Table of contents
- What the future of work looks like in the data
- The biggest shifts in jobs and skills
- Where demand is rising and where roles are being replaced
- What employers are doing about AI and training
- Remote work, telework, and who works from home
- What the data says about AI adoption and skills demand
- Reading the signal in one place
The future of work is not a single trend. It is a cluster of job creation, job displacement, skills churn, telework patterns, and AI adoption moving at the same time.
The latest figures point to a labor market that is still expanding, but only by absorbing very large changes in what people do, how they do it, and which skills matter most.
What the future of work looks like in the data
One useful way to read the headline numbers is to separate growth from disruption. The World Economic Forum Future of Jobs Report 2025 says macrotrend-driven job creation and displacement are expected to equal 22% of today’s formal jobs (WEF Future of Jobs Report 2025). That same report projects 170 million new jobs by 2030, equal to 14% of today’s total employment (WEF Future of Jobs Report 2025), and 92 million jobs displaced by 2030, equal to 8% of total employment (WEF Future of Jobs Report 2025). The net result is a forecast gain of 78 million jobs by 2030, equal to 7% of today’s total employment (WEF Future of Jobs Report 2025).
A compact way to view the same forecast is below.
| Measure | Value | Source |
|---|---|---|
| Jobs created by 2030 | 170 million | WEF Future of Jobs Report 2025 |
| Jobs displaced by 2030 | 92 million | WEF Future of Jobs Report 2025 |
| Net gain by 2030 | 78 million | WEF Future of Jobs Report 2025 |
| Combined jobs affected | 262 million | WEF Future of Jobs Report 2025 |
| Share of today’s formal jobs affected | 22% | WEF Future of Jobs Report 2025 |
The scale matters. The report’s forecast means the future of work is not only about whether the workforce grows or shrinks. It is about how much churn sits underneath that growth. When 262 million roles are affected in one forecast window, the main story becomes transition rather than stasis (WEF Future of Jobs Report 2025).
The biggest shifts in jobs and skills
The report is clear that skills change is central to the next phase of work. Employers expect 39% of workers’ core skills to change by 2030 (WEF Future of Jobs Report 2025). That estimate is down from 44% in 2023 (WEF Future of Jobs Report 2025), but it still means a large share of job content is evolving, not just the job titles themselves.
One of the most important signals is that analytical thinking is considered essential by seven out of 10 companies, or 70% (WEF Future of Jobs Report 2025). That number is useful because it sits next to a much broader shift in the skill mix. AI and big data are the fastest-growing skill category in the report’s skills outlook (WEF Future of Jobs Report 2025), and in the top 10 industries, over 90% of respondents expect AI and big data skills to increase in use (WEF Future of Jobs Report 2025).
The skills story is not limited to one sector. In agriculture, forestry and fishing, 70% expect AI and big data skills to increase in use (WEF Future of Jobs Report 2025). In accommodation, food and leisure, 69% expect the same (WEF Future of Jobs Report 2025). That kind of spread suggests the future of work is not contained to office jobs, software teams, or high-tech firms. It reaches across the economy.
Fast facts on job transitions
- 170 million new jobs are projected by 2030, equal to 14% of today’s total employment (WEF Future of Jobs Report 2025).
- 92 million jobs are projected to be displaced by 2030, equal to 8% of total employment (WEF Future of Jobs Report 2025).
- 39% of workers’ core skills are expected to change by 2030 (WEF Future of Jobs Report 2025).
- 70% of companies consider analytical thinking essential (WEF Future of Jobs Report 2025).
- Over 90% of respondents in the top 10 industries expect AI and big data skills to increase in use (WEF Future of Jobs Report 2025).
Where demand is rising and where roles are being replaced
The report does not describe change as evenly distributed. Some forces create jobs, some replace them, and some do both at once. Broadening digital access is expected to create 19 million jobs by 2030 and replace 9 million jobs by 2030 (WEF Future of Jobs Report 2025). AI and data processing are expected to create 11 million roles by 2030 and replace 9 million roles by 2030 (WEF Future of Jobs Report 2025). Robots and automation are forecast to displace 5 million more jobs than they create by 2030 (WEF Future of Jobs Report 2025). Slower economic growth is expected to displace 1.6 million jobs globally by 2030 (WEF Future of Jobs Report 2025).
That mix matters because it shows why the future of work is often described in contradictory terms. The same system can create opportunity in one part of the economy while compressing headcount in another. The net effect is still positive in the WEF forecast, but only after very large role changes are absorbed (WEF Future of Jobs Report 2025).
Another way to read the report is through degree requirements. Fourteen of the 15 fastest-growing jobs over 2025-2030 primarily require a university degree (WEF Future of Jobs Report 2025). At the same time, only 7 of the 15 largest-growing roles require an advanced degree (WEF Future of Jobs Report 2025). The implication is not that education matters less. It is that the kinds of education needed are not identical across the fast-growth list and the biggest-growth list.
Job growth and displacement at a glance
| Driver | Creates | Replaces | Source |
|---|---|---|---|
| Broadening digital access | 19 million | 9 million | WEF Future of Jobs Report 2025 |
| AI and data processing | 11 million | 9 million | WEF Future of Jobs Report 2025 |
| Robots and automation | Not stated as a creation figure in the dataset | 5 million more than created | WEF Future of Jobs Report 2025 |
| Slower economic growth | Not stated as a creation figure in the dataset | 1.6 million | WEF Future of Jobs Report 2025 |
That table captures a key pattern. The biggest workforce transitions are not just about new technologies arriving. They are about which technologies scale fast enough to create work while also removing other work from the system.
What employers are doing about AI and training
Employer response is moving in several directions at once. Half of surveyed employers expect AI to reshape their business models toward new opportunities (WEF Future of Jobs Report 2025). At the same time, 41% of employers plan to reduce workforce size as AI automates tasks (WEF Future of Jobs Report 2025), while 77% plan to upskill workers in response to AI and other disruptions (WEF Future of Jobs Report 2025). Almost half of employers expect to transition staff from AI-exposed roles into other parts of the business, i.e. about 50% (WEF Future of Jobs Report 2025).
This combination is the central management problem in the future of work. It is not simply “adopt AI” or “don’t adopt AI.” It is deciding how to reorganize people, tasks, and skills while the technology changes the economics of work underneath them.
The report’s barrier data shows why this is hard. Organizational culture and resistance to change is cited by 46% of respondents as a key barrier to transformation (WEF Future of Jobs Report 2025). Regulatory concerns are cited by 39% of employers as a key barrier (WEF Future of Jobs Report 2025). Lack of adequate data and technical infrastructure is cited by 32% of employers as a barrier (WEF Future of Jobs Report 2025). Shortage of investment capital is cited by 26% of employers as a barrier (WEF Future of Jobs Report 2025). Insufficient understanding of opportunities is cited by 25% of employers as a barrier (WEF Future of Jobs Report 2025).
There is also a talent availability problem. Only 29% of businesses expect talent availability to improve over 2025-2030 (WEF Future of Jobs Report 2025), while 42% of employers expect talent availability to decline over 2025-2030 (WEF Future of Jobs Report 2025). That gap explains why training sits so high in the employer response stack.
Training is becoming a default strategy
Training completion is already broad. 50% of the workforce has completed training as part of learning and development initiatives (WEF Future of Jobs Report 2025), up from 41% in 2023 (WEF Future of Jobs Report 2025). That increase suggests employers are not waiting for a future skills gap to appear before acting. They are acting now.
The same report breaks workforce readiness into a representative 100-worker framing. For 100 workers, 41 will not require significant training by 2030 (WEF Future of Jobs Report 2025). For 100 workers, 11 will require training but it will not be accessible in the foreseeable future (WEF Future of Jobs Report 2025). For 100 workers, 29 will require training and be upskilled within their current roles (WEF Future of Jobs Report 2025).
That framing matters because it shows that training is not only about volume. It is about accessibility, timing, and whether the worker can be upskilled before the work itself changes too much.
Training priorities and expected outcomes
- 77% of respondents say the main outcome of training investment is enhanced productivity (WEF Future of Jobs Report 2025).
- 70% of respondents say the main outcome is improved competitiveness (WEF Future of Jobs Report 2025).
- More than 72% of employers in Automotive and Aerospace, Electronics, and Production of Consumer Goods highlight talent retention as a key training priority (WEF Future of Jobs Report 2025).
The training picture is not just about money spent. It is about the business reason behind the spend. Productivity and competitiveness are the clearest employer goals in the dataset, while retention becomes especially important in some manufacturing and production-heavy sectors (WEF Future of Jobs Report 2025).
Remote work, telework, and who works from home
The future of work also includes where work happens. The BLS data shows that 35% of employed people did some or all of their work at home on days they worked in 2023 (BLS Economics Daily). That was up from 34% in 2022 and 24% in 2019 (BLS Economics Daily). In 2023, 73% of employed people did some or all of their work at their workplace on days they worked (BLS Economics Daily).
Education remains a major divider in home-based work. Among employed people age 25 and over, 52% of those with a bachelor’s degree or higher worked at home on days they worked (BLS Economics Daily). Only 22% of employed people age 25 and over with a high school diploma and no college worked at home on days they worked (BLS Economics Daily).
Gender differences are smaller than the education gap. In 2023, employed women were about equally likely as employed men to work at home on days they worked, at 36% versus 34% (BLS Economics Daily).
The telework-specific data for first-quarter 2024 adds another layer. 35.5 million people teleworked or worked at home for pay (BLS Telework Trends 2024). Those 35.5 million teleworkers represented 22.9% of people at work in the first quarter of 2024 (BLS Telework Trends 2024), up from 19.6% a year earlier (BLS Telework Trends 2024).
Telework by occupation and education
| Group | Telework rate | Source |
|---|---|---|
| Management, professional, and related occupations | 37.9% | BLS Telework Trends 2024 |
| Sales and office occupations | 24.9% | BLS Telework Trends 2024 |
| Service occupations | 5.4% | BLS Telework Trends 2024 |
| Production, transportation, and material moving occupations | 3.2% | BLS Telework Trends 2024 |
| Natural resources, construction, and maintenance occupations | 3.2% | BLS Telework Trends 2024 |
| Less than high school diploma | 3.5% | BLS Telework Trends 2024 |
| High school graduate, no college | 8.5% | BLS Telework Trends 2024 |
| Some college or associate degree | 18.3% | BLS Telework Trends 2024 |
| Bachelor’s degree only | 38.4% | BLS Telework Trends 2024 |
| Advanced degree | 43.6% | BLS Telework Trends 2024 |
That table highlights a consistent pattern. Telework rises with education and with knowledge-intensive occupations. It is far lower in service, production, transportation, construction, and maintenance roles than in management and professional work (BLS Telework Trends 2024).
The distribution inside telework also matters. Among teleworkers in first-quarter 2024, 47.9% teleworked all of their hours (BLS Telework Trends 2024), while 52.1% teleworked some hours (BLS Telework Trends 2024). Among teleworkers, 36.7% worked 40 or more hours from home (BLS Telework Trends 2024), 15.2% worked up to 8 hours from home (BLS Telework Trends 2024), and 18.1% worked 9 to 16 hours from home (BLS Telework Trends 2024).
The occupational gap is especially sharp. In the first quarter of 2024, management, professional and related occupations had a 37.9% telework rate while sales and office occupations had a 24.9% rate, a 13.0-point gap (BLS Telework Trends 2024). The telework rate for workers with a disability rose by 4.2 percentage points year over year in the first quarter of 2024 (BLS Telework Trends 2024), while the rate for workers with no disability rose by 3.2 percentage points year over year (BLS Telework Trends 2024).
What the data says about AI adoption and skills demand
The OECD data gives another angle on the future of work because it tracks actual adoption and reported use. In 2025, 20.2% of firms across OECD countries reported using AI (OECD Artificial Intelligence topic page). That compares with 14.2% in 2024 (OECD Artificial Intelligence topic page) and 8.7% in 2023 (OECD Artificial Intelligence topic page). The 2025 adoption rate is 2.3 times the 2023 rate (OECD Artificial Intelligence topic page).
Sector differences are large. 57.3% of ICT firms across the OECD used AI in 2025 (OECD Artificial Intelligence topic page). 36.8% of professional and scientific services firms used AI in 2025 (OECD Artificial Intelligence topic page). Year-on-year AI-use growth in accommodation and food services reached 62.5% in 2025 (OECD Artificial Intelligence topic page). Year-on-year AI-use growth in construction reached 59.1% in 2025 (OECD Artificial Intelligence topic page).
That kind of growth says two things at once. First, AI is no longer limited to a small set of digital firms. Second, adoption is uneven enough that the training burden will differ from sector to sector.
Who uses generative AI
The OECD topic page also shows a big spread in generative-AI use by group. The largest divide in generative-AI use is by age at 53.6 percentage points (OECD Artificial Intelligence topic page). The gender gap in generative-AI use is 4.2 percentage points (OECD Artificial Intelligence topic page). Three-quarters of students aged 16 and over report use of generative-AI tools (OECD Artificial Intelligence topic page). 41.1% of people in employment report use of generative-AI tools (OECD Artificial Intelligence topic page). 36.7% of unemployed people report use of generative-AI tools (OECD Artificial Intelligence topic page). 12.5% of retired and other inactive people report use of generative-AI tools (OECD Artificial Intelligence topic page).
The OECD skills research adds a useful occupational lens. High-exposure occupations comprise one-third of all vacancies in the sample (OECD AI and changing demand for skills report). Across 10 OECD countries, 72% of vacancies in high AI-exposure occupations demand at least one management skill (OECD AI and changing demand for skills report). 67% demand at least one business-process skill (OECD AI and changing demand for skills report). More than 50% demand at least one social, emotional or digital skill (OECD AI and changing demand for skills report). The share of vacancies demanding at least one skill from these groupings increased by over five percentage points in high-exposure occupations (OECD AI and changing demand for skills report).
The report also notes that demand for cognitive skills increased by eight percentage points in high-exposure occupations (OECD AI and changing demand for skills report), demand for social skills increased by more than 6 percentage points in high-exposure occupations (OECD AI and changing demand for skills report), and demand for business-process skills increased by more than 5 percentage points in high-exposure occupations (OECD AI and changing demand for skills report). Higher establishment AI exposure is associated with increased demand for production and technology skills (OECD AI and changing demand for skills report), and with increased demand for physical skills (OECD AI and changing demand for skills report).
Reading the signal in one place
Taken together, these statistics point to a future of work defined by three overlapping realities. Jobs are being created and displaced at the same time (WEF Future of Jobs Report 2025). Skills are changing faster than many workers and employers would prefer (WEF Future of Jobs Report 2025). And the location, technology, and structure of work are still shifting, whether through telework patterns or AI adoption (BLS Economics Daily; BLS Telework Trends 2024; OECD Artificial Intelligence topic page).
The clearest data-backed takeaway is that adaptability is no longer a niche advantage. It is the operating condition. Employers are already acting through upskilling, training, restructuring, and workforce transitions (WEF Future of Jobs Report 2025). Workers are already navigating a labor market where telework, AI use, and skill demand vary dramatically by occupation and education (BLS Economics Daily; BLS Telework Trends 2024; OECD AI and changing demand for skills report).