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AI content surge strains freelancers, devalues human work online

AI is reshaping writing, content creation, and the creative industry, revealing a critical 'content divide' and rising stress among freelancers.

Three Unrelated Stories About AI & Writing Tell the Same Story
Image: Search Engine Journal

Artificial intelligence is increasingly generating web content, contributing to declining content quality and heightened stress among human creative professionals globally.

Micah Nathan, an MIT lecturer, said students who outsourced essays to AI tools often lost the transformative learning experience inherent in the writing process, producing what he described as “faultily faultless” prose.

A study by Graphite reported that AI-generated articles now constitute approximately half of all new web content, a level that has plateaued, according to Megan Morrone of Graphite. This challenges earlier predictions of an immediate AI takeover but raises concerns about the dilution of overall content quality online.

Data from The Accountancy Partnership indicated that more than 50 percent of freelance creatives reported increasing stress affecting their work. Client budget cuts were cited as their biggest challenge, often leading them to use AI to produce more content faster to meet demands.

Lee Murphy, managing director of The Accountancy Partnership, said the pressure on freelancers was intensifying as they contended with reduced client spending and the need to maintain output.

Google’s helpful content systems, implemented since 2022, aim to identify and reward content that demonstrates genuine human experience and specific expertise. These are precisely the qualities AI tools struggle to replicate convincingly, according to Google’s public statements on its search algorithms.

Dan Klein, a professor at the University of California, Berkeley, told The Guardian that the increasing reliance on AI for content creation, coupled with shrinking budgets for human creatives, creates a feedback loop. This loop often results in low-quality AI content training models that subsequently produce even more low-quality content, further devaluing human input and expertise.

Emma Hull, a tech reporter for Axios, reported that this cycle poses a significant challenge to maintaining high standards for online information, as the economic pressures on human writers continue to mount.


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