Financial services firms are moving beyond AI pilots to measurable returns and governance, with 68% reporting quantified positive ROI and early adoption of autonomous AI systems.

What happened

Snowflake research shows financial services companies have shifted from experimenting with AI to deploying it across high-value workflows. Sixty-eight percent of financial services respondents report they have quantified positive ROI from generative AI, and 30% say they are already using agentic AI (systems that reason through tasks and complete workflows within defined boundaries) in production. Ninety-two percent of firms are training, tuning or augmenting large language models with proprietary company data.

Why it matters

Financial services leads other industries in positive workforce impact from AI—78% of respondents say AI-powered automation has had a net positive job impact, compared with 75% in tech and telco and 68% in advertising and media. Rather than replacing jobs wholesale, AI is helping employees handle repetitive, data-heavy tasks so they can focus on higher-value work. For executives, this signals that AI success depends on accountability (quantified business value) and governance (controls around data access, permissions and auditability), not just technology novelty.

What to watch

Among firms already using agentic AI in production, 94% report better data analytics and strategic recommendations, 92% report enhanced forecasting and scenario planning, and 91% report improved customer-facing interactions. The constraint will be data governance—as AI systems handle sensitive enterprise and customer data, firms must govern access, monitor quality and maintain transparency to sustain competitive advantage.