// content quality

Source: The Next Web

LinkedIn's crackdown on low-effort AI content follows user defection. As its feed fills with generic, mass-produced posts, professionals are migrating to Discord communities, Slack groups, and specialty forums where curated human conversation still functions. This creates an opening for platforms that filter for signal over volume—making content authenticity and human editorial judgment defensible business models in professional networking.

Source: Gettheleverage

The piece argues that dismissing AI-generated content as worthless "slop" misses why it proliferates: it's economically rational for creators chasing attention and sponsorships on attention platforms, even if it degrades the overall reading experience. The problem isn't that AI content exists—it's that LinkedIn's algorithmic incentives, newsletter monetization models, and founder-worship culture reward volume and confessional oversharing regardless of authenticity, making AI generation a logical tool rather than a quality failure. As long as the economic structure rewards posting velocity over curation, expecting creators to opt out of AI assistance is naive. Platforms would need to change what gets distributed and paid for.