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The situation

A group HR director in Rotterdam has hiring approved in Poland, Texas, Singapore and São Paulo, and every regional lead wants the same three things: an AI engineer, a cybersecurity specialist and a scarce clinical or electrical trade. Her budget assumes 2023 prices. The market says otherwise.

The same week, a logistics coordinator in Ankara weighs a data-engineering course against an electrician apprenticeship. Both appear on “jobs of the future” lists; she wants to know which is a global trend and which a local blip.

The rising professions of 2026 are easier to name than at any point in the last decade, because the major forecasts agree. The World Economic Forum’s Future of Jobs Report 2025 expects 170 million jobs created and 92 million displaced by 2030, a net gain of 78 million. LinkedIn’s Jobs on the Rise 2026 lists, published in January for eleven countries, put AI engineer at or near the top everywhere. The ILO’s Employment and Social Trends 2026 projects global unemployment at 4.9%, or 186 million people, while ManpowerGroup’s 2026 survey of 39,063 employers finds 72% still struggling to fill roles.

This guide is the global pillar of the Rising Professions 2026 hub. It combines the WEF, LinkedIn, US Bureau of Labor Statistics, Indeed, IEA, WHO and ISC2 data with the 21 country guides in this series into one cross-country “rising professions index”, explains the five engines behind it, and says what employers and career changers should do.

Key Takeaways

Which profession is rising everywhere?
AI or machine-learning engineer appears in all 18 country rankings compiled so far and is #1 on nine of LinkedIn’s eleven 2026 country lists.

Is this only an AI story?
No. Cybersecurity (15 of 18 guides), nursing (14), data engineering (13) and electricians (10) follow, driven by ageing, grid build-outs and regulation as much as by technology.

Which jobs add the most headcount?
Not the fastest by percentage. The WEF expects the largest gains among farmworkers (+35 million), delivery drivers, construction workers and nurses; the BLS expects US home health aides to add 847,300 jobs by 2035.

Which professions are rising fastest worldwide in 2026?

Across the 18 national rankings in this series, AI and machine-learning engineers appear in every one, followed by cybersecurity specialists, registered nurses, data engineers and electricians. The index below counts how many country guides place each profession in their top ten to twelve, and names its main engine.

Rank Profession Guides listing it Main engine Highest placements (LinkedIn 2026 unless stated)
1 AI / machine-learning engineer 18 of 18 AI & data #1 in US, UK, France, Spain, Singapore, Australia, Brazil
2 Cybersecurity specialist / CISO 15 of 18 Security & compliance #2 Türkiye (Kariyer.net 2026); #3 Saudi Arabia (Hays 2026)
3 Registered nurse 14 of 18 Ageing & care #2 US (BLS: nurse practitioners +41.0%); #2 Brazil
4 Data scientist / data engineer 13 of 18 AI & data #3 US (BLS +34.6%); #4 Türkiye
5 Electrician / power-systems engineer 10 of 18 Energy & infrastructure #2 Netherlands, #3 Canada; #4 US (BLS +75,900)
6 Head of AI / AI director 8 of 18 AI & data #1 Germany; #2 UK, France, Spain
7 Construction, commissioning and site manager 8 of 18 Infrastructure & trades #2 Japan (MHLW); #2 Saudi Arabia (BIM)
8 Compliance, risk, tax and reporting officer 8 of 18 Security & compliance #2 Australia (chief risk officer); #3 UAE (corporate tax)
9 Care worker / personal care aide 7 of 18 Ageing & care #1 Japan (MHLW: 3.76 openings per applicant); #3 Korea
10 Psychotherapist / psychologist 6 of 18 Ageing & care #5 Poland (Barometr 2026); #7 Netherlands
11 Semiconductor engineer 5 of 18 AI & data; industrial policy #2 South Korea (shortfall up to 81,000 by 2031); #3 Japan
12 Data-centre / cloud infrastructure engineer 5 of 18 AI & data #2 UAE (Stargate UAE); US (LinkedIn #17)

The index is a count, not a growth rate: it shows how widely a profession is rising, not how fast. The AI cluster fills four of the twelve rows, but half the index is not digital at all: nurses, carers, electricians and site managers rise because of demography, energy policy and construction pipelines that would exist without large language models.

It also hides the gap between percentage growth and headcount. LinkedIn measures the growth rate of titles started between January 2023 and July 2025, which favours new, small occupations; the WEF and BLS volume views favour large, old ones. Our guide to reading job-growth data explains how to combine the two.

What do the major global forecasts actually say?

The WEF ranks big-data, fintech and AI specialists fastest by percentage but farmworkers, delivery drivers and construction workers largest by volume; LinkedIn crowns AI engineer in nine of eleven countries; the BLS puts nurse practitioners first for 2025–35. They describe one labour market moving at two speeds.

Source Fastest by growth rate Largest by headcount Declining
WEF Future of Jobs 2025 (1,000+ employers) Big data specialists, fintech engineers, AI/ML specialists, software developers, security management specialists Farmworkers (+35 million), delivery drivers, construction workers, salespersons, nurses Clerical workers; postal clerks, bank tellers and data-entry clerks fall fastest
LinkedIn Jobs on the Rise 2026 (11 countries) AI engineer #1 in nine countries; Head of AI #1 in Germany; prompt engineer #1 in India Not measured Not measured
US BLS projections 2025–35 Nurse practitioners +41.0%, solar PV installers +36.5%, data scientists +34.6%, wind turbine technicians +29.5% Home health aides +847,300; health services managers +155,100; nurse practitioners +137,800; electricians +75,900 See the US guide
ILO Employment and Social Trends 2026 No occupation ranking Unemployment 4.9% (186 million); 2.1 billion informal workers Trade uncertainty and AI cloud job quality

For an employer, percentage lists show where pay will spike; volume lists show where pipelines and immigration plans need capacity.

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What are the five engines driving the rising professions?

Five forces explain almost every row in the index: AI and data, the energy transition, ageing and care, infrastructure and skilled trades, and security and compliance. Most countries are being pulled by at least three at once.

Engine 1: AI and data

The WEF finds 86% of employers expect AI to transform their business by 2030, and models it creating 11 million jobs while displacing 9 million. Indeed Hiring Lab shows 4.2% of US postings mentioning AI in December 2025, rising to 45% in data and analytics roles; in Germany, 59% of AI-labelled titles sit outside technology occupations.

PwC’s 2026 Global AI Jobs Barometer, built on over one billion job ads in 27 countries, finds AI-skilled jobs grew 69% against 9% for the market, with a 62% wage premium. National data agree: AI-agent postings up 455% in China (Zhaopin, spring 2026), AI postings up 128% in South Korea (JobKorea) and AI/ML ads up 111% in Poland (Pracuj.pl).

Engine 2: The energy transition

The IEA’s World Energy Employment 2025 counts 76 million energy jobs in 2024, up 2.2% in the year, nearly twice the pace of the wider economy. More than half of the 700 organisations surveyed report critical bottlenecks for electricians, pipefitters, line workers and plant operators, and qualified entrants must rise 40% to stop the gap widening by 2030.

Nationally, Australia needs 32,000 more electricians by 2030 (Jobs and Skills Australia), German wind jobs are up about 30% since 2023 (Bertelsmann Stiftung), the UK Clean Energy Jobs Plan targets 400,000 roles by 2030, India projects 4.4 million clean-energy jobs by 2030 (CEEW–NRDC) and the Dutch grid needs 30,000 technicians by 2030 (UWV).

Engine 3: Ageing and care

The WHO’s State of the World’s Nursing 2025 counts 29.8 million nurses in 2023 and a global shortage of 5.8 million that narrows only to 4.1 million by 2030. The WEF expects ageing populations to create 11 million jobs and displace 7 million.

Shortfalls are stark: Germany is missing an estimated 500,000 care workers by 2034 (Deutscher Pflegerat); Japan needs 2.40 million care workers in FY2026 against a workforce near 2.15 million (MHLW); China will need 52 million caregivers by 2035; South Korea faces a 110,000 long-term-care shortfall by 2028.

Engine 4: Infrastructure and skilled trades

Construction workers are among the WEF’s largest-volume gainers, and national pipelines explain why: Germany’s €500 billion infrastructure fund, Canada’s 306,200 construction hires needed by 2034 (BuildForce), eleven World Cup stadiums still to build in Saudi Arabia, 7.72 openings per applicant in Japanese structural trades (MHLW).

Data centres are the newest driver of the oldest trades: the BLS projects 75,900 more US electricians by 2035, and Indeed data in the Canadian guide show a premium of about CA$5 an hour for data-centre electrical work. Commissioning managers appear on LinkedIn lists in the US, France and Spain, while welders top the hardest-to-fill trades in Türkiye (İŞKUR).

Engine 5: Security and compliance

ISC2’s latest Cybersecurity Workforce Study estimates 5.5 million active professionals against a need of 10.2 million, a 4.8 million gap that grew 19% in a year. The WEF places security management specialists in its top five fastest-growing roles; the BLS projects information security analysts up 21.0% by 2035.

Regulation is the other half: NIS2 drives security hiring in Germany (LinkedIn #6), Poland and France. Chief risk officer is #2 in Australia, and the UAE’s federal corporate tax has made the tax manager a top-three finance hire (Robert Walters 2026). In Türkiye, cybersecurity pay rose 41.4%, the most of any scarce role (Kariyer.net 2026).

How does the picture differ by region?

Every region shares the AI cluster, but the second engine differs: care and clean energy in Europe and North America, data centres and construction in the Gulf, semiconductors and ageing in East Asia, agriculture, energy and finance in Latin America and Africa.

Region Country guides Dominant engines What makes it distinct (source)
North America United States, Canada AI & data; ageing & care; grid work Canada’s LinkedIn top three are AI engineer, AI consultant and power-systems engineer
Europe UK, Germany, France, Netherlands, Spain, Poland AI & data; compliance (NIS2, CSRD); ageing & care AI engineer and Head of AI top LinkedIn’s lists in all five large economies; Germany reports the highest talent shortage (83%, ManpowerGroup)
Middle East & Türkiye Türkiye, UAE, Saudi Arabia AI and data-centre build-out; infrastructure; tax and compliance Stargate UAE and Humain data centres; 74% of Saudi employers hiring more (Hays)
Asia-Pacific India, China, Japan, South Korea, Singapore, Australia AI & data; semiconductors; ageing & care Japan is the only guide where care workers rank #1; India’s LinkedIn list is led by prompt engineer
Latin America & Africa Brazil, Mexico, Nigeria, South Africa AI & data; care; energy and agriculture Brazil’s list pairs AI engineer with nursing technician and agricultural scientist

In high-income regions the care engine is about replacement; in India, Brazil, Nigeria and South Africa, growing working-age populations add jobs in education and sales as well. AI pay is uneven, from entry ranges near US$10,000 a year in India to US$154,500–196,750 starting salaries in the US (foundit 2026; Robert Half 2027), which is why the country-by-country salary comparison is a separate guide.

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Which professions are losing ground worldwide?

Clerical and secretarial work shrinks most in absolute terms, and postal clerks, bank tellers and data-entry clerks decline fastest, according to the WEF. Junior roles in AI-exposed fields are being redefined rather than removed.

The WEF expects cashiers, administrative assistants, printing workers and accounting clerks to lose headcount by 2030, with robotics the largest net displacer at minus 5 million jobs. About 40% of employers plan to cut staff where AI automates tasks, but 50% plan to redeploy people and 85% to prioritise upskilling.

The subtler shift is at the entry level. PwC finds entry-level openings in the most AI-exposed roles grew 35% since 2019 while others fell 10%, and those junior roles are seven times more likely to demand senior-level skills. The ladder remains, but its bottom rungs have moved.

Pro Tip: Before approving a new AI job title, map it to an existing job family and grade. LinkedIn’s 2026 data show the typical AI engineer has 3.7 years of experience; many “Head of AI” requests are a senior data lead with governance duties. Benchmark against grades you already pay, then add a documented, time-limited scarcity premium.

How should employers hire for scarce rising roles across countries?

Benchmark pay against 2026 national guides, hire for skills rather than titles, redeploy from declining roles, build apprenticeship pipelines for trades and care, and use each country’s shortage-occupation visa route.

  1. Benchmark locally. Use the national guides named in each country report and refresh twice a year; AI and cyber ranges moved by double digits in several markets.
  2. Hire for skills and tools. LinkedIn reports eight in ten leaders would rather hire a candidate comfortable with AI tools than a more experienced one who is not. See the guide to the skills behind the rising jobs.
  3. Redeploy before you recruit. Half of WEF respondents plan to move staff from declining to growing roles.
  4. Build pipelines for trades and care. Providers are listed in the kurums Courses & Certifications directory and MBA & Business Education directory, and compared in which certifications lead to the rising jobs.
  5. Use the visa route built for the role. Most rising professions sit on official lists: the UK Skilled Worker route, Australia’s Core Skills Occupation List, Canada’s category-based Express Entry draws (11,500 healthcare and 6,500 trades invitations in 2026) and Germany’s shortage list of 157 occupations.
  6. Use an employer of record where you have no entity for a single hire in Poland or the UAE.
  7. Treat employer brand as a scarcity tool. LinkedIn found 52% of professionals in 14 countries plan to job-hunt in 2026.
WORLDWIDE · RISING PROFESSIONS 2026AI / ML engineer18 of 18Cybersecurity specialist15 of 18Registered nurse14 of 18Data scientist / engineer13 of 18Electrician / power systems10 of 18Head of AI / AI director8 of 18Source: kurums index of 18 country rankings (LinkedIn 2026, BLS 2025-35, national agencies). kurums.com
Number of country guides (of 18) whose ranking includes each profession. Bars are proportional to the count, not to growth rates; teal marks digital and security roles, amber marks care and energy roles.
Risk: Growth-rate lists measure a small base: a title that ranks #1 because it went from a few hundred to a few thousand holders can drop off next year’s list without a job being lost. Employers who set pay bands on one year’s ranking risk overpaying for hype roles and under-investing in care, trade and grid pipelines that take five years to build.

What should job seekers and career changers do in 2026?

Pick a profession that appears in several country rankings, combine a credential with a domain, and choose between the fast-growth AI track and the high-volume care, energy and trades track on the basis of your horizon and willingness to relocate.

  1. Check breadth before speed. A role listed in 13 or more guides is portable across borders; one listed in two is a local bet.
  2. Separate the two tracks honestly. The AI track pays most, but its entry roles now demand near-senior skills (PwC). The care, energy and trades track starts lower but has documented shortages.
  3. Stack a domain on a technical credential. LinkedIn’s rising roles include healthcare reimbursement specialists and energy analysts, both rewarding domain knowledge applied to a data tool set.
  4. Choose credentials recognised in more than one country. Cloud and security certifications, nursing registration, GWO for wind and recognised electrical licences travel; a one-off bootcamp certificate often does not. Compare options in the certifications and courses guide.
  5. Follow the shortage lists. If your target country lists your occupation, visa processing and sponsorship work in your favour.
  6. Re-check annually. Lists change; the five engines do not.

Frequently Asked Questions

Is AI engineer really the fastest-growing job in the world?

On LinkedIn’s 2026 growth-rate method, yes: #1 in nine of eleven countries, #2 in Germany and India. On the WEF survey, AI specialists are top three by percentage but far down by volume, where farmworkers and construction workers lead.

How many jobs will AI create or destroy by 2030?

The WEF models AI and information processing creating 11 million jobs and displacing 9 million by 2030, within 170 million created and 92 million displaced across all trends.

Which rising professions do not require a university degree?

Electricians, wind and solar technicians, welders, care workers, data annotators and data-centre technicians all appear on 2026 lists and are entered through apprenticeships, vocational certificates or short licensed programmes.

Which countries have a LinkedIn Jobs on the Rise 2026 list?

The United States, Canada, the United Kingdom, Germany, France, Spain, the Netherlands, Italy, India, Singapore, Australia and Brazil. There are none for Türkiye, the UAE, Saudi Arabia, China, Japan, South Korea or Poland, so those guides rely on national statistics and job-board data.

Sources and method

  1. Future of Jobs Report 2025, chapter 2: Jobs outlook — World Economic Forum, 2025
  2. Employment and Social Trends 2026 (press release) — International Labour Organization, January 2026
  3. Fastest growing occupations, 2025–35 — US Bureau of Labor Statistics, August 2026
  4. LinkedIn Jobs on the Rise 2026: US — LinkedIn News, January 2026
  5. LinkedIn reveals 25 fastest-growing jobs for 2026 — Allwork.Space, January 2026
  6. AI engineer tops LinkedIn’s 2026 Jobs on the Rise list (Australia) — HR Leader, January 2026
  7. Half of Europeans seek a new job in 2026 (LinkedIn Europe lists) — Euronews via Yahoo News, 2026
  8. Jobs mentioning AI are growing (January 2026 update) — Indeed Hiring Lab, January 2026
  9. The majority of AI jobs now sit outside tech occupations in Europe (Indeed) — Euronews, July 2026
  10. PwC 2026 Global AI Jobs Barometer (press release) — PwC, June 2026
  11. 2026 Global Talent Shortage Survey — ManpowerGroup, February 2026
  12. World Energy Employment 2025 — International Energy Agency, 2025
  13. Global nurse shortage to shrink by 2030 (WHO State of the World’s Nursing 2025) — Becker’s Hospital Review, May 2025
  14. Cybersecurity talent gap hits record high (ISC2 study) — SightsIn Plus, November 2025

Method: the index counts how many of the 18 country rankings finalised by early November 2026 (Mexico, Nigeria and South Africa followed later) include each profession; rankings use LinkedIn Jobs on the Rise 2026 where an edition exists, otherwise national data named in each guide. Figures checked November 2026.

Last Updated: November 2026 · Reviewed by the Kurums HR editorial team. Growth figures and pay ranges are as reported by the cited sources on the date checked; this guide is general information, not career, legal or immigration advice.

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