# Historical Job Churn Rates: Before AI vs. Since AI Introduction *Historical Job Churn Rates : Before AI vs. Since AI Introduction* > Dispatch №015 · By Tyler Maddox · November 3, 2025 · 5 min read > Canonical: https://tylermaddox.info/articles/historical-job-churn-rates-before-ai-vs-since-ai-introduction/ > 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](/articles/are-we-entering-a-new-era-of-job-instability-due-to-ai/) 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, 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:\[1\]\[2\]\[4\] **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.\[2\]\[3\]\[1\] 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 ![](data:image/svg+xml;base64,PHN2ZyB3aWR0aD0iMSIgaGVpZ2h0PSIxIiB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciPjwvc3ZnPg==) **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%. Even the 2019 peak of 2.4% - which set records at the time - represented [organic economic growth](https://www.nber.org/papers/w33323) rather than technological disruption.\[5\]\[6\] **Contradicting Automation Anxiety**: This period of stability occurred despite widespread fears about robots and automation destroying jobs. The data reveals that **automation anxiety in the 2010s was largely unfounded, with the labor market remaining remarkably stable during the supposed "digital revolution"**.\[1\]\[3\]\[7\] ![](data:image/svg+xml;base64,PHN2ZyB3aWR0aD0iMSIgaGVpZ2h0PSIxIiB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciPjwvc3ZnPg==) ## 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.\[11\]\[8\] ## 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](/articles/will-economic-growth-decouple-completely-from-human-labor-by-2030/) 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.\[11\]\[14\]\[15\] ## 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.\[19\] **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. 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](/articles/pulling-up-the-ladder-how-ai-is-creating-systemic-barriers-to-entry-level-career-access/) like customer service, finance, and technology experiencing disproportionate effects.\[8\]\[11\]\[15\] 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. Sources \[1\] A data-driven case that AI has already changed the U.S. labor market https://forklightning.substack.com/p/a-data-driven-case-that-ai-has-already \[2\] \[PDF\] NBER WORKING PAPER SERIES TECHNOLOGICAL DISRUPTION … https://www.nber.org/system/files/working\_papers/w33323/w33323.pdf \[3\] \[PDF\] Technological Disruption in the US Labor Market https://www.economicstrategygroup.org/wp-content/uploads/2024/10/Deming-Ong-Summers-AESG-2024.pdf \[4\] Is AI already shaking up labor market? - Harvard Gazette https://news.harvard.edu/gazette/story/2025/02/is-ai-already-shaking-up-labor-market-a-i-artificial-intelligence/ \[5\] Workers quit their jobs at the fastest rate on record in 2019 - CNBC https://www.cnbc.com/2020/01/07/workers-quit-their-jobs-at-the-fastest-rate-on-record-in-2019.html \[6\] Job openings, hires, and quits set record highs in 2019 https://www.bls.gov/opub/mlr/2020/article/job-openings-hires-and-quits-set-record-highs-in-2019.htm \[7\] 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 \[8\] AI is leading to thousands of job losses, report finds - CBS News https://www.cbsnews.com/news/ai-jobs-layoffs-us-2025/ \[9\] Predicting Employee Churn with AI-Driven Analytics - HRBrain.ai https://hrbrain.ai/blog/predicting-employee-churn-with-ai-driven-analytics/ \[10\] Table 22. Annual average quits rates by industry and region, not … https://www.bls.gov/news.release/jolts.t22.htm \[11\] Incorporating AI impacts in BLS employment projections https://www.bls.gov/opub/mlr/2025/article/incorporating-ai-impacts-in-bls-employment-projections.htm \[12\] History of Labor Turnover in the U.S. - EH.net https://eh.net/encyclopedia/history-of-labor-turnover-in-the-u-s/ \[13\] Sam Altman Says AI Will Speed up Job Turnover, Hit Service Roles … https://www.businessinsider.com/sam-altman-says-ai-will-speed-up-job-turnover-hit-service-roles-first-2025-9 \[14\] 59 AI Job Statistics: Future of U.S. Jobs | National University https://www.nu.edu/blog/ai-job-statistics/ \[15\] 50 NEW Artificial Intelligence Statistics (July 2025) - Exploding Topics https://explodingtopics.com/blog/ai-statistics \[16\] The Great Transit: From Resignation to the Big Stay in an AI … https://www.e-spincorp.com/great-resignation-to-big-stay-ai-future-of-work/ \[17\] The Impact Of Artificial Intelligence On The Great Resignation https://www.greenlight.ai/resources/the-impact-of-artificial-intelligence-on-the-great-resignation/ \[18\] 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/ \[19\] The Next Great Resignation Could Dwarf the Last, Thanks to AI https://tech.co/news/great-resignation-ai \[20\] \[PDF\] 2020 RETENTION REPORT - Work Institute https://info.workinstitute.com/hubfs/2020%20Retention%20Report/Work%20Institutes%202020%20Retention%20Report.pdf \[21\] 38+ Employee Turnover Stats (2024-2027) - Exploding Topics https://explodingtopics.com/blog/employee-turnover-statistics * * * 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.