Strategies to Improve Critical Thinking With AI

GenAI won't kill critical thinking. Comfortable leaders will. AMLE 's "Critical Thinking in the Age of Generative AI," a 2025 systematic review, and Microsoft's survey all point to the same tension ➤ AI can sharpen your thinking—or slowly dull it. Here are 9 ways to stay sharp: 1️⃣ "Treat AI as a first draft, never a final say"  ↳ GenAI's confident tone tricks your brain into skipping evaluation. ✅ Act on it: Ban "copy–paste" from AI into decision-critical docs. Require one human edit plus rationale before anything AI-generated moves upward. 2️⃣ "Ask AI to argue against itself"  ↳ Questioning and comparison strengthen critical thinking. ✅ Act on it: Always follow one answer with: "Now, give me the strongest counterargument." Share that practice with your team as a standard operating rule. 3️⃣ "Separate speed from wisdom"  ↳ Fast answers feel good; wise answers feel uncomfortable first. ✅ Act on it: For decisions that feel "too easy" after AI, pause and ask: "What are we not seeing?" Use AI to surface opposing viewpoints and edge cases—not just best practices. 4️⃣ "Build 'social critical thinking,' not just solo analysis"  ↳ Challenge assumptions together. ✅ Act on it: In key meetings, assign one person "AI skeptic" and another "AI translator." End with: "What assumptions are we accepting because AI made them sound reasonable?" 5️⃣ "Use AI to find blind spots, not excuses"  ↳ Confidence in AI can reduce scrutiny; leaders can reverse that. ✅ Act on it: Ask, "Whose perspective is missing?" and use AI to simulate that viewpoint. Include ethical, cultural, or stakeholder perspectives as separate prompts. 6️⃣ "Turn AI mistakes into a leadership curriculum"  ↳ Reflective use of AI strengthens thinking. ✅ Act on it: Collect "AI near-miss" stories and discuss them in leadership meetings. Ask: "What almost went wrong? What saved us? What changes next time?" 7️⃣ "Make your own thinking visible"  ↳ Leadership thinking is contagious. ✅ Act on it: Narrate your process: "Here's what AI suggested. Here's how I challenged it. Here's the decision." Encourage your direct reports to model the same. 8️⃣ "Audit where you've gone on AI autopilot"  ↳ Over-reliance creeps in quietly. ✅ Act on it: List 3 areas where you now "trust" AI outputs without checking. For each, design one review step that reintroduces human judgment. 9️⃣ "Upgrade your questions, not just your tools"  ↳ Tools are only as powerful as the questions behind them. ✅ Act on it: Replace "What should we do?" with "Given A, B, C constraints, what are 3 non-obvious options?" Evaluate question quality in team retros, not just answer quality. The question to keep asking: "Is AI helping me think better—or just faster?" Your leadership edge depends on the difference. Coaching can help; let's chat. ♻️ Repost it to your network and follow Joshua Miller for more tips on coaching, AI-era leadership, career + mindset. ⸻ #ai #leadership #executivecoaching #careeradvice #manager #mindset

The Hard Truth About Using AI to Improve Your Ideas Most people treat AI like a shortcut to brilliance. I’ve learned that it doesn't work that way. If you want real leverage, you have to steer with intent. Over hundreds of sessions, here’s what has actually moved the needle for me and for founders I advise: sharper thinking, not just more noise. AI is only valuable when you bring it into your process on purpose. It multiplies your ability to see angles, but only if you’re shaping the flow. Here’s the approach I use and what I recommend to every founder who wants to turn raw thinking into actionable insight: 1. Define the Problem, Not Just the Topic Every productive AI session starts with a clear goal. I get specific about what I want, the context, and the boundaries. The tighter the focus, the better the output. 2. Demand Volume, Then Depth I never settle for the first few ideas. I push for dozens. Most breakthroughs show up only after the obvious answers are gone. The real value is in later rounds, when AI gets pushed past its defaults. 3. Refine, Don’t Accept I treat the first batch as raw material. I look for patterns, gaps, counterintuitive ideas, and edge cases. I prompt AI to group, contrast, and surface what’s missing. The back-and-forth is where insights appear. 4. Build Criteria Before You Prioritize Before sorting ideas, I use AI to help create the rules for judging. What would an experienced founder use to filter these options? What makes something worth trying or worth avoiding? Only after that do I ask for ranking. 5. Pressure-Test the Output I ask AI to challenge its own results. What would break this? What objections should I consider? Where could this go wrong? This step brings out the value of healthy skepticism and builds confidence by surfacing weak spots. 6. Make It Real I connect recommendations to my own experience or market examples to see if they hold up. I do not let AI operate in theory. I make it map ideas to the real world. 7. Tighten, Then Act After several cycles, I end up with a shortlist that is both actionable and defensible. That is when I move forward. Here’s what I have learned: AI is a multiplier for clarity, not a replacement for thinking. It is never one-shot magic. It rewards rigor, iteration, and an attitude of skepticism. If you are passive, you will get generic output. If you drive the process, you will see results that surprise you and others. AI will not give you an edge unless you bring your own. But when you steer AI well, it will surface angles, blind spots, and breakthroughs you might never reach alone or at least as quickly. Founders who know how to work with AI are already pulling ahead. If you want sharper thinking, use AI as a relentless brainstorming partner and a tough critic. Not as an oracle. That is how you get results worth sharing.

🧠 𝐌𝐨𝐬𝐭 𝐩𝐞𝐨𝐩𝐥𝐞 𝐮𝐬𝐞 𝐀𝐈 𝐭𝐨 𝐜𝐨𝐧𝐟𝐢𝐫𝐦 𝐭𝐡𝐞𝐢𝐫 𝐭𝐡𝐢𝐧𝐤𝐢𝐧𝐠. 𝐓𝐡𝐞 𝐬𝐦𝐚𝐫𝐭 𝐨𝐧𝐞𝐬 𝐮𝐬𝐞 𝐢𝐭 𝐭𝐨 𝐜𝐡𝐚𝐥𝐥𝐞𝐧𝐠𝐞 𝐢𝐭. One of the biggest risks with Generative AI is not hallucinations.  It is intellectual complacency.  If you only use AI to agree with you, refine your emails, or summarize notes, you get faster thinking, not better thinking. 💡 𝗧𝗵𝗶𝘀 𝘄𝗲𝗲𝗸’𝘀 𝘁𝗶𝗽 𝗳𝗼𝗿 𝗚𝗲𝗻𝗔𝗜 𝗯𝗲𝗴𝗶𝗻𝗻𝗲𝗿𝘀: 𝗨𝘀𝗲 𝗚𝗲𝗻𝗔𝗜 𝗮𝘀 𝘆𝗼𝘂𝗿 𝗔𝗜 𝗦𝗽𝗮𝗿𝗿𝗶𝗻𝗴 𝗣𝗮𝗿𝘁𝗻𝗲𝗿. 𝗨𝘀𝗲 𝗶𝘁 𝘄𝗵𝗲𝗻 𝘆𝗼𝘂 𝘄𝗮𝗻𝘁 𝘁𝗼 𝗲𝘃𝗼𝗹𝘃𝗲 𝘆𝗼𝘂𝗿 𝗶𝗱𝗲𝗮𝘀 𝗳𝗿𝗼𝗺 𝗻𝗼𝘃𝗶𝗰𝗲 𝘁𝗼 𝗚𝗿𝗮𝗻𝗱𝗺𝗮𝘀𝘁𝗲𝗿. Instead of asking AI to agree with you, ask it to take the opposing view. This means building the strongest possible version of an argument by disagreeing with you. ⚖️ 𝗪𝗵𝘆 𝘁𝗵𝗶𝘀 𝗰𝗵𝗮𝗻𝗴𝗲𝘀 𝗵𝗼𝘄 𝘆𝗼𝘂 𝘁𝗵𝗶𝗻𝗸: 1️⃣ Identifies Blind Spots: It finds the gaps in your logic before your boss or client does. 2️⃣ Reduces Bias: It forces you to step out of your echo chamber. 3️⃣ Negotiation Prep: It helps you predict objections and prepare counter-arguments. 🧩 𝗛𝗼𝘄 𝘁𝗼 𝗦𝘁𝗮𝗿𝘁: For Decision Making: "I am considering [X decision]. Argue against this as a skeptical CFO. Highlight the risks and why this might fail." For Negotiation Prep: "I am asking for a raise based on [X achievements]. Act as my manager who opposes mid-year raises. Give me three reasons why now might not be the right time, and then debate those reasons with me." For General Debate: "Argue against my position that [Your Belief]. Do not be polite; be logical and relentless. What evidence am I ignoring?" 𝙋𝙍𝙊 𝙏𝙄𝙋: 𝘿𝙤 𝙩𝙝𝙚 𝙖𝙗𝙤𝙫𝙚 𝙞𝙣 𝙫𝙤𝙞𝙘𝙚 𝙢𝙤𝙙𝙚 𝙞𝙣𝙨𝙩𝙚𝙖𝙙 𝙤𝙛 𝙩𝙮𝙥𝙞𝙣𝙜 𝙬𝙞𝙩𝙝 𝙖 𝙘𝙤𝙣𝙩𝙚𝙭𝙩 𝙬𝙞𝙣𝙙𝙤𝙬. 𝙄𝙛 𝙮𝙤𝙪 𝙖𝙧𝙚 𝙪𝙣𝙨𝙪𝙧𝙚 𝙝𝙤𝙬 𝙩𝙤 𝙙𝙤 𝙩𝙝𝙞𝙨, 𝙟𝙪𝙨𝙩 𝙖𝙨𝙠 𝙩𝙝𝙚 𝙢𝙤𝙙𝙚𝙡! 🔍 𝗧𝗵𝗲 𝗥𝗲𝘀𝘂𝗹𝘁? You do not just win arguments. You become more precise. Beginners who spar with AI notice:  ✅ Stronger presence in meetings  ✅ Better decision-framing  ✅ Fewer "I wish I would have thought of that" moments AI should not do your thinking for you. It should sharpen your thinking with you. 💬 𝒀𝒐𝒖𝒓 𝑻𝒖𝒓𝒏 What is one assumption you are making this week that could use a little "constructive resistance?” 👇 Share a topic below, and how you turned yourself into a Grandmaster. #GenAI #CriticalThinking #NegotiationSkills #Leadership #AIforBeginners

5 Brain-Boosting Ways to Use AI AI tools like ChatGPT are becoming part of our daily workflows. How we use them matters. Used passively, AI negatively impacts memory, creativity, and focus. But used strategically, it can actually enhance your brain’s performance. Below are 5 science-backed ways to use ChatGPT to sharpen cognition, not sabotage it. 1. Stimulate Divergent Thinking What to do: Ask ChatGPT to generate multiple angles, perspectives, or frames on a topic you’re working on. Prompt Example: “Give me three competing viewpoints on remote work’s impact on productivity. Then offer one counterpoint to each.” Why it works: Your brain strengthens problem-solving networks when it weighs options, reconciles conflicts, and makes decisions. This increases activity in the prefrontal cortex and enhances strategic thinking. 2. Active Recall + Reinforcement What to do: After reading or writing something, ask ChatGPT to quiz you or summarize it as a set of key questions. Prompt Example: “I just read this article. Create 5 questions I’d need to answer to explain it confidently to someone else.” Why it works: Active recall boosts memory encoding and strengthens hippocampal connections, which are essential for long-term learning. 3. Create Reflective Feedback Loops What to do: Use ChatGPT as a mirror. Ask it to identify gaps in your reasoning, potential bias, or how others might interpret your communication. Prompt Example: “Here’s my idea pitch. What assumptions am I making? What reactions might a skeptical leader have?” Why it works: This strengthens metacognition—your ability to think about your own thinking—and builds emotional intelligence. 4. Support, Not Replace, Synthesis What to do: Use ChatGPT to assist with low-load tasks like formatting, summarizing, or categorizing. Then YOU handle the meaning-making and decision-making. Prompt Example: “Summarize these three client emails in bullet points. I’ll then write custom responses and tag the main concerns.” Why it works: Offloading surface tasks protects executive function and gives you more brainpower for high-value work. 5. Build Cognitive Stretch Routines What to do: Use it to simulate constraints, role-play challenges, or pressure-test your thinking. Prompt Example: “What’s the simplest way to explain this complex strategy to a 12-year-old? Now explain it like a Wall Street investor.” Why it works: This builds cognitive flexibility—the brain’s ability to shift gears, adapt, and translate ideas across contexts. Remember: AI isn’t the enemy. Mindless use is. The more deliberate you are in how you use tools like ChatGPT, the more cognitive clarity, creativity, and resilience you preserve.

"Conversational Agents as Catalysts for Critical Thinking" Now this is good use of LLMs. A conversational AI acting as a devil’s advocate can improve group decision-making by subtly reshaping social dynamics, challenging dominant opinions and enabling more inclusive perspectives. There is great potential in AI "nudging" more useful human group collaboration, in everything from student work through board discussions. There has been some interesting work and research in the space, but it is limited and there needs be more. This research study (link in comments) showed: 🧠 AI enhances decision quality and process satisfaction. The AI-generated counterarguments led to significant improvements in how participants rated the decision-making process (5.10 to 5.55) and outcomes (5.31 to 5.89) on a 7-point scale. These gains came without significantly increasing cognitive workload, suggesting AI can enrich discussions without overburdening participants. 😊 Juniors felt more heard, seniors stayed satisfied. Junior (minority) members saw the biggest boost: process satisfaction rose by 0.76 and outcome satisfaction by 0.88. Meanwhile, senior (majority) members maintained high satisfaction across both conditions, indicating the AI helped juniors speak up without alienating others. 🙅♂️ AI reduced pressure to conform. The system’s devil’s advocate role legitimized dissent, encouraging minority opinions and mitigating groupthink. Juniors reported feeling “less isolated,” with the AI helping to shift group norms toward more inclusive deliberation. 🛠️ Success depends on timing, tone, and adaptability. The system worked best when its counterarguments were well-timed, empathetic, and contextually aware. Its greatest impact was not in changing decisions, but in enabling more open, balanced, and confident dialogue—especially from those with less power in the room.

Most people assume the best way to use AI at work is to outsource tasks. But the biggest impact comes when we use AI to challenge us. We default to using AI for efficiency, like by delegating routine tasks. While this has its place, the real power of AI emerges when we use it as a thought partner, forcing us to think more critically, ask better questions, and elevate our decision-making. For example, I might need to have a difficult conversation with a vendor. I could tell ChatGPT what I really want to say, have it clean up my low-EQ draft, and simply send it. Alternatively, I could tell AI what I’m thinking and have it refine and guide me—offering suggestions for things to consider, such as starting the conversation by acknowledging aspects of the vendor’s work I appreciate, posing questions instead of making demands, and asking for the vendor’s help rather than assuming bad intent. When I use AI in this second mode, I might not save a few seconds right now, but I level up my game in the long run. Before AI, we had to do all the work ourselves, so we focused primarily on execution and meeting deadlines. Now, as we share the work with AI, we must take on new roles—question-asker, director/producer, critical thinker, and emotional actor—making us more curious, creative, and insightful about how things really work, both in the external world and in our own minds. AI doesn’t just make things easier; it makes us smarter. AI can introduce complexity and then explain it, expose us to new concepts and data, highlight where we may be wrong, push us to practice critical thinking and curiosity, and help us explore our own beliefs, behaviors, and theories of mind. As AI reshapes knowledge work, the real competitive edge will belong to those who embrace it as a partner in thinking—not just a shortcut for execution.

Embracing AI Doesn't Mean Surrendering Human Judgment! As AI takes over routine tasks, it's tempting to assume that data-driven decisions are always best. But what if AI's greatest strength is actually its ability to augment human intuition? 🤔 Reflect on this: 1️⃣ Where are you relying too heavily on data, and neglecting your own judgment? 2️⃣ How can you use AI to inform, rather than replace, your decision-making? 3️⃣ What's the last time you trusted your instincts over the data? 💡 Tips for leaders: 👉 Use AI to identify patterns, but trust humans to interpret them: Leverage AI's ability to detect trends and anomalies, then apply human expertise to understand context, nuances, and implications. 👉 Don't confuse correlation with causation: Recognize that AI-identified patterns may not necessarily indicate cause-and-effect relationships, and apply critical thinking to uncover underlying factors. 👉 AI can't replace critical thinking: While AI excels at processing data, human critical thinking is essential for evaluating assumptions, considering alternative perspectives, and making informed decisions. 👉 Cultivate a culture that balances data-driven insights with human intuition: Encourage collaboration between data analysts and domain experts, fostering an environment where data informs, but doesn't dictate, decision-making. By combining the strengths of both AI and human judgment, we can make more informed, creative, and empathetic decisions. #AI #leadership #coachingtips

66 % of your Q3 roadmap is already wrong. Not because you’re careless. Because you’re still solving 2025 problems with 1990 habits. Guesswork meetings. Hip-shot bets. Groupthink that cost your team $4 M in six weeks. Here's how to flip those odds in your favor with AI: 1. Design Thinking + AI 🎯 Best for: Creating new products or fixing customer problems → The framework: First, find out what people need. Then create prototypes. Finally, test if they work → How AI helps: Use AI in each of the 5 design thinking steps → Example: "Hey AI, read these reviews and tell me what customers love and hate" 2. The "5 Whys" Method + AI 🎯 Best for: Fixing problems that keep coming back → The framework: Keep asking "why" like a curious kid until you get to the root cause → How AI helps: Give AI access to relevant data, and keep asking why →Example: "Hey AI, look at all our problem reports - what's the reason this keeps happening?" keep asking "why" 3. Six Thinking Hats + AI 🎯 Best for: Making big decisions when a lot is at stake → The framework: Look at your problem with 6 different "thinking hats" - facts, feelings, dangers, benefits, new ideas, and planning → How AI helps: Prompt AI to wear different hats when it gives you feedback → Example: "Hey AI, what could go wrong with this new product? Now, what opportunities are we missing?" 4. PDCA + AI 🎯 Best for: Making improvements without big risks → The framework: Start small, test it, learn from it, make it better. Like scientists in a lab! → How AI helps: Use AI in each of the 4 steps of the loop → Example: "Hey AI, is our new customer service approach working better than the old one?" The secret sauce? → Use AI to do the heavy lifting (reading, analyzing, spotting patterns) → Let AI be your assistant, but you're still the boss → Combine AI's speed with your human wisdom Have you tried combining AI with any of these strategies? ___ Enjoy this? ♻️ Repost it to your network Follow Basia Kubicka for more.

AI can sharpen your intellect?! Yes. The idea that dialogue can help us think has roots in philosophical discussions dating back to Ancient Greece and Rome. If you want your AI chatbot to do its best work for you, think WITH it. Socrates emphasized the importance of probing questioning and talking out loud to uncover underlying assumptions and contradictions in thought. This method of inquiry, known as the Socratic method, involved asking deep questions to stimulate critical thinking and illuminate ideas. Whether you are talking or typing, this is what can make AI dialogue a favorite new prep tool for negotiations and board meetings. Because AI speaks in our natural language, you can get your AI to help you explore and refine ideas in conversation—and to really push you. One of the CEOs I coach shared with me that she does her best thinking with AI because it will ask her tough questions that no one else will. Here’s how we can use AI as a modern dialogue partner to truly challenge—and deepen—our thinking: ⚡ Get AI to ask probing questions ⚡ AI can continuously pose questions that provoke your thinking or make you explore new angles. ⚡ Expose hidden assumptions ⚡ AI can uncover and question the unstated premises in your reasoning, compelling you to critically examine beliefs you may have taken for granted. ⚡ Introduce diverse perspectives ⚡ AI can present alternative viewpoints and counterarguments, broadening your understanding of complex issues. ⚡ Encourage clarity ⚡ AI can prompt you to define terms and clarify your ideas, helping you articulate your thoughts more precisely. ⚡ Explore consequences ⚡ AI can ask you to consider the logical implications of your statements. ⚡ Promote self-reflection ⚡ AI can guide you to evaluate your own knowledge and recognize areas where you may need to learn more. ⚡ Facilitate step-by-step reasoning⚡ AI can help you break down complex ideas into smaller, more manageable components for thorough examination. It's amazing to see in action. If you haven't tried this yet, it's a fantastic way to start getting AI to serve you. 👉 What about you? Have you used AI to push your thinking? What are your favorite prompts to get AI to challenge you? ___________ 👋 Hi, I'm Alison McCauley, and focus on how to leverage AI to do better at what we humans do best. I’ll be sharing more about how to Think with AI, and use the power of AI to boost our brainpower. Follow me for more, and share your thoughts below!

Have you argued with your AI recently? Using it to question my answers, rather than just answer my questions has been a game changer. "I'm about to [make this decision/send this proposal/launch this project]. Please challenge my assumptions. What am I not seeing? What questions could I be asking? What could go spectacularly wrong? Be constructively critical." 🤖 It helps fight confirmation bias - Instead of seeking validation, I'm hunting for blind spots 🤖 It's not scared of hurting my feelings or damaging our relationship 🤖 It's endlessly patient - I can keep pushing back: "But what if...?" "Have you considered...?" Obviously then, you can push back and question it further too, as the golden rule is never accept the first answer! Real example from last month, playing with some new ideas: Me: "If I translated my book to Welsh, what should I consider?" Claude gave me a heap of ideas around funding and grants, distribution, translation, promotion and suitable metaphors I hadn't considered. Most of us are surrounded by people who either can't challenge us (they don't have context) or won't (they don't want conflict). AI fills that gap perfectly. Don't just use it to make things faster. Use it to make things better. Remember: "nibble rather than scoff" - start small, take baby steps. #AIDay #CriticalThinking