{"id":700775,"date":"2026-10-22T07:59:46","date_gmt":"2026-10-22T11:59:46","guid":{"rendered":"https:\/\/alpha.pewresearch.org\/pewresearch-org\/?post_type=short-read&#038;p=700775"},"modified":"2026-10-22T08:02:06","modified_gmt":"2026-10-22T12:02:06","slug":"men-are-experiencing-more-job-growth-than-women-in-ai-exposed-occupations","status":"publish","type":"short-read","link":"https:\/\/alpha.pewresearch.org\/pewresearch-org\/short-reads\/2026\/10\/22\/men-are-experiencing-more-job-growth-than-women-in-ai-exposed-occupations\/","title":{"rendered":"Men Are Experiencing More Job Growth Than Women in AI-Exposed Occupations"},"content":{"rendered":"\n<figure class=\"wp-block-image size-640-wide\"><a href=\"https:\/\/alpha.pewresearch.org\/pewresearch-org\/?attachment_id=703202\"><img data-dominant-color=\"929392\" data-has-transparency=\"false\" style=\"--dominant-color: #929392;\" loading=\"lazy\" decoding=\"async\"  srcset=\"https:\/\/alpha.pewresearch.org\/pewresearch-org\/wp-content\/uploads\/sites\/20\/2026\/10\/ST_26.10.22_AspenGender_featured@2x_c7d5fb.png?resize=480,270 480w, https:\/\/alpha.pewresearch.org\/pewresearch-org\/wp-content\/uploads\/sites\/20\/2026\/10\/ST_26.10.22_AspenGender_featured@2x_c7d5fb.png?resize=782,440 782w, https:\/\/alpha.pewresearch.org\/pewresearch-org\/wp-content\/uploads\/sites\/20\/2026\/10\/ST_26.10.22_AspenGender_featured@2x_c7d5fb.png?resize=960,540 960w, https:\/\/alpha.pewresearch.org\/pewresearch-org\/wp-content\/uploads\/sites\/20\/2026\/10\/ST_26.10.22_AspenGender_featured@2x_c7d5fb.png?resize=1200,675 1200w, https:\/\/alpha.pewresearch.org\/pewresearch-org\/wp-content\/uploads\/sites\/20\/2026\/10\/ST_26.10.22_AspenGender_featured@2x_c7d5fb.png?resize=1280,720 1280w\" sizes=\"(max-width: 480px) 480px, (max-width: 782px) 782px, 640px\" height=\"360\" width=\"640\" src=\"https:\/\/alpha.pewresearch.org\/pewresearch-org\/wp-content\/uploads\/sites\/20\/2026\/10\/ST_26.10.22_AspenGender_featured@2x_c7d5fb.png?w=640\" alt=\"Stock photo of a woman talking with two male programmers.\" class=\"wp-image-703202 not-transparent\"\/><\/a><figcaption class=\"wp-element-caption\">(Tom Werner via Getty Images)<\/figcaption><\/figure>\n\n\n\n<p class=\"wp-block-paragraph\">Artificial intelligence is <a href=\"https:\/\/www.gallup.com\/workplace\/704225\/rising-adoption-spurs-workforce-changes.aspx\">transforming U.S. workplaces<\/a>. AI chatbots like ChatGPT and Claude are bringing new efficiencies to certain work tasks and <a href=\"https:\/\/digitaleconomy.stanford.edu\/publication\/canaries-in-the-coal-mine-six-facts-about-the-recent-employment-effects-of-artificial-intelligence\/\">automating others<\/a>. These technologies are still relatively new, and it\u2019s <a href=\"https:\/\/libertystreeteconomics.newyorkfed.org\/2026\/05\/do-job-postings-show-early-labor-market-effects-of-ai\/\">too early to tell if they will lead to job loss or job growth<\/a> in the long run. But there are early signs of a gender gap: <strong>Employment growth has been slower for women than for men in occupations with more exposure to AI.<\/strong><\/p>\n\n\n<div class=\"alignright wp-block-prc-chart-builder-synced-chart\"><figure class=\"wp-chart-builder\">\t\t<div style=\"max-width:420px\" class=\"wp-chart-builder-wrapper alignnone wp-block-prc-chart-builder-controller\" id=\"f4658edf-fae3-4392-847f-87ed74837ee9\" data-wp-interactive=\"prc-chart-builder\/controller\" data-wp-context=\"{&quot;id&quot;:&quot;f4658edf-fae3-4392-847f-87ed74837ee9&quot;,&quot;postId&quot;:700775,&quot;postUrl&quot;:&quot;https:\\\/\\\/alpha.pewresearch.org\\\/pewresearch-org\\\/short-reads\\\/2026\\\/10\\\/22\\\/men-are-experiencing-more-job-growth-than-women-in-ai-exposed-occupations\\\/&quot;,&quot;chartPostUrl&quot;:&quot;https:\\\/\\\/alpha.pewresearch.org\\\/pewresearch-org\\\/chart\\\/the-gap-between-mens-and-womens-employment-growth-widens-as-ai-exposure-rises\\\/&quot;,&quot;postPubDate&quot;:&quot;2026-10-22&quot;,&quot;rootUrl&quot;:&quot;https:\\\/\\\/alpha.pewresearch.org\\\/pewresearch-org&quot;,&quot;featuredImageId&quot;:703570,&quot;featuredImageUrl&quot;:&quot;https:\\\/\\\/alpha.pewresearch.org\\\/pewresearch-org\\\/wp-content\\\/uploads\\\/sites\\\/20\\\/2026\\\/10\\\/the_gap_between_mens_and_womens_employment_growth_widens_as_ai_exposure_rises-582967-1792670418.png&quot;,&quot;title&quot;:&quot;The gap between men\\u2019s and women\\u2019s employment growth widens as AI exposure rises&quot;,&quot;subtitle&quot;:&quot;Employment growth for men and women, for each 1-point increase in AI exposure (2017-19 to 2023-26)&quot;,&quot;note&quot;:&quot;Note: Estimates compare 2017-19 with January 2023-June 2026. The years 2020-22 are excluded.&quot;,&quot;source&quot;:&quot;Source: Pew Research Center analysis of O*NET (Version 30.3) and Current Population Survey basic monthly files 2017-19 and January 2023-June 2026.&quot;,&quot;tag&quot;:&quot;PEW RESEARCH CENTER&quot;,&quot;tableData&quot;:{&quot;header&quot;:[&quot;AI exposure score&quot;,&quot;Men&quot;,&quot;Women&quot;,&quot;Total&quot;],&quot;rows&quot;:[[&quot;0&quot;,&quot;-4.9&quot;,&quot;-0.1&quot;,&quot;-2.55&quot;],[&quot;3.5&quot;,&quot;17.8&quot;,&quot;0.5&quot;,&quot;9.3&quot;]],&quot;footer&quot;:[]},&quot;isFreeformChart&quot;:false}\" data-wp-init---detect-web-share-support=\"callbacks.detectWebShareSupport\" data-wp-init---sync-table-height=\"callbacks.syncTableHeight\" data-wp-init---watch-chart=\"callbacks.watchChart\" data-wp-init---reset-tab-on-navigation=\"callbacks.resetTabOnNavigation\" data-png-url=\"https:\/\/alpha.pewresearch.org\/pewresearch-org\/wp-content\/uploads\/sites\/20\/2026\/10\/the_gap_between_mens_and_womens_employment_growth_widens_as_ai_exposure_rises-582967-1792670418.png\" data-has-csv=\"true\" data-allow-data-download=\"true\" data-post-url=\"https:\/\/alpha.pewresearch.org\/pewresearch-org\/short-reads\/2026\/10\/22\/men-are-experiencing-more-job-growth-than-women-in-ai-exposed-occupations\/\" data-chart-url=\"https:\/\/alpha.pewresearch.org\/pewresearch-org\/chart\/the-gap-between-mens-and-womens-employment-growth-widens-as-ai-exposure-rises\/\" data-chart-title=\"The gap between men\u2019s and women\u2019s employment growth widens as AI exposure rises\">\n\t\t\t<div class=\"wp-chart-builder-chart\" data-chart-view=\"chart\" data-allow-overlay=\"true\" data-wp-class--active=\"state.isActive\">\n\t\t\t\t<div class=\"wp-chart-builder-inner wp-block-prc-chart-builder-chart\" id=\"chart-block-2\" data-wp-key=\"f4658edf-fae3-4392-847f-87ed74837ee9-chart\" data-wp-interactive=\"prc-chart-builder\/chart\" data-prc-chart-id=\"f4658edf-fae3-4392-847f-87ed74837ee9-chart\" data-wp-context=\"{&quot;id&quot;:&quot;f4658edf-fae3-4392-847f-87ed74837ee9-chart&quot;}\" data-wp-watch---init-render=\"callbacks.watchForRender\" data-wp-watch---sync-navigation=\"callbacks.syncOnNavigation\" data-wp-on-window--resize=\"callbacks.watchForResize\">\n\t\t\t\t\t<div class=\"cb__text-wrapper\" style=\"max-width:420px;width:100%;margin-left:auto;margin-right:auto;\">\n\t\t\t\t\t\t<hr class=\"cb__hr\" style=\"margin: 0 0 10px; max-width:420px;\" \/>\n\t\t\t\t\t\t<div class=\"cb__title\" data-meta-field=\"title\">The gap between men\u2019s and women\u2019s employment growth widens as AI exposure rises<\/div>\n\t\t\t\t\t\t<div class=\"cb__subtitle\" data-meta-field=\"subtitle\">Employment growth for men and women, for each 1-point increase in AI exposure (2017-19 to 2023-26)<\/div>\n\t\t\t\t\t\t<div id=\"f4658edf-fae3-4392-847f-87ed74837ee9-chart\"><img decoding=\"async\" src=\"https:\/\/alpha.pewresearch.org\/pewresearch-org\/wp-content\/uploads\/sites\/20\/2026\/10\/the_gap_between_mens_and_womens_employment_growth_widens_as_ai_exposure_rises-582967-1792670418.png\" alt=\"Chart\" class=\"chart-fallback chart-fallback--png\" style=\"width:420px;height:auto;\" \/><\/div>\n\t\t\t\t\t\t\n\t\t\t\t\t\t<div class=\"cb__note cb__note--note\" data-meta-field=\"note\">Note: Estimates compare 2017-19 with January 2023-June 2026. The years 2020-22 are excluded.<\/div>\n\t\t\t\t\t\t<div class=\"cb__note cb__note--source\" data-meta-field=\"source\">Source: Pew Research Center analysis of O*NET (Version 30.3) and Current Population Survey basic monthly files 2017-19 and January 2023-June 2026.<\/div>\n\t\t\t\t\t\t<div class=\"cb__tag\" data-meta-field=\"tag\">PEW RESEARCH CENTER<\/div>\n\t\t\t\t\t\t<hr class=\"cb__hr\" style=\"margin: 10px 0 0; max-width:420px;\" \/>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\t\t\t<!-- register a callback on this div to see if the native share is supported -->\n\t\t\t<div\n\t\t\t\tclass=\"share-modal__overlay\"\n\t\t\t\tid=\"share-modal__overlay-f4658edf-fae3-4392-847f-87ed74837ee9\"\n\t\t\t\tdata-wp-class--active=\"state.isActive\"\n\t\t\t\tdata-wp-class--web-share-supported=\"state.webShareSupported\"\n\t\t\t\tdata-wp-on--click=\"actions.hideModal\"\n\t\t\t\tdata-wp-on--keydown=\"actions.hideModal\"\n\t\t\t\tdata-chart-view=\"share\"\n\t\t\t><\/div>\n\t\t\t<!-- TODO: I would like to be able to use the social share block here. Need to modify it to work with the share modal. -->\n\t\t\t<div\n\t\t\t\tclass=\"share-modal\" id=\"share-modal-f4658edf-fae3-4392-847f-87ed74837ee9\"\n\t\t\t\tdata-wp-class--active=\"state.isActive\"\n\t\t\t\tdata-wp-class--web-share-supported=\"state.webShareSupported\"\n\t\t\t\tdata-chart-view=\"share\"\n\t\t\t>\n\t\t\t\t<div class=\"share-modal__inner\">\n\t\t\t\t\t<div class=\"share-modal__header\">\n\t\t\t\t\t\t<h2 class=\"share-modal__title\">Share this chart<\/h2>\n\t\t\t\t\t\t<button class=\"share-modal__close\" aria-label=\"Close Share Modal\" data-wp-on--click=\"actions.hideModal\">\n\t\t\t\t\t\t\t<span class=\"dashicons dashicons-no-alt\"><\/span>\n\t\t\t\t\t\t<\/button>\n\t\t\t\t\t<\/div>\n\t\t\t\t\t<div class=\"share-modal__body\">\n\t\t\t\t\t\t<button\n\t\t\t\t\t\t\ttype=\"button\"\n\t\t\t\t\t\t\tclass=\"share-modal__button share-modal__button--twitter\"\n\t\t\t\t\t\t\tdata-wp-on--click=\"actions.shareTwitter\"\n\t\t\t\t\t\t\tdata-wp-on--keydown=\"actions.shareTwitter\"\n\t\t\t\t\t\t>\n\t\t\t\t\t\t\t<span>Share on X<\/span>\n\t\t\t\t\t\t<\/button>\n\t\t\t\t\t\t<button\n\t\t\t\t\t\t\ttype=\"button\"\n\t\t\t\t\t\t\tclass=\"share-modal__button share-modal__button--facebook\"\n\t\t\t\t\t\t\tdata-wp-on--click=\"actions.shareFacebook\"\n\t\t\t\t\t\t\tdata-wp-on--keydown=\"actions.shareFacebook\"\n\t\t\t\t\t\t>\n\t\t\t\t\t\t\t<span>Share on Facebook<\/span>\n\t\t\t\t\t\t<\/button>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t<\/div>\n\t\t\t\t<\/div><div class=\"wp-chart-builder-table\" data-chart-view=\"table\" data-wp-class--active=\"state.isActive\" id=\"f4658edf-fae3-4392-847f-87ed74837ee9-table\" style=\"max-width:420px;\">\t\t\t<hr style=\"margin: 0px 0px 10px; max-width: 420px;\">\n\t\t\t<div data-wp-interactive=\"prc-chart-builder\/chart\" data-wp-context=\"{&quot;id&quot;:&quot;f4658edf-fae3-4392-847f-87ed74837ee9-chart&quot;}\">\n\t\t\t\t<div class=\"cb__title\" data-meta-field=\"title\">The gap between men\u2019s and women\u2019s employment growth widens as AI exposure rises<\/div>\n\t\t\t\t<div class=\"cb__subtitle\" data-meta-field=\"subtitle\">Employment growth for men and women, for each 1-point increase in AI exposure (2017-19 to 2023-26)<\/div>\n\t\t\t<\/div>\n\t\t\t<div class=\"wp-chart-builder-table__inner\" style=\"max-width: 420px !important; margin-bottom: 0; overflow: auto;\">\n\t\t\t\t\n<figure class=\"wp-block-prc-block-table is-scroll-on-pc is-scroll-on-mobile chart-builder-data-table has-sans-serif-font-family has-small-font-size\"><table class=\"has-fixed-layout is-sticky-first-column\"><colgroup><col\/><col\/><col\/><col\/><\/colgroup><thead><tr><th>AI exposure score<\/th><th>Men<\/th><th>Women<\/th><th>Total<\/th><\/tr><\/thead><tbody><tr><td data-prc-v-col=\"0\">0<\/td><td data-prc-v-col=\"1\">-4.9<\/td><td data-prc-v-col=\"2\">-0.1<\/td><td data-prc-v-col=\"3\">-2.55<\/td><\/tr><tr><td data-prc-v-col=\"0\">3.5<\/td><td data-prc-v-col=\"1\">17.8<\/td><td data-prc-v-col=\"2\">0.5<\/td><td data-prc-v-col=\"3\">9.3<\/td><\/tr><\/tbody><\/table><\/figure>\n\t\t\t<\/div>\n\t\t\t\t\t\t<hr class=\"cb__download-data-button-hr\">\n\t\t\t<div class=\"cb__download-data-button\">\n\t\t\t\t<a\n\t\t\t\t\tdata-wp-on--click=\"actions.downloadData\"\n\t\t\t\t\tdata-wp-on--keydown=\"actions.downloadData\"\n\t\t\t\t\ttabindex=\"0\"\n\t\t\t\t\trole=\"button\"\n\t\t\t\t\tclass=\"has-sans-serif-font-family\"\n\t\t\t\t>\n\t\t\t\t\tDownload data as .csv\n\t\t\t\t<\/a>\n\t\t\t<\/div>\n\t\t\t\t\t\t\t\t\t<div data-wp-interactive=\"prc-chart-builder\/chart\" data-wp-context=\"{&quot;id&quot;:&quot;f4658edf-fae3-4392-847f-87ed74837ee9-chart&quot;}\">\n\t\t\t\t<div class=\"cb__note cb__note--note\" data-meta-field=\"note\">Note: Estimates compare 2017-19 with January 2023-June 2026. The years 2020-22 are excluded.<\/div>\n\t\t\t\t<div class=\"cb__note cb__note--source\" data-meta-field=\"source\">Source: Pew Research Center analysis of O*NET (Version 30.3) and Current Population Survey basic monthly files 2017-19 and January 2023-June 2026.<\/div>\n\t\t\t\t<div class=\"cb__tag\" data-meta-field=\"tag\">PEW RESEARCH CENTER<\/div>\n\t\t\t<\/div>\n\t\t\t<hr style=\"margin: 10px 0px 0px; max-width: 420px;\">\n\t\t\t<\/div><div class=\"wp-chart-builder-view-buttons\" style=\"max-width:420px;\"><div class=\"wp-chart-builder-view-buttons__tabs\"><button class=\"view-button view-button--chart\" data-chart-view=\"chart\" data-chart-id=\"f4658edf-fae3-4392-847f-87ed74837ee9\" data-wp-on--click=\"actions.setActiveTab\" data-wp-class--active=\"state.isActive\">Chart<\/button><button class=\"view-button view-button--table\" data-chart-view=\"table\" data-chart-id=\"f4658edf-fae3-4392-847f-87ed74837ee9\" data-wp-on--click=\"actions.setActiveTab\" data-wp-class--active=\"state.isActive\">Data<\/button><\/div><div class=\"wp-chart-builder-view-buttons__actions\"><button class=\"view-button view-button--download-image\" data-chart-id=\"f4658edf-fae3-4392-847f-87ed74837ee9\" data-wp-on--click=\"actions.downloadImage\">Download Image<\/button><button class=\"view-button view-button--share\" data-chart-view=\"share\" data-chart-id=\"f4658edf-fae3-4392-847f-87ed74837ee9\" data-wp-on--click=\"actions.setActiveTab\" data-wp-class--active=\"state.isActive\">Share<\/button><\/div><\/div>\t\t<\/div>\n\t\t<\/figure><\/div>\n\n\n<p class=\"wp-block-paragraph\">We measured employment growth for men and for women in occupations with different levels of exposure to AI, based on government data. We compared the years before generative AI became widely available (2017-19) to the years since (2023-26).<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Employment growth is the percent change in the number of people employed in an occupation. Within each occupation, we compared growth for men to growth for women. We did not compare occupations to each other, and we are not suggesting some occupations are inherently \u201cmen&#8217;s work\u201d or \u201cwomen&#8217;s work.\u201d<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">AI exposure measures how much AI can do or help with the tasks required in a particular occupation.<\/p>\n\n\n\n<details class=\"wp-block-details is-style-plus-icon has-border-color has-ui-gray-light-border-color has-ui-beige-very-light-background-color has-background has-sans-serif-font-family is-layout-flow wp-container-core-details-is-layout-4031d49d wp-block-details-is-layout-flow\" style=\"border-width:1px;padding-top:var(--wp--preset--spacing--20);padding-right:var(--wp--preset--spacing--30);padding-bottom:var(--wp--preset--spacing--20);padding-left:var(--wp--preset--spacing--30);font-size:clamp(0.875em, 0.875rem + ((1vw - 0.2em) * 0.009), 0.88em);\"><summary>About this research<\/summary>\n<p class=\"wp-block-paragraph\">Much of the public conversation about artificial intelligence (AI) and work has focused on whether jobs will disappear. But employment in occupations that are the most exposed to AI has grown, not shrunk. This Pew Research Center analysis asks a different question: How has job growth differed by gender and education?<\/p>\n\n\n\n<h4 id=\"why-did-we-do-this\" class=\"wp-block-heading\">Why did we do this?<\/h4>\n\n\n\n<p class=\"wp-block-paragraph\">Pew Research Center does high-quality research to inform the public, journalists and decision-makers. This research builds on our previous work on <a href=\"https:\/\/alpha.pewresearch.org\/pewresearch-org\/social-trends\/2023\/07\/26\/which-u-s-workers-are-more-exposed-to-ai-on-their-jobs\/\">the impact of AI on jobs<\/a> and <a href=\"https:\/\/alpha.pewresearch.org\/pewresearch-org\/short-reads\/2025\/10\/06\/about-1-in-5-us-workers-now-use-ai-in-their-job-up-since-last-year\/\">public attitudes toward AI at work<\/a>.<\/p>\n\n\n\n<h4 id=\"how-did-we-do-this\" class=\"wp-block-heading\">How did we do this?<\/h4>\n\n\n\n<p class=\"wp-block-paragraph\">This analysis used Current Population Survey (CPS) basic monthly files from 2017 through 2019 and January 2023 through June 2026. The years 2020 through 2022 were excluded because the COVID-19 pandemic reshaped employment for reasons unrelated to AI.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">We measured employment using the CPS final weight.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Employment growth refers to the change in the number, not the share, of people employed. Within each occupation, we compared how the number of employed men changed to how the number of employed women changed. We did not compare occupations to each other, and we are not suggesting that any occupation is more suited to one sex.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">The gender gap is the difference between men\u2019s and women\u2019s employment growth within each occupation. We then tested whether that gap is bigger in occupations with more AI exposure.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">We built an exposure score for each occupation by looking at the tasks involved in 480 occupations, whether each task can be performed or assisted by generative AI, and how important the task is to the occupation. The scores are based on data from the Occupational Information Network (O*NET), a U.S. Department of Labor database that describes the tasks people do at work.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Scores range from zero to 3.5. A score of zero does not mean an occupation has no exposure to AI, only that it is the least exposed occupation in our data. Higher scores mean generative AI can do or assist with a larger share of the occupation&#8217;s most important tasks.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Read the <a href=\"https:\/\/alpha.pewresearch.org\/pewresearch-org\/wp-content\/uploads\/sites\/20\/2026\/10\/SR_26.10.22_ai-work-gender_appendix.pdf\" data-type=\"link\" data-id=\"https:\/\/alpha.pewresearch.org\/pewresearch-org\/wp-content\/uploads\/sites\/20\/2026\/10\/SR_26.10.22_ai-work-gender_appendix.pdf\">technical appendix<\/a> for definitions and further details.<\/p>\n<\/details>\n\n\n\n<p class=\"wp-block-paragraph\">From 2017-19 to 2023-26, men saw substantially more job growth than women in occupations with higher AI exposure.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Different occupations have different levels of AI exposure. In construction labor, AI can do very little of the core work, whereas in accounting, it can meaningfully help with much of the work. Occupations with some level of exposure to AI tend to include tasks that involve reading, writing or working with information.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">This analysis finds that <strong>for each 1-point increase in an occupation\u2019s AI exposure score, men&#8217;s employment grew by 6.3%, while<\/strong> <strong>women\u2019s employment barely changed (0.2%).<\/strong><\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Because men\u2019s employment grew steadily with each additional point of AI exposure while women\u2019s barely changed, the gender gap in employment growth widened step by step from the least to the most exposed occupations. Men\u2019s employment grew about 24% more in the most AI-exposed occupations than in the least exposed, while women\u2019s employment growth was about the same across the scale.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">At the low end of the AI exposure scale, the pattern reverses: In the least AI-exposed occupations, women\u2019s employment grew faster than men\u2019s.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">It&#8217;s important to note that the relationship between AI exposure and job growth is not necessarily direct. This analysis compares employment before and after generative AI became widely available, but other changes during this period may have also affected employment.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong><em>Related:<\/em><\/strong> <a href=\"https:\/\/alpha.pewresearch.org\/pewresearch-org\/short-reads\/2026\/10\/16\/the-gender-gap-in-ai\/\"><em>The Gender Gap in AI<\/em><\/a><\/p>\n\n\n\n<h4 id=\"measuring-ai-exposure\" class=\"wp-block-heading\">Measuring AI exposure<\/h4>\n\n\n<div class=\"alignright wp-block-prc-chart-builder-synced-chart\"><figure class=\"wp-chart-builder\">\t\t<div style=\"max-width:420px\" class=\"wp-chart-builder-wrapper alignnone wp-block-prc-chart-builder-controller--freeform wp-block-prc-chart-builder-controller\" id=\"19961495-4a00-4a99-805b-6dae7fb49c75\" data-wp-interactive=\"prc-chart-builder\/controller\" data-wp-context=\"{&quot;id&quot;:&quot;19961495-4a00-4a99-805b-6dae7fb49c75&quot;,&quot;postId&quot;:700775,&quot;postUrl&quot;:&quot;https:\\\/\\\/alpha.pewresearch.org\\\/pewresearch-org\\\/short-reads\\\/2026\\\/10\\\/22\\\/men-are-experiencing-more-job-growth-than-women-in-ai-exposed-occupations\\\/&quot;,&quot;chartPostUrl&quot;:&quot;https:\\\/\\\/alpha.pewresearch.org\\\/pewresearch-org\\\/chart\\\/from-medical-assistants-to-financial-managers-people-in-many-occupations-are-exposed-to-ai\\\/&quot;,&quot;postPubDate&quot;:&quot;2026-10-22&quot;,&quot;rootUrl&quot;:&quot;https:\\\/\\\/alpha.pewresearch.org\\\/pewresearch-org&quot;,&quot;featuredImageId&quot;:703571,&quot;featuredImageUrl&quot;:&quot;https:\\\/\\\/alpha.pewresearch.org\\\/pewresearch-org\\\/wp-content\\\/uploads\\\/sites\\\/20\\\/2026\\\/10\\\/strongfrom_medical_assistants_to_financial_managers_people_in_many_occupations_are_exposed_to_aistrong-592463-1792670422.png&quot;,&quot;title&quot;:&quot;&lt;strong&gt;From medical assistants to financial managers, people in many occupations are exposed to AI&lt;\\\/strong&gt;&quot;,&quot;subtitle&quot;:&quot;Selected occupations by AI exposure score, from lowest to highest&quot;,&quot;note&quot;:&quot;Note: AI exposure scores range from 0 to 3.5. A score of 0 means an occupation is the least exposed in our data, not that it has no tasks that can be done with AI. The occupations shown were selected for size, recognizability and variety of scores.&quot;,&quot;source&quot;:&quot;Source: Pew Research Center analysis of O*NET (Version 30.3) and Current Population Survey basic monthly files 2017-19 and January 2023-June 2026.&quot;,&quot;tag&quot;:&quot;PEW RESEARCH CENTER&quot;,&quot;tableData&quot;:{&quot;header&quot;:[&quot;band&quot;,&quot;exposure_score&quot;,&quot;occ_title&quot;],&quot;rows&quot;:[[&quot;Very low&quot;,&quot;.48927265&quot;,&quot;Driver\\\/Sales Workers and Truck Drivers&quot;],[&quot;Very low&quot;,&quot;.58902788&quot;,&quot;Maids and housekeeping cleaners&quot;],[&quot;Very low&quot;,&quot;.69736123&quot;,&quot;Construction Laborers&quot;],[&quot;Low&quot;,&quot;.80270863&quot;,&quot;Carpenters&quot;],[&quot;Low&quot;,&quot;1.1143751&quot;,&quot;Retail Salespersons&quot;],[&quot;Low&quot;,&quot;1.1379852&quot;,&quot;Nursing, Psychiatric, and Home Health Aides&quot;],[&quot;Medium&quot;,&quot;1.6652086&quot;,&quot;Construction Managers&quot;],[&quot;Medium&quot;,&quot;1.7370141&quot;,&quot;Receptionists and Information Clerks&quot;],[&quot;Medium&quot;,&quot;2.0379853&quot;,&quot;Secretaries and Administrative Assistants&quot;],[&quot;High&quot;,&quot;2.200139&quot;,&quot;Customer Service Representatives&quot;],[&quot;High&quot;,&quot;2.3969126&quot;,&quot;Managers, All Other&quot;],[&quot;High&quot;,&quot;2.4147918&quot;,&quot;Bookkeeping, Accounting, and Auditing Clerks&quot;],[&quot;Very high&quot;,&quot;3.0879862&quot;,&quot;Accountants and Auditors&quot;],[&quot;Very high&quot;,&quot;3.0997052&quot;,&quot;Software Developers, Applications and Systems Software&quot;],[&quot;Very high&quot;,&quot;3.1980789&quot;,&quot;Financial Managers&quot;]],&quot;footer&quot;:[]},&quot;isFreeformChart&quot;:true}\" data-wp-init---detect-web-share-support=\"callbacks.detectWebShareSupport\" data-wp-init---sync-table-height=\"callbacks.syncTableHeight\" data-wp-init---watch-chart=\"callbacks.watchChart\" data-wp-init---reset-tab-on-navigation=\"callbacks.resetTabOnNavigation\" data-png-url=\"https:\/\/alpha.pewresearch.org\/pewresearch-org\/wp-content\/uploads\/sites\/20\/2026\/10\/strongfrom_medical_assistants_to_financial_managers_people_in_many_occupations_are_exposed_to_aistrong-592463-1792670422.png\" data-has-csv=\"true\" data-allow-data-download=\"true\" data-post-url=\"https:\/\/alpha.pewresearch.org\/pewresearch-org\/short-reads\/2026\/10\/22\/men-are-experiencing-more-job-growth-than-women-in-ai-exposed-occupations\/\" data-chart-url=\"https:\/\/alpha.pewresearch.org\/pewresearch-org\/chart\/from-medical-assistants-to-financial-managers-people-in-many-occupations-are-exposed-to-ai\/\" data-chart-title=\"&lt;strong&gt;From medical assistants to financial managers, people in many occupations are exposed to AI&lt;\/strong&gt;\">\n\t\t\t<div class=\"wp-chart-builder-chart\" data-chart-view=\"chart\" data-allow-overlay=\"true\" data-wp-class--active=\"state.isActive\">\t\t\t\t<div class=\"cb__text-wrapper\" style=\"max-width:420px;width:100%;margin-left:auto;margin-right:auto;\">\n\t\t\t\t\t<hr class=\"cb__hr\" style=\"margin: 0 0 10px; max-width:420px;\" \/>\t\t\t\t\t<div data-wp-interactive=\"prc-chart-builder\/chart\" data-wp-context=\"{&quot;id&quot;:&quot;19961495-4a00-4a99-805b-6dae7fb49c75-chart&quot;}\">\n\t\t\t\t\t\t<div class=\"cb__title\" data-meta-field=\"title\"><strong>From medical assistants to financial managers, people in many occupations are exposed to AI<\/strong><\/div>\n\t\t\t\t\t\t<div class=\"cb__subtitle\" data-meta-field=\"subtitle\">Selected occupations by AI exposure score, from lowest to highest<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t\t\n<div class=\"wp-block-group wp-chart-builder-freeform-chart has-global-padding is-layout-constrained wp-block-group-is-layout-constrained\">\n<figure class=\"wp-block-prc-block-table is-scroll-on-pc is-scroll-on-mobile chart-builder-data-table has-sans-serif-font-family has-small-font-size\"><table class=\"has-fixed-layout is-sticky-first-column\" style=\"min-width:25%;width:auto;max-width:100%\"><colgroup><col\/><col\/><col\/><\/colgroup><thead><tr><th style=\"font-size:12px;width:25%;line-height:1.25\">AI exposure<\/th><th style=\"font-size:12px;width:35%;line-height:1.25\">Exposure score<\/th><th style=\"font-size:12px;line-height:1.25\">Occupation<\/th><\/tr><\/thead><tbody><tr><td style=\"font-size:12px;width:25%;line-height:1.25\" data-prc-v-col=\"0\">Very low<\/td><td style=\"font-size:12px;width:35%;line-height:1.25\" data-prc-v-col=\"1\">0.49<\/td><td style=\"font-size:12px;line-height:1.25\" data-prc-v-col=\"2\">Driver\/sales workers and truck drivers<\/td><\/tr><tr><td style=\"font-size:12px;width:25%;line-height:1.25\" data-prc-v-col=\"0\">Very low<\/td><td style=\"font-size:12px;width:35%;line-height:1.25\" data-prc-v-col=\"1\">0.59<\/td><td style=\"font-size:12px;line-height:1.25\" data-prc-v-col=\"2\">Maids and housekeeping cleaners<\/td><\/tr><tr><td style=\"font-size:12px;width:25%;border-bottom-style:solid;border-bottom-width:1px;line-height:1.25\" data-prc-v-col=\"0\">Very low<\/td><td style=\"font-size:12px;width:35%;border-bottom-style:solid;border-bottom-width:1px;line-height:1.25\" data-prc-v-col=\"1\">0.70<\/td><td style=\"font-size:12px;border-bottom-style:solid;border-bottom-width:1px;line-height:1.25\" data-prc-v-col=\"2\">Construction laborers<\/td><\/tr><tr><td style=\"font-size:12px;width:25%;line-height:1.25\" data-prc-v-col=\"0\">Low<\/td><td style=\"font-size:12px;width:35%;line-height:1.25\" data-prc-v-col=\"1\">0.80<\/td><td style=\"font-size:12px;line-height:1.25\" data-prc-v-col=\"2\">Carpenters<\/td><\/tr><tr><td style=\"font-size:12px;width:25%;line-height:1.25\" data-prc-v-col=\"0\">Low<\/td><td style=\"font-size:12px;width:35%;line-height:1.25\" data-prc-v-col=\"1\">1.11<\/td><td style=\"font-size:12px;line-height:1.25\" data-prc-v-col=\"2\"> Retail salespersons<\/td><\/tr><tr><td style=\"font-size:12px;width:25%;border-bottom-width:1px;line-height:1.25\" data-prc-v-col=\"0\">Low<\/td><td style=\"font-size:12px;width:35%;border-bottom-width:1px;line-height:1.25\" data-prc-v-col=\"1\">1.14<\/td><td style=\"font-size:12px;border-bottom-width:1px;line-height:1.25\" data-prc-v-col=\"2\"> Home health aides<\/td><\/tr><tr><td style=\"font-size:12px;width:25%;line-height:1.25\" data-prc-v-col=\"0\">Medium<\/td><td style=\"font-size:12px;width:35%;line-height:1.25\" data-prc-v-col=\"1\">1.54<\/td><td style=\"font-size:12px;line-height:1.25\" data-prc-v-col=\"2\">Medical assistants<\/td><\/tr><tr><td style=\"font-size:12px;width:25%;line-height:1.25\" data-prc-v-col=\"0\">Medium<\/td><td style=\"font-size:12px;width:35%;line-height:1.25\" data-prc-v-col=\"1\">1.64<\/td><td style=\"font-size:12px;line-height:1.25\" data-prc-v-col=\"2\">Tellers<\/td><\/tr><tr><td style=\"font-size:12px;width:25%;border-bottom-width:1px;line-height:1.25\" data-prc-v-col=\"0\">Medium<\/td><td style=\"font-size:12px;width:35%;border-bottom-width:1px;line-height:1.25\" data-prc-v-col=\"1\">1.66<\/td><td style=\"font-size:12px;border-bottom-width:1px;line-height:1.25\" data-prc-v-col=\"2\">Audiologists<\/td><\/tr><tr><td style=\"font-size:12px;width:25%;line-height:1.25\" data-prc-v-col=\"0\">High<\/td><td style=\"font-size:12px;width:35%;line-height:1.25\" data-prc-v-col=\"1\">2.14<\/td><td style=\"font-size:12px;line-height:1.25\" data-prc-v-col=\"2\">Court, municipal and license clerks <\/td><\/tr><tr><td style=\"font-size:12px;width:25%;line-height:1.25\" data-prc-v-col=\"0\">High<\/td><td style=\"font-size:12px;width:35%;line-height:1.25\" data-prc-v-col=\"1\">2.31<\/td><td style=\"font-size:12px;line-height:1.25\" data-prc-v-col=\"2\">Travel agents<\/td><\/tr><tr><td style=\"font-size:12px;width:25%;border-bottom-width:1px;line-height:1.25\" data-prc-v-col=\"0\">High<\/td><td style=\"font-size:12px;width:35%;border-bottom-width:1px;line-height:1.25\" data-prc-v-col=\"1\">2.36<\/td><td style=\"font-size:12px;border-bottom-width:1px;line-height:1.25\" data-prc-v-col=\"2\">Proofreaders and copy markers<\/td><\/tr><tr><td style=\"font-size:12px;width:25%;line-height:1.25\" data-prc-v-col=\"0\">Very high<\/td><td style=\"font-size:12px;width:35%;line-height:1.25\" data-prc-v-col=\"1\">3.09<\/td><td style=\"font-size:12px;line-height:1.25\" data-prc-v-col=\"2\">Accountants and auditors<\/td><\/tr><tr><td style=\"font-size:12px;width:25%;line-height:1.25\" data-prc-v-col=\"0\">Very high<\/td><td style=\"font-size:12px;width:35%;line-height:1.25\" data-prc-v-col=\"1\">3.10<\/td><td style=\"font-size:12px;line-height:1.25\" data-prc-v-col=\"2\">Software developers, applications and systems software<\/td><\/tr><tr><td style=\"font-size:12px;width:25%;line-height:1.25\" data-prc-v-col=\"0\">Very high<\/td><td style=\"font-size:12px;width:35%;line-height:1.25\" data-prc-v-col=\"1\">3.20<\/td><td style=\"font-size:12px;line-height:1.25\" data-prc-v-col=\"2\">Financial managers<\/td><\/tr><\/tbody><\/table><\/figure>\n<\/div>\n\t\t\t\t\t\t\t\t\t\t<div data-wp-interactive=\"prc-chart-builder\/chart\" data-wp-context=\"{&quot;id&quot;:&quot;19961495-4a00-4a99-805b-6dae7fb49c75-chart&quot;}\">\n\t\t\t\t\t\t<div class=\"cb__note cb__note--note\" data-meta-field=\"note\">Note: AI exposure scores range from 0 to 3.5. A score of 0 means an occupation is the least exposed in our data, not that it has no tasks that can be done with AI. The occupations shown were selected for size, recognizability and variety of scores.<\/div>\n\t\t\t\t\t\t<div class=\"cb__note cb__note--source\" data-meta-field=\"source\">Source: Pew Research Center analysis of O*NET (Version 30.3) and Current Population Survey basic monthly files 2017-19 and January 2023-June 2026.<\/div>\n\t\t\t\t\t\t<div class=\"cb__tag\" data-meta-field=\"tag\">PEW RESEARCH CENTER<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t\t<hr class=\"cb__hr\" style=\"margin: 10px 0 0px; max-width:420px;\" \/>\t\t\t\t<\/div>\n\t\t\t\t\t\t\t<!-- register a callback on this div to see if the native share is supported -->\n\t\t\t<div\n\t\t\t\tclass=\"share-modal__overlay\"\n\t\t\t\tid=\"share-modal__overlay-19961495-4a00-4a99-805b-6dae7fb49c75\"\n\t\t\t\tdata-wp-class--active=\"state.isActive\"\n\t\t\t\tdata-wp-class--web-share-supported=\"state.webShareSupported\"\n\t\t\t\tdata-wp-on--click=\"actions.hideModal\"\n\t\t\t\tdata-wp-on--keydown=\"actions.hideModal\"\n\t\t\t\tdata-chart-view=\"share\"\n\t\t\t><\/div>\n\t\t\t<!-- TODO: I would like to be able to use the social share block here. Need to modify it to work with the share modal. -->\n\t\t\t<div\n\t\t\t\tclass=\"share-modal\" id=\"share-modal-19961495-4a00-4a99-805b-6dae7fb49c75\"\n\t\t\t\tdata-wp-class--active=\"state.isActive\"\n\t\t\t\tdata-wp-class--web-share-supported=\"state.webShareSupported\"\n\t\t\t\tdata-chart-view=\"share\"\n\t\t\t>\n\t\t\t\t<div class=\"share-modal__inner\">\n\t\t\t\t\t<div class=\"share-modal__header\">\n\t\t\t\t\t\t<h2 class=\"share-modal__title\">Share this chart<\/h2>\n\t\t\t\t\t\t<button class=\"share-modal__close\" aria-label=\"Close Share Modal\" data-wp-on--click=\"actions.hideModal\">\n\t\t\t\t\t\t\t<span class=\"dashicons dashicons-no-alt\"><\/span>\n\t\t\t\t\t\t<\/button>\n\t\t\t\t\t<\/div>\n\t\t\t\t\t<div class=\"share-modal__body\">\n\t\t\t\t\t\t<button\n\t\t\t\t\t\t\ttype=\"button\"\n\t\t\t\t\t\t\tclass=\"share-modal__button share-modal__button--twitter\"\n\t\t\t\t\t\t\tdata-wp-on--click=\"actions.shareTwitter\"\n\t\t\t\t\t\t\tdata-wp-on--keydown=\"actions.shareTwitter\"\n\t\t\t\t\t\t>\n\t\t\t\t\t\t\t<span>Share on X<\/span>\n\t\t\t\t\t\t<\/button>\n\t\t\t\t\t\t<button\n\t\t\t\t\t\t\ttype=\"button\"\n\t\t\t\t\t\t\tclass=\"share-modal__button share-modal__button--facebook\"\n\t\t\t\t\t\t\tdata-wp-on--click=\"actions.shareFacebook\"\n\t\t\t\t\t\t\tdata-wp-on--keydown=\"actions.shareFacebook\"\n\t\t\t\t\t\t>\n\t\t\t\t\t\t\t<span>Share on Facebook<\/span>\n\t\t\t\t\t\t<\/button>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t<\/div>\n\t\t\t\t<\/div><div class=\"wp-chart-builder-view-buttons\" style=\"max-width:420px;\"><div class=\"wp-chart-builder-view-buttons__tabs\"><button class=\"view-button view-button--chart\" data-chart-view=\"chart\" data-chart-id=\"19961495-4a00-4a99-805b-6dae7fb49c75\" data-wp-on--click=\"actions.setActiveTab\" data-wp-class--active=\"state.isActive\">Chart<\/button><\/div><div class=\"wp-chart-builder-view-buttons__actions\"><button class=\"view-button view-button--download-image\" data-chart-id=\"19961495-4a00-4a99-805b-6dae7fb49c75\" data-wp-on--click=\"actions.downloadImage\">Download Image<\/button><button class=\"view-button view-button--share\" data-chart-view=\"share\" data-chart-id=\"19961495-4a00-4a99-805b-6dae7fb49c75\" data-wp-on--click=\"actions.setActiveTab\" data-wp-class--active=\"state.isActive\">Share<\/button><\/div><\/div>\t\t<\/div>\n\t\t<\/figure><\/div>\n\n\n<p class=\"wp-block-paragraph\">We scored 480 occupations on how exposed each is to generative AI, using ratings from the U.S. Department of Labor&#8217;s <a href=\"https:\/\/www.onetonline.org\/\">Occupational Information Network (O*NET)<\/a> and the <a href=\"https:\/\/www.bls.gov\/cps\/\">Current Population Survey (CPS)<\/a>.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Each occupation received an exposure score ranging from zero to 3.5. A score of zero does not mean an occupation has no exposure to AI. Instead, it means it\u2019s the least exposed occupation in our data.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Higher scores mean generative AI can do or assist with a larger share of the occupation&#8217;s most important tasks.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Occupations with low AI exposure include construction laborers, carpenters, home health aides and retail sales workers. Occupations with high AI exposure include customer service representatives, accountants, software developers and financial managers.<\/p>\n\n\n\n<h4 id=\"differences-by-gender-and-education\" class=\"wp-block-heading\">Differences by gender and education<\/h4>\n\n\n\n<p class=\"wp-block-paragraph\">The gender gap in AI-exposed job growth varies widely by education. <strong>As AI exposure increased, the gap between men\u2019s and women\u2019s employment widened for workers without a bachelor\u2019s degree, but not for those with one.<\/strong><\/p>\n\n\n<div class=\"alignright wp-block-prc-chart-builder-synced-chart\"><figure class=\"wp-chart-builder\">\t\t<div style=\"max-width:310px\" class=\"wp-chart-builder-wrapper alignnone wp-block-prc-chart-builder-controller\" id=\"86cf167e-d000-4df4-8057-1351883c0603\" data-wp-interactive=\"prc-chart-builder\/controller\" data-wp-context=\"{&quot;id&quot;:&quot;86cf167e-d000-4df4-8057-1351883c0603&quot;,&quot;postId&quot;:700775,&quot;postUrl&quot;:&quot;https:\\\/\\\/alpha.pewresearch.org\\\/pewresearch-org\\\/short-reads\\\/2026\\\/10\\\/22\\\/men-are-experiencing-more-job-growth-than-women-in-ai-exposed-occupations\\\/&quot;,&quot;chartPostUrl&quot;:&quot;https:\\\/\\\/alpha.pewresearch.org\\\/pewresearch-org\\\/chart\\\/for-workers-with-a-high-school-diploma-or-less-mens-employment-rose-with-ai-exposure-while-womens-fell\\\/&quot;,&quot;postPubDate&quot;:&quot;2026-10-22&quot;,&quot;rootUrl&quot;:&quot;https:\\\/\\\/alpha.pewresearch.org\\\/pewresearch-org&quot;,&quot;featuredImageId&quot;:703572,&quot;featuredImageUrl&quot;:&quot;https:\\\/\\\/alpha.pewresearch.org\\\/pewresearch-org\\\/wp-content\\\/uploads\\\/sites\\\/20\\\/2026\\\/10\\\/for_workers_with_a_high_school_diploma_or_less_mens_employment_rose_with_ai_exposure_while_womens_fell-585536-1792670427.png&quot;,&quot;title&quot;:&quot;For workers with a high school diploma or less, men\\u2019s employment rose with AI exposure while women\\u2019s fell&quot;,&quot;subtitle&quot;:&quot;Employment growth for men and women, for each 1-point increase in AI exposure, by education level (2017-19 to 2023-26)&quot;,&quot;note&quot;:&quot;Note: Estimates compare 2017-19 with January 2023-June 2026. The years 2020-22 are excluded. Some college includes those with an associate degree and those who attended college but did not obtain a degree.&quot;,&quot;source&quot;:&quot;Source: Pew Research Center analysis of O*NET (Version 30.3) and Current Population Survey basic monthly files 2017-19 and January 2023-June 2026.&quot;,&quot;tag&quot;:&quot;PEW RESEARCH CENTER&quot;,&quot;tableData&quot;:{&quot;header&quot;:[&quot;&quot;,&quot;Women&quot;,&quot;Men&quot;],&quot;rows&quot;:[[&quot;Total&quot;,&quot;.2%&quot;,&quot;6.3%&quot;],[&quot;High school or less&quot;,&quot;-9.5&quot;,&quot;8.8&quot;],[&quot;Some college&quot;,&quot;-6&quot;,&quot;3.6&quot;],[&quot;Bachelor\\u2019s+&quot;,&quot;0.7&quot;,&quot;0.8&quot;]]},&quot;isFreeformChart&quot;:false}\" data-wp-init---detect-web-share-support=\"callbacks.detectWebShareSupport\" data-wp-init---sync-table-height=\"callbacks.syncTableHeight\" data-wp-init---watch-chart=\"callbacks.watchChart\" data-wp-init---reset-tab-on-navigation=\"callbacks.resetTabOnNavigation\" data-png-url=\"https:\/\/alpha.pewresearch.org\/pewresearch-org\/wp-content\/uploads\/sites\/20\/2026\/10\/for_workers_with_a_high_school_diploma_or_less_mens_employment_rose_with_ai_exposure_while_womens_fell-585536-1792670427.png\" data-has-csv=\"true\" data-allow-data-download=\"true\" data-post-url=\"https:\/\/alpha.pewresearch.org\/pewresearch-org\/short-reads\/2026\/10\/22\/men-are-experiencing-more-job-growth-than-women-in-ai-exposed-occupations\/\" data-chart-url=\"https:\/\/alpha.pewresearch.org\/pewresearch-org\/chart\/for-workers-with-a-high-school-diploma-or-less-mens-employment-rose-with-ai-exposure-while-womens-fell\/\" data-chart-title=\"For workers with a high school diploma or less, men\u2019s employment rose with AI exposure while women\u2019s fell\">\n\t\t\t<div class=\"wp-chart-builder-chart\" data-chart-view=\"chart\" data-allow-overlay=\"true\" data-wp-class--active=\"state.isActive\">\n\t\t\t\t<div class=\"wp-chart-builder-inner wp-block-prc-chart-builder-chart\" id=\"chart-block-5\" data-wp-key=\"86cf167e-d000-4df4-8057-1351883c0603-chart\" data-wp-interactive=\"prc-chart-builder\/chart\" data-prc-chart-id=\"86cf167e-d000-4df4-8057-1351883c0603-chart\" data-wp-context=\"{&quot;id&quot;:&quot;86cf167e-d000-4df4-8057-1351883c0603-chart&quot;}\" data-wp-watch---init-render=\"callbacks.watchForRender\" data-wp-watch---sync-navigation=\"callbacks.syncOnNavigation\" data-wp-on-window--resize=\"callbacks.watchForResize\">\n\t\t\t\t\t<div class=\"cb__text-wrapper\" style=\"max-width:310px;width:100%;margin-left:auto;margin-right:auto;\">\n\t\t\t\t\t\t<hr class=\"cb__hr\" style=\"margin: 0 0 10px; max-width:310px;\" \/>\n\t\t\t\t\t\t<div class=\"cb__title\" data-meta-field=\"title\">For workers with a high school diploma or less, men\u2019s employment rose with AI exposure while women\u2019s fell<\/div>\n\t\t\t\t\t\t<div class=\"cb__subtitle\" data-meta-field=\"subtitle\">Employment growth for men and women, for each 1-point increase in AI exposure, by education level (2017-19 to 2023-26)<\/div>\n\t\t\t\t\t\t<div id=\"86cf167e-d000-4df4-8057-1351883c0603-chart\"><img decoding=\"async\" src=\"https:\/\/alpha.pewresearch.org\/pewresearch-org\/wp-content\/uploads\/sites\/20\/2026\/10\/for_workers_with_a_high_school_diploma_or_less_mens_employment_rose_with_ai_exposure_while_womens_fell-585536-1792670427.png\" alt=\"Chart\" class=\"chart-fallback chart-fallback--png\" style=\"width:310px;height:auto;\" \/><\/div>\n\t\t\t\t\t\t\n\t\t\t\t\t\t<div class=\"cb__note cb__note--note\" data-meta-field=\"note\">Note: Estimates compare 2017-19 with January 2023-June 2026. The years 2020-22 are excluded. Some college includes those with an associate degree and those who attended college but did not obtain a degree.<\/div>\n\t\t\t\t\t\t<div class=\"cb__note cb__note--source\" data-meta-field=\"source\">Source: Pew Research Center analysis of O*NET (Version 30.3) and Current Population Survey basic monthly files 2017-19 and January 2023-June 2026.<\/div>\n\t\t\t\t\t\t<div class=\"cb__tag\" data-meta-field=\"tag\">PEW RESEARCH CENTER<\/div>\n\t\t\t\t\t\t<hr class=\"cb__hr\" style=\"margin: 10px 0 0; max-width:310px;\" \/>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\t\t\t<!-- register a callback on this div to see if the native share is supported -->\n\t\t\t<div\n\t\t\t\tclass=\"share-modal__overlay\"\n\t\t\t\tid=\"share-modal__overlay-86cf167e-d000-4df4-8057-1351883c0603\"\n\t\t\t\tdata-wp-class--active=\"state.isActive\"\n\t\t\t\tdata-wp-class--web-share-supported=\"state.webShareSupported\"\n\t\t\t\tdata-wp-on--click=\"actions.hideModal\"\n\t\t\t\tdata-wp-on--keydown=\"actions.hideModal\"\n\t\t\t\tdata-chart-view=\"share\"\n\t\t\t><\/div>\n\t\t\t<!-- TODO: I would like to be able to use the social share block here. Need to modify it to work with the share modal. -->\n\t\t\t<div\n\t\t\t\tclass=\"share-modal\" id=\"share-modal-86cf167e-d000-4df4-8057-1351883c0603\"\n\t\t\t\tdata-wp-class--active=\"state.isActive\"\n\t\t\t\tdata-wp-class--web-share-supported=\"state.webShareSupported\"\n\t\t\t\tdata-chart-view=\"share\"\n\t\t\t>\n\t\t\t\t<div class=\"share-modal__inner\">\n\t\t\t\t\t<div class=\"share-modal__header\">\n\t\t\t\t\t\t<h2 class=\"share-modal__title\">Share this chart<\/h2>\n\t\t\t\t\t\t<button class=\"share-modal__close\" aria-label=\"Close Share Modal\" data-wp-on--click=\"actions.hideModal\">\n\t\t\t\t\t\t\t<span class=\"dashicons dashicons-no-alt\"><\/span>\n\t\t\t\t\t\t<\/button>\n\t\t\t\t\t<\/div>\n\t\t\t\t\t<div class=\"share-modal__body\">\n\t\t\t\t\t\t<button\n\t\t\t\t\t\t\ttype=\"button\"\n\t\t\t\t\t\t\tclass=\"share-modal__button share-modal__button--twitter\"\n\t\t\t\t\t\t\tdata-wp-on--click=\"actions.shareTwitter\"\n\t\t\t\t\t\t\tdata-wp-on--keydown=\"actions.shareTwitter\"\n\t\t\t\t\t\t>\n\t\t\t\t\t\t\t<span>Share on X<\/span>\n\t\t\t\t\t\t<\/button>\n\t\t\t\t\t\t<button\n\t\t\t\t\t\t\ttype=\"button\"\n\t\t\t\t\t\t\tclass=\"share-modal__button share-modal__button--facebook\"\n\t\t\t\t\t\t\tdata-wp-on--click=\"actions.shareFacebook\"\n\t\t\t\t\t\t\tdata-wp-on--keydown=\"actions.shareFacebook\"\n\t\t\t\t\t\t>\n\t\t\t\t\t\t\t<span>Share on Facebook<\/span>\n\t\t\t\t\t\t<\/button>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t<\/div>\n\t\t\t\t<\/div><div class=\"wp-chart-builder-table\" data-chart-view=\"table\" data-wp-class--active=\"state.isActive\" id=\"86cf167e-d000-4df4-8057-1351883c0603-table\" style=\"max-width:310px;\">\t\t\t<hr style=\"margin: 0px 0px 10px; max-width: 310px;\">\n\t\t\t<div data-wp-interactive=\"prc-chart-builder\/chart\" data-wp-context=\"{&quot;id&quot;:&quot;86cf167e-d000-4df4-8057-1351883c0603-chart&quot;}\">\n\t\t\t\t<div class=\"cb__title\" data-meta-field=\"title\">For workers with a high school diploma or less, men\u2019s employment rose with AI exposure while women\u2019s fell<\/div>\n\t\t\t\t<div class=\"cb__subtitle\" data-meta-field=\"subtitle\">Employment growth for men and women, for each 1-point increase in AI exposure, by education level (2017-19 to 2023-26)<\/div>\n\t\t\t<\/div>\n\t\t\t<div class=\"wp-chart-builder-table__inner\" style=\"max-width: 310px !important; margin-bottom: 0; overflow: auto;\">\n\t\t\t\t\n<figure class=\"wp-block-prc-block-table is-scroll-on-pc is-scroll-on-mobile chart-builder-data-table has-sans-serif-font-family has-small-font-size\"><table class=\"has-fixed-layout is-sticky-first-column\"><colgroup><col\/><col\/><col\/><col\/><\/colgroup><thead><tr><th><\/th><th>Women<\/th><th>Men<\/th><th class=\"is-column-hidden\">Grouping<\/th><\/tr><\/thead><tbody><tr><td data-prc-v-col=\"0\">Total<\/td><td data-prc-v-col=\"1\">.2%<\/td><td data-prc-v-col=\"2\">6.3%<\/td><td class=\"is-column-hidden\" data-prc-v-col=\"3\">1<\/td><\/tr><tr><td data-prc-v-col=\"0\">High school or less<\/td><td data-prc-v-col=\"1\">-9.5<\/td><td data-prc-v-col=\"2\">8.8<\/td><td class=\"is-column-hidden\" data-prc-v-col=\"3\">2<\/td><\/tr><tr><td data-prc-v-col=\"0\">Some college<\/td><td data-prc-v-col=\"1\">-6<\/td><td data-prc-v-col=\"2\">3.6<\/td><td class=\"is-column-hidden\" data-prc-v-col=\"3\">2<\/td><\/tr><tr><td data-prc-v-col=\"0\">Bachelor\u2019s+<\/td><td data-prc-v-col=\"1\">0.7<\/td><td data-prc-v-col=\"2\">0.8<\/td><td class=\"is-column-hidden\" data-prc-v-col=\"3\">2<\/td><\/tr><\/tbody><\/table><\/figure>\n\t\t\t<\/div>\n\t\t\t\t\t\t<hr class=\"cb__download-data-button-hr\">\n\t\t\t<div class=\"cb__download-data-button\">\n\t\t\t\t<a\n\t\t\t\t\tdata-wp-on--click=\"actions.downloadData\"\n\t\t\t\t\tdata-wp-on--keydown=\"actions.downloadData\"\n\t\t\t\t\ttabindex=\"0\"\n\t\t\t\t\trole=\"button\"\n\t\t\t\t\tclass=\"has-sans-serif-font-family\"\n\t\t\t\t>\n\t\t\t\t\tDownload data as .csv\n\t\t\t\t<\/a>\n\t\t\t<\/div>\n\t\t\t\t\t\t\t\t\t<div data-wp-interactive=\"prc-chart-builder\/chart\" data-wp-context=\"{&quot;id&quot;:&quot;86cf167e-d000-4df4-8057-1351883c0603-chart&quot;}\">\n\t\t\t\t<div class=\"cb__note cb__note--note\" data-meta-field=\"note\">Note: Estimates compare 2017-19 with January 2023-June 2026. The years 2020-22 are excluded. Some college includes those with an associate degree and those who attended college but did not obtain a degree.<\/div>\n\t\t\t\t<div class=\"cb__note cb__note--source\" data-meta-field=\"source\">Source: Pew Research Center analysis of O*NET (Version 30.3) and Current Population Survey basic monthly files 2017-19 and January 2023-June 2026.<\/div>\n\t\t\t\t<div class=\"cb__tag\" data-meta-field=\"tag\">PEW RESEARCH CENTER<\/div>\n\t\t\t<\/div>\n\t\t\t<hr style=\"margin: 10px 0px 0px; max-width: 310px;\">\n\t\t\t<\/div><div class=\"wp-chart-builder-view-buttons\" style=\"max-width:310px;\"><div class=\"wp-chart-builder-view-buttons__tabs\"><button class=\"view-button view-button--chart\" data-chart-view=\"chart\" data-chart-id=\"86cf167e-d000-4df4-8057-1351883c0603\" data-wp-on--click=\"actions.setActiveTab\" data-wp-class--active=\"state.isActive\">Chart<\/button><button class=\"view-button view-button--table\" data-chart-view=\"table\" data-chart-id=\"86cf167e-d000-4df4-8057-1351883c0603\" data-wp-on--click=\"actions.setActiveTab\" data-wp-class--active=\"state.isActive\">Data<\/button><\/div><div class=\"wp-chart-builder-view-buttons__actions\"><button class=\"view-button view-button--download-image\" data-chart-id=\"86cf167e-d000-4df4-8057-1351883c0603\" data-wp-on--click=\"actions.downloadImage\">Download Image<\/button><button class=\"view-button view-button--share\" data-chart-view=\"share\" data-chart-id=\"86cf167e-d000-4df4-8057-1351883c0603\" data-wp-on--click=\"actions.setActiveTab\" data-wp-class--active=\"state.isActive\">Share<\/button><\/div><\/div>\t\t<\/div>\n\t\t<\/figure><\/div>\n\n\n<p class=\"wp-block-paragraph\">Among workers with a high school diploma or less, men\u2019s employment grew by 8.8% for each 1-point increase in AI exposure, while women\u2019s fell by 9.5%.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">For workers with some college education, the gap was smaller but still significant.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">For workers with a bachelor\u2019s degree or higher, neither men\u2019s nor women\u2019s employment changed significantly as AI exposure increased.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">To be sure, men without a college degree are not heavily represented in occupations with high levels of AI exposure. Instead, they tend to work in occupations with low AI exposure, such as truck driving, construction labor and moving freight. So the job growth we found for men without a degree in more AI-exposed occupations applies to a relatively small share of these men.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Unlike men without a four-year college degree, women with this level of education are often working in occupations like secretaries, receptionists and customer service representatives. These roles are closer to the middle to upper part of the AI exposure scale, so tools like chatbots and automated support have a larger role in their work.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Men&#8217;s employment grew faster than women&#8217;s in occupations most exposed to AI, a gap driven largely by workers without a bachelor&#8217;s 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