Cloud native infrastructure is getting harder to provision, govern, and operate at scale. Infrastructure as code (IaC) skills are scarce, and generic LLMs often generate code without live environment context or organizational guardrails. 

The Gartner® Market Guide for AI Assistants for Infrastructure as Code examines how AI assistants can support configuration generation, policy as code enforcement, drift management, and cost-aware provisioning throughout the infrastructure lifecycle. 

Key takeaways 

• Why traditional IaC approaches create cloud-native complexity, drift, security risk, and unexpected spend 

• How context-aware AI assistants are evolving beyond code completion toward agentic IaC workflows  

• What mandatory and optional capabilities to evaluate when selecting an AI IaC assistant for your environment 

• How platform engineering, SRE, and cloud architecture roles may evolve toward AI-augmented orchestration