Innovation at Speed: Navigating the AI Era While Balancing Risk

Technology has fundamentally evolved into a primary board-level growth lever, moving well beyond its traditional role as a back-office support function. For the modern CIO, the mandate is clear: compete in the AI era by reshaping growth, productivity, and competitiveness through scalable technology. However, the path to value is often blocked by a widening Velocity Gap between traditional IT cycles and the rapid demands of digital innovation.

Closing the Velocity Gap

To deliver on the promise of AI, organizations must achieve a new level of operational velocity. Success in this era requires a fundamental shift in how we measure and deliver technology services:

• AI is the New Normal: “By 2029, 70% of enterprises will deploy agentic AI to semiautonomously operate their IT infrastructure”¹.
• App Modernization is Essential:“By 2028, more than 90% of projects involving new development and refactoring of legacy applications will use container technology”²
• Hybrid Multicloud is Permanent: Cloud is an operating model that unifies every environment. “By 2028, 70% of I&O functions will be expected to operate as platform-centric.”³

Modernizing Now: AI as the Catalyst for Containerization

AI is now the primary catalyst for modernizing infrastructure through container adoption. Over the next year, the technical landscape will shift toward containerization as the enterprise standard for AI/ML deployments:

• Mainstream Projections: “By 2027, more than 75% of all AI/ML deployments will use container technology as the underlying compute environment” ⁴.
• Accelerated Growth: This represents a massive leap from the adoption rate of less than 50% seen in 2024⁴
• Managing Complexity: CIOs must navigate this growth across a diverse landscape that includes virtualized and containerized workloads across data centers, public clouds, and edge sites— without multiplying operational overhead.

Balancing Risk: The CIO Priority List

Introducing emerging technology presents a fundamental dilemma: the pressure for rapid experimentation versus the requirement for operational stability.

Critical pillars that must remain in balance include:

• Operational Integrity: Prioritizing reliability, resilience, security, and compliance.
• Value and ROI: Providing transparency on cost, usage, and ROI to justify AI investments to the board
• Human Capital: Developing the future-ready skills and talent required for an AI-centric world.
• Expectation Management: Educating stakeholders and managing the cultural shift toward experimentation.

The Path Forward: Build Once, Run Anywhere

Nutanix offers a "Build Once, Run Anywhere" strategy to simplify this complex landscape:

• A Unified Experience: A single platform that manages both virtual machines and containers through consistent data services that enable business continuity, while supporting compliance programs .
• Support for Hybrid Cloud Sovereignty: The ability to run supported applications across major public clouds (AWS, Azure, and GCP) from bare metal to native cloud environments—based on business needs, not technical limitations.
• Enterprise AI Scalability: Integrated platform services designed specifically to scale AI workloads with robust security posture and predictable performance in a cost-conscious manner, incorporating evolving concepts like Tokenomics.

Engineering for Sustained Agility

The path to a successful AI-driven enterprise requires more than just rapid experimentation; it demands a fundamental shift in how we design and operate our infrastructure. To bridge the Velocity Gap, CIOs must move away from fragmented, specialized silos and toward a unified, cloud-native and digital foundation that supports any application across the data center, edge, and public cloud.

By embracing a "Build Once, Run Anywhere" strategy, you can simplify the complex technology landscape and enable technology to become a powerful board-level growth lever. Ultimately, the organizations that hold competitive advantage prioritize operational consistency to manage costs and mitigate risk, allowing their people to focus on innovating and building business capabilities that define the future.

¹ Gartner, Predicts 2026: AI Agents Will Transform IT Infrastructure and Operations, Published 04 December 2025, https://www.gartner.com/en/documents/7242030

² Gartner, Technology Choices for Successful Cloud-Native App Modernization, Published 07 February 2025, https://www.gartner.com/en/documents/6157591

³ Gartner, Blueprint for Platform-Centric I&O, Published 01 December 2025, https://www.gartner.com/en/documents/7231130

⁴ Gartner, Predicts 2026: Container Management Becomes an AI Enabler, 03 February 2026

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