Thanks to Barry H for the link to the original microsoft study on which this post is based:

Generative AI (GenAI) is everywhere—helping us write emails, brainstorm ideas, and even draft reports. But while it’s making our tasks easier, it’s also changing the way we think. In this blog, we’ll break down how AI tools affect our confidence, our critical thinking, and what it means for the future of knowledge work.

  1. Balancing Trust in AI and Trust in Yourself

We’ve all felt that moment of doubt: “Should I trust the AI’s answer, or trust my gut?” Recent research shows two types of confidence play a big role here:

  • High Confidence in AI: If you believe the AI’s suggestions are almost always right, you might skip double-checking them. Over time, this can weaken your own critical thinking skills.
  • High Self-Confidence: People who trust their own judgment are more likely to question AI outputs and verify the information. This keeps critical thinking alive and well.

Takeaway: A healthy balance is key. Rely on AI for speed, but don’t forget to use your own knowledge and instincts.

  1. How AI Changes Critical Thinking

Before AI, critical thinking often meant doing all the analysis yourself—from research to final decisions. With AI in the mix, the process looks a bit different:

  1. Verifying Facts Instead of manually gathering data, you now spend more time checking if the AI’s information is correct. This can be as simple as doing a quick online search to confirm numbers or looking for reputable sources.
  2. Combining Ideas AI gives you a starting point—like an outline or draft—and you refine it with your own insights. This can spark creativity because you’re no longer starting from scratch.
  3. Overseeing the Big Picture As AI handles routine tasks, you become more of a “manager” of the information. You make sure the AI’s outputs align with the project’s goals and ethics.

Takeaway: Critical thinking isn’t disappearing; it’s shifting. We still need to be alert and use our judgment, but we also get to spend more time on big-picture thinking.

  1. Designing AI Tools That Help Us Think Better

For AI to truly help us, developers and businesses must address some challenges:

  1. Making AI Outputs Clear If an AI tool explains how it arrived at an answer, it’s easier for you to trust it—or catch mistakes.

  2. Easy Fact-Checking Features like one-click citations or links to sources help you quickly confirm the AI’s information, keeping you in control.

  3. Personalized for Different Skills Newcomers might need more guidance, while experts want deeper details. Good AI tools let you adjust how much info you see.

  4. Preventing Bias and Misinformation AI can accidentally spread false or biased information. Strong review processes and guidelines can help prevent that.

  5. Opportunities for Knowledge Work

With these challenges come exciting possibilities:

  • Work Faster, Think Deeper: AI can handle repetitive tasks, freeing you up for more creative and strategic work.
  • Collaborative Brainstorming: Combining human insights with AI suggestions often leads to innovative solutions you might not have found alone.
  • Growing Your Skills: Regularly verifying AI outputs can sharpen your ability to spot inaccuracies, making you a stronger critical thinker.

Conclusion: Embracing AI Without Losing Our Judgment

Generative AI is reshaping how we work, shifting our focus from manually creating answers to guiding, checking, and refining AI’s suggestions. By staying curious and skeptical, we can use AI as a powerful tool—without letting it replace our own judgment.

At Imbila, we’re excited about AI’s potential to amplify human thinking rather than replace it. With thoughtful design and a balanced approach, we can harness AI to do our best work—faster, smarter, and more creatively.

“Enhancing or Undermining Critical Thinking with Generative AI? The Role of Self-Confidence, AI Confidence, and Explanation Tools in Knowledge Work.”

You can find the full text on the official Microsoft Research website here:

Enhancing or Undermining Critical Thinking with Generative AI? (Microsoft Research)

This paper presents a mixed-method study of 319 knowledge workers, exploring how generative AI affects critical thinking.