Chris Wright, our firm’s co-founder, recently shared his thoughts on the rise of AI workslop with Talk Business & Politics. His commentary draws a parallel between everyday vicious cycles, such as relying on late-day caffeine that disrupts sleep, and the surge in AI workslop, a term used to describe the mass-produced, low-quality content rapidly proliferating online.
One of Chris’s primary concerns is the feedback loop AI slop generates. Harper’s Magazine reports that more than half of online content now comes from bots, suggesting that AI models increasingly train on low-quality material. As models ingest this slop, their outputs degrade, further lowering the quality of the data circulating online. This decline has tangible consequences for workplaces. According to Harvard Business Review, poor AI-generated content often forces employees to spend extra time fixing errors—up to two hours per instance—and can erode team morale.
Chris offers an everyday workplace example to illustrate his thesis. An employee uses AI to generate a report, which reads smoothly but lacks substance. A manager then uses another AI tool to summarize it, compounding the problem. The result is a superficially polished but ultimately unhelpful document that wastes time and obscures meaningful insights.
The key lesson is that businesses should not adopt AI indiscriminately. The solution to workslop is not more AI but smarter, strategic use of it. Companies should assess where AI can genuinely add value—such as assisting with repetitive tasks—and create strong governance policies to ensure safe, effective use. While headlines warn that AI slop is harming productivity, the technology itself is not the enemy. Responsible, targeted use is essential to break the cycle.
To read the full article, visit talkbusiness.net.
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