Will spam filters become fully AI-based?

Spam filters already incorporate machine learning extensively, and AI components will increase. But "fully AI-based" mischaracterizes how filters work. Rules, reputation data, authentication checks, and human feedback remain essential alongside AI evaluation.

Current AI in filtering: content analysis, sender behavior modeling, user preference learning, and anomaly detection. These complement rather than replace authentication requirements, reputation systems, and explicit rules for known threats.

Future evolution: more sophisticated behavioral analysis, better understanding of context and intent, faster adaptation to new spam techniques. But fundamental requirements (authentication, good practices, engaged recipients) remain human-definable standards that AI enforces rather than replaces.