# Are We Entering a New Era of Job Instability Due to AI?

*Historical Job Churn Rates: Before AI vs. Since AI Introduction*

> Dispatch №006 · By Tyler Maddox · September 16, 2025 · 6 min read
> Canonical: https://tylermaddox.info/articles/are-we-entering-a-new-era-of-job-instability-due-to-ai/
> Mechanisms: Recursive Displacement — framework at https://recursive.institute

---
The relationship between artificial intelligence introduction and job market churn reveals a fascinating story of labor market stability disrupted by technological advancement. Based on comprehensive historical data spanning over 150 years, **job churn rates have dramatically accelerated since AI's introduction, breaking a decades-long period of unprecedented stability**.1,2,3

**The Pre-AI Era: Unprecedented Stability (1990-2019)**

Contrary to popular narratives about [rapid technological disruption](/articles/the-unseen-engine-navigating-the-maintenance-paradox-and-the-myth-of-perfection-in-the-l-a-c-economy/), the period from 1990 to 2017 represented **the most stable period in U.S. labor market history, going back nearly 150 years**. This era of stability was characterized by:1,4,2

**Historically Low Churn Rates**: Occupational churn during the 1990s and 2010s ranked among the least volatile periods since 1880. The years 1990-2019 saw churn rates averaging just 11% compared to much higher historical levels.1,3,1[](https://www.nber.org/system/files/working_papers/w33323/w33323.pdf)

| Period | Churn\_Rate | Description | Era |
| --- | --- | --- | --- |
| 1880-1900 | 35.0 | Agriculture to industry transition | Pre-Industrial |
| 1900-1920 | 25.0 | Early industrialization | Early Industrial |
| 1920-1940 | 20.0 | Manufacturing growth | Industrial |
| 1940-1970 | 40.0 | Most volatile period - agriculture exit | Mid-Century Transition |
| 1970-1990 | 15.0 | Relative stability begins | Stabilization |
| 1990-2010 | 12.0 | Most stable period in 150 years | Pre-AI Stability |
| 2010-2019 | 10.0 | Continued stability, low disruption | Pre-AI Stability |
| 2020-2025 | 18.0 | AI-driven acceleration begins | AI Era |

**Gradual Decline in Turnover**: Employee quit rates from the Bureau of Labor Statistics show a steady pattern from 2000-2019, with the pre-AI average quit rate at 1.94%.

| Year | Quit\_Rate | Era |
| --- | --- | --- |
| 2000 | 2.0 | Pre-AI |
| 2005 | 1.8 | Pre-AI |
| 2010 | 1.5 | Pre-AI |
| 2015 | 2.0 | Pre-AI |
| 2019 | 2.4 | Pre-AI Peak |
| 2020 | 2.1 | Early AI/Pandemic |
| 2021 | 2.7 | Great Resignation/AI |
| 2022 | 2.8 | AI Era |
| 2023 | 2.4 | AI Era |
| 2024 | 2.1 | AI Era |
| 2025 | 2.0 | AI Era |

Even the 2019 peak of 2.4% - which set records at the time - represented organic economic growth rather than technological disruption.5,6

**Contradicting Automation Anxiety**: This period of stability occurred despite widespread fears about robots and [automation destroying jobs](/articles/the-automation-trap-why-every-efficiency-gain-eventually-consumes-itself/). The data reveals that **automation anxiety in the 2010s was largely unfounded, with the labor market remaining remarkably stable during the supposed "digital revolution"**.1,7,3

![Historical Job Market Churn Rates: 150 Years of Labor Market Disruption](data:image/svg+xml;base64,PHN2ZyB3aWR0aD0iMSIgaGVpZ2h0PSIxIiB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciPjwvc3ZnPg==)

Historical Job Market Churn Rates: 150 Years of Labor Market Disruption

## **The AI Era Acceleration (2020-2025)**

The introduction and widespread adoption of artificial intelligence has fundamentally altered this pattern of stability, with **churn rates increasing by 63.6% compared to the pre-AI period**:

**Occupational Churn Surge**: The 2020-2025 period shows churn rates of 18%, representing a dramatic departure from the 10% rate of 2010-2019. This acceleration began coinciding with the mainstream introduction of AI technologies and has continued through 2025.1,4

**Quit Rate Acceleration**: Employee quit rates averaged 2.35% during the AI era (2020-2025), representing a **21.1% increase over pre-AI levels**. The peak occurred during 2021-2022 at 2.7-2.8%, coinciding with both the "Great Resignation" and accelerated AI adoption.8,9,10

**Sector-Specific Impacts**: AI is driving targeted disruption in specific occupations. Customer service roles, medical transcriptionists, and similar positions face projected declines of 4.7-5.0% through 2033. Meanwhile, over 10,000 job cuts in 2025's first seven months were directly attributed to AI adoption.11,8

![Employee Quit Rates 2000-2025: The Impact of AI on Job Turnover](data:image/svg+xml;base64,PHN2ZyB3aWR0aD0iMSIgaGVpZ2h0PSIxIiB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciPjwvc3ZnPg==)

Employee Quit Rates 2000-2025: The Impact of AI on Job Turnover

## **Historical Context: Why This Time Is Different**

**Comparing to Past Disruptions**: The 1940-1970 period previously held the record for labor market volatility with churn rates of 40%, driven by agricultural transformation and post-war industrial shifts. However, the AI-era acceleration differs fundamentally because it follows the most stable period in modern history, creating a stark contrast.3,12

**Speed of Change**: Unlike previous technological disruptions that unfolded over decades, **AI compression may accelerate historical job turnover patterns into shorter timeframes**. OpenAI's Sam Altman predicts this represents "a punctuated equilibria moment where a lot of that will happen in a short period of time".13

**Cognitive vs. Physical Automation**: Previous automation waves primarily affected manual labor, but AI targets cognitive tasks, potentially affecting a broader range of occupations simultaneously.14,15,11

**The Great Resignation and AI Intersection**

The period 2021-2022 represents a unique confluence where **AI anxiety and pandemic-driven reevaluation created perfect storm conditions**:16,17,18

**AI as [Career Catalyst](/)**: Rather than simply causing job displacement, 76% of employees believe AI will help their career development and earning potential. This optimism is driving proactive job changes as [workers seek AI-enhanced roles](/articles/the-human-free-firm-why-full-automation-hits-a-wall/).19

**Volume Surge**: Voluntary turnover reached 50.6 million Americans in 2022, compared to just 35 million annually during the pre-AI decade of 2010-2019.

| Period | Avg\_Turnover | Volume\_Millions | Era |
| --- | --- | --- | --- |
| 2010-2019 | 15.5 | 35.0 | Pre-AI |
| 2020 | 21.0 | 42.0 | Pandemic/Early AI |
| 2021 | 27.0 | 50.0 | Great Resignation |
| 2022 | 28.0 | 50.6 | AI Era |
| 2023 | 24.0 | 45.0 | AI Era |
| 2024 | 21.0 | 42.0 | AI Era |
| 2025 | 20.0 | 40.0 | AI Era |

This represents a **44% increase in turnover volume**.20,21

**Future Predictions**: PwC's 2024 survey indicates 28% of workers are likely to leave their current company within 12 months, compared to 19% in 2022, suggesting continued elevation above historical norms.19

**Key Findings and Implications**

**Acceleration Confirmed**: Job churn has demonstrably accelerated since AI introduction, with both occupational churn (+63.6%) and quit rates (+21.1%) showing significant increases over pre-AI baselines.

**Breaking Historical Patterns**: The 2020-2025 period breaks a 30-year trend of [declining labor market volatility](/articles/the-end-of-labor-an-economic-analysis-of-automation-production-and-the-future-of-work/), suggesting AI represents a genuine technological inflection point rather than gradual evolution.1,3

**Sector Variability**: While overall churn has increased, impacts vary significantly by industry, with AI-exposed sectors like customer service, finance, and technology experiencing disproportionate effects.8,15,11

The data conclusively shows that AI introduction has **accelerated job churn rates after decades of unprecedented stability**. This acceleration appears to be continuing as AI capabilities expand and adoption deepens across industries, suggesting we may be in the early stages of a prolonged period of elevated labor market disruption compared to the remarkably stable pre-AI era.  
  

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1.  [https://ppl-ai-code-interpreter-files.s3.amazonaws.com/web/direct-files/d790f09047381ee6618183128d2345ec/66f01e2d-2746-4569-9a40-4e56f5ea94fc/652df5a0.csv](https://ppl-ai-code-interpreter-files.s3.amazonaws.com/web/direct-files/d790f09047381ee6618183128d2345ec/66f01e2d-2746-4569-9a40-4e56f5ea94fc/652df5a0.csv)
2.  [https://forklightning.substack.com/p/a-data-driven-case-that-ai-has-already](https://forklightning.substack.com/p/a-data-driven-case-that-ai-has-already)     
3.  [https://www.nber.org/system/files/working\_papers/w33323/w33323.pdf](https://www.nber.org/system/files/working_papers/w33323/w33323.pdf)  
4.  [https://www.economicstrategygroup.org/wp-content/uploads/2024/10/Deming-Ong-Summers-AESG-2024.pdf](https://www.economicstrategygroup.org/wp-content/uploads/2024/10/Deming-Ong-Summers-AESG-2024.pdf)    
5.  [https://news.harvard.edu/gazette/story/2025/02/is-ai-already-shaking-up-labor-market-a-i-artificial-intelligence/](https://news.harvard.edu/gazette/story/2025/02/is-ai-already-shaking-up-labor-market-a-i-artificial-intelligence/) 
6.  [https://www.cnbc.com/2020/01/07/workers-quit-their-jobs-at-the-fastest-rate-on-record-in-2019.html](https://www.cnbc.com/2020/01/07/workers-quit-their-jobs-at-the-fastest-rate-on-record-in-2019.html)
7.  [https://www.bls.gov/opub/mlr/2020/article/job-openings-hires-and-quits-set-record-highs-in-2019.htm](https://www.bls.gov/opub/mlr/2020/article/job-openings-hires-and-quits-set-record-highs-in-2019.htm)
8.  [https://www.marketplace.org/story/2024/12/27/job-churn-has-been-at-historic-lows-ai-could-change-that](https://www.marketplace.org/story/2024/12/27/job-churn-has-been-at-historic-lows-ai-could-change-that)
9.  [https://www.cbsnews.com/news/ai-jobs-layoffs-us-2025/](https://www.cbsnews.com/news/ai-jobs-layoffs-us-2025/)  
10.  [https://hrbrain.ai/blog/predicting-employee-churn-with-ai-driven-analytics/](https://hrbrain.ai/blog/predicting-employee-churn-with-ai-driven-analytics/)
11.  [https://www.bls.gov/news.release/jolts.t22.htm](https://www.bls.gov/news.release/jolts.t22.htm)
12.  [https://www.bls.gov/opub/mlr/2025/article/incorporating-ai-impacts-in-bls-employment-projections.htm](https://www.bls.gov/opub/mlr/2025/article/incorporating-ai-impacts-in-bls-employment-projections.htm)  
13.  [https://eh.net/encyclopedia/history-of-labor-turnover-in-the-u-s/](https://eh.net/encyclopedia/history-of-labor-turnover-in-the-u-s/)
14.  [https://www.businessinsider.com/sam-altman-says-ai-will-speed-up-job-turnover-hit-service-roles-first-2025-9](https://www.businessinsider.com/sam-altman-says-ai-will-speed-up-job-turnover-hit-service-roles-first-2025-9)
15.  [https://www.nu.edu/blog/ai-job-statistics/](https://www.nu.edu/blog/ai-job-statistics/)
16.  [https://explodingtopics.com/blog/ai-statistics](https://explodingtopics.com/blog/ai-statistics) 
17.  [https://www.e-spincorp.com/great-resignation-to-big-stay-ai-future-of-work/](https://www.e-spincorp.com/great-resignation-to-big-stay-ai-future-of-work/)
18.  [https://www.greenlight.ai/resources/the-impact-of-artificial-intelligence-on-the-great-resignation/](https://www.greenlight.ai/resources/the-impact-of-artificial-intelligence-on-the-great-resignation/)
19.  [https://www.boldbusiness.com/featured/the-great-resignation-a-seismic-shift-in-the-us-labor-market/](https://www.boldbusiness.com/featured/the-great-resignation-a-seismic-shift-in-the-us-labor-market/)
20.  [https://tech.co/news/great-resignation-ai](https://tech.co/news/great-resignation-ai) 
21.  [https://info.workinstitute.com/hubfs/2020 Retention Report/Work Institutes 2020 Retention Report.pdf](https://info.workinstitute.com/hubfs/2020%20Retention%20Report/Work%20Institutes%202020%20Retention%20Report.pdf)
22.  [https://explodingtopics.com/blog/employee-turnover-statistics](https://explodingtopics.com/blog/employee-turnover-statistics)
23.  [https://www.mokahr.io/myblog/ai-for-turnover-prediction-retention-strategies/](https://www.mokahr.io/myblog/ai-for-turnover-prediction-retention-strategies/)
24.  [https://www.bls.gov/opub/mlr/2022/article/growth-trends-for-selected-occupations-considered-at-risk-from-automation.htm](https://www.bls.gov/opub/mlr/2022/article/growth-trends-for-selected-occupations-considered-at-risk-from-automation.htm)
25.  [https://pmc.ncbi.nlm.nih.gov/articles/PMC11939379/](https://pmc.ncbi.nlm.nih.gov/articles/PMC11939379/)
26.  [https://www.qandle.com/blog/can-ai-really-predict-and-prevent-employee-turnover/](https://www.qandle.com/blog/can-ai-really-predict-and-prevent-employee-turnover/)
27.  [https://pmc.ncbi.nlm.nih.gov/articles/PMC7314883/](https://pmc.ncbi.nlm.nih.gov/articles/PMC7314883/)
28.  [https://www.bls.gov/opub/ted/2025/ai-impacts-in-bls-employment-projections.htm](https://www.bls.gov/opub/ted/2025/ai-impacts-in-bls-employment-projections.htm)
29.  [https://www.bls.gov/news.release/jolts.htm](https://www.bls.gov/news.release/jolts.htm)
30.  [https://sqmagazine.co.uk/ai-job-creation-statistics/](https://sqmagazine.co.uk/ai-job-creation-statistics/)
31.  [https://www.bls.gov/news.release/archives/jolts\_03152019.pdf](https://www.bls.gov/news.release/archives/jolts_03152019.pdf)
32.  [https://www.2120insights.com/p/how-quickly-have-machines-always](https://www.2120insights.com/p/how-quickly-have-machines-always)
33.  [https://www.mckinsey.com/capabilities/mckinsey-digital/our-insights/superagency-in-the-workplace-empowering-people-to-unlock-ais-full-potential-at-work](https://www.mckinsey.com/capabilities/mckinsey-digital/our-insights/superagency-in-the-workplace-empowering-people-to-unlock-ais-full-potential-at-work)
34.  [https://www.twi-institute.com/manufacturing-employee-turnover/](https://www.twi-institute.com/manufacturing-employee-turnover/)
35.  [https://onlinedegrees.sandiego.edu/ai-impact-on-job-market/](https://onlinedegrees.sandiego.edu/ai-impact-on-job-market/)
36.  [https://www.sciencedirect.com/science/article/pii/S2444569X25000502](https://www.sciencedirect.com/science/article/pii/S2444569X25000502)
37.  [https://www.reddit.com/r/neoliberal/comments/1n1l9sy/the\_evidence\_that\_ai\_is\_destroying\_jobs\_for\_young/](https://www.reddit.com/r/neoliberal/comments/1n1l9sy/the_evidence_that_ai_is_destroying_jobs_for_young/)
38.  [https://www.nature.com/articles/s41598-025-99119-0](https://www.nature.com/articles/s41598-025-99119-0)
39.  [https://softwareoasis.com/growth-in-ai-job-postings/](https://softwareoasis.com/growth-in-ai-job-postings/)
40.  [https://hirebee.ai/blog/ai-in-hr-statistics/](https://hirebee.ai/blog/ai-in-hr-statistics/)
41.  [https://www.munichre.com/us-life/en/insights/best-practices/the-ongoing-great-resignation-and-its-impact-on-employee-benefits.html](https://www.munichre.com/us-life/en/insights/best-practices/the-ongoing-great-resignation-and-its-impact-on-employee-benefits.html)
42.  [https://reports.weforum.org/docs/WEF\_Future\_of\_Jobs\_Report\_2025.pdf](https://reports.weforum.org/docs/WEF_Future_of_Jobs_Report_2025.pdf)
43.  [https://www.ijrrjournal.com/IJRR\_Vol.11\_Issue.9\_Sep2024/IJRR06.pdf](https://www.ijrrjournal.com/IJRR_Vol.11_Issue.9_Sep2024/IJRR06.pdf)
44.  [https://www.bamboohr.com/resources/guides/turnover-benchmarks](https://www.bamboohr.com/resources/guides/turnover-benchmarks)
45.  [https://www.bls.gov/charts/state-job-openings-and-labor-turnover/state-quits-rates.htm](https://www.bls.gov/charts/state-job-openings-and-labor-turnover/state-quits-rates.htm)
46.  [https://www.inspirus.com/blog/employee-turnover-statistics/](https://www.inspirus.com/blog/employee-turnover-statistics/)
47.  [https://tradingeconomics.com/united-states/job-quits-rate](https://tradingeconomics.com/united-states/job-quits-rate)
48.  [https://www.bls.gov/news.release/jolts.nr0.htm](https://www.bls.gov/news.release/jolts.nr0.htm)
49.  [https://www.bls.gov/news.release/jolts.t04.htm](https://www.bls.gov/news.release/jolts.t04.htm)
50.  [https://www.imercer.com/articleinsights/workforce-turnover-trends](https://www.imercer.com/articleinsights/workforce-turnover-trends)
51.  [https://fred.stlouisfed.org/tags/series?t=jolts%3Bquits](https://fred.stlouisfed.org/tags/series?t=jolts%3Bquits)
52.  [https://fred.stlouisfed.org/series/JTSQUR](https://fred.stlouisfed.org/series/JTSQUR)
53.  [https://www.apollotechnical.com/employee-retention-statistics/](https://www.apollotechnical.com/employee-retention-statistics/)
54.  [https://tradingeconomics.com/united-states/job-quits](https://tradingeconomics.com/united-states/job-quits)
55.  [https://www.bls.gov/opub/btn/archive/](https://www.bls.gov/opub/btn/archive/)
56.  [https://www.bls.gov/opub/ted/2024/annual-average-rate-of-job-openings-5-7-percent-in-2023-compared-to-6-8-percent-in-2022.htm](https://www.bls.gov/opub/ted/2024/annual-average-rate-of-job-openings-5-7-percent-in-2023-compared-to-6-8-percent-in-2022.htm)
57.  [https://www.epi.org/indicators/jolts/](https://www.epi.org/indicators/jolts/)
58.  [https://ssti.org/tags/labor-force](https://ssti.org/tags/labor-force)
59.  [https://wealthcreationmastermind.com/blog/the-dawn-of-automation-a-historical-perspective/](https://wealthcreationmastermind.com/blog/the-dawn-of-automation-a-historical-perspective/)
60.  [https://www.htrends.com/trends-detail-sid-81135.html](https://www.htrends.com/trends-detail-sid-81135.html)
61.  [https://www.weforum.org/stories/2020/09/short-history-jobs-automation/](https://www.weforum.org/stories/2020/09/short-history-jobs-automation/)
62.  [https://lightcast.io/resources/blog/the-slowdown-in-job-churn-explained-and-visualized](https://lightcast.io/resources/blog/the-slowdown-in-job-churn-explained-and-visualized)
63.  [https://www.mckinsey.com/featured-insights/future-of-work/what-can-history-teach-us-about-technology-and-jobs](https://www.mckinsey.com/featured-insights/future-of-work/what-can-history-teach-us-about-technology-and-jobs)
64.  [https://www.epi.org/publication/ai-unbalanced-labor-markets/](https://www.epi.org/publication/ai-unbalanced-labor-markets/)
65.  [https://workingnation.com/ai-jobs-work-disruption-automation/](https://workingnation.com/ai-jobs-work-disruption-automation/)
66.  [https://www.bls.gov/opub/mlr/2016/article/current-employment-statistics-survey-100-years-of-employment-hours-and-earnings.htm](https://www.bls.gov/opub/mlr/2016/article/current-employment-statistics-survey-100-years-of-employment-hours-and-earnings.htm)
67.  [https://www.weforum.org/publications/the-future-of-jobs-report-2023/digest/](https://www.weforum.org/publications/the-future-of-jobs-report-2023/digest/)
68.  [https://www.ey.com/en\_us/ai/past-tech-disruptions-inform-economic-impact-of-ai](https://www.ey.com/en_us/ai/past-tech-disruptions-inform-economic-impact-of-ai)
69.  [https://www.bls.gov/opub/mlr/2015/article/evaluation-of-bls-employment-labor-force-and-macroeconomic-projections.htm](https://www.bls.gov/opub/mlr/2015/article/evaluation-of-bls-employment-labor-force-and-macroeconomic-projections.htm)
70.  [https://institute.global/insights/economic-prosperity/the-impact-of-ai-on-the-labour-market](https://institute.global/insights/economic-prosperity/the-impact-of-ai-on-the-labour-market)
71.  [https://papers.ssrn.com/sol3/Delivery.cfm/5366544.pdf?abstractid=5366544&mirid=1](https://papers.ssrn.com/sol3/Delivery.cfm/5366544.pdf?abstractid=5366544&mirid=1)
72.  [https://research.upjohn.org/cgi/viewcontent.cgi?article=1216&context=up\_workingpapers](https://research.upjohn.org/cgi/viewcontent.cgi?article=1216&context=up_workingpapers)
73.  [https://www.chicagobooth.edu/review/ai-is-going-disrupt-labor-market-it-doesnt-have-destroy-it](https://www.chicagobooth.edu/review/ai-is-going-disrupt-labor-market-it-doesnt-have-destroy-it)
74.  [https://ppl-ai-code-interpreter-files.s3.amazonaws.com/web/direct-files/d790f09047381ee6618183128d2345ec/66f01e2d-2746-4569-9a40-4e56f5ea94fc/cfe34685.csv](https://ppl-ai-code-interpreter-files.s3.amazonaws.com/web/direct-files/d790f09047381ee6618183128d2345ec/66f01e2d-2746-4569-9a40-4e56f5ea94fc/cfe34685.csv)
75.  [https://ppl-ai-code-interpreter-files.s3.amazonaws.com/web/direct-files/d790f09047381ee6618183128d2345ec/66f01e2d-2746-4569-9a40-4e56f5ea94fc/63c3da83.csv](https://ppl-ai-code-interpreter-files.s3.amazonaws.com/web/direct-files/d790f09047381ee6618183128d2345ec/66f01e2d-2746-4569-9a40-4e56f5ea94fc/63c3da83.csv)

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This essay is part of the research foundation for [**The Theory of Recursive Displacement**](/the-theory-of-recursive-displacement/) — a unified framework examining how AI-driven automation reshapes labor markets, capital flows, governance structures, and human economic agency. Read the full theory for the complete analysis.