While AI tools once gave creators an edge, they now risk producing democratized, undifferentiated output. IBM's AI VP, who grew to 200k followers, now uses AI less. The new edge is spending more time on unique human thinking and using AI only for initial ideation, not final writing.

LinkedIn is penalizing low-quality AI content while simultaneously offering AI tools. This signals that the platform wants users to leverage AI as a collaborator to enhance authentic, human-generated ideas, not as a replacement for original thought.

Relying on AI without applying critical thinking produces "work slop"—outputs that look polished on the surface but lack genuine depth or substance. This can be dangerously misleading and devalues the quality of work by giving a false sense of security.

The ease of generating content with AI led to a flood of low-effort posts, turning platforms like LinkedIn into showcases for "AI slop." In response, companies like Substack are rolling out anti-AI tools to detect and disincentivize machine-generated content, aiming to preserve quality and human authenticity.

The risk of unverified information from generative AI is compelling news organizations to establish formal ethics policies. These new rules often forbid publishing AI-created content unless the story is about AI itself, mandate disclosure of its use, and reinforce rigorous human oversight and fact-checking.

The initial hurdle of getting teams to use AI is over. The more difficult problem is ensuring they use it correctly to produce high-quality work, not just 'slop'—low-effort content generated by outsourcing taste and judgment to models like Claude.

'AI Slop' flourishes when leaders don't explicitly define what 'good' looks like. This failure, combined with decentralized tool usage and a lack of a central source of truth, allows low-quality, AI-generated work to become the default standard within an organization.

As AI makes content creation ubiquitous, the internet is flooded with shallow, generic "AI slop." Consumers are adept at spotting it, with 59% saying it damages their trust in a brand. This creates a premium for human-crafted, authentic stories.

Instead of making AI mimic a human's voice, teams should embrace AI-generated text for internal communications. This is faster for the creator, and the focus shifts to the quality of the underlying thought. The new social contract requires the author to stand by the content, not the prose.