How might AI impact spam filtering in the future?

AI may impact future spam filtering through more sophisticated content understanding, better personalization, and improved detection of adversarial attacks. Natural language models could analyze semantic meaning rather than pattern matching keywords.

Personalization will likely deepen as AI better predicts individual user preferences and adjusts filtering accordingly. Messages that appeal to most users might still be filtered for individuals whose behavior suggests disinterest.

Adversarial AI becomes a concern as spammers may use AI to generate content specifically designed to evade filters. The arms race between spam generation and detection will likely intensify, requiring continuous model evolution on both sides.