Sam Altman said it best: AI won’t replace humans - humans who use AI will replace those who don’t. But most professionals misunderstand this. The goal isn’t to let AI do your job. The goal is to use AI to strengthen the part of your job that can’t be replaced: judgment, decision-making, problem framing, execution. 🎯 Today’s Challenge Answer one of these, as concretely as possible: 1. What part of your work would be hardest for AI to replace if you doubled down on it? (Strategy? Client communication? Taste? Prioritization? Teaching? Leadership?) 2. How could AI help you amplify that strength instead of replacing it? Not “doing it for you” — but making you faster, clearer, or more decisive. 3. What’s one task you still do manually that AI could help you execute better this week? No theory. No hype. Just real leverage. 👇 Drop your answer below. Let’s compare notes.

Quick note — sorry for being a bit quiet lately 😅 I was doing some long travelling… lots of trains, airports, connections, the whole thing. Now I’m finally settled for the next few months, which actually made me realize something interesting. I used AI a lot to plan and execute this whole trip properly — routes, timing, decisions, adjustments — and honestly, it made everything way smoother. What surprised me is how much this also helps professionally: I’m basically practicing the same skills, freeing up mental energy, and staying clearer and more focused for work. Do you experience the same thing with AI? Has it helped you think better, organize your life, or work more efficiently? Curious to hear your thoughts 👇

Most people use AI for answers. Fewer use it for leverage. From what I’ve seen, the biggest missed opportunities usually fall into three areas: 1) Planning Using AI to think before acting: clarifying goals, mapping options, stress-testing decisions, and spotting blind spots early. Most people skip this and jump straight to execution. 2) Execution Breaking vague ideas into concrete steps, timelines, checklists, and next actions. AI is incredibly good at turning “I want to do X” into “here’s what to do today.” 3) Communication Explaining ideas more clearly, adapting messages to different audiences, preparing tough conversations, or turning messy thinking into something structured and persuasive. My sense is that many professionals still treat AI like a smarter Google, instead of a thinking partner embedded in their workflow. Curious to hear from you: Where do you think AI is most underutilized right now — planning, execution, communication, or somewhere else entirely?

Many professionals think about side projects at some point — sometimes out of curiosity, sometimes as a hedge, sometimes as a creative outlet. With AI in the picture, that question becomes more interesting. AI can: – lower the cost of experimenting – speed up early execution – help you test ideas without fully committing – reduce the friction of “starting from zero” But it can also do something else: – help you go much deeper in your current role – sharpen judgment and output – increase your leverage where you already have context and credibility So here’s today’s reflection: - Have you ever seriously considered a side business alongside your main work?– If yes, what kind?– If not, what would it be if you had to choose one? And the harder question: - Do you see AI as a tool to branch out, or as a way to become exceptional at one thing? There’s no right answer — but the trade-off is real. Curious to hear how people here are thinking about this.

One of the most interesting questions right now is not whether AI helps us learn faster — but how far that acceleration actually goes. If someone starts close to zero today, AI can: - explain concepts on demand - adapt explanations to your level - generate examples, exercises, and feedback - help you practice more consistently This applies to many domains: - coding - languages - music - professional skills - analytical or creative work In many cases, AI seems to compress the early and middle stages of learning dramatically. But there are also limits: - intuition still takes time - taste and judgment aren’t instant - real-world constraints push back - some skills only solidify through repetition and exposure So the interesting question isn’t “Can AI make you an expert overnight?” It’s something more nuanced. How far can AI realistically take someone — and where does the acceleration slow down? And from your own experience: - Where did AI help you most? - Where did it stop being enough on its own? - What still required time, effort, or human feedback? Curious to hear how people here see the real ceiling of AI-accelerated learning — across different skills and professions.