483. Five Human Skills AI Can't Fake

Check out host Bidemi Ologunde's new show: The Work Ethic Podcast, available on Spotify and Apple Podcasts.

Email: bidemiologunde@gmail.com

In this episode from The Work Ethic Podcast, host Bidemi Ologunde explores five human skills AI can't fake and asks a timely question: now that AI can draft, summarize, and automate so much, what becomes even more valuable because AI exists? What separates people who merely use AI from those who truly stand out? Why are communication, judgment, leadership, empathy, and taste becoming such critical advantages for students, creators, operators, managers, and builders? Bidemi breaks down practical systems, real-life examples, and a healthier path to sustainable excellence that is not tied to hustle culture. Listeners will also get this week's challenge: intentionally add a human layer to one AI-assisted task each day and share what changed inside the show's private WhatsApp Community.

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Transcript

SPEAKER_00 0:45

Late last year, Sela Tracker, a wine app, built an AI Somalia. On paper, that sounds like a perfect use case. A machine that knows grips, regions, vintages, tasting notes, preferences, and so on. But the chatbot had a strange weakness. It was too nice. Even when the signal said the user was unlikely to enjoy a wine, it still leaned polite and positive. The company's CEO said it took six weeks of trial and error to get the system to offer a more honest appraisal. That story is bigger than wine. It tells us something important about this moment. AI can sound informed, it can generate fluent language, but sounding smart is not the same thing as exercising judgment. Sounding smart is not the same thing as exercising judgment. And that is where I want to start this episode. For a while, the advice around AI has sounded like this don't be lazy, don't outsource your brain, don't let the tool do all the work. That advice is not wrong, but it is incomplete. The more useful question now is not just how do I avoid getting worse because AI exists. The better question is what becomes more valuable because AI exists? Because once a tool can help millions of people draft emails faster, summarize documents faster, brainstorm ideas faster, and code faster, the premium shifts. The premium moves to the qualities that shape direction, create trust, and turn raw output into work that actually matters. LinkedIn's 2025 work change report says that by the year 2030, 70% of the skills used in most jobs will change, with AI acting as a major catalyst. The same report says the pace at which LinkedIn members add new skills to their profiles has risen by 140% since 2022, and that this includes not only technical skills, but also uniquely human skills like communication and leadership. Then LinkedIn's 2026 skills on the rise doubled down on the point. Leadership, cross-functional collaboration, mentorship, executive and stakeholder communication are rising alongside AI-related skills such as prompt engineering, large language models, and AI business strategy. In other words, this is not a story of technical skills versus human skills. It's a story of technical skills increasing the value of human skills. The World Economic Forum is seeing the same pattern from a different angle. In its 2025 Future of Jobs Research, AI and big data are among the fastest growing skills, but so are leadership and social influence, resilience, flexibility, curiosity, lifelong learning, empathy, and active listening. That matters. It means the future does not belong to the person who can merely use the tool. The future belongs to the person who can combine tools with judgment, trust, and adaptability. So this episode is about five human skills that AI cannot fake. And more importantly, five systems you can use to build them without falling into hustle culture. Because sustainable excellence is not about moving at machine speed, it's about becoming the kind of person whose calm, clear, deeply human contribution becomes more valuable in a world full of machines. And that matters whether you are a student, an operator, a founder, a creator, a freelancer, a manager, a performer, or someone building a life and career across countries, cultures, and responsibilities. Even employers are increasingly treating well-being as a real business issue. The World Economic Forum says supporting employee health and well-being is a top talent strategy, and its 2025 workplace report argues that embedding well-being into culture and job design improves productivity and resilience. So the first human skill that AI cannot fake is judgment. Judgment is the ability to tell the difference between what is interesting and what is important, between what is clever and what is correct, between what sounds right and what will hold up in the real world. AI can produce options. Judgment decides what survives contact with reality. That is why the seller tracker story matters. The model could talk about wine, but it still had to be coached toward candor. It could generate language, but it did not naturally carry the kind of responsible discernment that a good expert develops over time. So here is a simple system for building judgment. Before you send, publish, submit, or approve anything that AI helped you create, run the three question pressure test. Number one, is it true? Number two, what happens if this is wrong? Number three, what context is missing? For a student, that may mean checking the source behind a confident paragraph before turning in an assignment. For an operator, it may mean spotting the one exception that breaks an otherwise elegant workflow. For a founder, it may mean asking whether a feature solves a real customer problem or just looks impressive in a demo. For a creator, it may mean cutting the line that is flashy but false. This is not perfectionism, it is disciplined pause. And disciplined pause is now a competitive advantage these days. The second human skill that AI cannot fake is communication under uncertainty. One of the clearest signals in the data is that communication is rising in value, not falling in value. LinkedIn's latest skills research highlights stakeholder communication, public speaking, cross-functional coordination, mentorship, and team management as increasingly important. Reuters also reported that one of the hottest roles in enterprise AI right now is the forward deployed engineer, a hybrid person who can work with models, embed with clients, navigate internal politics, and translate between technical teams and business leaders. The bridge is becoming more valuable than the tool. That is a massive clue for all of us. So here is the system. Context first, draft second. Before you ask AI to write anything important, write four human lines yourself. What is the outcome? Who is the audience? What constraints matter? What is the decision or action you want next? Those four lines force clarity before speed. Then, when you communicate, use a simple spoken structure. Here is what is happening, here is why it matters, and here is what happens next. The people who rise in the AI era will not be the people who produce the most words. They will be the people who reduce confusion. The third human skill AI cannot fake is trust building and empathy. This one is showing up in the real world, not just in theory. Reuters reported that after aggressively leaning into AI customer service, Klarner had to acknowledge that some customers still preferred human support, especially for more complex issues. Reuters also reported that Verizon is leaning back into human agents after trying to push more calls toward AI, with one executive saying, empathy is the key thing holding companies back from letting AI handle customer conversations more holistically. Gartner now predicts that by 2027, next year, half of companies that cut customer service staff because of AI will rehire people into similar functions under different titles, because AI still is not mature enough to replace the expertise, empathy, and judgment that human agents provide. So the system here is what I call first mile AI, last mile human. Let AI handle triage, summaries, scheduling, draft responses, pattern recognition, and repetitive first passes. But when the work becomes emotional, ambiguous, high stakes, reputational, or relational, bring a human fully into the loop. That applies in customer service, but it also applies in classrooms, teams, families, communities, and creative work. If someone is confused, disappointed, anxious, grieving, offended, uncertain, or making an important decision, do not hide behind automation. The last mile is where trust is won or lost. The fourth human skill AI cannot fake is leadership. And I don't mean leadership as a title. I mean the ability to create clarity, momentum, and psychological safety for other people. McKinsey's 2025 Workplace AI report says almost all companies are investing in AI, but only 1% believe they are mature in deployment. And the biggest barrier is not employees being unready. The biggest barrier is leadership. McKinsey's research says employees are more ready for AI than leaders imagine, and that the challenge is ultimately not just technological, but organizational and human. That is one of the most useful findings in this whole conversation. The bottleneck is often not capability, it is stewardship. So here is the system. Run a 15-minute weekly leadership loop with yourself or your team. Ask four questions. What are we seeing? Where are we stuck? What matters most this week? What support is needed? AI can summarize the notes afterward. AI can suggest options, but it cannot replace the human act of seeing people clearly, naming trade-offs honestly, and carrying responsibility for the next move. In a noisy environment, leadership becomes less about charisma and more about emotional steadiness, less about domination and more about direction. Last but not the least, the fifth human skill AI cannot fake is taste. Taste is not just aesthetic preference. Taste is the ability to choose well. It is the instinct that says, this is off-brand, this is overdone, this is not the right tone, this is technically correct but emotionally dead. This is polished but not memorable. This solves the wrong problem. This is too much. As AI makes content and options abundant, selection becomes more valuable. Curation becomes more valuable. Restraint becomes more valuable. The World Economic Forum's latest work shows creative thinking remains highly important while design, user experience, marketing, and media skills are also expected to grow. That tracks with what creators and builders already feel. When anyone can generate more, the differentiator becomes your own point of view. So the system here is one sharp opinion per piece of work. Before you ship anything, ask, what is the one thing this work clearly stands for? One clean argument, one emotional tone, one specific audience, one distinctive choice. Students can use this in presentations. Founders can use it in products and messaging. Creators can use it in scripts, videos, writing, and brand voice. Managers can use it in meetings and memos. AI can help you feel the canvas. Taste helps you decide what deserves to stay on it. So now let me pull all of this together. The people who thrive in the AI era will not simply be the people who can prompt well. They will be the people who can judge well, communicate clearly, build trust, lead responsibly, and choose with taste. They will know how to use AI, yes, but they'll also know where not to use it, when to slow down, when to escalate, when to listen, when to challenge, and when to bring more humanity into the room. That is the real edge, not panic, not hustle, not pretending to be a machine. Simply human range. And that is why I want to reframe this whole conversation. The point is not just don't be lazy with AI. The point is become excellent at what AI makes more valuable. If AI lowers the cost of producing drafts, then clarity becomes more valuable. If AI lowers the cost of generating options, then judgment becomes more valuable. If AI scales transactions, then trust becomes more valuable. If AI increases speed, then calm leadership becomes more valuable. If AI creates abundance, then taste becomes more valuable. That is the shift. So here is this week's challenge for our community. For the next seven days, pick one task per day that you would normally let AI finish for you. Let AI help with the first draft, the first pass, or the first layer. But before you submit or share it, add one human layer on purpose. Add judgment by checking what could go wrong. Add communication by clarifying the audience and next step. Add trust by making a call or sending a voice note instead of hiding behind text. Add leadership by creating clarity for somebody else. Add taste by cutting what is generic and keeping only what is true, useful, and distinctive. Then share three things in our private WhatsApp community. What the task was, what human layer you added, and what changed in the result. Keep it simple, one paragraph, one screenshot, or one short voice note. The goal is not to prove that you can work harder than a machine, the goal is to train the parts of you that become more valuable because the machine exists. That is sustainable excellence, and that is the work.