If an AI system designed for customer support begins to show a decline in performance due to increased user traffic, how would you mitigate the challenges related to scalability and maintain service quality?

When an AI system faces scalability issues due to increased traffic, the most effective solution is to implement load balancing and auto-scaling. This ensures that resources are allocated efficiently to handle varying levels of traffic, maintaining service quality and preventing performance degradation.