Yeap. Autoscaling strategies are often traditionally hand-coded to depend on the costs associated of not completing transactions or site going down from a business impact analysis (BIA). To add AI/ML would need a number of business rules, metrics, automation parameter limitation and (a) fitness function(s) in order to use it.

Examples of hard-coded autoscaling strategies:

Shopping cart or ad delivery network -> anticipate load with extra capacity by scaling up instances before they're needed and kept until they aren't beneficial.

Neighborhood social network:

- scale +1 instances after avg latency > X0 ms for Y0 minutes

- scale -1 after avg latency < X1 ms for Y1 minutes