The increasing reliance on artificial intelligence in the workplace is having an unexpected consequence: a significant decline in productivity. According to a joint study by Stanford University researchers and a workplace performance consulting firm, workers are spending more time fixing low-quality AI-generated content than actually being productive. This phenomenon, dubbed "AI slop," refers to the hastily assembled, mediocre work product that results from relying too heavily on AI tools.
The problem with AI slop is that it masquerades as good work, but lacks the substance and nuance required to meaningfully advance tasks. Rather than freeing up time for more strategic or creative work, AI slop is actually creating more work for humans, who must then review, edit, and correct the AI-generated content. This not only eats into productivity time but also leads to frustration and burnout among workers.
Moreover, colleagues who rely on AI-generated work are perceived as less creative, capable, and reliable. The use of AI slop can damage a worker's professional reputation and undermine their credibility.
The study highlights the need for companies to rethink their approach to AI adoption. Rather than simply implementing AI tools and expecting productivity gains, companies need to carefully consider the potential risks and downsides of AI-generated work. By prioritizing quality and nuance over speed and efficiency, companies can ensure that AI is used in a way that enhances productivity and supports the well-being of workers.
