- A committee from the Reserve Bank of India (RBI) has expressed worries about a growing “AI divide” between big commercial banks and smaller cooperative financial institutions.
- They’re calling for specific actions to promote inclusive technology adoption.
- The Committee on Framework for Responsible and Ethical Enablement of Artificial Intelligence (FREE-AI) in the financial sector recently released a report highlighting that the use of Artificial Intelligence (AI) in Urban Cooperative Banks (UCBs) is still quite minimal.
- Out of the 264 UCBs surveyed, only 16 reported using AI tools, while the majority hadn’t adopted any at all.
- Alarmingly, none of the Tier 1 UCBs had implemented AI, and the adoption rates in Tier 2 and Tier 3 banks were below 10%.
A committee from the Reserve Bank of India (RBI) has expressed worries about a growing “AI divide” between big commercial banks and smaller cooperative financial institutions. They’re calling for specific actions to promote inclusive technology adoption.
The Committee on Framework for Responsible and Ethical Enablement of Artificial Intelligence (FREE-AI) in the financial sector recently released a report highlighting that the use of Artificial Intelligence (AI) in Urban Cooperative Banks (UCBs) is still quite minimal.
Out of the 264 UCBs surveyed, only 16 reported using AI tools, while the majority hadn’t adopted any at all. Alarmingly, none of the Tier 1 UCBs had implemented AI, and the adoption rates in Tier 2 and Tier 3 banks were below 10%.
In contrast, larger public and private sector banks have been actively exploring AI-driven solutions for things like predictive analysis, customer engagement, fraud detection, and improving operational efficiency.
However, the committee pointed out that even in these larger institutions, AI usage is mostly confined to basic tasks such as chatbots, lead generation, and early-stage predictive analytics. More advanced applications are still quite rare.
The report identified several reasons for the slow uptake in smaller institutions, including cooperatives and Non-Banking Financial Companies (NBFCs): limited capacity, high infrastructure costs, and a lack of compelling business cases for integrating AI into smaller operations.
The committee cautioned that without intervention, AI adoption might end up being dominated by a handful of well-funded entities, leading to systemic imbalances and jeopardizing the goal of financial inclusion.
To help close this gap, the panel suggested establishing “AI Landing Zones”—shared, plug-and-play computing environments powered by Graphics Processing Units (GPUs) that provide secure, compliant infrastructure on a pay-per-use basis. These facilities, akin to cloud-based services offered by Indian Financial Technology and Allied Services (IFTAS), could be managed by RBI, NABARD, or designated Umbrella Organisations for cooperatives.
These AI Landing Zones would enable smaller financial institutions to tap into advanced AI capabilities without the burden of hefty infrastructure costs, helping to create a more level playing field. They would also encourage the ethical and responsible use of AI while adhering to regulatory standards.
The committee stressed that fair AI adoption is vital for the well-being of India’s financial ecosystem. “It’s crucial to ensure that AI adoption happens throughout the entire financial sector in an inclusive, fair, efficient, and sustainable way,” the report highlighted.
If the RBI panel’s proposals are put into action, they could empower thousands of cooperative banks and NBFCs to leap into the AI era, bridging the technological gap that could otherwise leave smaller players behind in an increasingly digital financial world.