{"id":65440,"date":"2026-02-20T08:09:01","date_gmt":"2026-02-20T08:09:01","guid":{"rendered":"https:\/\/lirneasia.net\/futureworksasia\/?p=65440"},"modified":"2026-02-20T08:14:36","modified_gmt":"2026-02-20T08:14:36","slug":"interpreting-ai-exposure-estimates-implications-for-low-and-middle-income-countries","status":"publish","type":"post","link":"https:\/\/lirneasia.net\/futureworksasia\/2026\/02\/interpreting-ai-exposure-estimates-implications-for-low-and-middle-income-countries\/","title":{"rendered":"Interpreting AI Exposure Estimates: Implications for Low- and Middle-Income Countries"},"content":{"rendered":"\n<p>Artificial intelligence is reshaping debates about the future of work across the world. This policy note examines how AI exposure is measured, reviews the occupational data and methodologies underlying widely cited estimates, and discusses what these approaches imply for labour markets in low- and middle-income countries.<\/p>\n\n\n\n<div data-wp-interactive=\"core\/file\" class=\"wp-block-file\"><object data-wp-bind--hidden=\"!state.hasPdfPreview\" hidden class=\"wp-block-file__embed\" data=\"https:\/\/lirneasia.net\/futureworksasia\/wp-content\/uploads\/2026\/02\/AI-exposure-metrics_20Feb2026.pdf\" type=\"application\/pdf\" style=\"width:100%;height:600px\" aria-label=\"Embed of AI exposure metrics_20Feb2026.\"><\/object><a id=\"wp-block-file--media-17716d09-560d-497a-8acd-72deb076ae42\" href=\"https:\/\/lirneasia.net\/futureworksasia\/wp-content\/uploads\/2026\/02\/AI-exposure-metrics_20Feb2026.pdf\">AI exposure metrics_20Feb2026<\/a><a href=\"https:\/\/lirneasia.net\/futureworksasia\/wp-content\/uploads\/2026\/02\/AI-exposure-metrics_20Feb2026.pdf\" class=\"wp-block-file__button wp-element-button\" download aria-describedby=\"wp-block-file--media-17716d09-560d-497a-8acd-72deb076ae42\">Download<\/a><\/div>\n","protected":false},"excerpt":{"rendered":"<p>Artificial intelligence is reshaping debates about the future of work across the world. This policy note examines how AI exposure is measured, reviews the occupational data and methodologies underlying widely cited estimates, and discusses what these approaches imply for labour markets in low- and middle-income countries.<\/p>\n","protected":false},"author":2,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[4],"tags":[],"coauthors":[36],"class_list":["post-65440","post","type-post","status-publish","format-standard","hentry","category-publications"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.4 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Interpreting AI Exposure Estimates: Implications for Low- and Middle-Income Countries - FutureWORKS Asia<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/lirneasia.net\/futureworksasia\/2026\/02\/interpreting-ai-exposure-estimates-implications-for-low-and-middle-income-countries\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Interpreting AI Exposure Estimates: Implications for Low- and Middle-Income Countries - FutureWORKS Asia\" \/>\n<meta property=\"og:description\" content=\"Artificial intelligence is reshaping debates about the future of work across the world. 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