{
  "id": 11516525,
  "title": "Asking AI to disagree with you may improve your work",
  "url": "https://urgent.news/2026/10/02/asking-ai-to-disagree-with-you-may-improve-your-work",
  "topic": "ai",
  "section": "AI",
  "published": "2026-10-02T19:30:00.000Z",
  "source": {
    "name": "Fast Company",
    "slug": "fast-company",
    "url": "https://www.fastcompany.com/91617573/asking-ai-to-disagree-with-you-may-improve-your-work"
  },
  "original_language": "en",
  "account": "Rather than entrusting generative AI to handle your tasks, consider leveraging its capacity to challenge and critique your work. Excessive dependence on AI may hinder critical thinking and diminish essential job skills. The phenomenon known as \"cognitive offloading,\" where we rely heavily on AI to offload mental tasks, can result in subpar work output. However, when utilized appropriately, AI can provide knowledge workers with a substantial advantage, according to University of Massachusetts (Amherst) Professor Monideepa Tarafdar in The Conversation.\n\nThe key to maximizing AI's potential lies in introducing \"friction\" by having the AI question your ideas. Research has demonstrated that exploring opposing viewpoints is crucial, especially now that AI models often generate outputs based on users' previous interactions, leading to an \"echo chamber\" effect. This effect may cause users to dismiss information that does not conform to their preconceived notions.\n\nTo counteract this vulnerability, Tarafdar advises users to directly request AI-generated opposing perspectives. For instance, a marketing professional in her study instructed AI to create virtual customers who opposed the product being marketed. The AI's negative feedback included innovative product ideas that the marketing team had not previously considered. Another research participant, an attorney, prompted AI to identify obscure legal loopholes and evaluate potential exploitation, resulting in the AI producing \"surprising but realistic\" scenarios of unethical worker behavior.\n\nTarafdar's findings are supported by additional studies that highlight the benefits of creating \"friction\" with AI. In a study on human-AI collaboration for loan evaluations, researchers found that human-AI collaboration outperformed human-only or AI-only work, with collaboration involving disagreement yielding the most favorable results. Similarly, a study on creative writing found that writers who used AI interactively as a sounding board rather than as a ghostwriter produced superior work. Tarafdar recommends that leaders instruct their employees to employ \"friction-generating queries,\" incorporating their own knowledge and experience to prompt the AI to question its outputs. She emphasizes that while it may seem counterintuitive, adding friction can actually enhance AI's performance.",
  "summary": "Instead of asking AI to do your work, consider asking it to challenge your work. Evidence suggests that heavy reliance on generative AI can reduce critical thinking and erode job skills. The problem of “cognitive offloading”—being too quick to outsource our mental workload to AI—can also lead to shoddy, subpar work. But knowledge workers who use AI correctly can still gain a significant edge,…",
  "key_points": [],
  "editors_take": null,
  "illustration": null,
  "coverage": {
    "outlets": 1,
    "also_reported_by": []
  },
  "ai_generated": true,
  "disclaimer": "Summaries, key points and the editor’s take are written by software from other outlets’ reporting and may contain errors — always check the linked original."
}