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Working Smarter With AI — Why Critical Thinking Is Still Your Superpower

When you learn how to approach AI as a thinking partner, you create better outcomes and stand out from others.

Nirit CohenbyNirit Cohen
May 5, 2025
in Tech
Reading Time: 4 mins read
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Working Smarter With AI — Why Critical Thinking Is Still Your Superpower

We need to focus on teaching critical thinking that encourages students to collaborate with AI, examine its results, and embed their distinct perspective into the final product.

  • AI can analyze data, but only critical thinking adds nuance, context, and unique human insights.
  • Collaboration with AI requires questioning assumptions and refining ideas through iteration.
  • In an AI-driven world, human creativity and judgment are essential to standing out and creating value.

Students once copied from Wikipedia, now they copy from generative AI tools like ChatGPT. So how do we equip learners in an era where AI can outpace humans in analyzing data, generating insights, and solving complex problems? 

We need to focus on teaching critical thinking that encourages students to collaborate with AI, examine its results, and embed their distinct perspective into the final product. 

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From Prompt to Partnership  

Critical thinking today is the skill that helps us combine the power of AI with our deeply human abilities. While AI can offer an initial framework of information, only you can bring the nuance and interpretation that give it substance. 

“Critical thinking allows us to go beyond the baseline that AI generates. The content must reflect your personal knowledge, your voice, and your perspective. Otherwise, who are you?” said Dr. Marc-Oliver Gewaltig, a computational neuroscientist and co-founder of Thesify.ai, in a podcast interview. 

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Consider this: if an AI prompt can deliver everything you need, why would you read an article like this? Why would you seek out human-generated analysis at all? 

The key is in the process. As Dr. Gewaltig points out, “If everybody is using AI, you don’t have an advantage. Critical thinking allows us to go beyond the obvious, beyond the first step everyone can do.” 

If your work consists only of surface-level facts, AI will do it faster. But it can’t mirror your iterative thinking, which is your ability to wrestle with ideas, context, and implications to create something uniquely your own. 

Your Human Advantage  

Modern critical thinking is about integrating AI’s processing power with human creativity, intuition, and ethics. AI can synthesize large volumes of information, but we add the context, the values, and the insights. 

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Together, human and machine can engage in a back-and-forth process that evolves, one response building on the next. A single prompt might be generic, but a deep, guided conversation (enriched by your expertise) can spark real breakthroughs. 

This article, for example, was developed with help from AI — but not authored by it. It involved a multi-day, iterative process: generating ideas, fact-checking, rephrasing, refining, and layering personal context. That conversation, beyond the first prompt, is what shaped the ideas here into something worth sharing. 

Sharpening Your Thinking with AI  

Like any capability, critical thinking with AI takes time and intention to develop. AI output is not your final product, but instead your starting point. The goal isn’t just to accept what AI gives you, but to interrogate it, stretch it, and improve it through your own thinking process. 

One way to practice this is by engaging in a true conversation with your AI tools. Rather than stopping at a single prompt, continue to ask follow-up questions, probe deeper, and request clarification. Use AI to test your ideas, surface contradictions, and broaden your understanding of a topic. Let the technology challenge you, and let yourself challenge it back. 

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When working with AI tools, it helps to apply a set of guiding questions to every output: 

  1. What assumptions or limitations are baked into the AI’s response? Are key data points missing? 
  2. Which voices or angles are absent? What would make this more balanced or insightful? 
  3. Does this align with your understanding, or does it raise challenges or counterpoints worth exploring? 
  4. How accurate and trustworthy is the content? Have you verified it against reliable sources? 
  5. How has the process evolved your thinking? What new directions has it opened? 

These steps mirror the kind of critical engagement we already value in good writing, thoughtful analysis, or meaningful debate. They’re simply being applied now in a space where a machine helps you move faster, but also invites you to think deeper. 

By regularly iterating on AI outputs, cross-checking with outside sources, and refining with your own perspective, you elevate your work and make the final product your own. The result is something that goes beyond what AI — or any other person using AI — could have done alone. 

Teaching for Tomorrow  

The need is immediate. 

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If educational systems don’t adapt their teaching to include critical engagement with AI, they’ll leave students underprepared for the workplaces of tomorrow. 

We must prioritize teaching students how to challenge, iterate, and think with AI — so they’re not just consumers of content, but active, thoughtful creators. Tools like Thesify.ai can support this shift by guiding learners through personalized, real-time learning experiences that deepen understanding and develop independent thinking skills. 

And the same applies to professionals. In a world where AI can draft emails, reports, and even strategies, your value depends on how well you can push beyond the baseline. Can you question assumptions? Add insight? Navigate nuance? 

Critical thinking keeps the human at the center of work. When you approach AI not as a replacement, but as a thinking partner, you create better outcomes as well as stand out. Whether you’re writing, solving problems, or developing strategies, the key is to refine, iterate, and improve continuously. 

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Nirit Cohen

Nirit Cohen

Nirit Cohen is a leading HR strategist and thought leader on the Future of Work. With 30 years of global experience at Intel in senior leadership roles across HR and M&A, she bridges emerging trends with practical solutions to help organizations navigate the complexities of the evolving world of work. Nirit holds a master’s degree in Economics, specializing in Technology Policy and Innovation Management. For over a decade, she has written a widely read weekly column on the Future of Work, currently published on Forbes. She has also authored a book on career management in a changing world. Her expertise in workforce transformation, combined with leadership across multiple disciplines, makes her a sought-after speaker and consultant.

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