AI models may experience inconsistent performance due to various factors such as server load, A/B testing, or unnoticed bugs. Users often perceive these changes as a decline in quality, but companies typically deny any alterations, leaving users unaware of potential issues. The experience of Anthropic highlights the lack of transparency in AI model management.