Everything’s moving fast. If you’re feeling like you’ve already missed the AI boat, you’re not alone. That sense of urgency is real — and it’s showing up in conversations that is had almost every day.
The world is being rewritten in real time. And the companies building with AI are at the center of it.
Even Sam Altman recently said this is the best moment in history to build a career — “surfing the greatest technological wave maybe ever.” It’s hard to disagree. But it can also feel overwhelming, especially when you’re trying to figure out how to stay relevant or where to start.
Here’s the good news: it’s not too late. AI is still in its early innings, and the window to get involved is very much open.
That said, breaking into AI isn’t about diving in blindly or waiting passively. It takes focus, curiosity, and a bit of strategic thinking. Here’s how to start:
1. Build AI Fluency, Don’t Just Watch It, Use It
You don’t need to become a machine learning engineer to work in AI. But you do need to understand how it works, where it’s headed, and how to use it in real-world contexts. That means:
- Learning the basics of how AI and LLMs function
- Experimenting with AI tools like Lovable (for apps), Cursor (for code), Gamma (for content), Granola (for notes), Dust (for AI agents), and ElevenReader (for reading)
- Practicing prompting as a core skill — knowing how to ask the right questions and get better outputs
This first-hand experience will sharpen your instincts and help you develop a real point of view on the AI landscape — something that will set you apart.
2. Find Your Edge, that is Where AI Meets Your Existing Skills
You don’t have to start from scratch to enter AI. Often, your existing skills are exactly what AI companies need — especially as AI becomes more verticalized.
Think about:
- Your domain expertise. If you know healthcare workflows, look at companies like Anterior. Or If you’re steeped in customer service, check out Sierra. If you know legal systems, explore Harvey.
- Your soft skills. AI teams need people who communicate clearly, understand user needs, and can make smart decisions in complex systems.
- Your technical context. Even if you’re not an engineer, having worked in technical environments gives you an edge in AI product, ops, or go-to-market roles.
Your edge is where your skills intersect with real AI problems.
3. Cut Through the AI Hype: Look for Substance
Right now, every company wants to be “AI-powered.” But not all of them are solving real problems.
Here’s how to spot the difference:
- Look for startups building actual utility, not just AI wrappers.
- Be open to newer companies that haven’t built a strong brand yet.
- Don’t get stuck on titles — in fast-moving AI companies, roles are evolving and often broader than traditional org charts.
The best opportunities often come from companies you haven’t heard of — yet.
4. Follow Great People, Not Just Great Ideas
In emerging spaces, who you work with matters as much as where you work. Watch where talented builders are going. Track:
- Former colleagues moving into AI
- Founders and operators you admire
- Investors or accelerators with a good eye for breakout AI startups
Use platforms like LinkedIn to trace team moves, join AI-focused events, and explore experimental networking tools like Gigi, which helps tech professionals meet others in their space.
Strong networks will give you context, intros, and traction.
5. Don’t Let FOMO Drive Your Career Decisions
Yes, AI is hot. But that doesn’t mean every move needs to be AI-driven. Sustainable career choices come from alignment — not panic.
Ask yourself:
- Does my current path still have upside?
- Am I chasing hype or finding problems I care about solving?
- Can I add value in AI, or am I just reacting?
Not every impactful company will be an AI company. And not every great role requires you to be an AI expert. But if you want to make a move, do it with intention, not anxiety.
You’re Not Too Late but You Do Need to Start Now
The best way to enter the AI wave isn’t by abandoning who you are — it’s by combining your unique edge with a proactive commitment to learn, explore, and adapt.
Let curiosity lead you, but be strategic. Build skills. Follow the right people. Stay grounded in your motivations. The AI moment isn’t going away anytime soon — and it’s absolutely not too late to make it your moment too.
