The Top CIO Challenges, According to 12k+ of Your CIO Peers

From anonymous surveying to one-on-one advisory sessions, Gartner continuously monitors what’s new and now for CIOs. Here’s what we’ve heard from them in 2026. 

April 17, 2026

Key CIO challenges range from scaling AI to defending against it

Rather than rely on formal polling, the Gartner CIO Report draws on the inquiries we receive from our CIO clients every day and their interactions with our analysts and executive partners (EPs). This qualitative reporting on what matters to CIOs can help you identify your own challenges and determine next steps.

The first CIO Report of 2026 reveals three common CIO pain points for leaders: 

  • Scaling generative AI
  • Optimizing AI Cloud Investments and cost-optimization
  • Cyberthreats including AI-driven attacks

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1H 2026 Gartner CIO Report

See the major CIO challenges reported by Gartner clients — and ways to address them.

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    CIOs Face Critical Challenges in Scaling GenAI, Optimizing AI Cloud Investments, and Defending Against Sophisticated Cyberthreats

    Gartner EPs are former CIOs who work directly with clients to develop and hone specific strategic initiatives and execution plans. Most often, they are asked:

    1. How can we responsibly scale GenAI and automation across the enterprise?

    Most organizations still struggle to prioritize impactful use cases. CIOs must urgently shift from fragmented AI pilots to a unified enterprise platform that eliminates bottlenecks and enables scalable value delivery.

    AI investment is accelerating, but 59% of initiatives fail to reach production. CIOs cannot afford slow or unfocused execution. Scaling responsibly now requires adaptive governance that keeps pace with rising risks, costs and regulatory expectations. AI must be treated as a living product — continuously monitored, refined and improved — to avoid value erosion over time.

    Talk to a Gartner Executive Partner. As a client, you can work directly with an EP mentor. Learn more today.

    2. How do we optimize our AI cloud investments and manage costs effectively?

    CIOs must shift from episodic cloud cost control to a strategic, always-on discipline as AI consumption accelerates and decentralized spending creates blind spots across the enterprise.

    Eighty-one percent of enterprises plan to increase AI funding, yet dynamic, unpredictable cloud usage threatens budgets and obscures ROI. To respond, CIOs must gain complete visibility into all AI and cloud spend, unify FinOps and governance, and enforce real-time accountability across IT and business units.

    3. How do we protect our organization from increasingly sophisticated cyberthreats, including AI-driven attacks?

    As AI‑enabled threats accelerate and attack surfaces expand, CIOs must pivot from reactive security to proactive, intelligence-driven cyber resilience.

    Ninety-three percent of boards see cybersecurity as a threat to shareholder value, forcing CIOs to treat protection as a strategic business outcome, rather than a technical function. 

    To keep pace with autonomous attacks, CIOs must modernize security foundations, unify telemetry, automate responses and embed AI-specific risks into enterprise governance. With deepfakes, embedded AI and shadow AI proliferating, continuous monitoring and adaptive controls are mandatory.

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