ARTICLE

Careers with a future: what to study, according to the data

Technology, energy, health and care are where the forecasts agree work is growing. Here is what they say, what happened to the people in Spain who studied for those jobs, and how to find the one that fits you, which matters as much as the trend.

By the UTalento team8 min readUpdated
In this article

01

What the forecasts actually say

The job you will have in fifteen years is still yours to shape. What we can read is where the people who study the labour market for a living agree that work is growing, and those signals are clear enough to be useful.

A 2025 global survey asked more than a thousand large employers, together over 14 million workers, how they expect their workforce to change by 2030. Their answer: 170 million new jobs and 92 million displaced, a net gain of 78 million, with 39% of the key skills workers use today expected to change. The fastest growing roles in percentage terms are big data specialists, fintech engineers and AI and machine learning specialists, followed by software developers and security specialists. Renewable energy and environmental engineering also grow quickly. In absolute numbers, the largest growth is in frontline work such as farming, delivery and construction, and in care and education: nursing professionals and secondary school teachers.

The European skills forecasts, made for every member state, reach a similar picture for Europe to 2035: strong growth for ICT professionals and for science and engineering, health occupations expanding as the population ages, and more jobs tied to electricity as energy changes. For Spain they add a striking figure: around 70% of all job openings to 2035 will ask for high-level qualifications, about ten points above the EU average.

One more idea helps read all of this. In the European forecast, most job openings come from replacing people who retire, on top of the new roles. That is why fields with an ageing workforce, such as engineering, health and teaching, will keep hiring steadily even where they grow slowly.

02

Six areas where work is growing

Put the two forecasts side by side and six areas come up again and again. Each one has room for very different people, which is the good news.

  1. Technology and data

    Software, data, cybersecurity and AI itself. The fastest growing roles in the forecasts are here. It suits people who enjoy solving puzzles, building things and learning new tools constantly, and it is reachable through university engineering and mathematics or through higher FP in programming and systems.

  2. Energy and the green transition

    Renewable generation, electrical networks, storage, efficiency in buildings and industry. European forecasts expect electricity-related jobs to rise across Europe. Engineers design it, and qualified electricians and technicians install and keep it running, so both university and FP lead here.

  3. Health and care

    Nursing, medicine, therapy, emergency care and care for older people. An ageing population makes this the steadiest source of demand in both forecasts. It suits people who want their work to be about someone, every day.

  4. Automated industry

    Robotics, automation, mechatronics and the maintenance of smart factories. As factories automate, the work moves toward the people who program, install and repair the machines, and those profiles are in demand.

  5. Life sciences

    Biotechnology, biomedical engineering and the meeting point between biology and data. Medicine, food and environmental work all draw on it, and it suits curious people who like the lab as much as the screen.

  6. Education

    Teachers are among the jobs with the largest absolute growth worldwide, and European forecasts expect teaching to be one of the occupations with the most openings in Europe to 2035. It is work that changes lives slowly and for good.

03

What happened to the people who studied for these jobs in Spain

For each area, a few studies that lead into it in Spain and what happened to the people who finished them: the share in work four years later and their average yearly contribution base (the salary contributions are paid on, a close stand-in for pay). These are official figures; for FP only employment rates are published. The last column shows how much AI use is observed in the work each study most often leads to. Which studies represent each area is our choice; the figures are as published.

AreaStudyIn work 4 years laterAverage yearly contribution baseAI in the work
Technology and dataIngeniería Informática (degree)88%€36,794Seen a lot
Matemáticas (degree)84%€35,556Seen a lot
Desarrollo de aplicaciones web (FP, higher level)80%Not publishedSeen a lot
Energy and green transitionIngeniería de la Energía (degree)87%€37,095Seen sometimes
Ingeniería Eléctrica (degree)88%€38,312Seen sometimes
Sistemas electrotécnicos y automatizados (FP, higher level)76%Not publishedRarely seen
Health and careEnfermería (degree)85%€36,634Seen sometimes
Medicina (degree)95%€44,136Seen sometimes
Terapia Ocupacional (degree)86%€25,123Rarely seen
Emergencias sanitarias (FP, intermediate level)72%Not publishedSeen sometimes
Automated industryIngeniería Electrónica Industrial y Automática (degree)85%€36,036Seen sometimes
Mecatrónica industrial (FP, higher level)80%Not publishedSeen sometimes
Life sciencesIngeniería Biomédica (degree)76%€37,029Seen sometimes
Biotecnología (degree)75%€29,508Seen often
EducationEducación Primaria (degree)75%€31,719Seen sometimes

04

And AI? How to read the last column

“Seen a lot” describes how much AI already appears in that kind of work today, which is a different thing from replacing it. Software development sits in the top band and is still among the fastest growing jobs in the world: the people doing it now use AI as one more tool, and spend more of their time on the parts that need judgement.

Work that happens with your hands, in a specific place or with a person in front of you, such as nursing, emergency care or installing an electrical system, shows AI much less often. It changes there too, more slowly, mostly in the paperwork around the care or the repair.

So the useful question is which parts of a job will grow in value, and the answer employers give is consistent: analytical thinking, resilience, flexibility, leadership and curiosity, together with technical skills in AI and data. Those can be practised in any of these studies.

05

How to choose a career with a future that is also yours

A trend is a good starting point and a poor finishing point. Four years of studying something that bores you shows up in your marks, and a job you dislike is hard to grow in, however much demand there is. The careers that last for a person are the ones where interest and opportunity meet.

Start with what you enjoy working at: people, ideas, things, data, or creating. Then look at which of the six areas has room for that. Someone who loves caring for people can find a future in health, in education or in the human side of technology. Someone who loves building can find it in software, in energy or in a robotics workshop.

Then look at the route. Many of these doors open both through university and through FP, and higher FP cycles often lead to work sooner and can continue to a degree later. The cut-off marks and the subjects that weigh for each degree are in our other articles.

UTalento helps with exactly this step. In a few minutes it shows you how you like to work and what you are drawn to, and turns that into the careers and studies that fit you, with real data about each one. You don’t have to decide the whole path today. Just the next step.

Common questions

  • Which careers will have the most future?

    The forecasts agree on six areas: technology and data, energy and the green transition, health and care, automated industry, life sciences and education. In percentage terms the fastest growing roles are in data, AI and software. In absolute numbers, care, education and frontline work add the most jobs.

  • Is FP a good way into the jobs of the future?

    Yes. Many of these jobs are done by qualified technicians: programmers, electricians, mechatronics and automation technicians, emergency technicians. Higher FP cycles such as web or multiplatform application development and mechatronics show strong employment rates in the official figures, and they can lead on to a university degree.

  • Will AI replace these jobs?

    The evidence points to AI changing jobs more than replacing them in these areas. AI appears most in software and data, which are also among the fastest growing jobs. In health, education and skilled trades it appears much less, because the work happens with people and with your hands.

  • Which of these careers pay best?

    In the Spanish figures, medicine, engineering and telecommunications show the highest average contribution bases four years after graduating. Pay is only one part of the picture: contract stability and how well the job matches the degree also vary a lot between studies, and the best paid career is a poor choice if it does not suit you.

  • What if what I like is somewhere else?

    Then start there. Almost every field connects to one of these areas: law to data protection and energy regulation, design to digital products, economics to fintech, languages to international health and technology companies. Interest is the most reliable predictor of doing well, so it is worth looking for the bridge.

  • How do I know which one fits me?

    Look at what you enjoy, how you like to work and which activities make time fly. UTalento does this with you in a few minutes and matches the result to real careers and studies, with the data for each. Talking it through with your school counselor helps too.

Find the future that fits you

You know where work is growing. Now see where you fit in it: a few minutes, and you get careers and studies that match how you like to work.