Society & Work
How many jobs are lost to automation every day?
Automation is eating jobs faster now. Robotics, AI, and RPA all contribute. WEF 2023: 83 million jobs displaced globally 2023-2027. BLS: 6.3 million US workers displaced from 2021-2023. Oxford Martin (2013) put 47% of US jobs at high automation risk within 20 years. That number is debated, but the direction is clear.
Roughly 20 jobs every minute.
Source: WEF Future of Jobs 2023; Oxford Martin School (Frey & Osborne 2013). AnythingCounter overview →
Job displacement over time
Job displacement from automation accelerated in the 2020s as large language models expanded automation from physical tasks into cognitive work. WEF Future of Jobs 2025 projects 92 million jobs displaced globally by 2030 (~18.4M/year), up from the 83M over 2023-2027 projected by the 2023 edition.
| Year | Rate | Jobs/day | Context |
|---|---|---|---|
| 2020 | 20/min | 29K | COVID drives automation acceleration |
| 2024 | 20/min | 29K | AI begins displacing knowledge workers; global rate modelled from US BLS data |
| 2027 (forecast) | 40/min | 58K | AI displaces knowledge work at scale |
| 2028 (forecast) | 48/min | 69K | LLM-powered cognitive automation expands |
Key automation displacement statistics
WEF Future of Jobs 2025: 92 million jobs displaced globally by 2030 (~18.4M/year); robotics/autonomous systems is the largest net job displacer
WEF 2023 projected 83 million jobs displaced 2023-2027 (net -14M); WEF 2025 revised this to 92M displaced but +78M net, as new job creation accelerated more
BLS: 6.3 million US workers displaced from jobs in 2021-2023
Oxford Martin (2013): 47% of US employment at "high risk" of automation within 20 years
41% of employers globally plan to reduce their workforce as AI automates certain tasks (WEF 2025)
Jobs displaced vs. jobs created by automation, today
The net balance for 2023-2027 is -14 million globally. Both flows run simultaneously: each displaced role represents a human worker; each created role requires retraining and relocation.
The automation displacement wave: which work is vanishing and why
The displacement curve
Automation has displaced workers in manufacturing since the 1980s, but the current wave is qualitatively different: AI is now displacing cognitive work. Call centres, data entry, legal research, financial analysis, and content creation are all being automated by LLMs and specialised AI tools. The McKinsey Global Institute estimates 375-800 million workers face displacement by 2030. The wide range reflects uncertainty about AI adoption speed, regulatory responses, and the pace of new job creation in affected economies.
Why this wave is different
Previous automation waves primarily affected routine manual tasks, leaving non-routine cognitive work largely intact. The current wave of large language models and multimodal AI is the first to credibly threaten non-routine cognitive tasks: writing, analysis, coding, legal research, and creative work. This means the displacement risk has climbed the income and education ladder, reaching professional occupations that were previously considered "automation-proof." Workers with higher education are experiencing automation risk for the first time, and policy frameworks designed around manufacturing displacement are not well-suited to this new reality.
Research data
| Year | Finding | Value | Source |
|---|---|---|---|
| 2013 | Oxford Martin (Frey & Osborne): 47% of US employment at high risk of computerisation in next 10-20 years | 47 % US jobs at high automation risk | World Economic Forum |
| 2018 | WEF Future of Jobs 2018: 75M jobs displaced by 2022 | 75.0M jobs displaced projected 2018-2022 | World Economic Forum |
| 2020 | WEF 2020: 85M jobs displaced by 2025; COVID accelerates automation adoption | 85.0M jobs displaced projected 2020-2025 | World Economic Forum |
| 2023 | WEF 2023: 83M jobs displaced 2023-2027; first net negative projection (-14M) | 83.0M jobs displaced projected 2023-2027 | World Economic Forum |
| 2025 | WEF Future of Jobs 2025 (Jan 2025): 92M jobs displaced by 2030 (~18.4M/year); 170M created; net +78M. Robotics and autonomous systems is the single largest net job displacer; cashiers, administrative assistants, and graphic designers among fastest-declining roles | 92.0M jobs displaced projected by 2030 | World Economic Forum |
| 2026 | WEF Four Futures for Jobs (Jan 2026): 4 AI/talent scenarios through 2030; 59% of the global workforce will need reskilling by 2030; 39% of core skills expected to become outdated | 59 % of global workforce needing reskilling by 2030 | World Economic Forum |
Key milestones
- 2013Oxford Martin School: 47% of US jobs at automation risk; landmark paper triggers global debate
- 2017McKinsey: 375-800M workers globally could be displaced by 2030
- 2020COVID-19 accelerates automation adoption: 43% of companies plan to reduce workforce due to technology (WEF)
- 2023WEF first negative net projection: 83M displaced vs 69M created 2023-2027
- 2025WEF Future of Jobs 2025: 92M displaced by 2030, but 170M created — net +78M; robotics/autonomous systems is largest net displacer; graphic designers join fastest-declining roles list due to generative AI
In perspective
Based on scaled BLS data, a worker somewhere loses their job to automation roughly every three seconds.
By this estimate, automation displaces roughly the equivalent of Belgium's entire workforce every year.
Every three seconds, a job somewhere changes permanently because of automation. In many cases, that work never comes back.
How the number is calculated
The live counter uses 20 jobs displaced per minute, derived from BLS displaced worker data (6.3M US workers displaced 2021–2023, approximately 3.15M/year) scaled to a conservative global estimate. For context, WEF 2025 projects 92 million displaced by 2030 (18.4M/year ≈ 35/min), which is the forecast context; the counter uses the more conservative observed BLS-anchored baseline. The live counter accumulates displacement from midnight.
Sources: WEF - Future of Jobs Report 2025 - BLS - Displaced Workers Survey. Methodology →
Frequently asked questions
- How many jobs are being lost to automation per year?
- The WEF Future of Jobs 2025 projects 92 million jobs displaced globally by 2030, approximately 18.4 million per year. BLS data shows 6.3 million US displaced workers in 2021-2023. Automation's share of total job displacement is estimated at 15-30%.
- Which jobs are most at risk from automation?
- Oxford Martin (2013) identified clerk, data entry, accounts payable, telemarketing, and bank tellers as highest-risk roles. More recent analysis adds radiologists, paralegals, journalists, and customer service representatives due to AI language capabilities.
Why trust this data
The WEF Future of Jobs 2025 report (92M displaced by 2030) and its 2023 predecessor (83M displaced 2023-2027) are based on employer surveys across 45 economies and 800+ companies. US data comes from the BLS Displaced Workers Survey (published every two years). Oxford Martin School's foundational 2013 paper by Frey and Osborne has 10,000+ academic citations. These sources represent the gold standard for employment-automation research.
Explore related: Jobs gained from automation - Robots deployed - Automation statistics, and the AnythingCounter data dashboard.