A tech career in 2026: the fields, the real numbers, and where to start

If you've been researching how to break into tech, you've probably seen headlines contradict each other on the same day. On one side, "AI is going to replace programmers". On the other, "Brazil is short more than 500,000 tech professionals". Both can't be true at once... or can they?

The truth is that the 2026 market is more interesting (and more full of opportunity) than any scare headline. It really did change, but it changed in a specific way that you can understand and use to your advantage. In this article I bring you the honest map of IT fields in 2026, with current data on salaries and demand, and I finish with a practical plan for where to start. No hype and no doom: just what the numbers show.

The elephant in the room: AI and entry-level jobs#

Let's start with the uncomfortable part, because ignoring it would be dishonest. Yes, AI shook up entry-level jobs, especially in programming. Employment of developers aged 22 to 25 has fallen about 20% since 2022, according to Stanford AI Index data discussed by Stack Overflow. The share of juniors and recent grads in IT employment shrank from roughly 15% to 7% in three years, as demand for juniors softened and small teams shipped more using AI tools.

There, I said it. Now for the part the headlines forget to mention.

That contraction is not uniform. Specialized areas (security, data engineering, ML infrastructure) barely felt the dip. Some of the largest tech companies started increasing junior hiring again. And AI itself created categories of work that didn't exist: model quality, prompt engineering, data curation, AI safety.

What really changed is the kind of junior the market wants. It's no longer the person who memorizes algorithms to write repetitive code. AI does that. It's the person who knows how to work alongside AI: who writes structured prompts, critically validates what the tool generates, and understands enough to say "this part is wrong". That skill, technical judgment, became the new entry-level edge.

AI didn't close the door to a tech career. It raised the entry step. Those who arrive knowing how to use it as a tool get ahead of those who still fear it.

The map of fields (with 2026 data)#

The good news: "IT" is much bigger than "being a programmer". Here's where the demand is, and the numbers behind it.

Software development#

Still the biggest entry door, but with a higher bar for pure juniors. The real demand is for those who pair coding with a specialty (data, cloud, security). According to Robert Half, software engineering remains among the most sought-after roles of 2026, and also among the most affected by a shortage of qualified people (52% of delayed projects cite that gap). Translation: the jobs exist; what's missing is people who are truly ready.

Data, AI and Machine Learning#

This is the fastest-growing area, period. "AI Engineer" was named the fastest-growing job in the US in LinkedIn's Jobs on the Rise report, with postings up more than 140% in a single year. AI, ML and data science roles totaled nearly 50,000 postings in 2025, a 163% jump over 2024. The U.S. Bureau of Labor Statistics projects 23% growth through 2033 for the category that includes these roles, far above average.

Salaries follow: in the US, AI engineers average close to $200K/year, and even entry-level roles start high. In Brazil, mid-level data and AI profiles are among the best paid in the field.

Cybersecurity#

If there's one area with a screaming shortage, it's this one. The ISC2 workforce study points to about 4.8 million unfilled cybersecurity jobs worldwide: the workforce would need to grow 87% just to meet current demand. Two out of three security teams operate understaffed.

An honest heads-up for beginners: 9 out of 10 security managers prefer candidates with some prior IT experience. So cybersecurity is often a great second stop, you get in through support, networking or development, and move into security with a solid base.

Cloud, DevOps and Platform Engineering#

The invisible backbone of everything that runs on the internet. Demand for people who can build and automate infrastructure stays strong, and the area is evolving from "DevOps" into Platform Engineering: teams that build internal platforms so other developers can ship faster. Skills like Kubernetes, infrastructure as code (Terraform) and cloud security push salaries up, and cloud certifications (AWS, Azure) carry real weight on a résumé, some are worth a salary premium of tens of thousands of dollars abroad.

The underrated entry doors#

Not every path starts with coding. For those getting in, these roles have a lower barrier and open many doors:

• IT Support / Help Desk: the classic door. You learn how technology actually works and move into networking, cloud or security.
• Data analyst: less "heavy math" than it seems; SQL plus a BI tool already opens jobs, and it's a natural springboard into data engineering.
• QA / Testing: understanding software quality is valuable, and AI created demand for people who test and validate systems (including AI models).
• UX/UI and Product: for those who love tech but not necessarily code.

According to Coursera, many of these entry roles don't require a degree and can be landed within months of focused study.

And in Brazil?#

Here the story is especially encouraging for beginners. The Brasscom study shows a huge mismatch: the country trains about 53,000 tech professionals a year, while demand exceeds 159,000. Between 2019 and 2024, the sector needed 665,000 people and trained only 464,000, a gap of more than 30%. The projection is an accumulated shortage of more than 500,000 tech professionals.

Why is that good news for you? Because most of that gap doesn't come from a lack of people studying. Enrollment in tech courses grew more than 70%. It comes from dropout: in 2023, of 1.8 million spots in higher-education tech programs, fewer than 5% graduated. In other words: most of your competition gives up halfway. Those who persist, finish, and build a portfolio walk into a market starving for people.

On salaries in Brazil in 2026: a junior developer typically starts in the R$ 3,000 to R$ 5,000 range in hubs like São Paulo, varying a lot with company size, according to surveys by Alura and Glassdoor. Mid-level profiles in specialized areas (data, security, cloud) reach R$ 8,000 to R$ 15,000, and remote work for foreign companies opens dollar-denominated ranges.

What changed in *how* companies hire#

Maybe the most important change for beginners isn't which field to pick, but how companies select. Hiring went skills-first: about 70% of employers now use skills-based practices instead of degrees. The bachelor's-degree requirement for mid-level roles dropped about 33% between 2019 and 2025.

In practice, that means three things:

1. A portfolio weighs more than a résumé. Real projects you can show and explain are worth more than a list of courses.
2. Technical assessments replace the "degree filter". You prove what you know by doing, not by paper.
3. The question stopped being "where did you study" and became "what can you build".

For someone starting now, that's liberating: the game rewards those who do.

Where to start: a plan that works#

Put it all together and the path gets clear. It's not magic, it's consistency.

1. Pick ONE area and commit to it. The most common beginner mistake is hopping between topics. Look at the map above, find what sparks genuine curiosity (you'll spend hours on it), and focus. You can switch later; what you can't do is advance on five paths at once.
2. Master the fundamentals before chasing the "framework of the month". Logic, a bit of how the internet works, and the basics of your field. Fundamentals age slowly; tools age fast.
3. Learn by doing. Watching a video isn't learning, it's watching someone else learn. Build small, real projects from week one. That's what your portfolio comes from.
4. Use AI as a tutor and a tool, with judgment. Ask it to explain, generate examples, review your code. But always validate. The ability to work well with AI is now a hiring edge.
5. Consider an entry-level certification. CompTIA, Google, AWS and Microsoft offer recognized certifications that help prove your level, especially useful in support, cloud and data.
6. Be patient with the timeline. For most people, it's 3 to 12 months of focused study until that first entry job. It'll feel slow in the middle. That's normal. The people who keep going when it gets hard are exactly the ones who join the 5% who finish.

Conclusion#

The 2026 tech market isn't the easy paradise of a few years ago, nor the desert that fear of AI paints. It's a market that's demanding and starving at the same time: the entry bar went up, but demand for people who truly know how to do the work has never been greater. In Brazil, hundreds of thousands of professionals are missing.

If I could leave you with a single idea, it would be this: most of your competition will quit halfway. The barrier in 2026 isn't AI, nor a lack of jobs. It's persistence. Pick a path, build real things, use AI to your advantage, and keep going when it gets boring. The market is waiting for exactly that.

I made this transition myself (I came from chemistry and the lab bench to full stack development. If I could start over, so can you. If you'd like to talk about where to begin, reach out on LinkedIn) I'd love to help.