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Complimentary Gartner® research, courtesy of CBTS

Gartner® Top AI Trends in Infrastructure and IT Operations for 2027

Top AI Trends in Infrastructure and IT Operations for 2027 is a Gartner report that CBTS offers complimentary through January 2027. The report names five AI trends and recommended actions for each.

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What’s in the full Gartner report?

The full report includes Gartner strategic planning assumptions, recommended actions, and supporting analysis for all five trends, covering 2027 through 2030.

  • Strategic planning assumptions: Gartner predictions for each trend, from now through 2030.
  • Drivers and implications: Gartner analysis of what’s fueling each trend, along with implications for I&O teams.
  • Recommended actions: What I&O leaders should do first, trend by trend.

Complimentary access through January 2027.

Three Gartner predictions from the report

50%

“By 2030, 50% of organizations will use AI agents with minimal human involvement in IT operations, up from nearly 0% in 2026.”

80%

“By 2029, 80% of large enterprises will operate production AI workloads across at least three infrastructure environments, including public cloud, neoclouds, on-premises data centers and edge locations.”

25%

“By 2030, 25% of enterprises will merge their network operations center (NOC) and security operations center (SOC), up from 5% in 2026, realizing an over 25% reduction in total spend on tooling and staff resources."

Source: Gartner, Top AI Trends in Infrastructure and IT Operations for 2027, Jonathan Forest, Chandra Mukhyala, et al., 14 Sep 2026.

Executive summary

What are the Gartner five trends shaping I&O for 2027?

Here’s what Gartner says about each trend. For the full analysis and recommended actions, download the report.

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Source: Gartner, Top AI Trends in Infrastructure and IT Operations for 2027, Jonathan Forest, Chandra Mukhyala, et al., 14 Sep 2026.

  • AI agents accelerate autonomous IT operations
    “I&O teams are looking to drive efficiency, save money and deliver better outcomes while addressing skills and resource gaps.”
  • Agentic AI creates a token economics challenge
    “The transition from simple conversational chatbots to autonomous ‘agentic AI’ workflows will drive an exponential explosion in token consumption.”
  • AI inference drives the rise of hybrid AI infrastructure
    “There is a fundamental shift to productionalized use of AI by organizations, which results in workloads moving outside solely cloud environments to more hybrid infrastructure to address privacy, cost, performance and sovereignty needs.”
  • AI converges IT operational risk and cybersecurity risk
    “The convergence of I&O and security teams will be driven by AI’s role in common tooling, desire to shorten infrastructure security patching cycles, requirements to secure nonhuman identities and increasing importance of AI infrastructure.”
  • I&O emerges as the enterprise AI platform orchestrator
    “While some operational responsibilities may be diminished, the increasing importance of AI infrastructure and I&O’s role in maintaining the AI platform will be critical to AI success and minimize shadow AI.”

Source: Gartner, Top AI Trends in Infrastructure and IT Operations for 2027, Jonathan Forest, Chandra Mukhyala, et al., 14 Sep 2026.

Gartner recommended actions for each trend are in the full report.

Why is CBTS sharing this Gartner report?

CBTS is sharing this report because we believe all five trends depend on the same foundation: data, network, compute, security controls, and people. CBTS has designed, built, and operated that foundation for mid-market and enterprise organizations since 1994.

Enterprise scale with real flexibility

CBTS supports 3,000+ clients across North America and scopes AI work from a single inference workload to a multi-environment hybrid platform.

Deep technical expertise, reliably delivered

Senior CBTS engineers across AI & Data, Network & Infrastructure, and Cybersecurity work as one team, so the agent guardrails, network fabric, and security model are designed in tandem.

Partnership that goes the distance

CBTS Managed Services runs, monitors, and tunes AI infrastructure 24x7 after deployment.

“Organizations that get AI into production most quickly aren’t deploying the largest models. They’re succeeding because they’ve built the right foundation — the data, network, and operating model that keeps it all running.”

Mark Giles

Chief Technology Officer, CBTS

Complimentary Gartner® report

Get the report

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Frequently asked questions

 

Is the Gartner AI trends report complimentary? Yes. CBTS offers complimentary access to Top AI Trends in Infrastructure and IT Operations for 2027 through January 2027. Complete the form on this page and CBTS e-mails a link to the full report.
Does this report rank vendors? No. The report covers trends and predictions and does not rank vendors. Gartner does not endorse CBTS or any vendor in its research.
What is token economics in AI? Token economics is the cost model for AI services that charge by the token, a small unit of text a model reads or writes. Because agentic workflows can consume very different numbers of tokens from one run to the next, AI operating costs become usage-based and harder to forecast.
What is NOC and SOC convergence? NOC and SOC convergence means combining a network operations center (NOC) and a security operations center (SOC) into shared teams, tools, or processes. Organizations pursue it so that one team can see and respond to incidents that are both operational and security issues.
How does CBTS help I&O teams prepare for agentic AI? CBTS designs, builds, and manages the network, data, compute, and security foundation that AI workloads run on through its AI & Data, Network & Infrastructure, Cybersecurity, and Managed Services practices.

Gartner, Top AI Trends in Infrastructure and IT Operations for 2027, Jonathan Forest, Chandra Mukhyala, et al., 14 Sep 2026. ID G00846101.

GARTNER is a trademark of Gartner, Inc. and/or its affiliates.

Gartner does not endorse any vendor, product or service depicted in its research publications, and does not advise technology users to select only those vendors with the highest ratings or other designation. Gartner research publications consist of the opinions of Gartner research organization and should not be construed as statements of fact. Gartner disclaims all warranties, expressed or implied, with respect to this research, including any warranties of merchantability or fitness for a particular purpose.