Understanding the Gartner Hype Cycle: AI in IT Operations 2025

The 2025 Gartner Hype Cycle for AI in IT Operations provides a comprehensive map of where artificial intelligence (AI) technologies stand in their maturity and adoption, especially as they transform IT operations, DevOps, and platform engineering. For business leaders, this Hype Cycle is more than a snapshot of current trends - it’s a strategic tool to guide technology investments and operational transformation for the years ahead.

We’re proud to share that Gomboc.ai is recognized as a Sample Vendor in the “AI Assistants for Infrastructure as Code (IaC)” category in this Hype Cycle, alongside leaders like AWS, Microsoft, Google, Pulumi, and HashiCorp .

Key Insights from the Hype Cycle

1. AI Adoption Is Accelerating—But Trust Still Lags

Gartner predicts a dramatic shift in the coming years:

• By 2028, 60% of all IT operations tools will integrate AI agents (up from <5% in 2024).
• By 2027, 40% of I&O tasks will be augmented by generative AI, up from <5% today.

Yet, with this growth comes a critical decision: which AI models are safe, explainable, and production-ready?

2. Gomboc.ai’s Category: AI Assistants for IaC

AI Assistants for IaC are highlighted as high-benefit innovations already seeing 20–50% market adoption. These tools help teams generate, validate, and manage infrastructure code—enabling faster, more secure deployments.

But not all AI assistants are equal. Many rely on probabilistic models like LLMs, which are powerful but unpredictable. That’s where Gomboc.ai sets itself apart.

The Gomboc Difference: Deterministic AI, Not Vibe Coding

Unlike LLM-based tools that hallucinate or provide variable outputs, Gomboc’s deterministic AI guarantees consistent, compliant, and explainable infrastructure code.

"You can’t risk infrastructure drift because an LLM hallucinated a configuration.”
– Gomboc.ai Engineering Lead

Why this matters:

• Predictable Results – Same input = same output, every time.
• Built-in Compliance – Policy enforcement is embedded, not bolted on.
• Enterprise-Grade – Trusted in regulated industries that require traceability and auditability.

Gartner’s Strategic Recommendations—and Our Take

Gartner advises that organizations:

• Start small with high-value, low-risk AI use cases
• Keep human oversight in every AI-driven workflow
• Choose vendors with built-in compliance and governance
• Continuously monitor AI performance and iterate

We agree—and we’d add: start with deterministic AI when it comes to infrastructure.

What Teams Should Do Now

Pilot with purpose: Start using deterministic AI for IaC remediation in staging or sandbox environments.
Keep people in the loop: Make AI an assistant, not a replacement.
Measure what matters: Track deployment success, error reduction, and policy adherence.
Prepare to scale: As AI matures, early adopters will gain speed, consistency, and security advantages.

Conclusion: AI in ITOps Is Inevitable—But How You Adopt It Matters

The 2025 Gartner Hype Cycle makes it clear: AI isn’t a trend—it’s a foundation for the future of IT operations. But successful adoption depends on trust, control, and accountability. By recognizing Gomboc.ai in the AI Assistants for Infrastructure as Code category, Gartner acknowledges the growing need for deterministic, policy-aligned remediation tools that help teams move faster without increasing risk.

If GenAI is the spark, deterministic AI is the steering wheel.

At Gomboc.ai, we’re proud to be shaping this shift—helping DevOps and platform teams automate safely, deploy faster, and scale securely in a rapidly evolving digital world.

This post is informed by Gartner®, “Hype Cycle for AI in IT Operations, 2025,” 24 June 2025.

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