According to a new report from Pangram, every fourth social media post, particularly on LinkedIn, is now created by artificial intelligence, triggering a global authenticity crisis in digital content.
What Happened
Pangram's research revealed that the share of AI-generated content has reached 25% in social media. This process is leading to a sharp increase in the volume of interchangeable and "smooth" text that lacks unique human experience.
Context
Against the backdrop of mass language model usage, there is a risk of devaluing standard digital content. Experts note that the excess of templated AI noise makes it difficult to find high-quality expertise and undermines trust in traditional text formats.
Why It Matters for the Industry
For the AI industry and content creators, this means a shift in demand: from the simple ability to generate text to the necessity of verifying reality. An increase in the market for synthetic content detection tools, authorship protection, and protocols for confirming human involvement is expected.
Why It Matters for Users
It is becoming harder for readers to filter useful information from "templated" noise. Value is shifting from grammatical proficiency to the presence of "unforgeable" data—personal experience, specific details, and original observations that AI is unable to reproduce.
What Remains Unknown / Limitations
The discussion is qualitative and socio-economic in nature; therefore, the exact mechanisms of the long-term transformation of the attention economy remain a matter of projection.
Sources
Author
Look at AI, Editorial Team