Global Fintech Fest 2025 puts AI in the spotlight. Held in Mumbai this October, the Global Fintech Fest showcased how AI is redefining digital payments, lending, and fraud prevention. Industry leaders from NPCI and global banks emphasized that the future of fintech lies in intelligent automation and real-time analytics.
RBI pilots AI-based regulatory reporting across major banks. As per IDC’s October 2025 Banking Tech Report, the Reserve Bank of India initiated a pilot with 10 leading banks to automate regulatory reporting using AI. The move aims to reduce manual errors and improve compliance speed by up to 40%.
Enterprise AI spending to surpass $210 billion by year-end. Gartner’s October 2025 Market Forecast revealed that global AI investments are expected to touch $210 billion, driven by banking, healthcare, and retail sectors. Companies are focusing on Gen AI for data analysis, customer personalization, and predictive decision-making.
BCG finds only 5% of firms turning AI adoption into real gains. According to the Boston Consulting Group’s AI Value Realization Report 2025, while AI is widely adopted, just a handful of companies see measurable business impact. The study highlights that strong data foundations and leadership alignment are key to unlocking AI’s full potential.
AI workforce in global banking jumps 25% since 2023. The Evident AI Index (Oct 2025) shows top banks like JPMorgan and HSBC expanding AI-focused roles in analytics, compliance, and customer engagement that AI has officially moved from labs to boardrooms.
Cloud data analytics adoption accelerates among Indian banks. Over 70% of Indian banks have now shifted their core analytics workloads to the cloud, according to IDC. This transition is enabling faster decision-making and real-time portfolio monitoring, a critical step toward fully automated banking intelligence.
AI governance takes center stage in global regulation. The Financial Stability Board (FSB) issued new global guidelines in October 2025 to help banks manage AI risks. The focus areas include transparency, explainability, and ethical AI adoption signaling that “responsible AI” is now a board-level priority.
