Career Pivot Strategies Using AI

Most job seekers are using AI wrong. They ask vague questions like: 👉 “Can you write me a cover letter?” 👉 “What’s the best way to find a job?” And then they wonder why the answers sound generic. Here’s the truth: AI works best when you know how to work with it. Think of it less as a “magic machine” and more as a sparring partner. Here’s a simple 3-step framework I use with clients: 🔹 Step 1 – Give it a persona Need a recruiter’s POV? Tell AI to act like one. Want industry insights? Make it your market researcher. Looking for career strategy? Ask it to be a career coach. 🔹 Step 2 – Share specific info about you The clearer you are, the better the output. Don’t just say “I am in finance.” Say: “I am a mid-level finance professional with 8 years in risk management, looking to pivot into fintech in Singapore.” 🔹 Step 3 – Break it down into milestones Instead of asking, “Find me a job,” ask for smaller, actionable steps. Use AI to brainstorm, refine, and pressure-test your strategy. ⸻ 💡 Example: Building a Target Company List Instead of Googling endlessly, you could ask AI: “You are a market researcher. Based on my 8 years in risk management and my goal to move into fintech in Singapore, identify 5 fintech sub-sectors I should explore. For each sub-sector, give me 10 fast-growing companies with at least 200 employees and a track record of hiring foreigners.” From there, you refine the list, research deeper, and start networking with intention. ⸻ AI won’t do the job search for you. But when used right, it will make you sharper, faster, and more strategic. And in this market, that’s the edge you want. 👉 Have you tried using AI in your job search yet? What worked (or didn’t) for you?

90% of people are getting garbage career advice from AI. Including me, until I figured out this framework. Here's what nobody tells you about using AI for career development: It's only as smart as the context you give it. So I'm finally sharing my full prompting framework that's transformed my career: ✅ Start with context about your actual goal ↳ Not "help with interviews" but "I'm transitioning from data analyst to product manager and have 3 interviews next week" ✅ Set the tone you need to hear ↳ Ask for a mentor who's been where you are, not a robot reading from a career textbook ✅ Share your actual background ↳ Upload your resume, link your LinkedIn, mention the companies you're targeting ✅ Be specific about what you need ↳ "Give me 5 behavioral questions for a product manager role at a Series B startup" beats "Help me prep" every time ✅ Provide examples of your situation ↳ "I led a data migration project but have no direct PM experience" gives AI something to work with ✅ Include your career journey ↳ Where you've been, where you're stuck, what you're trying to achieve ✅ Ask for step-by-step breakdowns ↳ Complex career moves need phases, not one giant leap ✅ Request structured outputs ↳ "Give me: Current State Analysis, 30-Day Action Plan, Key Skills to Develop" makes advice actionable I went from getting the same recycled career advice everyone else got, to now getting advice that could only work for someone with my exact background, goals, and challenges. And that's the thing about AI… it's not magic. It's a mirror that reflects back exactly what you show it. ♻️ Reshare this if it helped and follow me Megan Lieu for more career + AI tips!

Woke up to see Business Insider write about my “be a crab” metaphor 🦀🦀 I'm so glad this point resonated as 𝗯𝗲𝗰𝗼𝗺𝗶𝗻𝗴 𝗮𝗻 𝗔𝗜 𝗣𝗠 𝗱𝗼𝗲𝘀 𝗻𝗼𝘁 𝗺𝗲𝗮𝗻 𝗯𝗲𝗰𝗼𝗺𝗶𝗻𝗴 𝗮 𝗱𝗶𝗳𝗳𝗲𝗿𝗲𝗻𝘁 𝗽𝗲𝗿𝘀𝗼𝗻. Don't talk about “transitioning into AI” as if everything they’ve done so far no longer counts. That’s not how this works. Becoming an AI PM doesn’t mean forgetting your past. It means bringing your niche with you — and leveraging it on AI products. Some concrete examples. ✨ If you previously worked in hearing aids / medical devices: You don’t suddenly become a generic AI PM. You become the PM who knows how AI fits into regulated hardware, edge constraints, latency, trust, and real human stakes. Now you’re building AI-powered hearing features, personalization, tuning, or diagnostics — grounded in a domain most people don’t understand. ✨ If you previously worked in sports: You bring your understanding of fandom, moments, rituals, and engagement — and apply AI to recommendations, highlights, community experiences, or personalization for sports fans. ✨ If you worked in payments, growth, onboarding, trust, creator tools, education — same story. Your edge doesn’t disappear. AI just becomes a new lever. What doesn’t work is this mentality: -“I’m pivoting into AI and want to learn everything.” What does work is interviewing like this: “This is the kind of PM I already am. Here’s the problem space I know deeply. And here’s how AI changes what’s possible in that space.” A simple way to approach this, step by step: ✨ 1. Name your niche clearly Domain, user, or craft. One sentence. ✨ 2. Ask: where does AI actually show up here? Not everywhere. One or two surfaces. ✨ 3. Build something small in that context A prototype, a flow, a demo — tied to a problem you already understand. ✨ 4. Tell the story from your past → to now Not “I switched careers.” But “I extended my toolkit.” So don't feel like you're starting over, you're compounding. AI doesn’t erase who you are. It makes what you already know more powerful — if you let it.

Stop asking “Can I?” Start asking “How can I?” Lately, I’ve been mentoring many mid to senior-level professionals who feel stuck watching the AI wave rise around them. They’re great at what they do, but I keep hearing the same thing: “Can I really pivot into AI?” “What if I don’t have the right background?” Here’s what I tell them. The question isn’t if you can. It’s how you can. Because everyone’s “how” looks different. Step 1: Find your general direction Not your forever plan. Not your ten-year goal. Just a direction that excites you enough to start moving. Maybe it’s: • Operations to AI-driven automation • Marketing to data-driven personalization • Product management to AI-powered products Pick something broad enough to explore. You’re not locking yourself in. You’re simply choosing a starting point. Step 2: Take small, consistent steps This is where the growth happens. You don’t need to quit your job or enroll in another degree. You just need to move. • Start a small project using AI tools. • Join a nonprofit AI initiative. • Collaborate on an internal experiment that uses data or automation. Each small step builds confidence. Each small win builds momentum. And the more you experiment, the clearer your next step becomes. Think T-shaped 📚 Before you go deep, go wide. Learn the fundamentals. Understand how AI systems work, who the key players are, and what workflows look like. Then identify: • What excites you • What aligns with your strengths • What transferable skills give you a head start That’s your edge. That’s where you go deeper. It’s not about reinventing yourself. It’s about repurposing your superpower. Here’s the truth, even those of us already in AI are constantly relearning. The tools we used three months ago may already be outdated. The people who thrive here aren’t the ones who know the most, they’re the ones who adapt the fastest. This field rewards curiosity, not perfection. So whether you’re just starting or shifting mid-career, be brave enough to jump in, experiment, and keep learning.

Career pivots aren’t a single leap, they’re a series of decisions that shape the work you’re known for. When I moved from a non-technical background into AI product building, I set one rule for myself: The projects I take must make AI usable for non-technical people. That rule has guided every choice since and it’s how I ended up helping a client who couldn’t make sense of their own CRM data. The situation: No data analysts. Most of the team wasn’t comfortable with pivot tables or SQL. Reports existed… but they didn’t translate into decisions. The challenge for me was clear: Do I give them another “Fancy Tech” product or design something so simple that anyone in their company could use it every week and understand data immediately? I chose the second path. Here’s what we built: CRM → auto-export into an AI analysis pipeline. AI cleaned, structured, and explained trends in plain English. Auto-generated charts dropped into a one-page summary. Delivered to every decision-maker before their Monday morning meeting. (Check the image below) The result: The leadership team went from asking “What does this mean?” to making confident, data-backed decisions before their coffee cooled. No new hires. No new training. Just faster, clearer decisions for everyone. If you’re a non-technical professional pivoting into AI, no idea where to begin. Everything felt overwhelming, tools, jargon, endless possibilities. This is the simple approach I wish I had back then (and still use today): 1. Start with a problem you deeply understand. Don’t start with “I want to use AI” start with “This slows us down or costs us money.” If you already know the pain points, your AI solution will solve real issues instead of just looking good in a demo. 2. Map the workflow before you think about the AI tool. Lay out the exact steps from trigger → process → outcome. Find where the delays, errors, or unnecessary handoffs live. That’s your blueprint for inserting AI where it counts. 3. Place AI where it removes confusion and manual steps. The best AI acts as an accelerator, not an extra step. Use it where it reduces complexity, explains things clearly, or automates the repetitive work. Always make the user’s life easier. 4. Use AI to build AI, speed is your edge. there are many platforms with AI which will let you ship in days, not months. That’s my philosophy: Use AI to Build AI, fast, simple, and accessible to everyone. Your pivot into AI doesn’t have to be perfect, it just has to start. Build one small win, let it teach you the next step, and soon you’ll realize you’re not just using AI… you’re using AI to build AI. 🚀

𝟵𝟳 𝗠𝗶𝗹𝗹𝗶𝗼𝗻 𝗔𝗜 𝗝𝗼𝗯𝘀 𝗔𝗿𝗲 𝗖𝗼𝗺𝗶𝗻𝗴—𝗛𝗲𝗿𝗲 𝗔𝗿𝗲 𝟲 𝗦𝘁𝗲𝗽𝘀 𝘁𝗼 𝗣𝗶𝘃𝗼𝘁 𝗬𝗼𝘂𝗿 𝗖𝗮𝗿𝗲𝗲𝗿 𝗦𝘂𝗰𝗰𝗲𝘀𝘀𝗳𝘂𝗹𝗹𝘆 AI is transforming industries faster than we imagined. According to the World Economic Forum, by 2025, 85 million jobs will be displaced, but 97 million new ones will be created. The real question is: Will your career adapt to this shift, or risk being left behind? Back in 2018, I decided to pivot into AI. Here’s exactly what I did to make the shift, and how you can do it too: 1 - Learn the Fundamentals: Don’t wait for your company to train you. Back then, I joined one of the first executive AI courses at Stanford University. ↳Today, platforms like LinkedIn Learning ( 1 click away ) and Coursera make it easier than ever to start. ↳Own your learning—curiosity is your greatest advantage. Follow people like Andrew Ng who is always sharing great content and free here. 2. Integrate AI Into Your Current Role: I started small by incorporating AI into strategy discussions, product improvements, and productivity initiatives. ↳Whether it’s better forecasting, writing, smarter customer engagement, or automating workflows, go find a way for AI to add value in your role right now. 3. Play to Your Strengths: Pivoting doesn’t mean starting from scratch. ↳I didn’t try to become a data scientist—I focused on using AI to innovate and reinvent businesses, which was my core strength. Find a niche within AI that fits your expertise, and build from there. 4. Rebrand Yourself: Update your job title to reflect your focus on AI. ↳Add “+ AI” and show your commitment by writing, speaking, or even teaching about how AI impacts your field. ↳Thought leadership is built by taking action, not waiting for permission. 5. Be Relentless About ROI: AI is powerful, but it’s not cheap. ↳Avoid the hype by always tying AI initiatives to measurable outcomes. ↳Knowing exactly how AI creates value will set you apart as a strategic thinker. 6. Build Your Career Path Around AI: Once I integrated AI into my work, I expanded further—joining AI companies, advising startups, and eventually writing a book (coming soon) about the field. ↳These moves weren’t without risk, but they aligned with my vision for the future. AI has become central to everything I do, and it’s been worth every step. For additional inspiration, follow Allie K. Miller—a top AI influencer whose career pivot from an employee in AI to an entrepreneur and evangelist in the field has inspired many people, including myself. Let me know the steps you are taking to make AI part of your career. If you like this post share it to network ♻ #AI #JobsOnTheRise #GetHired2025 #career

AI Career Strategies I was laid off three times. The first one nearly destroyed me. But here's what I learned: The person who rebuilds after rock bottom isn't the same person who fell. And right now, in the middle of 2025's layoff surge (1M+ jobs cut this year), I see so many talented people making the same mistakes I did. So I spent an hour with a friend last week who just lost his job. Here's exactly what I told him: 𝗔𝗜 𝗶𝘀 𝗻𝗼𝘁 𝗿𝗲𝗽𝗹𝗮𝗰𝗶𝗻𝗴 𝘆𝗼𝘂. 𝗣𝗲𝗼𝗽𝗹𝗲 𝘂𝘀𝗶𝗻𝗴 𝗔𝗜 𝗮𝗿𝗲. The candidates who understand this are getting callbacks. The ones who don't are wondering why their resume disappears into the void. Here's my playbook: 𝟭. 𝗧𝗿𝗮𝗶𝗻 𝗔𝗜 𝘁𝗼 𝗸𝗻𝗼𝘄 𝗬𝗢𝗨 Get a paid ChatGPT or Gemini subscription. On day one, have it interview you. Tell it your career story, your wins, your voice. The more it knows you, the better it writes FOR you—in your voice, not robot-speak. 𝟮. 𝗥𝗲𝘄𝗿𝗶𝘁𝗲 𝘆𝗼𝘂𝗿 𝗿𝗲𝘀𝘂𝗺𝗲 𝗳𝗼𝗿 𝗲𝘃𝗲𝗿𝘆 𝗷𝗼𝗯 Feed AI your resume + the job description + what you know about the hiring manager. Let it restructure your experience to mirror their language. ATS systems match keywords—give them what they're scanning for. 𝟯. 𝗖𝗿𝗲𝗮𝘁𝗲 𝘃𝗮𝗹𝘂𝗲 𝗯𝗲𝗳𝗼𝗿𝗲 𝘁𝗵𝗲𝘆 𝗮𝘀𝗸 I got my current role by building a custom GPT to solve a problem for the COO—before I was even hired. Show them you can deliver insight, not just a resume. 𝟰. 𝗨𝘀𝗲 𝗔𝗜 𝘁𝗼 𝗽𝗿𝗲𝗽, 𝗻𝗼𝘁 𝗷𝘂𝘀𝘁 𝗮𝗽𝗽𝗹𝘆 After every meeting or interview, dump your notes into AI. Ask it: What should I follow up on? What did I miss? What's my next move? It becomes your career strategist at $20/month vs. $250/hour. But here's the part that changed everything for me: Last week, a church leader gave me advice I'd never heard before. He said: "Don't pray for a job. Pray to find the people who need your experience. The company that needs what you've walked through to help lift others." That hit different. Because suddenly the job search isn't just about ME surviving. It's about finding where my rebuilding, my hard seasons become someone else's lifeline. If you're in the middle of this right now—whether it's week 1 or month 6—know this: The setback is writing a chapter someone else needs to read. Keep going. What's one thing AI has helped you with in your career? Drop it below 👇 #JobSearch #CareerAdvice #AITools #Layoffs #Resilience #CareerGrowth #TechCareers #JobHunting #AIInBusiness #ProfessionalDevelopment #Leadership #CareerTransition #ChatGPT #LinkedInTips #Networking #FutureOfWork #Gethired #DigitalLeader