AI-Generated “Slop” Threatens Trust in Professional Communication

Commentators at *TechRadar Pro* argue that AI tools are increasingly used to produce LinkedIn posts, investor decks, sales outreach, and conference presentations without the underlying human analysis that traditionally gave those materials credibility. The author, Emma McGrattan, CTO of Actian, describes this output as “AI-assembled slop” that borrows the authority of hard-won perspective without having earned it.

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McGrattan contends that the flood of high-volume, low-signal AI content functions as a denial-of-service attack on professional attention, degrading the communication channel for anyone trying to convey genuine insight. Trust, she notes, is the mechanism that enables work to get done; when “slop” replaces thoughtful content, the default posture of audiences shifts from curiosity to suspicion.

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The article cites several concrete symptoms: response rates to AI-drafted cold outreach have collapsed; investors are becoming faster at spotting pitch decks that were assembled by prompts rather than discovery; product teams that rely on AI-generated prototypes experience higher churn; and new questions on Stack Overflow are down almost 80 % year over year. All of these observations are presented as the author’s assessment of current market behavior.

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According to McGrattan, frontier AI models are trained on the accumulated output of human knowledge-sharing—forums, papers, and articles. If that knowledge base is increasingly supplanted by AI-generated “slop,” the future knowledge commons risk stagnation. Credibility therefore becomes the scarcest resource in a communication ecosystem that is being flooded with counterfeits.

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The author calls for a clear distinction between AI-assisted work that still involves human judgment and output that is purely model-generated. She urges practitioners to stop labeling the latter as a strategic product, to be transparent about the role of AI, and, when appropriate, to say nothing rather than present an algorithmically optimal but empty statement. Protecting credibility now, she argues, will preserve the value of professional influence and keep the knowledge base viable for future innovation.

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