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The best jobs in the world
22 jobs, scored on 14 conditions, based on the WEF Future of Jobs Report 2025 (the fastest growth and the most new jobs until 2030) and the 2025 ManpowerGroup talent shortage survey.
Questions the analysis answers
- Which jobs are growing fastest worldwide until 2030?
- Which jobs create the most new positions?
- Which combine good earnings with resistance to AI?
The ranking
22 positions scored on 14 conditions adapted to this topic. The scores are judgement based on the cited sources, with a rationale for each position. Conditions that cannot be assessed yet get 5 (neutral) in the score and do not count as met. The scores are frozen in the snapshot of 3 November 2026 (fingerprint in the .sha256 file).
Extended to 22 entries on 5 November 2026: the first 11 keep the same scores, and 11 new entries were added, with sources. The previous snapshot stays published: social-meserii-lume-2026-11-03.json.
| # | Name | Conditions | Score | Substance / form |
|---|---|---|---|---|
| 1 | Information security specialist | 12/14 | 7.80 | Substance without form |
| 2 | Renewable energy engineer | 12/14 | 7.38 | Substance without form |
| 3 | Environmental engineer | 11/14 | 7.20 | Substance without form |
| 4 | Internet of Things specialist | 11/14 | 7.16 | Substance without form |
| 5 | Autonomous and electric vehicle specialist | 11/14 | 7.12 | Substance without form |
| 6 | Personal care aide | 10/14 | 7.16 | Substance being confirmed |
| 7 | Nurse | 9/14 | 7.44 | Substance being confirmed |
| 8 | FinTech engineer | 9/14 | 7.28 | Substance confirmed |
| 9 | Data analyst and scientist | 9/14 | 7.04 | Substance confirmed |
| 10 | Project manager | 9/14 | 7.04 | Substance without form |
| 11 | Construction worker | 9/14 | 6.68 | Substance being confirmed |
| 12 | AI and machine learning specialist | 8/14 | 7.18 | Substance confirmed |
| 13 | Teacher (secondary and higher education) | 8/14 | 6.94 | Substance being confirmed |
| 14 | Big data specialist | 7/14 | 7.20 | Substance confirmed |
| 15 | DevOps and cloud engineer | 7/14 | 7.04 | Substance without form |
| 16 | Social worker and counsellor | 7/14 | 6.56 | Substance being confirmed |
| 17 | UI and UX designer | 7/14 | 6.54 | Substance confirmed |
| 18 | Food processing worker | 6/14 | 5.84 | Substance being confirmed |
| 19 | Farmworker | 6/14 | 5.62 | Substance being confirmed |
| 20 | Delivery driver | 6/14 | 5.50 | Substance being confirmed |
| 21 | Salesperson | 5/14 | 5.70 | Substance being confirmed |
| 22 | Software developer | 4/14 | 6.10 | Substance confirmed |
Each position, condition by condition
Information security specialist · 12/14 · score 7.80 · Substance without form
Security specialists are among the fastest-growing jobs in the WEF report. Stable demand in every country and every industry, including the public sector.
| # | Condition | Score | In plain words |
|---|---|---|---|
| C1 | Earnings | 9 | Earnings far above the national average. |
| C2 | Employer demand | 9 | Very high demand: employers cannot find people. |
| C3 | Future growth | 9 | Demand will grow strongly until 2030. |
| C4 | Resistance to AI | 8 | Hard for AI or robots to replace. |
| C5 | Training time | 5 | Average training. |
| C6 | Working conditions | 7 | Good conditions. |
| C7 | Stability | 9 | Very stable. |
| C8 | International mobility | 10 | In demand and recognised in many countries. |
| C9 | Social usefulness | 8 | Essential to others. |
| C10 | Ease of entry | 5 | Quite hard. |
| C11 | Media (non-linear) | 7 | Balanced attention. |
| C12 | Pay trend | 8 | Wages are rising fast. |
| C13 | Crowding (inverse) | 7 | Few candidates. |
| C14 | Risks | 7 | Low risks. |
Sources: World Economic Forum: Future of Jobs Report 2025, the jobs of the future; World Economic Forum: Future of Jobs 2025, the jobs outlook chapter; ManpowerGroup: the global talent shortage, 2025 (about 40,000 employers)
Renewable energy engineer · 12/14 · score 7.38 · Substance without form
Among the 15 fastest-growing jobs in the WEF report, alongside environmental engineers; the energy transition creates demand on every continent.
| # | Condition | Score | In plain words |
|---|---|---|---|
| C1 | Earnings | 8 | Earnings far above the national average. |
| C2 | Employer demand | 8 | Very high demand: employers cannot find people. |
| C3 | Future growth | 9 | Demand will grow strongly until 2030. |
| C4 | Resistance to AI | 8 | Hard for AI or robots to replace. |
| C5 | Training time | 4 | Very long training. |
| C6 | Working conditions | 7 | Good conditions. |
| C7 | Stability | 7 | Very stable. |
| C8 | International mobility | 9 | In demand and recognised in many countries. |
| C9 | Social usefulness | 8 | Essential to others. |
| C10 | Ease of entry | 5 | Quite hard. |
| C11 | Media (non-linear) | 8 | Balanced attention. |
| C12 | Pay trend | 7 | Wages are rising fast. |
| C13 | Crowding (inverse) | 8 | Few candidates. |
| C14 | Risks | 7 | Low risks. |
Sources: World Economic Forum: Future of Jobs Report 2025, the jobs of the future; World Economic Forum: Future of Jobs 2025, the jobs outlook chapter; ManpowerGroup: the global talent shortage, 2025 (about 40,000 employers)
Environmental engineer · 11/14 · score 7.20 · Substance without form
Among the top 15 fastest-growing jobs in the WEF report, alongside renewable energy engineers. Environmental regulation keeps demand stable.
| # | Condition | Score | In plain words |
|---|---|---|---|
| C1 | Earnings | 7 | Earnings far above the national average. |
| C2 | Employer demand | 7 | Very high demand: employers cannot find people. |
| C3 | Future growth | 9 | Demand will grow strongly until 2030. |
| C4 | Resistance to AI | 8 | Hard for AI or robots to replace. |
| C5 | Training time | 4 | Very long training. |
| C6 | Working conditions | 7 | Good conditions. |
| C7 | Stability | 8 | Very stable. |
| C8 | International mobility | 8 | In demand and recognised in many countries. |
| C9 | Social usefulness | 9 | Essential to others. |
| C10 | Ease of entry | 6 | Quite hard. |
| C11 | Media (non-linear) | 7 | Balanced attention. |
| C12 | Pay trend | 6 | Wages are rising moderately. |
| C13 | Crowding (inverse) | 8 | Few candidates. |
| C14 | Risks | 7 | Low risks. |
Sources: World Economic Forum: Future of Jobs 2025, the jobs outlook chapter
Internet of Things specialist · 11/14 · score 7.16 · Substance without form
Tenth among the fastest-growing jobs in the WEF report: sensors, factories and connected cities. It combines electronics with software, a rare combination on the market.
| # | Condition | Score | In plain words |
|---|---|---|---|
| C1 | Earnings | 8 | Earnings far above the national average. |
| C2 | Employer demand | 8 | Very high demand: employers cannot find people. |
| C3 | Future growth | 9 | Demand will grow strongly until 2030. |
| C4 | Resistance to AI | 7 | Hard for AI or robots to replace. |
| C5 | Training time | 5 | Average training. |
| C6 | Working conditions | 7 | Good conditions. |
| C7 | Stability | 7 | Very stable. |
| C8 | International mobility | 9 | In demand and recognised in many countries. |
| C9 | Social usefulness | 7 | Essential to others. |
| C10 | Ease of entry | 6 | Quite hard. |
| C11 | Media (non-linear) | 7 | Balanced attention. |
| C12 | Pay trend | 7 | Wages are rising fast. |
| C13 | Crowding (inverse) | 7 | Few candidates. |
| C14 | Risks | 6 | A few risks. |
Sources: World Economic Forum: Future of Jobs 2025, the jobs outlook chapter; EU Digital Skills Platform: the 10 fastest-growing jobs to 2030 (WEF)
Autonomous and electric vehicle specialist · 11/14 · score 7.12 · Substance without form
Seventh among the fastest-growing jobs in the WEF report, thanks to the shift to electric and autonomous cars. Demand depends on the pace of investment in the car industry.
| # | Condition | Score | In plain words |
|---|---|---|---|
| C1 | Earnings | 8 | Earnings far above the national average. |
| C2 | Employer demand | 8 | Very high demand: employers cannot find people. |
| C3 | Future growth | 9 | Demand will grow strongly until 2030. |
| C4 | Resistance to AI | 8 | Hard for AI or robots to replace. |
| C5 | Training time | 4 | Very long training. |
| C6 | Working conditions | 7 | Good conditions. |
| C7 | Stability | 7 | Very stable. |
| C8 | International mobility | 9 | In demand and recognised in many countries. |
| C9 | Social usefulness | 7 | Essential to others. |
| C10 | Ease of entry | 5 | Quite hard. |
| C11 | Media (non-linear) | 7 | Balanced attention. |
| C12 | Pay trend | 7 | Wages are rising fast. |
| C13 | Crowding (inverse) | 7 | Few candidates. |
| C14 | Risks | 6 | A few risks. |
Sources: World Economic Forum: Future of Jobs 2025, the jobs outlook chapter; EU Digital Skills Platform: the 10 fastest-growing jobs to 2030 (WEF)
Personal care aide · 10/14 · score 7.16 · Substance being confirmed
Among the care jobs with the largest absolute growth in the WEF report; ageing populations raise demand everywhere. Modestly paid and physically and emotionally hard.
| # | Condition | Score | In plain words |
|---|---|---|---|
| C1 | Earnings | 3 | Earnings below the national average. |
| C2 | Employer demand | 10 | Very high demand: employers cannot find people. |
| C3 | Future growth | 9 | Demand will grow strongly until 2030. |
| C4 | Resistance to AI | 10 | Hard for AI or robots to replace. |
| C5 | Training time | 9 | Short training. |
| C6 | Working conditions | 4 | Hard conditions. |
| C7 | Stability | 8 | Very stable. |
| C8 | International mobility | 8 | In demand and recognised in many countries. |
| C9 | Social usefulness | 10 | Essential to others. |
| C10 | Ease of entry | 9 | Easy to get into. |
| C11 | Media (non-linear) | 8 | Balanced attention. |
| C12 | Pay trend | 6 | Wages are rising moderately. |
| C13 | Crowding (inverse) | 9 | Few candidates. |
| C14 | Risks | 5 | A few risks. |
Sources: World Economic Forum: Future of Jobs 2025, the jobs outlook chapter
Nurse · 9/14 · score 7.44 · Substance being confirmed
Among the jobs with the largest absolute growth until 2030, according to the WEF; healthcare is the sector with the biggest staff shortage in the world (77% of employers), according to ManpowerGroup. The work is hard, with shifts and stress.
| # | Condition | Score | In plain words |
|---|---|---|---|
| C1 | Earnings | 6 | Earnings close to the average. |
| C2 | Employer demand | 10 | Very high demand: employers cannot find people. |
| C3 | Future growth | 9 | Demand will grow strongly until 2030. |
| C4 | Resistance to AI | 10 | Hard for AI or robots to replace. |
| C5 | Training time | 5 | Average training. |
| C6 | Working conditions | 4 | Hard conditions. |
| C7 | Stability | 10 | Very stable. |
| C8 | International mobility | 8 | In demand and recognised in many countries. |
| C9 | Social usefulness | 10 | Essential to others. |
| C10 | Ease of entry | 6 | Quite hard. |
| C11 | Media (non-linear) | 8 | Balanced attention. |
| C12 | Pay trend | 7 | Wages are rising fast. |
| C13 | Crowding (inverse) | 9 | Few candidates. |
| C14 | Risks | 5 | A few risks. |
Sources: World Economic Forum: Future of Jobs Report 2025, the jobs of the future; World Economic Forum: Future of Jobs 2025, the jobs outlook chapter; ManpowerGroup: the global talent shortage, 2025 (about 40,000 employers)
FinTech engineer · 9/14 · score 7.28 · Substance confirmed
The second fastest-growing job to 2030, after big data specialists, according to the WEF. It combines programming with finance and regulation; it is exposed to cycles in the financial sector.
| # | Condition | Score | In plain words |
|---|---|---|---|
| C1 | Earnings | 9 | Earnings far above the national average. |
| C2 | Employer demand | 9 | Very high demand: employers cannot find people. |
| C3 | Future growth | 10 | Demand will grow strongly until 2030. |
| C4 | Resistance to AI | 7 | Hard for AI or robots to replace. |
| C5 | Training time | 5 | Average training. |
| C6 | Working conditions | 8 | Good conditions. |
| C7 | Stability | 7 | Very stable. |
| C8 | International mobility | 9 | In demand and recognised in many countries. |
| C9 | Social usefulness | 7 | Essential to others. |
| C10 | Ease of entry | 5 | Quite hard. |
| C11 | Media (non-linear) | 5 | Moderate attention. |
| C12 | Pay trend | 8 | Wages are rising fast. |
| C13 | Crowding (inverse) | 5 | Moderate competition. |
| C14 | Risks | 6 | A few risks. |
Sources: World Economic Forum: Future of Jobs 2025, the jobs outlook chapter; EU Digital Skills Platform: the 10 fastest-growing jobs to 2030 (WEF)
Data analyst and scientist · 9/14 · score 7.04 · Substance confirmed
Among the top 15 fastest-growing jobs in the WEF report. Demand in every industry; but routine analysis is increasingly automated, so the value comes from understanding the business.
| # | Condition | Score | In plain words |
|---|---|---|---|
| C1 | Earnings | 8 | Earnings far above the national average. |
| C2 | Employer demand | 8 | Very high demand: employers cannot find people. |
| C3 | Future growth | 9 | Demand will grow strongly until 2030. |
| C4 | Resistance to AI | 6 | Partly automatable. |
| C5 | Training time | 5 | Average training. |
| C6 | Working conditions | 8 | Good conditions. |
| C7 | Stability | 7 | Very stable. |
| C8 | International mobility | 10 | In demand and recognised in many countries. |
| C9 | Social usefulness | 7 | Essential to others. |
| C10 | Ease of entry | 6 | Quite hard. |
| C11 | Media (non-linear) | 5 | Moderate attention. |
| C12 | Pay trend | 7 | Wages are rising fast. |
| C13 | Crowding (inverse) | 5 | Moderate competition. |
| C14 | Risks | 7 | Low risks. |
Sources: World Economic Forum: Future of Jobs 2025, the jobs outlook chapter
Project manager · 9/14 · score 7.04 · Substance without form
Among the jobs with the largest absolute growth to 2030, according to the WEF. International certifications (PMP, PRINCE2) are recognised everywhere, but the role needs years of experience.
| # | Condition | Score | In plain words |
|---|---|---|---|
| C1 | Earnings | 8 | Earnings far above the national average. |
| C2 | Employer demand | 8 | Very high demand: employers cannot find people. |
| C3 | Future growth | 8 | Demand will grow strongly until 2030. |
| C4 | Resistance to AI | 7 | Hard for AI or robots to replace. |
| C5 | Training time | 6 | Average training. |
| C6 | Working conditions | 6 | Acceptable conditions. |
| C7 | Stability | 7 | Very stable. |
| C8 | International mobility | 9 | In demand and recognised in many countries. |
| C9 | Social usefulness | 7 | Essential to others. |
| C10 | Ease of entry | 6 | Quite hard. |
| C11 | Media (non-linear) | 7 | Balanced attention. |
| C12 | Pay trend | 6 | Wages are rising moderately. |
| C13 | Crowding (inverse) | 6 | Moderate competition. |
| C14 | Risks | 7 | Low risks. |
Sources: World Economic Forum: Future of Jobs 2025, the jobs outlook chapter
Construction worker · 9/14 · score 6.68 · Substance being confirmed
Among the jobs with the largest absolute growth until 2030, according to the WEF. Short training and high demand everywhere, but the work is hard and accident-prone.
| # | Condition | Score | In plain words |
|---|---|---|---|
| C1 | Earnings | 5 | Earnings close to the average. |
| C2 | Employer demand | 9 | Very high demand: employers cannot find people. |
| C3 | Future growth | 9 | Demand will grow strongly until 2030. |
| C4 | Resistance to AI | 8 | Hard for AI or robots to replace. |
| C5 | Training time | 9 | Short training. |
| C6 | Working conditions | 3 | Hard conditions. |
| C7 | Stability | 6 | Average stability. |
| C8 | International mobility | 8 | In demand and recognised in many countries. |
| C9 | Social usefulness | 8 | Essential to others. |
| C10 | Ease of entry | 9 | Easy to get into. |
| C11 | Media (non-linear) | 8 | Balanced attention. |
| C12 | Pay trend | 6 | Wages are rising moderately. |
| C13 | Crowding (inverse) | 8 | Few candidates. |
| C14 | Risks | 3 | High risks. |
Sources: World Economic Forum: Future of Jobs Report 2025, the jobs of the future; World Economic Forum: Future of Jobs 2025, the jobs outlook chapter; ManpowerGroup: the global talent shortage, 2025 (about 40,000 employers)
AI and machine learning specialist · 8/14 · score 7.18 · Substance confirmed
Among the three fastest-growing jobs until 2030, according to the WEF; very high pay and demand worldwide. The job is fashionable, and training is long and hard.
| # | Condition | Score | In plain words |
|---|---|---|---|
| C1 | Earnings | 10 | Earnings far above the national average. |
| C2 | Employer demand | 9 | Very high demand: employers cannot find people. |
| C3 | Future growth | 10 | Demand will grow strongly until 2030. |
| C4 | Resistance to AI | 7 | Hard for AI or robots to replace. |
| C5 | Training time | 4 | Very long training. |
| C6 | Working conditions | 9 | Good conditions. |
| C7 | Stability | 6 | Average stability. |
| C8 | International mobility | 10 | In demand and recognised in many countries. |
| C9 | Social usefulness | 7 | Essential to others. |
| C10 | Ease of entry | 3 | Very hard to get into. |
| C11 | Media (non-linear) | 3 | A fashionable job: many choose it. |
| C12 | Pay trend | 9 | Wages are rising fast. |
| C13 | Crowding (inverse) | 4 | Very many candidates. |
| C14 | Risks | 6 | A few risks. |
Sources: World Economic Forum: Future of Jobs Report 2025, the jobs of the future; World Economic Forum: Future of Jobs 2025, the jobs outlook chapter; ManpowerGroup: the global talent shortage, 2025 (about 40,000 employers)
Teacher (secondary and higher education) · 8/14 · score 6.94 · Substance being confirmed
Secondary and higher education teachers are among the jobs with the largest absolute growth in the WEF report. High stability, but pay varies greatly from one country to another.
| # | Condition | Score | In plain words |
|---|---|---|---|
| C1 | Earnings | 5 | Earnings close to the average. |
| C2 | Employer demand | 8 | Very high demand: employers cannot find people. |
| C3 | Future growth | 8 | Demand will grow strongly until 2030. |
| C4 | Resistance to AI | 9 | Hard for AI or robots to replace. |
| C5 | Training time | 4 | Very long training. |
| C6 | Working conditions | 6 | Acceptable conditions. |
| C7 | Stability | 9 | Very stable. |
| C8 | International mobility | 6 | Partly recognised. |
| C9 | Social usefulness | 10 | Essential to others. |
| C10 | Ease of entry | 6 | Quite hard. |
| C11 | Media (non-linear) | 8 | Balanced attention. |
| C12 | Pay trend | 5 | Wages are rising moderately. |
| C13 | Crowding (inverse) | 8 | Few candidates. |
| C14 | Risks | 7 | Low risks. |
Sources: World Economic Forum: Future of Jobs Report 2025, the jobs of the future; World Economic Forum: Future of Jobs 2025, the jobs outlook chapter; ManpowerGroup: the global talent shortage, 2025 (about 40,000 employers)
Big data specialist · 7/14 · score 7.20 · Substance confirmed
The fastest-growing job until 2030 in the WEF report; data and IT are the skills employers find hardest to find, according to ManpowerGroup.
| # | Condition | Score | In plain words |
|---|---|---|---|
| C1 | Earnings | 9 | Earnings far above the national average. |
| C2 | Employer demand | 8 | Very high demand: employers cannot find people. |
| C3 | Future growth | 10 | Demand will grow strongly until 2030. |
| C4 | Resistance to AI | 6 | Partly automatable. |
| C5 | Training time | 5 | Average training. |
| C6 | Working conditions | 9 | Good conditions. |
| C7 | Stability | 6 | Average stability. |
| C8 | International mobility | 10 | In demand and recognised in many countries. |
| C9 | Social usefulness | 6 | Average social impact. |
| C10 | Ease of entry | 5 | Quite hard. |
| C11 | Media (non-linear) | 5 | Moderate attention. |
| C12 | Pay trend | 8 | Wages are rising fast. |
| C13 | Crowding (inverse) | 5 | Moderate competition. |
| C14 | Risks | 7 | Low risks. |
Sources: World Economic Forum: Future of Jobs Report 2025, the jobs of the future; World Economic Forum: Future of Jobs 2025, the jobs outlook chapter; ManpowerGroup: the global talent shortage, 2025 (about 40,000 employers)
DevOps and cloud engineer · 7/14 · score 7.04 · Substance without form
Fourteenth among the fastest-growing jobs in the WEF report. High pay and remote work; on-call duty for incidents makes the schedule demanding.
| # | Condition | Score | In plain words |
|---|---|---|---|
| C1 | Earnings | 9 | Earnings far above the national average. |
| C2 | Employer demand | 8 | Very high demand: employers cannot find people. |
| C3 | Future growth | 9 | Demand will grow strongly until 2030. |
| C4 | Resistance to AI | 6 | Partly automatable. |
| C5 | Training time | 5 | Average training. |
| C6 | Working conditions | 6 | Acceptable conditions. |
| C7 | Stability | 7 | Very stable. |
| C8 | International mobility | 10 | In demand and recognised in many countries. |
| C9 | Social usefulness | 6 | Average social impact. |
| C10 | Ease of entry | 5 | Quite hard. |
| C11 | Media (non-linear) | 6 | Moderate attention. |
| C12 | Pay trend | 7 | Wages are rising fast. |
| C13 | Crowding (inverse) | 6 | Moderate competition. |
| C14 | Risks | 7 | Low risks. |
Sources: World Economic Forum: Future of Jobs 2025, the jobs outlook chapter
Social worker and counsellor · 7/14 · score 6.56 · Substance being confirmed
Among the care jobs with strong growth in the WEF report. Very hard for AI to replace and essential to others, but modestly paid in most countries.
| # | Condition | Score | In plain words |
|---|---|---|---|
| C1 | Earnings | 4 | Earnings below the national average. |
| C2 | Employer demand | 8 | Very high demand: employers cannot find people. |
| C3 | Future growth | 8 | Demand will grow strongly until 2030. |
| C4 | Resistance to AI | 9 | Hard for AI or robots to replace. |
| C5 | Training time | 5 | Average training. |
| C6 | Working conditions | 5 | Acceptable conditions. |
| C7 | Stability | 8 | Very stable. |
| C8 | International mobility | 5 | Partly recognised. |
| C9 | Social usefulness | 10 | Essential to others. |
| C10 | Ease of entry | 6 | Quite hard. |
| C11 | Media (non-linear) | 8 | Balanced attention. |
| C12 | Pay trend | 5 | Wages are rising moderately. |
| C13 | Crowding (inverse) | 8 | Few candidates. |
| C14 | Risks | 6 | A few risks. |
Sources: World Economic Forum: Future of Jobs Report 2025, the jobs of the future; World Economic Forum: Future of Jobs 2025, the jobs outlook chapter; ManpowerGroup: the global talent shortage, 2025 (about 40,000 employers)
UI and UX designer · 7/14 · score 6.54 · Substance confirmed
Eighth among the fastest-growing jobs in the WEF report. Relatively short training and remote work, but AI tools are taking over part of the basic work, and competition at entry level is high.
| # | Condition | Score | In plain words |
|---|---|---|---|
| C1 | Earnings | 7 | Earnings far above the national average. |
| C2 | Employer demand | 7 | Very high demand: employers cannot find people. |
| C3 | Future growth | 9 | Demand will grow strongly until 2030. |
| C4 | Resistance to AI | 5 | Partly automatable. |
| C5 | Training time | 7 | Short training. |
| C6 | Working conditions | 8 | Good conditions. |
| C7 | Stability | 6 | Average stability. |
| C8 | International mobility | 9 | In demand and recognised in many countries. |
| C9 | Social usefulness | 6 | Average social impact. |
| C10 | Ease of entry | 7 | Easy to get into. |
| C11 | Media (non-linear) | 5 | Moderate attention. |
| C12 | Pay trend | 6 | Wages are rising moderately. |
| C13 | Crowding (inverse) | 4 | Very many candidates. |
| C14 | Risks | 6 | A few risks. |
Sources: World Economic Forum: Future of Jobs 2025, the jobs outlook chapter; EU Digital Skills Platform: the 10 fastest-growing jobs to 2030 (WEF)
Food processing worker · 6/14 · score 5.84 · Substance being confirmed
Among the jobs with the largest absolute growth in the WEF report, as demand for food rises. Shift work, modestly paid and partly automatable.
| # | Condition | Score | In plain words |
|---|---|---|---|
| C1 | Earnings | 3 | Earnings below the national average. |
| C2 | Employer demand | 8 | Very high demand: employers cannot find people. |
| C3 | Future growth | 8 | Demand will grow strongly until 2030. |
| C4 | Resistance to AI | 5 | Partly automatable. |
| C5 | Training time | 9 | Short training. |
| C6 | Working conditions | 4 | Hard conditions. |
| C7 | Stability | 6 | Average stability. |
| C8 | International mobility | 6 | Partly recognised. |
| C9 | Social usefulness | 8 | Essential to others. |
| C10 | Ease of entry | 9 | Easy to get into. |
| C11 | Media (non-linear) | 8 | Balanced attention. |
| C12 | Pay trend | 4 | Wages are stagnating. |
| C13 | Crowding (inverse) | 6 | Moderate competition. |
| C14 | Risks | 4 | High risks. |
Sources: World Economic Forum: Future of Jobs 2025, the jobs outlook chapter
Farmworker · 6/14 · score 5.62 · Substance being confirmed
The job with the largest growth in absolute numbers until 2030: about 35 million new jobs, according to the WEF. Essential, but with the lowest earnings on the list and hard conditions.
| # | Condition | Score | In plain words |
|---|---|---|---|
| C1 | Earnings | 2 | Earnings below the national average. |
| C2 | Employer demand | 7 | Very high demand: employers cannot find people. |
| C3 | Future growth | 10 | Demand will grow strongly until 2030. |
| C4 | Resistance to AI | 5 | Partly automatable. |
| C5 | Training time | 10 | Short training. |
| C6 | Working conditions | 3 | Hard conditions. |
| C7 | Stability | 5 | Average stability. |
| C8 | International mobility | 6 | Partly recognised. |
| C9 | Social usefulness | 9 | Essential to others. |
| C10 | Ease of entry | 10 | Easy to get into. |
| C11 | Media (non-linear) | 8 | Balanced attention. |
| C12 | Pay trend | 3 | Wages are stagnating. |
| C13 | Crowding (inverse) | 6 | Moderate competition. |
| C14 | Risks | 3 | High risks. |
Sources: World Economic Forum: Future of Jobs Report 2025, the jobs of the future; World Economic Forum: Future of Jobs 2025, the jobs outlook chapter; ManpowerGroup: the global talent shortage, 2025 (about 40,000 employers)
Delivery driver · 6/14 · score 5.50 · Substance being confirmed
The second job by number of new places until 2030, according to the WEF, thanks to online shopping. Easy to get into, but low earnings, much self-employed work and the long-term risk of autonomous vehicles.
| # | Condition | Score | In plain words |
|---|---|---|---|
| C1 | Earnings | 3 | Earnings below the national average. |
| C2 | Employer demand | 8 | Very high demand: employers cannot find people. |
| C3 | Future growth | 9 | Demand will grow strongly until 2030. |
| C4 | Resistance to AI | 3 | Easy to automate. |
| C5 | Training time | 10 | Short training. |
| C6 | Working conditions | 4 | Hard conditions. |
| C7 | Stability | 4 | Unstable. |
| C8 | International mobility | 7 | In demand and recognised in many countries. |
| C9 | Social usefulness | 6 | Average social impact. |
| C10 | Ease of entry | 10 | Easy to get into. |
| C11 | Media (non-linear) | 8 | Balanced attention. |
| C12 | Pay trend | 4 | Wages are stagnating. |
| C13 | Crowding (inverse) | 4 | Very many candidates. |
| C14 | Risks | 4 | High risks. |
Sources: World Economic Forum: Future of Jobs Report 2025, the jobs of the future; World Economic Forum: Future of Jobs 2025, the jobs outlook chapter; ManpowerGroup: the global talent shortage, 2025 (about 40,000 employers)
Salesperson · 5/14 · score 5.70 · Substance being confirmed
Among the top five jobs by number of new positions to 2030, according to the WEF. Easy to enter, but low pay and exposure to automation in retail.
| # | Condition | Score | In plain words |
|---|---|---|---|
| C1 | Earnings | 4 | Earnings below the national average. |
| C2 | Employer demand | 8 | Very high demand: employers cannot find people. |
| C3 | Future growth | 7 | Demand will grow strongly until 2030. |
| C4 | Resistance to AI | 4 | Easy to automate. |
| C5 | Training time | 10 | Short training. |
| C6 | Working conditions | 5 | Acceptable conditions. |
| C7 | Stability | 5 | Average stability. |
| C8 | International mobility | 6 | Partly recognised. |
| C9 | Social usefulness | 5 | Average social impact. |
| C10 | Ease of entry | 10 | Easy to get into. |
| C11 | Media (non-linear) | 8 | Balanced attention. |
| C12 | Pay trend | 4 | Wages are stagnating. |
| C13 | Crowding (inverse) | 3 | Very many candidates. |
| C14 | Risks | 5 | A few risks. |
Sources: World Economic Forum: Future of Jobs 2025, the jobs outlook chapter
Software developer · 4/14 · score 6.10 · Substance confirmed
Among the jobs with the largest growth until 2030, in absolute numbers, according to the WEF. But AI is taking over part of the basic work, and entry-level posts are increasingly contested.
| # | Condition | Score | In plain words |
|---|---|---|---|
| C1 | Earnings | 8 | Earnings far above the national average. |
| C2 | Employer demand | 6 | Normal demand. |
| C3 | Future growth | 9 | Demand will grow strongly until 2030. |
| C4 | Resistance to AI | 4 | Easy to automate. |
| C5 | Training time | 6 | Average training. |
| C6 | Working conditions | 9 | Good conditions. |
| C7 | Stability | 5 | Average stability. |
| C8 | International mobility | 10 | In demand and recognised in many countries. |
| C9 | Social usefulness | 6 | Average social impact. |
| C10 | Ease of entry | 6 | Quite hard. |
| C11 | Media (non-linear) | 3 | A fashionable job: many choose it. |
| C12 | Pay trend | 5 | Wages are rising moderately. |
| C13 | Crowding (inverse) | 2 | Very many candidates. |
| C14 | Risks | 5 | A few risks. |
Sources: World Economic Forum: Future of Jobs Report 2025, the jobs of the future; World Economic Forum: Future of Jobs 2025, the jobs outlook chapter; ManpowerGroup: the global talent shortage, 2025 (about 40,000 employers)
The data behind the scores
The analysis’s sources
What the analysis shows
Information security specialist meets the most conditions (12 of 14). The ranking rewards substance: real results and real opportunities, weighed against how hard and how expensive they are to reach, not only fame.
The rankings are indicative and rest on public data as of the snapshot date. The right choice depends on each person’s situation.
How we apply the 14 conditions in this domain
The same algorithm as for crypto, companies and commodities: each condition gets a score from 0 to 10 and is met from 7. The weights are identical in every domain; only what we measure in practice changes.
| # | Condition | What we measure | Weight |
|---|---|---|---|
| C1 | Earnings | Pay compared with the average in the countries where it is in demand. | 16% |
| C2 | Employer demand | Vacancies and staff shortages. | 6% |
| C3 | Future growth | Expected demand until 2030 (WEF). | 6% |
| C4 | Resistance to AI | How hard it is to automate. | 8% |
| C5 | Training time | How long it takes to qualify (shorter = better). | 6% |
| C6 | Working conditions | Schedule, physical effort, stress. | 8% |
| C7 | Stability | Job security. | 8% |
| C8 | International mobility | The qualification is recognised and in demand in many countries. | 4% |
| C9 | Social usefulness | How much it matters to others. | 6% |
| C10 | Ease of entry | How easy it is to enter the trade. | 6% |
| C11 | Media (non-linear) | Balanced attention; fashionable jobs attract too many. | 6% |
| C12 | Pay trend | Wages are rising or stagnating. | 6% |
| C13 | Crowding (inverse) | How many choose the same job. | 6% |
| C14 | Risks | Accidents, occupational illness, volatility. | 8% |
Questions about the reasoning
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Sources
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