The “Magic Powers” trap: How Copilot is quietly killing your critical thinking

We’re living in the era of  magic powers, where a single prompt can write your email, plan your sprint, or even architect your app. It feels like superpowers. But there’s a cost we’re not talking enough about. When we treat tools like GitHub Copilot or ChatGPT as answer machines, we’re outsourcing our thinking. We’re trading the process of reasoning for the comfort of completion. And slowly, quietly, that habit kills the critical thinking muscles our teams rely on. 

The problem of “Magic powers thinking” 

Most teams don’t even realize they’re doing this. You start by asking AI for help writing a function or summarizing a report. Before long, you’re asking it to decide for you, which framework to use, which metric to prioritize, and how to word your strategy. 

This is magic powers thinking: the belief that one perfect prompt will deliver a perfect output. It feels productive. But really, it’s dependency disguised as efficiency. And the result? 

• Teams that wait for the AI to tell them what to do next. 
• Juniors who never learn to reason through complexity. 
• Seniors who stop mentoring because the tool “handles it.” 

We’re not building capability. We’re building dependency! 

The fix: Cognitive scaffolding 

The antidote isn’t to stop using AI. It’s starting to use it differently. AI is best used as a thinking partner, not a thinking replacement. That means using it to scaffold your cognition, to help you reason, reflect, and improve your process rather than just deliver outputs. Instead of asking for the finished answers, ask AI to structure your thinking based on your initial input. 

Here are five prompts that shift you from dependence to development: 

1. “Create a 5-step approach to help me start, before filling in any details.” 
   Keeps you as the executor. You stay in control of the process, not the model. 
2. “Based on my analysis, can you question my assumptions?” 
   Builds metacognition, the skill of thinking about your own thinking. 
3. “Give me an example and then give me one new to try.” 
   Turns learning into practice. You’re engaging, not consuming. 
4. “Stop at every step so I can reflect and summarize. Let me know if I am getting it right.” 
   Forces reflection mid-process. You learn by teaching the machine back. 
5. “Ask me questions on the key points to make sure I understand.” 
   Reinforces retention and mastery, the opposite of passive automation. 

The future of work depends on how we ask 

AI won’t kill critical thinking. But our habits might. Every time we use the “magic powers,” we’re training ourselves, and our teams, to skip the messy middle of reasoning. The fix isn’t more AI. It’s better questions. 

It’s not AI that’ll make us useless. It’s forgetting how to think without it. 

Mario

At Cegal, we help our customers embrace Copilot and AI through tailored learning programs and hands-on workshops, empowering teams to work smarter and faster. Our goal isn’t to create dependence on “magic powers,” but to help people use those powers to amplify their own skills.