequence decisions. Security, control and data quality concerns are slowing wider roll-out, even as institutions increase production use.
That caution reflects a broader pattern in financial services, where lenders want the efficiency gains of automation without exposing core lending, compliance or customer processes to fresh operational risk. Zeta’s report indicates that banks are comfortable letting AI assist staff and flag issues, but not yet entrusting it with the final call in areas where mistakes could be expensive or difficult to reverse. The result is a market that has clearly moved beyond experimentation, yet remains some distance from full-scale transformation.
Disclaimer: This article is intended to inform and educate, not to recommend or endorse any financial product, investment or strategy. Please consider your own financial circumstances and seek professional advice where appropriate before making financial decisions.
