Nutanix Enterprise Cloud Index Finds AI Is Driving Fast Container Adoption whereas Shadow IT and Organizational Silos Create AI Dangers

• Organizational silos create new AI dangers

• Shadow IT is creating AI challenges

• Brokers unlock monumental potential in organizations

• Containers are the inspiration of recent functions, with AI as key driver

Nutanix, a frontrunner in hybrid multicloud computing, introduced the findings of its eighth annual Enterprise Cloud Index (ECI) survey and analysis report which measures world enterprise progress with cloud adoption. This yr’s report appeared carefully on the challenges IT executives face as they navigate the speedy enhance of AI use and want for utility and infrastructure modernization within the enterprise.

The speedy rise of AI adoption within the enterprise during the last yr is forcing a wave of infrastructure modernization, as corporations race to construct and run functions extra effectively. In actual fact, containers have turn into a core part of the enterprise utility technique with the survey exhibiting that 85% of respondents report that AI is accelerating their adoption of containers to enhance velocity, reliability, and scalability.

“The findings point out organizations want enterprise-grade safety, resilience, and portability as AI workloads can run anyplace,” mentioned Lee Caswell, SVP, Product and Options Advertising at Nutanix. “Organizations would additionally profit from a standard working surroundings for digital machines and containers that permits their IT leaders to scale AI confidently throughout hybrid environments.”

Additionally Learn: AiThority Interview With Arun Subramaniyan, Founder & CEO, Articul8 AI

Key findings from this yr’s report, based mostly on survey responses, embody:

• Organizational silos create new AI dangers: Whereas AI adoption is driving innovation, it is usually introducing operational challenges. Eighty-two p.c of respondents imagine silos between enterprise items and IT make it tough to successfully execute know-how initiatives, slowing deployment timelines and rising complexity.
• Shadow IT is creating AI challenges: Seventy-nine p.c of respondents encounter AI functions or brokers being applied by workers in non-IT features. Eighty-seven p.c imagine unauthorized AI use introduces threat, together with publicity of delicate knowledge and mental property. This highlights the necessity for nearer collaboration between IT groups and enterprise stakeholders to make sure AI deployments stay safe, compliant, and aligned with organizational targets.
• Brokers unlock monumental potential for organizations: A majority of IT executives (61%) anticipate AI brokers to boost buyer or worker experiences. Fifty-eight p.c additionally anticipate that AI brokers will enhance productiveness and effectivity. Moreover, some imagine that AI brokers can play a deeper function with 57% seeing potential for AI brokers to create new merchandise, companies, or income streams.
• Information sovereignty is non-negotiable: For 80% of respondents, knowledge sovereignty is a excessive precedence when making infrastructure selections together with the place to make the most of containers. In actual fact, compliance obligations usually drive organizations to maintain knowledge bodily throughout the nation the place it was collected. Greater than half (57%) really feel the necessity to run their infrastructure inside a single nation, whether or not on-premises or by way of a neighborhood cloud area, largely as a consequence of safety or knowledge safety considerations.
• Containers are the inspiration of recent functions, with AI as the important thing driver: Organizations are turning to containers to assist AI-enabled workloads and fashionable utility growth. Eighty-seven p.c of respondents anticipate the usage of containers for functions to extend over the subsequent three years, whereas 83% say they’re already constructing new functions in containers. Additional, 85% of respondents imagine AI is accelerating container adoption which highlights why enterprises must evolve their infrastructure methods to deal with containerized workloads.
• The directive to deploy AI functions comes from the highest, however infrastructure will not be prepared to completely assist it: Fifty-nine p.c of respondents anticipate that their group can have greater than 5 AI-enabled functions within the subsequent three years. But if their group wanted to deploy AI workloads on-premises, 82% view their present infrastructure as not absolutely able to assist this.

For the eighth consecutive yr, Nutanix commissioned a world analysis research to evaluate the state of cloud adoption, containerization, and GenAI utility deployment. Carried out in November 2025 by Wakefield Analysis, the survey gathered responses from 1,600 cloud, IT, and engineering executives with no less than a manager-level title. Respondents symbolize organizations with 500 or extra workers throughout Australia, Brazil, France, Germany, India, Italy, Japan, Mexico, the Netherlands, the Kingdom of Saudi Arabia, Singapore, Spain, the UK, and the US.

Additionally Learn: Low-cost and Quick: The Technique of LLM Cascading (Frugal GPT)