Are AI Observability Tools Actually Helping?

Observability tools have been feeling very different lately. Almost every platform now claims to offer some “AI-powered” feature, such as anomaly detection, root cause analysis, automated insights, and even suggested fixes. But I’m not sure how much of it is actually useful in workflows. From what I’ve seen, most teams still deal with: Too many alerts Jumping between logs, metrics, and traces Spending so much time figuring out root causes And even with AI features, a lot of tools still feel like