Financial services organizations are rapidly embracing artificial intelligence (AI), but governance shortcomings, infrastructure limitations, and operational challenges are preventing many from realizing its full potential, according to the latest Financial Sector Enterprise Cloud Index (ECI) report from Nutanix.
The study highlights a sector at a critical inflection point, where AI adoption is accelerating across customer engagement, fraud detection, risk management, and regulatory compliance. However, many institutions remain unprepared to scale AI securely and effectively.
One of the report’s most concerning findings is the widespread use of shadow AI. Nearly 66% of IT leaders reported that employees are using unsanctioned AI tools, while 86% believe such usage poses a significant business risk. The findings underscore growing concerns around data security, compliance, and governance as AI adoption expands across enterprises.
“Scaling AI successfully requires more than access to models and data. Organizations need modern infrastructure, stronger governance frameworks, and greater operational readiness to unlock AI’s full value.” — Mohammad Abulhouf, VP & GM, Middle East & Africa, Nutanix
The report also found that organizational and process-related issues are creating greater barriers to AI deployment than technology itself. Process complexity was cited by 38% of respondents as the biggest obstacle to scaling AI initiatives, while 34% pointed to leadership, governance, and skills-related challenges. Only 28% identified technical limitations as the primary concern.
Data sovereignty has emerged as another key challenge. While 79% of financial services organizations consider data sovereignty a strategic priority, 62% continue to run containerized workloads in public cloud environments, creating what Nutanix describes as a growing “sovereignty debt.”
At the same time, AI is driving increased adoption of container technologies. About 90% of respondents said AI initiatives are accelerating container adoption, and 89% expect containerization to continue growing as organizations modernize their application environments.
The report also revealed significant infrastructure readiness concerns. Nearly 68% of respondents acknowledged that their on-premises infrastructure is not fully equipped to support AI workloads, while 64% rely on third-party providers to bridge capability gaps.
According to Mohammad Abulhouf, Vice President and General Manager, Middle East & Africa at Nutanix, financial institutions must strike the right balance between innovation, control, and resilience as regulatory expectations around data governance and sovereignty continue to evolve.
The findings suggest that while AI adoption in financial services is moving quickly, long-term success will depend on organizations strengthening governance, infrastructure, and operational readiness alongside technological innovation.
