Most enterprises will hand root cause analysis to AI agents within two years

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Elastic's 2026 observability report finds 85% of organizations already use GenAI for observability, with that figure expected to reach 98% within two years. Thaddeus Walsh, Principal Solutions Architect at Elastic, argues enterprises are approaching an inflection point where agent-led investigations will replace human-driven root cause analysis (RCA). AI agents can autonomously monitor telemetry signals (logs, traces, metrics), interpret incidents, and change application configuration states. Beyond SREs and IT ops, non-technical teams like finance, sales, and compliance can also benefit from democratized access to observability data via GenAI assistants. Key barriers remain: fragmented observability ecosystems, insufficient documentation, and organizations still requiring human approval at every step of AI-driven workflows.

7m read timeFrom thenewstack.io
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Table of contents
The impact of GenAI for observability data and how AI agents can helpSo, why is observability important to enterprise IT teams?How GenAI and AI assistants are typically used by SREs and IT operationsCan organizational users outside of IT also benefit from observability data access?Here’s what employees outside of IT can do using AI-driven observabilityHow can organizations democratize their AI-driven observability to increase its value?
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