AI Is Changing DevOps—Starting with Infrastructure as Code

Davlet

23 Jun 2025 — 1 min read

If you thought AI wouldn’t impact DevOps as much as it’s transforming software engineering because DevOps is somehow special or more complex—you might already be behind.

AI’s impact on Infrastructure as Code (IaC), the standard for scalable and manageable cloud setups, is already well underway.

In our own startup journey, we initially skipped IaC almost entirely, aside from a few Ansible playbooks and bash scripts. It felt too complex and unnecessary for our small-to-medium setups, especially when the infrastructure didn’t change often. A few clicks in AWS or Azure got the job done much faster at the time.

But that’s changed. Today, starting with IaC isn’t just practical it’s often the easier and more scalable option from day one.

IaC adoption has accelerated significantly, coinciding with the rise of AI tools. Terraform AWS provider downloads jumped from 1 billion to 2 billion in just a year (2023). Two-thirds of all-time Google Cloud provider downloads happened during that same period. And more notably, the number of teams fully adopting IaC tripled from 2023 to 2024.

This isn’t just a trend it’s a shift in how modern infrastructure is managed.

AI-powered IaC brings clear advantages: consistent environments, better visibility, easier security reviews, and faster iteration.

Of course, introducing AI into DevOps workflows isn’t without its challenges. It raises new questions around security, correctness, trust, data privacy, and even how we conceptualize infrastructure design.

We’ll explore those topics in upcoming posts.

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