11 Thu Jun 2026
How to Get Into Tech in 2026: A Simple, Honest Guide
AI changed the game, but the path in is still open. A practical guide to choosing a field, building two kinds of CV, and using a 2-skill framework to get hired and paid.
Let me be honest with you up front: getting into tech in 2026 is not as easy as it used to be. AI changed things. The shortcuts people took a few years ago don't all work anymore, and the bar for "entry level" quietly went up.
But don't be discouraged. The same resilience it takes to break into tech today is the same resilience that wins in any field. If you build the discipline here, you can apply it anywhere. So this isn't a "tech is dead" article. It's a map for how to actually get in.
1. Pick a field with intention
Before you learn anything, decide what you're walking toward. You don't need certainty, you need a direction.
roadmap.sh/dashboard is one of the best maps for almost any field you choose. Use it to see the whole terrain before you start climbing one hill.
What's hot right now:
- Cybersecurity — consistently in demand and hard to automate away.
- Anything paired with heavy AI capabilities — AI isn't a field on its own anymore, it's a multiplier on top of whatever you do.
- Forward Deployed Engineer & DevOps — persistent, well-paid roles that reward people who can ship and keep things running.
- Training custom AI models — knowing how to fine-tune or build models for a specific business gives that business an edge, and that's worth a lot.
The single most valuable skill underneath all of these: being able to use AI to save a company money or help it make more. Everything else is a detail around that.
Don't take my word for which field is hot. Search YouTube and LinkedIn, watch how people in each field actually talk and work, and pick based on what you see, not just what you hear.
2. You now have two CVs, not one
This is the part most beginners miss. In 2026 there are two kinds of CV, and you need both.
CV #1 — the PDF. The traditional resume. Still required, still gets you through filters.
CV #2 — the online you. This is the bucket that actually wins jobs now:
- Your GitHub
- Your Dribbble / Behance
- Your LinkedIn
- Live web projects people can click
- Volunteering work
- Leadership experience
Companies now hire YouTubers, builders, and people with a clear, public, proven show of skill. A profile that demonstrates the work beats a document that merely claims it. Spend real time on CV #2.
3. Be intentional, not loud
Here's the trap: AI now lets people apply to 100+ jobs a day. But companies use AI too, and they can filter out 10,000 a day. Volume vs volume is a war you lose.
Your goal should be more intentional than blasting 100 applications. Ten sharp, tailored, genuinely-fitting applications, backed by a strong CV #2, will beat a hundred copy-pasted ones every time. Be the candidate who clearly studied the company, not the one who clearly automated the apply button.
4. Be a professional from day one
Don't wait for a job, a certificate, or permission to start acting like a professional. Position yourself early:
- Talk the talk. Learn the vocabulary of your field before you've mastered it.
- Study the work of people around you. See what good looks like, then aim there.
- Leverage AI to do a lot, fast. Most everyday people are not fully exposed to what AI can do, which means you can.
You can charge people today for things AI can now generate in under five minutes:
- Graphic design
- Video ads
- Product shorts
- Websites
- Mini apps
The gap between "I can do this" and "I get paid for this" is smaller than it has ever been. Step into it.
5. The 2-skill framework
This is the framework I share with almost every beginner in tech. Pick two skills, on purpose, with different jobs.
Secondary skill — the one that feeds you now
Something easy to learn or doable with AI. It won't pay much per job, but it gives you frequent work and many clients. Its job is to sustain you while you learn. Think: graphics, simple sites, short-form video, small automations.
Primary skill — the one that builds your career
Something that takes more time, pays more, and is more professional — e.g. cybersecurity, AI model training, DevOps. This is what you're really becoming. The secondary skill buys you the time and runway to get good at this one.
The mistake is picking only a primary skill and starving while you learn it, or picking only a secondary skill and capping your income forever. You want both: one to survive, one to climb.
The takeaway
Tech in 2026 is harder, but it's not closed. Choose a field with a map, build both versions of your CV, apply with intention instead of noise, act like a professional from day one, and run the two-skill play so you can earn while you grow.
It takes resilience. But that resilience is the real skill, and it travels with you no matter where you end up.
If this helped, share it. It genuinely gives me the motivation to keep writing.

Written by
Dubem Izuorah
Design Engineer
With over 10 years of experience in design and software engineering, I build tools for startups across various industries, with a special focus on marketing tools that support businesses around the world. Lately I'm focused on the Human ↔ AI work loop, helping people collaborate with AI to do great work.