Growing and declining professions in the next decade


Talking about professions in growth and decline is not trying to guess a magic list of positions. The market changes by tasks. Some tasks grow because they solve new problems. Others lose value because they are repetitive, easy to automate, or disconnected from important decisions.

In Europe, four forces weigh heavily in the next decade: artificial intelligence, digitalization, population aging and the green transition. The useful question is not “will my profession end?” It’s “what part of my work becomes more valuable and what part can be automated, moved or compressed?”

Technical team together working with computers in a project room

The forces that change professions

StrengthWhat increasesWhat presses
AI and automationdata, integration, assessment, security, productivityrepetitive tasks, simple sorting, standard text, manual reporting
Demographicshealth, care, education, essential servicessectors with little capacity to attract workers
Green transitionenergy, construction, mobility, efficiency, compliancefunctions without adapting to new standards and technologies
Digitizationsoftware, cloud, cybersecurity, digital operationsprocesses based on isolated spreadsheets and manual work
Selective globalizationinternational and multilingual functionslocal positions without differentiation or language

The World Economic Forum’s Future of Jobs 2025 report projects strong growth in functions such as big data, fintech, AI, software, security and engineering linked to the energy transition. The Cedefop Skills Forecast projects European trends until 2035 and reinforces the importance of the digital, green and demographic transition. EURES shows concrete shortages in occupations such as healthcare, construction, transport, cooking, welding and electricity in several countries.

Professions and functions with a growth trend

Applied technology, data and cybersecurity

It’s not just “working with AI”. Demand tends to grow for those who apply technology to real problems:

  • software and applications;
  • cloud and infrastructure;
  • cybersecurity;
  • data analysis;
  • data engineering;
  • automation;
  • systems integration;
  • product operations;
  • software implementation;
  • governance and data quality.

The difference is leaving the tool and reaching the impact. “Sei Power BI” is weak. “I built reporting that reduced commercial rework and improved predictability” is stronger.

Health, care and services linked to aging

European aging creates demand for doctors, nurses, caregivers, technicians, pharmacy, physiotherapy, social support and service management. It also creates indirect demand in logistics, data, quality, service, training and medical technology.

Clinical professions may require recognition of qualifications and local language. Non-clinical roles may have broader input, but still need sectoral context.

Energy, construction and green transition

The green transition increases demand in renewable energy, electrical networks, energy efficiency, construction, maintenance, engineering, auditing, procurement, environmental compliance and project management.

Many opportunities appear within traditional positions. An operations manager can start measuring waste. A buyer can evaluate suppliers by environmental criteria. An engineer can work with electrification. A project manager can coordinate energy efficiency works.

Education, training and requalification

The more work changes, the more people need to learn again. This creates space for:

  • technical trainers;
  • instructional designers;
  • specialists in corporate learning;
  • career mentors;
  • customer education;
  • sales and product enablement;
  • training for digital tools.

Here, practical credibility matters more than speech. Anyone who can teach an applicable skill gains strength.

Hybrid functions

Many opportunities will not be in “pure” roles. Profiles that combine:

  • marketing + data;
  • operations + automation;
  • finance + systems;
  • HR + people analytics;
  • health + technology;
  • sales + technical knowledge;
  • product + customer research;
  • compliance + data.

If you want to change your field, read How to change your professional field without starting from scratch. The best transition often uses previous experience as an advantage, not as something to hide.

Most pressed functions

Decline does not mean immediate disappearance. It means lower growth, fewer vacancies, pressured salaries or the need for new skills.

Most exposed tasks:

  • manual data entry;
  • repetitive reports;
  • simple administrative screening;
  • basic service without specialization;
  • standardized document processing;
  • secretariat without systems knowledge;
  • first-line support without technical knowledge;
  • production of generic content;
  • design or text without strategy, research or differentiation;
  • functions that only transfer information between systems.

The WEF points to pressure on clerical functions, cashiers, administrative assistants, secretarial, printing, banking and some accounting tasks. But correct reading is by task. A person in accounting who just enters data is more exposed. A person who interprets risk, automates processes and explains financial impact is less exposed.

How to assess the risk of your profession

Take inventory of your weekly work:

Task typeQuestionRisk
RepetitiveCan anyone write clear rules for doing this?High
Judgment-basedDoes it require a decision with incomplete context?Minor
RelationalDoes it depend on trust, negotiation or care?Minor
Specialized techniqueDoes it require certification, system or difficult knowledge?Variable
StrategicDoes it influence revenue, risk, cost or quality?Minor
In-person manualDo you need physical presence and practical skills?Variable

Then mark three colors:

  • red: tasks that can be automated or outsourced;
  • yellow: tasks that require a new tool;
  • green: tasks that demonstrate judgment, impact and responsibility.

The career plan must increase the percentage of green work.

Skills that better protect your career

The most useful skills are not just technical. These are combinations:

  • data literacy;
  • analytical thinking;
  • clear writing;
  • communication with stakeholders;
  • basic automation;
  • business knowledge;
  • project management;
  • ability to learn tools;
  • language relevant to the market;
  • collaboration in international teams;
  • ethical judgment and risk assessment.

If you need to study without spending money, start with an applicable project. A course only gains value when it becomes a test. See Where to learn for free and with credibility in 2026.

Practical 30-day plan

Week 1: list your tasks and classify them by risk. Do not classify the entire position; rates the actual work.

Week 2: read 20 job openings that you want to fill in two years. Note tools, results, languages, certifications and recurring responsibilities.

Week 3: choose a skill that creates a test in less than a month: automate a spreadsheet, create a dashboard, document the process, improve presentation, write analysis, put together a portfolio case.

Week 4: update CV and LinkedIn with the new test. Don’t write “I studied AI” or “I learned data”. Write what you did, with context and result.

This cycle is worth more than keeping lists of “professions of the future”. Lists inspire; tests change candidacy.

The best protection is not to choose an “immune” profession. It means working ever closer to important problems, with clear evidence of judgment, technology, communication and impact.