LinkedIn is intensifying efforts to address low-quality AI-generated content after research found that more than 40% of long-form posts on the professional networking platform were generated by artificial intelligence. The findings have raised questions about content quality, originality, and the growing influence of AI writing tools on professional social media.
According to CNN, LinkedIn, which is owned by Microsoft, increasingly views generic AI-written posts as a challenge because repetitive content can reduce the platform’s usefulness for professionals, businesses, and job seekers.
The issue has become part of a wider online discussion about “AI slop,” a term commonly used to describe low-quality, repetitive, or mass-produced content created with artificial intelligence. Although AI tools can help users communicate more efficiently, excessive reliance on automated writing can make online discussions feel less personal and distinctive.
A July report published by AI-content research firm Pangram found that more than 40% of long-form LinkedIn posts examined in its research were AI-generated. The report also identified substantial AI-generated content on other platforms, including X and Medium, where the reported share was around 30%.
Reddit and Substack recorded lower levels in the comparison cited by the report. However, the findings should be interpreted within the scope of the research rather than treated as a measurement of every post published across these platforms.
LinkedIn occupies a different position from many other social networks because its users primarily rely on the platform for professional networking, career development, recruitment, industry discussions, and business promotion.
As a result, the quality and credibility of posts can influence how users perceive professional expertise. When similar AI-generated posts repeatedly appear in feeds, users may find it harder to discover original insights, meaningful discussions, and useful professional experiences.
AI writing tools have become increasingly accessible, allowing users to generate posts, summarize reports, improve grammar, and develop content ideas within seconds. These capabilities can save time and help people who struggle with writing communicate more clearly.
However, problems can arise when users publish AI-generated material without reviewing its accuracy, adding personal experience, or checking whether it offers anything useful to readers. Generic advice, repeated motivational statements, and formulaic professional updates can contribute to an increasingly uniform online experience.
For LinkedIn, the challenge is not simply the presence of artificial intelligence. The more important question is whether content provides value to readers, encourages meaningful interaction, and reflects genuine knowledge or experience.
Businesses and content creators also face a practical challenge. While AI can support content production, publishing large volumes of similar material may weaken audience trust and make individual voices less recognizable.
A more balanced approach involves using AI as a writing assistant rather than allowing it to replace original thinking. Users can employ these tools to organize ideas, improve readability, and check drafts while contributing their own analysis, examples, and professional insights.
The reported findings from Pangram suggest that AI-generated writing has become a significant part of the content appearing on professional networking platforms. Nevertheless, the percentage of AI-generated posts alone does not establish that all such content is low quality or that every AI-assisted post lacks originality.
As LinkedIn responds to concerns about repetitive content, the platform’s challenge will be to maintain a useful professional environment while allowing legitimate AI-assisted communication. The distinction between helpful automation and low-value mass-produced posts is likely to remain central to the debate over the future of professional social media.