How to Become Indispensable Using AI

𝐇𝐨𝐰 𝐝𝐨 𝐈 𝐬𝐭𝐚𝐲 𝐫𝐞𝐥𝐞𝐯𝐚𝐧𝐭 𝐢𝐧 𝐭𝐡𝐞 𝐀𝐈 𝐞𝐫𝐚? The question I keep getting from professionals across every function — engineering, marketing, finance, operations: "What should I be doing right now to enhance my chances of keeping and flourishing in my job?" Having watched this shift play out across our portfolio companies, here is how I think about it. 𝐁𝐮𝐭 𝐟𝐢𝐫𝐬𝐭, 𝐨𝐧𝐞 𝐡𝐚𝐫𝐝 𝐪𝐮𝐞𝐬𝐭𝐢𝐨𝐧. Before you re-skill, ask whether the company you work for has a future in the AI era. If your company's core product is being replaced by AI — not enhanced, not contested, but replaced — reskilling inside that company may not be enough. Getting out early is not disloyalty. It is career survival. Assuming you are in the right place — three things, in order. 𝐒𝐡𝐢𝐟𝐭 𝐟𝐫𝐨𝐦 𝐞𝐱𝐞𝐜𝐮𝐭𝐨𝐫 𝐭𝐨 𝐨𝐫𝐜𝐡𝐞𝐬𝐭𝐫𝐚𝐭𝐨𝐫. Your value is no longer in doing the work — it is in knowing what work to do, why, and whether the output is right. The person who can break a problem down, delegate to AI, and judge the result is more valuable than the person who can execute a single step perfectly. This is a fundamental shift in identity — from "I am good at X" to "I know when X is done well." 𝐁𝐮𝐢𝐥𝐝 𝐀𝐈 𝐟𝐥𝐮𝐞𝐧𝐜𝐲 𝐭𝐡𝐫𝐨𝐮𝐠𝐡 𝐝𝐚𝐢𝐥𝐲 𝐮𝐬𝐞, 𝐧𝐨𝐭 𝐜𝐨𝐮𝐫𝐬𝐞𝐬. Stop taking "AI for professionals" courses. Start using AI tools in your actual work, every day. Draft with it, analyze with it, review with it. Fluency comes from repetition, not theory. The people pulling ahead are the ones who integrated AI into their daily workflow six months ago. 𝐃𝐞𝐞𝐩𝐞𝐧 𝐲𝐨𝐮𝐫 𝐝𝐨𝐦𝐚𝐢𝐧, 𝐧𝐨𝐭 𝐣𝐮𝐬𝐭 𝐲𝐨𝐮𝐫 𝐭𝐨𝐨𝐥𝐬. AI commoditizes execution. What it cannot replicate is your understanding of why things work the way they do in your industry — the exceptions, the judgment calls, the context. When you can see the full picture of how outcomes are produced, you start thinking in terms of improving those outcomes, decreasing cycle times, and removing friction. That is where AI becomes a force multiplier — not on isolated tasks, but across workflows. 𝐈𝐌𝐏𝐎𝐑𝐓𝐀𝐍𝐓: Ask the hard question about your company first. Then shift your mindset from executor to orchestrator. Build AI fluency through daily use, not courses. And deepen the domain expertise that no model can replace. The window to build these habits is now — not next year. What has worked for you in re-skilling for AI? Would love to hear.

Will AI Take My Job?” — Let’s Get Real (And Strategic) About It. If you’ve ever stared at a ChatGPT output and thought: “Wait… this is better than my first draft. What does that mean for me?” —you’re not alone. As a Leader and Coach, working with professionals — I hear this fear daily: “Am I becoming obsolete?” Undoubtedly AI is transforming work. Fast. ✅ Routine writing? Automated. ✅ Data analysis? Accelerated. ✅ Customer service? Augmented. ✅ Even creative briefs, code, and legal summaries? Being drafted by AI. But here’s the truth most headlines miss: AI won’t replace you — but a person who knows how to use AI will. The future doesn’t belong to those who resist tech. It belongs to those who leverage it to amplify their human edge: judgment, empathy, strategy, storytelling, leadership. Here’s 1 Action You Can Take TODAY to Start Future-Proofing Your Career: Map Your Role — Then Automate One “Low-Value” Task with AI Step 1: List 5 recurring tasks you do weekly. (Examples: Drafting emails, compiling reports, scheduling meetings, researching competitors, formatting presentations.) Step 2: Circle the ONE that’s repetitive, rule-based, or time-consuming. This is your “AI Target Task.” Step 3: Find an AI tool to handle it — and test it this week. 🔹 Writing emails ? → Try ChatGPT or Copilot 🔹 Summarizing meetings or calls? → Copilot 🔹 Creating visuals or presentations? → Try Canva Magic Design 🔹 Analyzing spreadsheets or data? → Try Excel Ideas, Power BI 🔹 Managing your calendar or to-dos? → Try Motion or Reclaim Step 4: Reclaim the time. Use those saved hours for what ONLY you can do: → Build relationships → Solve complex problems → Innovate and ideate → Mentor others → Strategize, not just execute Why This Works: You stop fearing AI — you start using it. You build “AI fluency” — a top employability skill in 2025 and beyond. You position yourself as a forward-thinking professional — not a victim of disruption. You free mental bandwidth for higher-impact work (which = more visibility, more value, more job security). — 📌 Save this post. Bookmark it. Revisit it. 🔁 Share it with a colleague who’s feeling the tech-pressure. 👇 Comment below: What’s the FIRST task you’ll hand off to AI? #FutureOfWork #CareerCoaching 

AI is powerful - your business expertise indispensable - and empathy irreplaceable. How are you integrating these three to secure your position and lead in the future of work? The question isn’t whether AI will change how we work anymore - it’s how you, as a leader, will adapt to lead. Integrating AI, Expertise, and Empathy: A Winning Formula 1️⃣ AI’s Power: Imagine leading a global sales team. AI can analyze market trends, predict customer needs, and optimize pricing strategies in seconds. But while AI provides the what, it’s up to you to determine the why and how. 2️⃣ Your Expertise: Your business acumen turns AI’s data into actionable insights. From deciding which market to prioritize to tailoring customer solutions or navigating tough negotiations, your strategic lens transforms data into impactful decisions. 3️⃣ Empathy’s Irreplaceability: AI might suggest the best time to send an email, but it can’t sense when a team member is disengaged or when a stakeholder needs reassurance. Your ability to connect, inspire, and build trust is the differentiator that transforms AI-driven strategies into real results. 🚀 Client Success Story: Merging AI with Leadership A senior operations leader at a multinational logistics firm sought to integrate AI into her team’s workflows to optimize delivery routes, reduce costs, and improve customer satisfaction. While AI provided precise data, her team resisted the changes, fearing redundancy and feeling overwhelmed. In coaching, we prioritized on 3 areas: 1️⃣ Building Empathy: She led the way to open and vulnerable communication, shared her fears too, addressed concerns, and created psychological safety, transforming resistance into collaboration - as a team. 2️⃣Leveraging AI: Together they reframed AI as a tool to enhance capabilities, expanding the team’s perspective to focus on it as strategic, high-value partner. 3️⃣ Showcasing Expertise: Now that the resistance was being replaced by openness, and even enthusiasm, the team was in flow, blending their deep industry knowledge enhanced with their AI readiness. The results? 🚀 A 25% boost in operational efficiency, 18% fewer delivery delays, and a 30% rise in customer satisfaction. 🚀 Her leadership also secured her and members of her team promotions and broader responsibilities. The future isn’t just about what technology can do - it’s about what you can achieve with it. Let’s ensure you’re not just adapting to the future of work - you’re shaping it. DM me to discuss your game plan.

If you think AI will replace L&D roles, you’re right. If you think it won’t, you’re right too. AI can replace parts of learning and development. It already creates courses, quizzes, learning paths, and even entire training portals—automatically. And it’s getting better every day. But here’s the truth: AI will replace some L&D professionals. The ones who resist change, who stick to outdated content and delivery, who view AI as a threat instead of a partner. The others? The curious, the adaptive, the ones who ask: “How can this make learning better?” They won’t just survive. They’ll thrive. The future of L&D isn’t human vs. AI. It’s human with AI—pushing the boundaries of learning effectiveness, personalization, and scale. 👉 Here are 5 ways to stay irreplaceable in L&D: 1️⃣ Master learning needs analysis ↳ AI can generate content, but it can’t diagnose the right learning problems to solve. ↳ How: Always start with discovery—talk to stakeholders, analyze performance gaps, and connect learning to business outcomes before building anything. 2️⃣ Elevate your learning narratives ↳ Communicating the why behind a learning program is more critical than ever. ↳ How: Frame each program with a clear, compelling story of impact—why it matters, who it helps, and how it moves the business forward. 3️⃣ Learn prompt design ↳ Prompting is an L&D superpower, not a technical skill. ↳ How: Build a personal prompt library for generating content, scenarios, reflections, and assessments. Iterate and refine for better outputs. 4️⃣ Go beyond courses ↳ Understand the business, behavior change, and performance enablement—not just course creation. ↳ How: Spend time with the business. Interview employees. Analyze key metrics. Design learning ecosystems, not just isolated events. 5️⃣ Collaborate with AI, don’t compete with it ↳ Use AI to accelerate content creation, personalize learning, and scale programs. ↳ How: Treat AI as your partner. Let it handle repetitive tasks, freeing you to focus on strategy, human connection, and innovation. Learning is changing—and that’s a good thing. But your mindset will determine whether you lead the change, or get left behind. So ask yourself: Are you waiting to be replaced? Or evolving to be irreplaceable? ✌️ What are you doing to stay ahead of the curve? Drop your thoughts or share what you’re experimenting with. Let’s learn from each other.

Your job in 5 years will require completely different skills. Not a different job. Your SAME job. LinkedIn's latest data shows that by 2030, 70% of the skills used in most jobs will change, with AI emerging as a catalyst. That's essentially being asked to do a different job than the one you were hired for. Same title, same company, totally different capabilities. This may feel unprecedented, but it's not. In 1995, marketing managers didn't need websites or email campaigns. By 2000, they were unemployable without them. Same job title. Completely different daily work. If you see that coming, you can prepare for it. Invest in your own learning and skill building. Here are 5 ideas for you to do that: 1️⃣ Block time weekly specifically for AI experimentation. Treat it like a recurring meeting with your future self. Even 30 minutes is powerful. Pick one repetitive task and see if AI can do it faster. Get curious about something and see if AI can help you figure it out. 2️⃣ Pay attention to what's changing in your organization. What tools are other teams testing? What ideas are others bringing to the table? What's leadership prioritizing? How is the organizational strategy evolving? These signals tell you which skills to build next and help you adapt before you're forced to. 3️⃣ Build and leverage your external network to get signals and ideas from people around you. Find people inside and outside your industry and ask them what they're observing, learning, and doubling down on. Stay connected to the outside world. Don't stay insular. 4️⃣ Think about your job as "what outcomes do I create?" not "what tasks do I do." Ask yourself: "If AI handled 80% of my current tasks, what would my job become?" That's where you can build more skills. AI will change the tasks quite a bit, but not as much as the outcomes you're responsible for. 5️⃣ Communicate what you're doing. Document it so you can share with others. Offer to help your colleagues. This builds your reputation for collaboration and proactive mindset. That attitude is valuable. Build your muscle while everyone else is still debating whether this is real. What would change if you started experimenting this week instead of waiting?

“How can I use AI to get more done?” Here’s the twist: Getting more done isn’t what makes AI valuable. Focusing on the work that matters most is. AI shines when it helps you protect and amplify your Most Valuable Activities (MVAs). The work only YOU can do. Your MVAs live at the intersection of your strengths, experience, and creativity. They’re where you create the greatest value...and they’re the hardest to replace. Yes, even by AI. If you want to become truly invaluable, your MVAs must sit at the center of your career. That’s where the Five Invaluable Factors come in. With AI as your assistant, each one becomes a multiplier: 1. Capability - Know your strengths. AI can identify patterns in your work and help connect your skills to higher-value opportunities you may be overlooking. 2. Adaptability - Markets change fast. AI can track trends, flag work that’s becoming low-value or easily automated, and help you shift your time toward future-proof MVAs. 3. Productivity - Protect your best energy. Let AI triage email, summarize threads, filter meetings, and reduce noise to improve your overall focus. 4. Community - Relationships still matter most. AI can handle scheduling, reminders, and follow-ups so you can invest more time building genuine connections. 5. Visibility - Value only counts if people can see it. Use AI to help craft posts, updates, and case studies that highlight your MVAs and build credibility. When you focus on your MVAs and use AI to support everything around them, something powerful happens: Your value becomes unmistakable. Jobs will come and go. Invaluable people don’t. 👉 If you could improve just one factor this month, which would make the biggest impact? Share in the comments! #productivity

With the threat of layoffs everywhere, my students asked me: "How do we make ourselves invaluable on an AI/ML team?" 🤔 I told them three things: Hint: It's not coding. It's not knowing the latest API frameworks either. Here's the real answer that will keep you employed and even get you a promotion… 𝟭. 𝗠𝗮𝘁𝗵 ✍️ Not just being able to string together model architectures with libraries, but developing true math intuition. When the models break down, when the libraries fail us, it's this intuition that helps us debug at a fine-grained level. I've seen teams spend weeks stuck on problems that a little math insight could have solved in hours. 𝟮. 𝗪𝗵𝗶𝘁𝗲𝗯𝗼𝗮𝗿𝗱 🟰 The best AI systems I've ever seen started as simple diagrams on a whiteboard. It's how you ensure that every single person on the team understands the architecture, the data flow, the edge cases. It's how I train my own students. 𝟯. 𝗣𝗲𝗼𝗽𝗹𝗲 🤝 Getting AI projects right is as much about understanding people as it is about understanding machines. The best AI/ML professionals are masters of both. Tools change. Fundamentals don't. Surprised I didn't mention PyTorch or the latest LLM APIs? That's exactly the point 😉 #aibyhand #math

AI won't replace managers.  But managers using AI will replace those who don't. The biggest wins aren't in automation, they're in decision-making speed. Upload your data to ChatGPT or Claude, and it spots risks and opportunities in seconds. You still make the call, but with better insights. I spend a lot of time educating clients on how to apply AI and wanted to share a few tips for managers looking to get ahead. 1. 𝗧𝗵𝗶𝗻𝗸 𝗟𝗶𝗸𝗲 𝗮 𝗗𝗮𝘁𝗮 𝗗𝗲𝘁𝗲𝗰𝘁𝗶𝘃𝗲 Stop making gut-only decisions. Learn to ask: "What data do I have on this?" Then use AI to analyze patterns. Be specific in what you ask. For example, ask it to analyze your sales team's performance data. What patterns emerge? One task I use it for is expense report analysis. 2. 𝗠𝗮𝘀𝘁𝗲𝗿 𝘁𝗵𝗲 𝗔𝗜 𝗜𝗻𝘁𝗲𝗿𝘃𝗶𝗲𝘄 𝗧𝗲𝗰𝗵𝗻𝗶𝗾𝘂𝗲 The most effective managers use AI as a strategic thinking partner. Instead of asking "How do I solve this?" ask AI to interview YOU about the problem. Try this prompt: "Act as an expert interviewer. Ask me one question at a time to help me understand [your challenge]. Pull the best ideas out of my head." Give it some context before you start. 3. 𝗟𝗲𝗮𝗿𝗻 𝗗𝗲𝗰𝗶𝘀𝗶𝗼𝗻 𝗙𝗿𝗮𝗺𝗲𝘄𝗼𝗿𝗸𝘀 AI is great at decision frameworks. An example is the 7-step decision process: Clarify objectives → Map stakeholders → Analyze data → Generate alternatives → Evaluate risks → Plan → Execute. Your role: Use AI for research and analysis. Follow this framework to dive deep into any subject. You can prompt it as you work down the framework. 4. 𝗙𝗼𝗰𝘂𝘀 𝗼𝗻 𝗣𝗿𝗲𝗱𝗶𝗰𝘁𝗶𝗼𝗻, 𝗡𝗼𝘁 𝗠𝗮𝗴𝗶𝗰 AI is excellent at predicting outcomes based on data, but it struggles to generate new ideas. Learn to spot where prediction adds value: Which customers will churn? Which hires will succeed? Which projects will fail? The shift: From "What happened?" to "What will happen?" 5. 𝗗𝗲𝘃𝗲𝗹𝗼𝗽 𝗗𝗮𝘁𝗮 𝗟𝗶𝘁𝗲𝗿𝗮𝗰𝘆 You don't need to be a data scientist, but you need to understand what good data looks like and ask better questions. Essential skills: Reading dashboards, understanding sample sizes, spotting bias in datasets. Don't get bogged down in the technology.  Select one or two models to work with and move forward. I use ChatGPT, Claude, and Preplexity. They will cover 80% of what you need. All have their pros and cons, but they get the job done.  -- ♻️ Share if you think this will help others. ➕ Follow for more insights on technology and innovation

Would You Let a New Intern Run Your Most Important Client Meetings on Day One? That might sound ridiculous. But it’s exactly what many businesses are doing with AI today. I spoke with Elena Agaragimova on her podcast about something I’m passionate about: how to really bring AI into your business the right way. AI is not just another software subscription you bolt onto your tech stack. It’s not a one-size-fits-all app that magically fixes everything. You need to treat AI as a technological entity that needs to learn you. Your values. Your processes. Your special sauce. If you want real results, here’s how you start: ✅ 1. Eliminate Redundancy First, clean up your processes. AI loves clarity. Get rid of duplication and inefficiency. Simplify. Because if you feed AI a mess, you get faster, more expensive messes. ✅ 2. Identify Opportunities Next, look for the best places to apply AI. Where can it save time? Reduce cost? Improve customer experience? Think like a strategist. Don’t just automate for the sake of it. ✅ 3. Build Your Custom, Secured Knowledge Base This is the big one. Stop giving away your data to every off-the-shelf tool. Build your own secured AI knowledge base that knows you intimately. Train it on your products, your customers, your voice. When you do this well, you don’t just automate. You differentiate. We’ve seen companies who did this 3X their valuation. Why? Because they built an AI system that is as unique as their brand. It became a real competitive advantage. You wouldn’t let a new hire run your top client meetings on day one. So why let a generic AI tool with no context speak for you? Train it. Teach it. Build it to know you. If your AI understands you deeply, you’ll surpass 80% of your competitors who are stuck using generic prompts and templates. AI done right isn’t about the tool. It’s about the strategy. It’s about knowing yourself and teaching your AI to know you. What’s the first place in your business you’d want AI to really know you?