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:where([role=\"tablist\"],[role=\"toolbar\"],[hidden],button,.nx-theme-toggle,.nx-live-slot){display:none}#nxe-n11rbt3v.nxe img{max-width:100%;height:auto}<\/style><svg class=\"nx-defs\" aria-hidden=\"true\" focusable=\"false\" width=\"0\" height=\"0\"><defs><linearGradient id=\"nx-gi\" x1=\"0\" y1=\"0\" x2=\"1\" y2=\"1\"><stop offset=\"0\" class=\"nx-gi-a\"\/><stop offset=\"0.55\" class=\"nx-gi-b\"\/><stop offset=\"1\" class=\"nx-gi-c\"\/><\/linearGradient><linearGradient id=\"nx-giu\" gradientUnits=\"userSpaceOnUse\" x1=\"0\" y1=\"0\" x2=\"800\" y2=\"0\"><stop offset=\"0\" class=\"nx-gi-a\"\/><stop offset=\"0.55\" class=\"nx-gi-b\"\/><stop offset=\"1\" class=\"nx-gi-c\"\/><\/linearGradient><linearGradient id=\"nx-gp\" x1=\"0\" y1=\"0\" x2=\"1\" y2=\"1\"><stop offset=\"0\" class=\"nx-gp-a\"\/><stop offset=\"1\" class=\"nx-gp-b\"\/><\/linearGradient><\/defs><\/svg><section class=\"nx-hero\" data-layout=\"console\" aria-labelledby=\"nx-title-1\"><div class=\"nx-container\"><div class=\"nx-theme-toggle\" role=\"group\" aria-label=\"Appearance of this page\" hidden><button type=\"button\" data-mode=\"light\" aria-pressed=\"false\">Light<\/button><button type=\"button\" data-mode=\"dark\" aria-pressed=\"false\">Dark<\/button><button type=\"button\" data-mode=\"auto\" aria-pressed=\"true\">Auto<\/button><\/div><div class=\"nx-folio\" aria-label=\"Document reference\"><strong>G-P17 \u00b7 TOPIC \u00b7 automation-and-jobs<\/strong>GCRI dossier \u00b7 service level R0<\/div><div class=\"nx-hero-grid\"><div class=\"nx-hero-text\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">GCRI<\/span><span class=\"nx-eyebrow\" aria-hidden=\"true\">\u00b7<\/span><span class=\"nx-eyebrow\">Future of Work and Skills<\/span><span class=\"nx-eyebrow\" aria-hidden=\"true\">\u00b7<\/span><span class=\"nx-eyebrow\">In development<\/span><\/div><div class=\"nx-accent-row\"><span class=\"nx-accent-rule\" aria-hidden=\"true\"><\/span><span>Topic dossier \u00b7 Future of Work and Skills<\/span><\/div><h1 id=\"nx-title-1\" class=\"nx-hero-title\">Automation and jobs<\/h1><p class=\"nx-tagline\">Automation, robotics and AI take over some tasks, assist others and create new ones. Whether this displaces workers, raises productivity and wages or does both depends on the tasks involved, how firms deploy technology and how institutions support transitions. This page sets out how automation affects jobs, how exposure and impact are measured, and what evidence serves the policymakers, employers and unions responsible.<\/p><div class=\"nx-actions\"><a class=\"nx-btn\" data-variant=\"primary\" href=\"https:\/\/therisk.global\/future-work-skills\/contact\/\">Make an enquiry <svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/a><a class=\"nx-btn\" data-variant=\"secondary\" href=\"https:\/\/therisk.global\/future-work-skills\/topics\/\">Back to Topics<\/a><\/div><\/div><div class=\"nx-hero-panel\"><div class=\"nx-register\"><div class=\"nx-register-head\"><span class=\"nx-eyebrow\"><strong>Dossier<\/strong><\/span><span class=\"nx-eyebrow\">G-P17 \u00b7 topic<\/span><\/div><ol class=\"nx-register-rows\"><li><a href=\"#nx-sec-brief-answer\"><span class=\"nx-register-n\">01<\/span><span class=\"nx-register-k\">In brief<\/span><span class=\"nx-register-v\">Definition and scope<\/span><\/a><\/li><li><a href=\"#nx-sec-question\"><span class=\"nx-register-n\">02<\/span><span class=\"nx-register-k\">The question<\/span><span class=\"nx-register-v\">4 mechanisms<\/span><\/a><\/li><li><a href=\"#nx-sec-terms\"><span class=\"nx-register-n\">03<\/span><span class=\"nx-register-k\">Key terms<\/span><span class=\"nx-register-v\"><span class=\"nx-register-num\">3<\/span><\/span><\/a><\/li><li><a href=\"#nx-sec-field\"><span class=\"nx-register-n\">04<\/span><span class=\"nx-register-k\">Field<\/span><span class=\"nx-register-v\">H3 field plate<\/span><\/a><\/li><li><a href=\"#nx-sec-indicators\"><span class=\"nx-register-n\">05<\/span><span class=\"nx-register-k\">Indicators<\/span><span class=\"nx-register-v\"><span class=\"nx-register-num\">6<\/span><\/span><\/a><\/li><li><a href=\"#nx-sec-pipeline\"><span class=\"nx-register-n\">06<\/span><span class=\"nx-register-k\">Pipeline<\/span><span class=\"nx-register-v\">Run graph<\/span><\/a><\/li><li><a href=\"#nx-sec-sources\"><span class=\"nx-register-n\">07<\/span><span class=\"nx-register-k\">Sources<\/span><span class=\"nx-register-v\"><span class=\"nx-register-num\">5<\/span><\/span><\/a><\/li><li><a href=\"#nx-sec-decisions\"><span class=\"nx-register-n\">08<\/span><span class=\"nx-register-k\">Decision holders<\/span><span class=\"nx-register-v\"><span class=\"nx-register-num\">3<\/span><\/span><\/a><\/li><li><a href=\"#nx-sec-methods\"><span class=\"nx-register-n\">09<\/span><span class=\"nx-register-k\">Methods<\/span><span class=\"nx-register-v\"><span class=\"nx-register-num\">4<\/span><\/span><\/a><\/li><\/ol><p class=\"nx-register-foot\">GCRI \u00b7 In development \u00b7 service level R0<\/p><\/div><\/div><\/div><\/div><\/section> <nav class=\"nx-index-strip\" data-nx-spy=\"true\" aria-label=\"On this page\"><div class=\"nx-container\"><a href=\"#nx-sec-brief-answer\"><span>01<\/span>The short answer<\/a><a href=\"#nx-sec-field\"><span>02<\/span>Connected activity in Southeast Asia<\/a><a href=\"#nx-sec-question\"><span>03<\/span>Automation and jobs: how the risk\u2026<\/a><a href=\"#nx-sec-terms\"><span>04<\/span>Terms used on this page<\/a><a href=\"#nx-sec-indicators\"><span>05<\/span>What is measured, and how well<\/a><a href=\"#nx-sec-pipeline\"><span>06<\/span>From sources to decisions<\/a><a href=\"#nx-sec-sources\"><span>07<\/span>Where the evidence comes from<\/a><a href=\"#nx-sec-decisions\"><span>08<\/span>Who decides, and what the evidence\u2026<\/a><\/div><\/nav> <section id=\"nx-sec-brief-answer\" class=\"nx-section\" data-hue=\"social\" data-variant=\"stack\" aria-labelledby=\"nx-s-2\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">01<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">In brief<\/span><\/div><h2 id=\"nx-s-2\" class=\"nx-section-title\">The short answer.<\/h2><p class=\"nx-lede\">Automation and jobs is the study of how machines, robots and AI change employment by taking over, assisting or creating tasks. Effects depend on the balance of displacement and new tasks, on whether productivity gains reach wages and on support for displaced workers, whose transitions are often costly.<\/p><\/div><\/div><\/section><section id=\"nx-sec-field\" class=\"nx-section\" data-hue=\"project\" data-tone=\"alt\" aria-labelledby=\"nx-s-3\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">02<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">Geography<\/span><\/div><h2 id=\"nx-s-3\" class=\"nx-section-title\">Connected activity in Southeast Asia.<\/h2><p class=\"nx-lede\">Night-time lights and population density, the footprint of electrified, connected activity, framed on Southeast Asia; each layer is a dated NASA product.<\/p><\/div><div class=\"nx-section-body\"><div class=\"nx-canvas-wrap\"><div class=\"nx-cmap-field\" data-nx-map=\"ctx-field\" data-cmap=\"southeast-asia:digital\"><div class=\"nx-wm\" data-nx-water=\"ctx-digital\" data-wm-domain=\"ctx-digital\" data-wm-tiles=\"on\" data-wm-flat=\"on\" data-wm-focus=\"92,-11,141,24\" data-ws-live=\"off\" data-claim=\"INTEGRATED\" data-wm-panel=\"closed\" data-wm-mode=\"2d\"><div class=\"nx-wm-stage\" tabindex=\"0\" role=\"application\" aria-roledescription=\"interactive map\" aria-label=\"Connected activity, Southeast Asia: satellite and model layers from NASA on a 3D terrain of ASTER GDEM elevation. Arrow keys move; with Shift they turn and tilt in 3D; plus and minus zoom, 0 resets; I inspects, question mark lists the keys.\" aria-describedby=\"nx-wm-help\"><canvas class=\"nx-wm-canvas\" aria-hidden=\"true\"><\/canvas><p class=\"nx-wm-noscript\">The interactive map needs JavaScript; the layer list and sources are below.<\/p><div class=\"nx-wm-presets\" role=\"group\" aria-label=\"Quick views\"><button type=\"button\" class=\"nx-wm-preset\" data-wm-preset=\"ntl||||\" aria-pressed=\"false\">Night lights<\/button><button type=\"button\" class=\"nx-wm-preset\" data-wm-preset=\"people||||\" aria-pressed=\"false\">Population<\/button><\/div><div class=\"nx-wm-panel\" id=\"nx-wm-panel\" role=\"region\" aria-label=\"Map layers\"><div class=\"nx-wm-panel-head\"><p class=\"nx-wm-panel-title\">Layers <span class=\"nx-wm-count\">2<\/span><\/p><button type=\"button\" class=\"nx-wm-icon nx-wm-panel-close\" data-wm-act=\"panel\" aria-label=\"Close the layer list\"><svg viewBox=\"0 0 16 16\" aria-hidden=\"true\" focusable=\"false\"><path d=\"M3.5 3.5l9 9M12.5 3.5l-9 9\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/button><\/div><div class=\"nx-wm-panel-body\"><div class=\"nx-wm-group\"><p class=\"nx-wm-group-title\">Connected activity<\/p><button type=\"button\" class=\"nx-wm-layer\" data-wm-toggle=\"ntl\" aria-pressed=\"true\" data-wm-z=\"20\" data-wm-lag=\"0\" data-wm-op=\"0.9\" data-wm-name=\"Night-time lights, daily\" data-wm-short=\"Night lights\" data-wm-src=\"NASA LAADS DAAC VIIRS Black Marble (VNP46A2)\" data-wm-prov=\"NASA LAADS DAAC\" data-wm-kind=\"Satellite radiance, corrected for moonlight and atmosphere\"><span class=\"nx-wm-check\" aria-hidden=\"true\"><\/span><span class=\"nx-wm-layer-text\"><span class=\"nx-wm-layer-name\">Night-time lights, daily<\/span><span class=\"nx-wm-layer-src\">NASA LAADS DAAC VIIRS Black Marble (VNP46A2) \u00b7 <span data-wm-date=\"ntl\">12 Oct 2026<\/span><\/span><\/span><\/button><div class=\"nx-wm-tools\" data-wm-tools=\"ntl\" hidden><\/div><button type=\"button\" class=\"nx-wm-layer\" data-wm-toggle=\"people\" aria-pressed=\"true\" data-wm-z=\"21\" data-wm-lag=\"0\" data-wm-op=\"0.8\" data-wm-name=\"Population density, 2020\" data-wm-short=\"Population density\" data-wm-src=\"NASA SEDAC (CIESIN, Columbia University) Gridded Population of the World v4.11\" data-wm-prov=\"NASA SEDAC (CIESIN, Columbia University)\" data-wm-kind=\"Census-based estimate, static (2020)\"><span class=\"nx-wm-check\" aria-hidden=\"true\"><\/span><span class=\"nx-wm-layer-text\"><span class=\"nx-wm-layer-name\">Population density, 2020<\/span><span class=\"nx-wm-layer-src\">NASA SEDAC (CIESIN, Columbia University) Gridded Population of the World v4.11 \u00b7 <span data-wm-date=\"people\">static<\/span><\/span><\/span><\/button><div class=\"nx-wm-tools\" data-wm-tools=\"people\" hidden><\/div><button type=\"button\" class=\"nx-wm-layer\" data-wm-toggle=\"true\" aria-pressed=\"false\" data-wm-z=\"22\" data-wm-lag=\"1\" data-wm-name=\"True colour\" data-wm-short=\"True colour\" data-wm-src=\"NASA LANCE VIIRS NOAA-20 corrected reflectance\" data-wm-prov=\"NASA LANCE\" data-wm-kind=\"Satellite image\"><span class=\"nx-wm-check\" aria-hidden=\"true\"><\/span><span class=\"nx-wm-layer-text\"><span class=\"nx-wm-layer-name\">True colour<\/span><span class=\"nx-wm-layer-src\">NASA LANCE VIIRS NOAA-20 corrected reflectance \u00b7 <span data-wm-date=\"true\">13 Oct 2026<\/span><\/span><\/span><\/button><div class=\"nx-wm-tools\" data-wm-tools=\"true\" hidden><\/div><\/div><\/div><\/div><div class=\"nx-wm-rail\" role=\"toolbar\" aria-orientation=\"vertical\" aria-label=\"Map controls\"><button type=\"button\" class=\"nx-wm-icon nx-wm-open\" data-wm-act=\"panel\" aria-controls=\"nx-wm-panel\" aria-expanded=\"false\" aria-label=\"Layers\" title=\"Layers\"><svg viewBox=\"0 0 16 16\" aria-hidden=\"true\" focusable=\"false\"><path d=\"M8 2.5l-6.5 3.5 6.5 3.5 6.5-3.5zm-6.5 6.5 6.5 3.5 6.5-3.5m-13 2.8 6.5 3.5 6.5-3.5\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/button><button type=\"button\" class=\"nx-wm-icon\" data-wm-act=\"tools\" aria-controls=\"nx-wm-menu\" aria-expanded=\"false\" aria-label=\"Expert tools\" title=\"Expert tools\"><svg viewBox=\"0 0 16 16\" aria-hidden=\"true\" focusable=\"false\"><path d=\"M3 4.5l10 0m-10 3.5 10 0m-10 3.5 10 0m-7.5-8.5 0 3m5 .5 0 3m-3.5.5 0 3\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/button><span class=\"nx-wm-sep\" aria-hidden=\"true\"><\/span><button type=\"button\" class=\"nx-wm-icon\" data-wm-act=\"in\" aria-label=\"Zoom in\" title=\"Zoom in\"><svg viewBox=\"0 0 16 16\" aria-hidden=\"true\" focusable=\"false\"><path d=\"M8 3v10M3 8h10\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/button><button type=\"button\" class=\"nx-wm-icon\" data-wm-act=\"out\" aria-label=\"Zoom out\" title=\"Zoom out\"><svg viewBox=\"0 0 16 16\" aria-hidden=\"true\" focusable=\"false\"><path d=\"M3 8h10\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/button><button type=\"button\" class=\"nx-wm-icon\" data-wm-act=\"reset\" aria-label=\"Reset the view\" title=\"Reset the view\"><svg viewBox=\"0 0 16 16\" aria-hidden=\"true\" focusable=\"false\"><path d=\"M3.2 8a4.8 4.8 0 1 0 1.5-3.5M3.2 2.6v2.6h2.6\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/button><button type=\"button\" class=\"nx-wm-icon\" data-wm-act=\"full\" aria-label=\"Full screen\" title=\"Full screen\"><svg viewBox=\"0 0 16 16\" aria-hidden=\"true\" focusable=\"false\"><path d=\"M2.5 6l0-3.5 3.5 0m7.5 3.5 0-3.5-3.5 0m-7.5 7.5 0 3.5 3.5 0m7.5-3.5 0 3.5-3.5 0\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/button><\/div><div class=\"nx-wm-menu\" id=\"nx-wm-menu\" role=\"menu\" aria-label=\"Expert tools\" hidden><button type=\"button\" class=\"nx-wm-menu-item\" role=\"menuitemcheckbox\" aria-checked=\"false\" data-wm-tool=\"inspect\">Inspect a point<kbd>I<\/kbd><\/button><button type=\"button\" class=\"nx-wm-menu-item\" role=\"menuitemcheckbox\" aria-checked=\"false\" data-wm-tool=\"measure\">Measure distance<kbd>M<\/kbd><\/button><button type=\"button\" class=\"nx-wm-menu-item\" role=\"menuitemcheckbox\" aria-checked=\"false\" data-wm-tool=\"compare\">Compare two dates<kbd>C<\/kbd><\/button><button type=\"button\" class=\"nx-wm-menu-item\" role=\"menuitem\" data-wm-tool=\"share\">Copy a link to this view<\/button><button type=\"button\" class=\"nx-wm-menu-item\" role=\"menuitem\" data-wm-tool=\"png\">Export as PNG with credits<\/button><button type=\"button\" class=\"nx-wm-menu-item\" role=\"menuitem\" data-wm-tool=\"keys\">Keyboard shortcuts<kbd>?<\/kbd><\/button><\/div><div class=\"nx-wm-keys\" role=\"dialog\" aria-label=\"Keyboard shortcuts\" hidden><p class=\"nx-wm-keys-title\">Keyboard, with the map focused<\/p><dl class=\"nx-wm-keys-list\"><div><dt><kbd>Arrows<\/kbd><\/dt><dd>Move<\/dd><\/div><div><dt><kbd>Shift and arrows<\/kbd><\/dt><dd>Turn and tilt (3D)<\/dd><\/div><div><dt><kbd>+ and \u2212<\/kbd><\/dt><dd>Zoom<\/dd><\/div><div><dt><kbd>0<\/kbd><\/dt><dd>Reset the view<\/dd><\/div><div><dt><kbd>N and P<\/kbd><\/dt><dd>Next and previous station<\/dd><\/div><div><dt><kbd>Enter<\/kbd><\/dt><dd>Pin the station<\/dd><\/div><div><dt><kbd>I<\/kbd><\/dt><dd>Inspect a point<\/dd><\/div><div><dt><kbd>M<\/kbd><\/dt><dd>Measure<\/dd><\/div><div><dt><kbd>C<\/kbd><\/dt><dd>Compare dates<\/dd><\/div><div><dt><kbd>Escape<\/kbd><\/dt><dd>Close<\/dd><\/div><\/dl><button type=\"button\" class=\"nx-wm-icon nx-wm-keys-close\" data-wm-tool=\"keys\" aria-label=\"Close the shortcuts\"><svg viewBox=\"0 0 16 16\" aria-hidden=\"true\" focusable=\"false\"><path d=\"M3.5 3.5l9 9M12.5 3.5l-9 9\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/button><\/div><p class=\"nx-wm-hint\" hidden>Hold Ctrl or \u2318 and scroll to zoom<\/p><p class=\"nx-wm-toolbar\" role=\"status\" hidden><\/p><div class=\"nx-wm-tip\" role=\"tooltip\" hidden><\/div><div class=\"nx-wm-pin\" hidden><div class=\"nx-wm-pin-head\"><p class=\"nx-wm-pin-title\"><\/p><button type=\"button\" class=\"nx-wm-icon\" data-wm-act=\"unpin\" aria-label=\"Close the card\"><svg viewBox=\"0 0 16 16\" aria-hidden=\"true\" focusable=\"false\"><path d=\"M3.5 3.5l9 9M12.5 3.5l-9 9\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/button><\/div><div class=\"nx-wm-pin-chart\"><\/div><div class=\"nx-wm-pin-body\"><\/div><\/div><div class=\"nx-wm-dock\"><div class=\"nx-wm-time\" role=\"group\" aria-label=\"Imagery date\"><button type=\"button\" class=\"nx-wm-icon\" data-wm-step=\"prev\" aria-label=\"One day earlier\">\u2039<\/button><p class=\"nx-wm-time-label\">Latest available<\/p><button type=\"button\" class=\"nx-wm-icon\" data-wm-step=\"next\" aria-label=\"One day later\">\u203a<\/button><span class=\"nx-wm-track\" role=\"slider\" tabindex=\"0\" aria-label=\"Imagery date, up to 30 days back\"><\/span><button type=\"button\" class=\"nx-wm-latest\" data-wm-step=\"latest\" aria-pressed=\"true\">Latest<\/button><\/div><div class=\"nx-wm-chips\" role=\"group\" aria-label=\"Legends\"><\/div><p class=\"nx-wm-attrib\">NASA GIBS \/ EOSDIS \u00b7 ASTER GDEM (METI, NASA) \u00b7 Natural Earth<\/p><div class=\"nx-wm-legends\" aria-live=\"polite\" hidden><\/div><\/div><\/div><div class=\"nx-container nx-wm-below\"><p class=\"nx-wm-status\" role=\"status\">Loading the latest NASA imagery.<\/p><p id=\"nx-wm-help\" class=\"nx-wm-help\">Drag to move. Ctrl or \u2318 and scroll, pinch or the buttons to zoom; hover for the values under the pointer; reset returns to the region.<\/p><p class=\"nx-caption\"><span>Night-time lights and population density, the footprint of electrified, connected activity, framed on Southeast Asia.<\/span><span data-honesty=\"true\">Satellite and model products as NASA publishes them, each with its own date; indicators, not assessments of any place; claim ceiling INTEGRATED.<\/span><\/p><details class=\"nx-wm-credits\"><summary><span class=\"nx-wm-credits-line\">Data: NASA GIBS \u00b7 ASTER GDEM \u00b7 Natural Earth<\/span><span class=\"nx-wm-credits-more\">Sources and licences<\/span><\/summary><p class=\"nx-wm-credit\"><ul class=\"nx-wm-credit-list\"><li data-wm-credit=\"nasa.gibs.field-layers\">We acknowledge the use of imagery provided by services from NASA's Global Imagery Browse Services (GIBS), part of NASA's Earth Science Data and Information System (ESDIS). Colours redrawn from the published colour map; values averaged into H3 cells where shown (modified). <a class=\"nx-link\" href=\"https:\/\/www.earthdata.nasa.gov\/engage\/open-data-services-software-policies\" rel=\"noopener\" target=\"_blank\">NASA open data<\/a><\/li><li data-wm-credit=\"nasa.gibs.water-layers\">We acknowledge the use of imagery provided by services from NASA's Global Imagery Browse Services (GIBS), part of NASA's Earth Science Data and Information System (ESDIS). Colours redrawn from the published colour map; values averaged into H3 cells where shown (modified). <a class=\"nx-link\" href=\"https:\/\/www.earthdata.nasa.gov\/engage\/open-data-services-software-policies\" rel=\"noopener\" target=\"_blank\">NASA open data<\/a><\/li><li data-wm-credit=\"nasa.laads.black-marble\">VIIRS Black Marble night-time lights, NASA Goddard Space Flight Center; distributed by the NASA Level-1 and Atmosphere Archive and Distribution System (LAADS DAAC); imagery via NASA GIBS. Colours redrawn from the published colour map; values averaged into H3 cells where shown (modified). <a class=\"nx-link\" href=\"https:\/\/www.earthdata.nasa.gov\/engage\/open-data-services-software-policies\" rel=\"noopener\" target=\"_blank\">NASA open data<\/a><\/li><li data-wm-credit=\"sedac.gpw-v4\">Center for International Earth Science Information Network (CIESIN), Columbia University. 2018. Gridded Population of the World, Version 4 (GPWv4): Population Density, Revision 11. NASA Socioeconomic Data and Applications Center (SEDAC). Licensed under CC BY 4.0. Colours redrawn from the published colour map; values averaged into H3 cells where shown (modified). <a class=\"nx-link\" href=\"https:\/\/creativecommons.org\/licenses\/by\/4.0\/\" rel=\"noopener\" target=\"_blank\">CC BY 4.0<\/a><\/li><li data-wm-credit=\"nasa.lance.viirs-water\">VIIRS near-real-time products (flood, land surface temperature, snow cover, corrected reflectance), NASA LANCE; imagery via NASA GIBS. Colours redrawn from the published colour map; values averaged into H3 cells where shown (modified). <a class=\"nx-link\" href=\"https:\/\/www.earthdata.nasa.gov\/engage\/open-data-services-software-policies\" rel=\"noopener\" target=\"_blank\">NASA open data<\/a><\/li><li data-wm-credit=\"nasa-meti.aster-gdem-v3\">ASTER GDEM is a product of METI and NASA (ASTER Global Digital Elevation Model V003, NASA LP DAAC); imagery via NASA GIBS. Colours redrawn from the published colour map; values averaged into H3 cells where shown (modified). <a class=\"nx-link\" href=\"https:\/\/www.earthdata.nasa.gov\/engage\/open-data-services-software-policies\" rel=\"noopener\" target=\"_blank\">NASA open data<\/a><\/li><li data-wm-credit=\"naturalearth.all-scales\">Made with Natural Earth. Free vector and raster map data @ naturalearthdata.com. <a class=\"nx-link\" href=\"https:\/\/www.naturalearthdata.com\/about\/terms-of-use\/\" rel=\"noopener\" target=\"_blank\">Public domain<\/a><\/li><li>Globe: MapLibre GL JS 6.9.1, BSD-3-Clause, \u00a9 MapLibre contributors.<\/li><\/ul><p class=\"nx-wm-credit\"><strong>Layers and dates<\/strong><\/p><ul class=\"nx-wm-credit-list\"><li>Night-time lights, daily: VIIRS Black Marble (VNP46A2), NASA LAADS DAAC \u00b7 <span data-wm-date=\"ntl\">12 Oct 2026<\/span><\/li><li>Population density, 2020: Population: CIESIN, Columbia University, Gridded Population of the World v4.11 (2018), NASA SEDAC, CC BY 4.0 \u00b7 <span data-wm-date=\"people\">static<\/span><\/li><li>True colour: VIIRS NOAA-20 corrected reflectance, NASA LANCE \u00b7 <span data-wm-date=\"true\">13 Oct 2026<\/span><\/li><\/ul><\/p><\/details><\/div><\/div><div class=\"nx-live-slot nx-live-slot--map\" data-nxf-slot=\"map\" data-nxf-kind=\"map\" data-nxf-resource=\"nexus:\/\/gcri\/G-P17\/topics\/automation-and-jobs\/#map\" data-nxf-title=\"Future of Work and Skills live map\" data-nxf-height=\"560\" hidden><\/div><\/div><\/div><\/div><\/div><\/section><section id=\"nx-sec-question\" class=\"nx-section\" data-hue=\"social\" data-variant=\"split\" aria-labelledby=\"nx-s-4\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">03<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">The question<\/span><\/div><h2 id=\"nx-s-4\" class=\"nx-section-title\">Automation and jobs: how the risk develops.<\/h2><p class=\"nx-lede\">AI\/robotics impact and job redesign. The dossier below sets out how the risk develops, what is measured, where the data come from, how it is modelled and who decides.<\/p><\/div><div class=\"nx-section-body\"><div class=\"nx-cells\" data-cols=\"2\"><div><div class=\"nx-glyph-row\"><span class=\"nx-glyph\" data-tone=\"accent\"><svg class=\"nx-i\" viewBox=\"0 0 24 24\" aria-hidden=\"true\" focusable=\"false\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"m12.83 2.18a2 2 0 0 0-1.66 0L2.6 6.08a1 1 0 0 0 0 1.83l8.58 3.91a2 2 0 0 0 1.66 0l8.58-3.9a1 1 0 0 0 0-1.83Z\"\/><path d=\"m22 17.65-9.17 4.16a2 2 0 0 1-1.66 0L2 17.65\"\/><path d=\"m22 12.65-9.17 4.16a2 2 0 0 1-1.66 0L2 12.65\"\/><\/svg><\/span><span class=\"nx-eyebrow\">Mechanism<\/span><\/div><h3 class=\"nx-h4 nx-mt-2\">Tasks, not whole jobs<\/h3><p class=\"nx-p nx-mt-1\">Most occupations combine tasks that can be automated with tasks that cannot. Automation reshapes jobs more often than it eliminates them outright.<\/p><\/div><div><div class=\"nx-glyph-row\"><span class=\"nx-glyph\" data-tone=\"accent\"><svg class=\"nx-i\" viewBox=\"0 0 24 24\" aria-hidden=\"true\" focusable=\"false\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M12 8V4H8\"\/><rect width=\"16\" height=\"12\" x=\"4\" y=\"8\" rx=\"2\"\/><path d=\"M2 14h2\"\/><path d=\"M20 14h2\"\/><path d=\"M15 13v2\"\/><path d=\"M9 13v2\"\/><\/svg><\/span><span class=\"nx-eyebrow\">Mechanism<\/span><\/div><h3 class=\"nx-h4 nx-mt-2\">Displacement and reinstatement<\/h3><p class=\"nx-p nx-mt-1\">Technology displaces labour from some tasks and creates new tasks that need people. Net effects depend on the balance between the two.<\/p><\/div><div><div class=\"nx-glyph-row\"><span class=\"nx-glyph\" data-tone=\"accent\"><svg class=\"nx-i\" viewBox=\"0 0 24 24\" aria-hidden=\"true\" focusable=\"false\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><circle cx=\"8\" cy=\"8\" r=\"6\"\/><path d=\"M18.09 10.37A6 6 0 1 1 10.34 18\"\/><path d=\"M7 6h1v4\"\/><path d=\"m16.71 13.88.7.71-2.82 2.82\"\/><\/svg><\/span><span class=\"nx-eyebrow\">Mechanism<\/span><\/div><h3 class=\"nx-h4 nx-mt-2\">Productivity gains may not reach wages<\/h3><p class=\"nx-p nx-mt-1\">If gains accrue mainly to capital owners, automation can raise output while wages stagnate for exposed workers.<\/p><\/div><div><div class=\"nx-glyph-row\"><span class=\"nx-glyph\" data-tone=\"accent\"><svg class=\"nx-i\" viewBox=\"0 0 24 24\" aria-hidden=\"true\" focusable=\"false\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M16 21v-2a4 4 0 0 0-4-4H6a4 4 0 0 0-4 4v2\"\/><circle cx=\"9\" cy=\"7\" r=\"4\"\/><path d=\"M22 21v-2a4 4 0 0 0-3-3.87\"\/><path d=\"M16 3.13a4 4 0 0 1 0 7.75\"\/><\/svg><\/span><span class=\"nx-eyebrow\">Mechanism<\/span><\/div><h3 class=\"nx-h4 nx-mt-2\">Transitions are costly for individuals<\/h3><p class=\"nx-p nx-mt-1\">Displaced workers often face long unemployment or lower pay in new jobs, especially older workers and those in declining regions.<\/p><\/div><\/div><\/div><\/div><\/section><section id=\"nx-sec-terms\" class=\"nx-section\" data-hue=\"project\" data-tone=\"alt\" data-variant=\"split\" aria-labelledby=\"nx-s-5\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">04<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">Key terms<\/span><\/div><h2 id=\"nx-s-5\" class=\"nx-section-title\">Terms used on this page.<\/h2><p class=\"nx-lede\">Each term as this page uses it. Where a standard-setting body defines the term, the wording follows that body.<\/p><\/div><div class=\"nx-section-body\"><div class=\"nx-table-wrap\"><table class=\"nx-table\" data-stack=\"true\"><thead><tr><th scope=\"col\">Term<\/th><th scope=\"col\">Definition<\/th><\/tr><\/thead><tbody><tr><td data-label=\"Term\">Displacement effect<\/td><td data-label=\"Definition\">The reduction in labour demand when technology takes over tasks workers performed.<\/td><\/tr><tr><td data-label=\"Term\">Reinstatement effect<\/td><td data-label=\"Definition\">The increase in labour demand when technology creates new tasks for workers.<\/td><\/tr><tr><td data-label=\"Term\">Augmentation<\/td><td data-label=\"Definition\">Technology that helps workers perform tasks better instead of replacing them.<\/td><\/tr><\/tbody><\/table><\/div><\/div><\/div><\/section><section id=\"nx-sec-indicators\" class=\"nx-section\" data-hue=\"social\" data-variant=\"stack\" aria-labelledby=\"nx-s-6\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">05<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">Indicators<\/span><\/div><h2 id=\"nx-s-6\" class=\"nx-section-title\">What is measured, and how well.<\/h2><p class=\"nx-lede\">Each indicator carries its unit, its cadence, the kind of source behind it and the evidence label a value would carry. No values are shown: a programme supplies them under its own authority.<\/p><\/div><div class=\"nx-section-body\" data-lv=\"register\"><div class=\"nx-table-wrap\"><table class=\"nx-table\" data-stack=\"true\"><thead><tr><th scope=\"col\">Indicator<\/th><th scope=\"col\">Unit<\/th><th scope=\"col\">Cadence<\/th><th scope=\"col\">Source type<\/th><th scope=\"col\">Label<\/th><\/tr><\/thead><tbody><tr><td data-label=\"Indicator\">Employment in occupations with high automation exposure<\/td><td data-label=\"Unit\">percent of employment<\/td><td data-label=\"Cadence\">per assessment<\/td><td data-label=\"Source type\">Task-based exposure studies<\/td><td data-label=\"Label\"><span class=\"nx-chip\">ESTIMATED<\/span><\/td><\/tr><tr><td data-label=\"Indicator\">Firms using AI or robots<\/td><td data-label=\"Unit\">percent of firms<\/td><td data-label=\"Cadence\">per survey<\/td><td data-label=\"Source type\">Business surveys<\/td><td data-label=\"Label\"><span class=\"nx-chip\">REPORTED<\/span><\/td><\/tr><tr><td data-label=\"Indicator\">Displaced worker re-employment rate<\/td><td data-label=\"Unit\">percent re-employed within a year<\/td><td data-label=\"Cadence\">per survey<\/td><td data-label=\"Source type\">Displaced worker surveys<\/td><td data-label=\"Label\"><span class=\"nx-chip\">REPORTED<\/span><\/td><\/tr><tr><td data-label=\"Indicator\">Wage change after displacement<\/td><td data-label=\"Unit\">percent<\/td><td data-label=\"Cadence\">per survey<\/td><td data-label=\"Source type\">Linked employer-employee data<\/td><td data-label=\"Label\"><span class=\"nx-chip\">ESTIMATED<\/span><\/td><\/tr><tr><td data-label=\"Indicator\">Labour share of income<\/td><td data-label=\"Unit\">percent of GDP<\/td><td data-label=\"Cadence\">annual<\/td><td data-label=\"Source type\">National accounts<\/td><td data-label=\"Label\"><span class=\"nx-chip\">ESTIMATED<\/span><\/td><\/tr><tr><td data-label=\"Indicator\">New job titles emerging<\/td><td data-label=\"Unit\">count<\/td><td data-label=\"Cadence\">annual<\/td><td data-label=\"Source type\">Occupational classification updates and job postings<\/td><td data-label=\"Label\"><span class=\"nx-chip\">OBSERVED<\/span><\/td><\/tr><\/tbody><\/table><\/div><div class=\"nx-live-slot\" data-nxf-slot=\"indicators\" data-nxf-kind=\"indicator\" data-nxf-resource=\"nexus:\/\/gcri\/G-P17\/topics\/automation-and-jobs\/#indicators\" data-nxf-title=\"Indicators\" data-nxf-height=\"520\" hidden><\/div><\/div><\/div><\/section><section id=\"nx-sec-pipeline\" class=\"nx-section\" data-hue=\"project\" data-tone=\"alt\" aria-labelledby=\"nx-s-7\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">06<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">Canvas<\/span><\/div><h2 id=\"nx-s-7\" class=\"nx-section-title\">From sources to decisions.<\/h2><p class=\"nx-lede\">The topic as a computational graph: named sources feed the methods, an evidence review gates the outputs, and the decisions stay with the authorities that hold them.<\/p><\/div><div class=\"nx-section-body\"><div class=\"nx-plate\" data-wide=\"true\"><div class=\"nx-plate-label\"><span class=\"nx-eyebrow\"><strong>Pipeline canvas<\/strong> \u00b7 Automation and jobs as a run graph<\/span><span class=\"nx-eyebrow\">Design, not a record<\/span><\/div><div class=\"nx-figure-frame\" data-scene=\"true\"><svg class=\"nx-figure nx-ui nx-dag\" viewBox=\"0 0 1200 564\" data-nx-dag=\"true\" data-w=\"1200\" data-h=\"564\" role=\"img\" aria-labelledby=\"nx-dag-g-p17-topics-automation-and-jobs-skills-t nx-dag-g-p17-topics-automation-and-jobs-skills-d\" data-nx-z=\"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\"><title id=\"nx-dag-g-p17-topics-automation-and-jobs-skills-t\">Automation and jobs: from task exposure to reskilling pathways<\/title><desc id=\"nx-dag-g-p17-topics-automation-and-jobs-skills-d\">Occupations are broken into tasks and scored for exposure; skill gaps are found against vacancies; training pathways are designed with employers; placement and social protection support the transition. Design of the process, not a record of a run.<\/desc><\/svg><\/div><\/div><p class=\"nx-caption\"><strong>Fig. 02<\/strong><span>Nodes carry their type, two metric rows and a state; connectors show what feeds what; dashed frames name the owners; the timeline is the cadence. Design of the pipeline, not a record of a run.<\/span><\/p><\/div><\/div><\/section><section id=\"nx-sec-sources\" class=\"nx-section\" data-hue=\"social\" data-variant=\"split\" aria-labelledby=\"nx-s-8\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">07<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">Sources<\/span><\/div><h2 id=\"nx-s-8\" class=\"nx-section-title\">Where the evidence comes from.<\/h2><p class=\"nx-lede\">Named public datasets and institutional records, each with its licence class. Sources by agreement are used only under their terms and never republished.<\/p><\/div><div class=\"nx-section-body\" data-lv=\"register\"><div class=\"nx-table-wrap\"><table class=\"nx-table\" data-stack=\"true\"><thead><tr><th scope=\"col\">Source<\/th><th scope=\"col\">What it gives<\/th><th scope=\"col\">Licence class<\/th><\/tr><\/thead><tbody><tr><td data-label=\"Source\">ILO global studies on generative AI exposure<\/td><td data-label=\"What it gives\">Occupational exposure estimates by country and gender<\/td><td data-label=\"Licence class\">Public, ILO terms<\/td><\/tr><tr><td data-label=\"Source\">OECD studies on automation and AI in the labour market<\/td><td data-label=\"What it gives\">Evidence on exposure and adoption<\/td><td data-label=\"Licence class\">Public, OECD terms<\/td><\/tr><tr><td data-label=\"Source\">US Bureau of Labor Statistics Displaced Worker Survey<\/td><td data-label=\"What it gives\">Outcomes of displaced workers<\/td><td data-label=\"Licence class\">Public domain, US government<\/td><\/tr><tr><td data-label=\"Source\">O*NET occupational task database<\/td><td data-label=\"What it gives\">Task content of occupations used in exposure studies<\/td><td data-label=\"Licence class\">Open, CC BY 4.0<\/td><\/tr><tr><td data-label=\"Source\">Eurostat enterprise AI and robot use statistics<\/td><td data-label=\"What it gives\">Adoption by firms<\/td><td data-label=\"Licence class\">Open, Eurostat reuse policy<\/td><\/tr><\/tbody><\/table><\/div><div class=\"nx-live-slot\" data-nxf-slot=\"evidence\" data-nxf-kind=\"evidence\" data-nxf-resource=\"nexus:\/\/gcri\/G-P17\/topics\/automation-and-jobs\/#evidence\" data-nxf-title=\"Sources\" data-nxf-height=\"520\" hidden><\/div><\/div><\/div><\/section><section id=\"nx-sec-decisions\" class=\"nx-section\" data-hue=\"project\" data-tone=\"alt\" data-variant=\"split\" aria-labelledby=\"nx-s-9\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">08<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">Decisions<\/span><\/div><h2 id=\"nx-s-9\" class=\"nx-section-title\">Who decides, and what the evidence serves.<\/h2><p class=\"nx-lede\">Future of Work and Skills prepares evidence. The decisions below are taken by the authorities named, under their own rules, and never by the platform.<\/p><\/div><div class=\"nx-section-body\"><div class=\"nx-table-wrap\"><table class=\"nx-table\" data-stack=\"true\"><thead><tr><th scope=\"col\">Who decides<\/th><th scope=\"col\">The question<\/th><th scope=\"col\">Evidence this page serves<\/th><\/tr><\/thead><tbody><tr><td data-label=\"Who decides\">Labour ministries<\/td><td data-label=\"The question\">Which workers and regions need transition support<\/td><td data-label=\"Evidence this page serves\">Exposure profiles; displacement evidence<\/td><\/tr><tr><td data-label=\"Who decides\">Employers and unions<\/td><td data-label=\"The question\">How to introduce technology and share gains<\/td><td data-label=\"Evidence this page serves\">Adoption and wage evidence<\/td><\/tr><tr><td data-label=\"Who decides\">Training providers<\/td><td data-label=\"The question\">Which skills to build for new tasks<\/td><td data-label=\"Evidence this page serves\">Emerging task evidence<\/td><\/tr><\/tbody><\/table><\/div><h3 class=\"nx-h4 nx-mt-4\">Outputs this topic produces<\/h3><ul class=\"nx-list\"><li>Task-based exposure profiles by occupation and group<\/li><li>Displacement and re-employment analyses<\/li><li>Evaluation designs for transition programmes<\/li><li>Evidence notes for social dialogue on technology<\/li><\/ul><\/div><\/div><\/section><section id=\"nx-sec-core-questions\" class=\"nx-section\" data-hue=\"social\" data-variant=\"stack\" aria-labelledby=\"nx-s-10\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">09<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">Core questions<\/span><\/div><h2 id=\"nx-s-10\" class=\"nx-section-title\">What researchers ask about automation.<\/h2><\/div><div class=\"nx-section-body\"><ul class=\"nx-list\"><li>Which tasks can current AI and robots perform reliably and at acceptable cost?<\/li><li>When does technology substitute for workers and when does it complement them?<\/li><li>How are productivity gains shared between firms, workers and consumers?<\/li><li>How can jobs be redesigned so people keep meaningful, skilled work?<\/li><\/ul><\/div><\/div><\/section><section id=\"nx-sec-mechanisms\" class=\"nx-section\" data-hue=\"project\" data-tone=\"alt\" data-variant=\"stack\" aria-labelledby=\"nx-s-11\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">10<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">Mechanisms<\/span><\/div><h2 id=\"nx-s-11\" class=\"nx-section-title\">Displacement, productivity and new work.<\/h2><\/div><div class=\"nx-section-body\"><p class=\"nx-p\">Automation has a displacement effect, as machines take over tasks, and a productivity effect, as lower costs raise demand and employment elsewhere. Historically, new tasks and occupations have also emerged, reinstating demand for labour. The balance between these forces determines the net effect on employment and wages.<\/p><p class=\"nx-p nx-mt-2\">Industrial robots mainly automate physical, repetitive tasks in manufacturing and logistics. Generative AI reaches cognitive tasks such as drafting, summarising and coding. Evidence from early workplace studies suggests AI assistance can raise productivity, sometimes most for less experienced workers, but effects vary widely by task and implementation. What employers choose to automate, and how, matters as much as technical capability.<\/p><\/div><\/div><\/section><section id=\"nx-sec-methods-and-data\" class=\"nx-section\" data-hue=\"social\" data-variant=\"split\" aria-labelledby=\"nx-s-12\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">11<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">Methods and data<\/span><\/div><h2 id=\"nx-s-12\" class=\"nx-section-title\">Evidence on automation and its limits.<\/h2><\/div><div class=\"nx-section-body\"><ol class=\"nx-rows\"><li><span class=\"nx-eyebrow nx-index\">01<\/span><div><h3 class=\"nx-h4\">Task exposure measures<\/h3><p class=\"nx-p nx-mt-1\">Matching technology capabilities to occupational task descriptions, informed by <a class=\"nx-link\" href=\"https:\/\/therisk.global\/future-work-skills\/stem\/ai-ml\/\">artificial intelligence and machine learning<\/a> and robotics and automation. Measures depend on judgements about capability that age quickly.<\/p><\/div><\/li><li><span class=\"nx-eyebrow nx-index\">02<\/span><div><h3 class=\"nx-h4\">Robot adoption studies<\/h3><p class=\"nx-p nx-mt-1\">Linking robot installations to local employment and wages with <a class=\"nx-link\" href=\"https:\/\/therisk.global\/future-work-skills\/stem\/econometrics\/\">econometrics<\/a>. Results differ between countries and periods.<\/p><\/div><\/li><li><span class=\"nx-eyebrow nx-index\">03<\/span><div><h3 class=\"nx-h4\">Workplace experiments<\/h3><p class=\"nx-p nx-mt-1\">Randomised or natural experiments in firms adopting AI, using <a class=\"nx-link\" href=\"https:\/\/therisk.global\/future-work-skills\/stem\/social-science\/\">social and behavioural science<\/a>. Short-run effects may not reflect long-run change.<\/p><\/div><\/li><li><span class=\"nx-eyebrow nx-index\">04<\/span><div><h3 class=\"nx-h4\">Job redesign case studies<\/h3><p class=\"nx-p nx-mt-1\">How organizations reorganize work around new tools. Case studies illustrate possibilities rather than averages.<\/p><\/div><\/li><\/ol><\/div><\/div><\/section><section id=\"nx-sec-methods\" class=\"nx-section\" data-hue=\"project\" data-tone=\"alt\" aria-labelledby=\"nx-s-13\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">12<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">Methods<\/span><\/div><h2 id=\"nx-s-13\" class=\"nx-section-title\">How it is studied, and what the methods cannot say.<\/h2><\/div><div class=\"nx-section-body\"><div class=\"nx-methods\" data-limits=\"true\"><ol class=\"nx-mledger\" aria-label=\"Methods\"><li><a class=\"nx-mledger-main\" href=\"https:\/\/therisk.global\/future-work-skills\/stem\/economics\/\"><span class=\"nx-mledger-n\" aria-hidden=\"true\">01<\/span><span class=\"nx-mledger-body\"><span class=\"nx-mledger-name\">Economics and development economics<\/span><span class=\"nx-mledger-role\">Task-based analysis of technology \u00b7 Labour market institutions \u00b7 Just transition economics<\/span><\/span><span class=\"nx-mledger-go\"><span class=\"nx-mledger-go-label\">Applied here<\/span><svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/span><\/a><div class=\"nx-mledger-aside\"><a class=\"nx-mledger-canon\" href=\"https:\/\/therisk.global\/stem\/science\/economics\/\" aria-label=\"Economics and development economics: canonical page on the STEM Commons\">Canonical \u00b7 STEM Commons <span aria-hidden=\"true\">\u2197<\/span><\/a><\/div><\/li><li><a class=\"nx-mledger-main\" href=\"https:\/\/therisk.global\/future-work-skills\/stem\/ai-ml\/\"><span class=\"nx-mledger-n\" aria-hidden=\"true\">02<\/span><span class=\"nx-mledger-body\"><span class=\"nx-mledger-name\">Artificial intelligence and machine learning<\/span><span class=\"nx-mledger-role\">Skills extraction from job postings \u00b7 Job matching in employment services<\/span><\/span><span class=\"nx-mledger-go\"><span class=\"nx-mledger-go-label\">Applied here<\/span><svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/span><\/a><div class=\"nx-mledger-aside\"><a class=\"nx-mledger-canon\" href=\"https:\/\/therisk.global\/stem\/technology\/ai-ml\/\" aria-label=\"Artificial intelligence and machine learning: canonical page on the STEM Commons\">Canonical \u00b7 STEM Commons <span aria-hidden=\"true\">\u2197<\/span><\/a><\/div><\/li><li><a class=\"nx-mledger-main\" href=\"https:\/\/therisk.global\/future-work-skills\/stem\/robotics\/\"><span class=\"nx-mledger-n\" aria-hidden=\"true\">03<\/span><span class=\"nx-mledger-body\"><span class=\"nx-mledger-name\">Robotics and automation<\/span><span class=\"nx-mledger-role\">Robot adoption and employment \u00b7 Safety in human-robot work \u00b7 Job redesign around robots<\/span><\/span><span class=\"nx-mledger-go\"><span class=\"nx-mledger-go-label\">Applied here<\/span><svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/span><\/a><div class=\"nx-mledger-aside\"><a class=\"nx-mledger-canon\" href=\"https:\/\/therisk.global\/stem\/technology\/robotics\/\" aria-label=\"Robotics and automation: canonical page on the STEM Commons\">Canonical \u00b7 STEM Commons <span aria-hidden=\"true\">\u2197<\/span><\/a><\/div><\/li><li><a class=\"nx-mledger-main\" href=\"https:\/\/therisk.global\/future-work-skills\/stem\/econometrics\/\"><span class=\"nx-mledger-n\" aria-hidden=\"true\">04<\/span><span class=\"nx-mledger-body\"><span class=\"nx-mledger-name\">Econometrics<\/span><span class=\"nx-mledger-role\">Displacement effects with linked data \u00b7 Training programme evaluation \u00b7 Workforce projections<\/span><\/span><span class=\"nx-mledger-go\"><span class=\"nx-mledger-go-label\">Applied here<\/span><svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/span><\/a><div class=\"nx-mledger-aside\"><a class=\"nx-mledger-canon\" href=\"https:\/\/therisk.global\/stem\/mathematics\/econometrics\/\" aria-label=\"Econometrics: canonical page on the STEM Commons\">Canonical \u00b7 STEM Commons <span aria-hidden=\"true\">\u2197<\/span><\/a><\/div><\/li><\/ol><aside class=\"nx-limits\" aria-label=\"What the methods cannot say\"><span class=\"nx-eyebrow\">What the methods cannot say<\/span><p class=\"nx-limits-text\">Exposure measures show potential, not actual automation. Many studies use US task data applied to other countries. Adoption surveys define technologies differently. Effects take years to appear and are hard to separate from other changes. Future of Work and Skills makes no forecast of job losses; ministries and social partners decide.<\/p><\/aside><\/div><\/div><\/div><\/section><section id=\"nx-s-14-sec\" class=\"nx-section\" data-hue=\"social\" aria-labelledby=\"nx-s-14\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">13<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">Connected<\/span><\/div><h2 id=\"nx-s-14\" class=\"nx-section-title\">Where this page leads across the Consortium.<\/h2><\/div><div class=\"nx-section-body\"><ul class=\"nx-dest\"><li><a class=\"nx-dest-card\" href=\"https:\/\/therisk.global\/ai-autonomous-systems\/topics\/labour-and-social-effects\/\"><span class=\"nx-dest-top\"><span class=\"nx-dest-rel\">Related topic<\/span><span class=\"nx-dest-host\">GCRI<\/span><\/span><span class=\"nx-dest-title\">Labour and social effects<\/span><span class=\"nx-dest-why\">Workforce evidence challenges technical AI adoption assumptions.<\/span><span class=\"nx-dest-go\" aria-hidden=\"true\"><svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/span><\/a><\/li><\/ul><\/div><\/div><\/section><section id=\"nx-s-15-sec\" class=\"nx-section\" data-hue=\"project\" data-tone=\"alt\" aria-labelledby=\"nx-s-15\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">14<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">Questions<\/span><\/div><h2 id=\"nx-s-15\" class=\"nx-section-title\">Questions and answers.<\/h2><\/div><div class=\"nx-section-body\"><div class=\"nx-faq\"><details><summary>Will automation cause mass unemployment?<\/summary><div class=\"nx-answer\">Historically, technology has changed jobs more than it has reduced total employment, but transitions are costly for affected workers. Effects of AI are still uncertain.<\/div><\/details><details><summary>What is task-based analysis?<\/summary><div class=\"nx-answer\">Analysing the effect of technology on work through the specific tasks that make up occupations, rather than treating jobs as wholes.<\/div><\/details><details><summary>Who is most exposed to automation?<\/summary><div class=\"nx-answer\">It depends on the technology. Routine manual tasks were most exposed to robots; generative AI exposes clerical and some professional tasks more.<\/div><\/details><details><summary>Is automation exposure the same as job loss?<\/summary><div class=\"nx-answer\">No. Exposure means some tasks in a job could be automated. Whether jobs are lost depends on costs, demand, regulation and how employers reorganize work.<\/div><\/details><details><summary>Does AI help or hurt less experienced workers?<\/summary><div class=\"nx-answer\">Some early studies find the largest productivity gains for less experienced workers in specific tasks. Whether that persists and translates into pay is not yet known.<\/div><\/details><details><summary>Can job redesign prevent displacement?<\/summary><div class=\"nx-answer\">It can preserve and improve many jobs, especially where workers are involved in the redesign, but it cannot offset every displacement. Transition support remains necessary.<\/div><\/details><details><summary>Does the platform advise firms on automation?<\/summary><div class=\"nx-answer\">No. It publishes research and case studies that firms, unions and governments can use.<\/div><\/details><\/div><\/div><\/div><\/section><section class=\"nx-section\" data-tone=\"alt\" aria-labelledby=\"nx-rel-16\"><div class=\"nx-container\"><span class=\"nx-eyebrow\">Related<\/span><h2 id=\"nx-rel-16\" class=\"nx-h3 nx-mt-2\">Around Future of Work and Skills.<\/h2><nav class=\"nx-related nx-mt-3\" aria-label=\"Related\"><a href=\"https:\/\/therisk.global\/future-work-skills\/topics\/labour-market-change\/\">Labour market change <svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/a><a href=\"https:\/\/therisk.global\/future-work-skills\/topics\/occupational-safety\/\">Occupational safety <svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/a><a href=\"https:\/\/therisk.global\/future-work-skills\/topics\/lifelong-learning\/\">Lifelong learning <svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/a><a href=\"https:\/\/therisk.global\/future-work-skills\/topics\/digital-work-and-platforms\/\">Digital work and platforms <svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/a><a href=\"https:\/\/therisk.global\/future-work-skills\/topics\/education-to-work-transition\/\">Education to work transition <svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/a><a href=\"https:\/\/therisk.global\/future-work-skills\/topics\/institutional-workforce-planning\/\">Institutional workforce planning <svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/a><a href=\"https:\/\/therisk.global\/future-work-skills\/\">Future of Work and Skills home <svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/a><a href=\"https:\/\/therisk.global\/future-work-skills\/counterparts\/\">Counterparts across the Consortium <svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/a><a href=\"https:\/\/therisk.global\/\">The Global Centre for Risk and Innovation home <svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/a><a href=\"https:\/\/therisk.global\/trust\/\">GCRI governance and trust <svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/a><\/nav><\/div><\/section><section class=\"nx-closing\" aria-labelledby=\"nx-close-17\"><div class=\"nx-container\"><span class=\"nx-eyebrow\">Future of Work and Skills<\/span><h2 id=\"nx-close-17\" class=\"nx-section-title\">Bring your expertise to this field.<\/h2><p class=\"nx-lede\">The current service level is R0: information and enquiries. An enquiry receives a reference and names the next step; applications, payments, compute allocations and registrations open only when their team, terms and review capacity exist.<\/p><div class=\"nx-actions\"><a class=\"nx-btn\" data-variant=\"primary\" href=\"mailto:contact@therisk.global?subject=Future%20of%20Work%20and%20Skills%3A%20Automation%20and%20jobs\">Write to the team <svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/a><a class=\"nx-btn\" data-variant=\"secondary\" href=\"https:\/\/therisk.global\/future-work-skills\/contact\/\">See all contact routes<\/a><\/div><\/div><\/section><\/div><\/div><script class=\"_iub_cs_skip\">window.__nxMount ? window.__nxMount(document.currentScript) : null;<\/script>\n\n\n<script type=\"application\/ld+json\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"FAQPage\",\"@id\":\"https:\/\/therisk.global\/future-work-skills\/topics\/automation-and-jobs\/#faq\",\"isPartOf\":{\"@id\":\"https:\/\/therisk.global\/future-work-skills\/topics\/automation-and-jobs\/#webpage\"},\"inLanguage\":\"en\",\"mainEntity\":[{\"@type\":\"Question\",\"name\":\"Will automation cause mass unemployment?\",\"acceptedAnswer\":{\"@type\":\"Answer\",\"text\":\"Historically, technology has changed jobs more than it has reduced total employment, but transitions are costly for affected workers. 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Transition support remains necessary.\"}},{\"@type\":\"Question\",\"name\":\"Does the platform advise firms on automation?\",\"acceptedAnswer\":{\"@type\":\"Answer\",\"text\":\"No. It publishes research and case studies that firms, unions and governments can use.\"}}]},{\"@type\":\"DefinedTermSet\",\"@id\":\"https:\/\/therisk.global\/future-work-skills\/topics\/automation-and-jobs\/#terms\",\"name\":\"Key terms: Automation and jobs\",\"inLanguage\":\"en\",\"isPartOf\":{\"@id\":\"https:\/\/therisk.global\/future-work-skills\/topics\/automation-and-jobs\/#webpage\"},\"hasDefinedTerm\":[{\"@type\":\"DefinedTerm\",\"name\":\"Displacement effect\",\"description\":\"The reduction in labour demand when technology takes over tasks workers performed.\",\"inDefinedTermSet\":{\"@id\":\"https:\/\/therisk.global\/future-work-skills\/topics\/automation-and-jobs\/#terms\"}},{\"@type\":\"DefinedTerm\",\"name\":\"Reinstatement effect\",\"description\":\"The increase in labour demand when technology creates new tasks for workers.\",\"inDefinedTermSet\":{\"@id\":\"https:\/\/therisk.global\/future-work-skills\/topics\/automation-and-jobs\/#terms\"}},{\"@type\":\"DefinedTerm\",\"name\":\"Augmentation\",\"description\":\"Technology that helps workers perform tasks better instead of replacing them.\",\"inDefinedTermSet\":{\"@id\":\"https:\/\/therisk.global\/future-work-skills\/topics\/automation-and-jobs\/#terms\"}}]}]}<\/script>\n\n<!-- nx-rev:113c549ecfbb3cb0 -->","protected":false},"excerpt":{"rendered":"<p>LightDarkAuto G-P17 \u00b7 TOPIC \u00b7 automation-and-jobsGCRI dossier \u00b7 service level R0 GCRI\u00b7Future of Work and Skills\u00b7In development Topic dossier \u00b7 Future of Work and Skills Automation and jobs Automation, robotics &hellip; <a href=\"https:\/\/therisk.global\/future-work-skills\/topics\/automation-and-jobs\/\" class=\"more-link\">Continue reading<span class=\"screen-reader-text\"> &#8220;Automation and jobs&#8221;<\/span><\/a><\/p>\n","protected":false},"author":1,"featured_media":0,"parent":55,"menu_order":941,"comment_status":"closed","ping_status":"closed","template":"elementor_header_footer","meta":{"_buddyx_sub_header_visibility":"","_buddyx_sub_header_title_visibility":"","_hide_show_side_panel":"","_buddyxpro_page_sidebar":"","_buddyxpro_page_disable_header":"","_buddyxpro_page_disable_footer":"","_buddyxpro_page_content_width":"","_buddyxpro_page_header_style":"","_buddyxpro_page_color_mode":"","_buddyxpro_page_loader":"","footnotes":""},"class_list":["post-74","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/therisk.global\/future-work-skills\/wp-json\/wp\/v2\/pages\/74","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/therisk.global\/future-work-skills\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/therisk.global\/future-work-skills\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/therisk.global\/future-work-skills\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/therisk.global\/future-work-skills\/wp-json\/wp\/v2\/comments?post=74"}],"version-history":[{"count":2,"href":"https:\/\/therisk.global\/future-work-skills\/wp-json\/wp\/v2\/pages\/74\/revisions"}],"predecessor-version":[{"id":188,"href":"https:\/\/therisk.global\/future-work-skills\/wp-json\/wp\/v2\/pages\/74\/revisions\/188"}],"up":[{"embeddable":true,"href":"https:\/\/therisk.global\/future-work-skills\/wp-json\/wp\/v2\/pages\/55"}],"wp:attachment":[{"href":"https:\/\/therisk.global\/future-work-skills\/wp-json\/wp\/v2\/media?parent=74"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}