{
  "id": 9739159,
  "title": "Why making AI too easy to use is a risk for your business",
  "url": "https://urgent.news/2026/09/25/why-making-ai-too-easy-to-use-is-a-risk-for-your-business",
  "topic": "ai",
  "section": "AI",
  "published": "2026-09-25T08:44:49.000Z",
  "source": {
    "name": "TechRadar",
    "slug": "techradar",
    "url": "https://www.techradar.com/pro/why-making-ai-too-easy-to-use-is-a-risk-for-your-business"
  },
  "original_language": "en",
  "account": "The convenience of AI brings speed but also risks weakening critical thinking skills within businesses. Inefficiency breeds innovation; AI reduces the need for problem-solving, thus weakening the desire to improve those skills. This trend is known as the \"productivity trap,\" where quick answers lead to reduced exploration of new ideas, stifling creativity within organizations. Studies show that when answers are readily available, people tend to rely more on existing solutions, leading to a decline in fresh thinking and narrow scope of exploration. Business leaders must understand that AI alters work dynamics, shifting focus from understanding to generating answers. To combat this, \"strategic friction\" can be introduced, creating deliberate obstacles between employees and AI-generated responses. These changes don't impede efficiency but strengthen the ability to discern AI outputs' accuracy and improve upon them. Practical methods include requesting proof of independent thinking before using AI, designing AI tools that prompt users with questions before providing answers, or creating systems that only generate output after the user contributes their input. However, AI should still be used for simple, low-stakes tasks that require speed rather than critical thinking. In hiring, focus on candidates who critically engage with AI tools, showing a balance of speed and judgment, rather than those who blindly follow AI's suggestions. This approach ensures businesses maintain their capacity for innovation amidst AI's increasing efficiency.",
  "summary": "AI can boost efficiency at work, but it may also weaken the experimentation and critical thinking that drive innovation.",
  "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."
}