{"id":196543,"date":"2026-03-17T00:23:00","date_gmt":"2026-03-17T04:23:00","guid":{"rendered":"https:\/\/testing.news-you-need.com\/index.php\/2026\/03\/17\/gender-productivity-paradox-artificial-intelligence-is-failing-women\/"},"modified":"2026-03-17T00:30:11","modified_gmt":"2026-03-17T04:30:11","slug":"gender-productivity-paradox-artificial-intelligence-is-failing-women","status":"publish","type":"post","link":"https:\/\/testing.news-you-need.com\/index.php\/2026\/03\/17\/gender-productivity-paradox-artificial-intelligence-is-failing-women\/","title":{"rendered":"Gender Productivity Paradox: Artificial Intelligence Is Failing Women"},"content":{"rendered":"<p><a href=\"https:\/\/www.ictworks.org\/gender-productivity-paradox\/\">Gender Productivity Paradox: Artificial Intelligence Is Failing Women<\/a><\/p>\n<p><a href=\"https:\/\/www.ictworks.org\/gender-productivity-paradox\/\">https:\/\/www.ictworks.org\/gender-productivity-paradox\/<\/a><\/p>\n<p>Publish Date: <a href=\"publish_date]\">2026-03-17 00:23:00<\/a><\/p>\n<p>Source Domain: <a href=\"www.ictworks.org\">www.ictworks.org<\/a><\/p>\n<ul>\n<li>\n<p><strong>Significance of AI&#8217;s Economic Impact:<\/strong> AI&#8217;s projected addition of $19.9 trillion to the global economy by 2030 is accompanied by a gender productivity paradox, increasing gender disparities in income, work allocation, and economic agency.<\/p>\n<\/li>\n<li>\n<p><strong>Measurable Gender Crisis from AI:<\/strong> Econometric analysis across 142 countries shows that for every 10-percentage-point increase in female-centric AI adoption, female labor-force participation rises only marginally and the gender wage gap narrows very slightly.<\/p>\n<\/li>\n<li>\n<p><strong>Concentration in Female-Centric Roles:<\/strong> Women are predominantly in clerical and administrative roles, which are prone to automation by AI. While AI is seen to streamline programs, it threatens the jobs women depend on.<\/p>\n<\/li>\n<li>\n<p><strong>Humanitarian Risks:<\/strong> AI&#8217;s deployment in sectors like agricultural credit scoring, despite increasing women&#8217;s financial access, often places data control in male-dominated tech teams, creating new forms of gender-based digital dependency.<\/p>\n<\/li>\n<li>\n<p><strong>Care Economy Neglect:<\/strong> Global women perform 75% of unpaid care work, yet this invisible economy isn&#8217;t accounted for in AI benefits calculations, perpetuating gender disparities and underestimating the true value of women&#8217;s roles.<\/p>\n<\/li>\n<li>\n<p><strong>Urgency for Feminist Tech:<\/strong> The development sector is urged to adopt \u201cFeminist General Purpose Technology\u201d to ensure productivity gains from AI do not exacerbate gender inequality, emphasizing continuous monitoring and fairness.<\/p>\n<\/li>\n<li>\n<p><strong>Economic and Humanitarian Implications:<\/strong> Recognizing unpaid care work as infrastructure is essential. Without this recognition, AI systems risk increasing women&#8217;s workload while claiming productivity gains, impacting broader health, education, and economic development.<\/p>\n<\/li>\n<\/ul>\n<p><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Gender Productivity Paradox: Artificial Intelligence Is Failing Women https:\/\/www.ictworks.org\/gender-productivity-paradox\/ Publish Date: 2026-03-17 00:23:00 Source Domain:&#8230;<\/p>\n","protected":false},"author":1,"featured_media":196544,"comment_status":"closed","ping_status":"","sticky":false,"template":"","format":"standard","meta":{"fifu_image_url":"https:\/\/i0.wp.com\/www.ictworks.org\/wp-content\/uploads\/2017\/11\/muslim-woman-ict4d.png?fit=640%2C426&ssl=1","fifu_image_alt":"","footnotes":""},"categories":[14],"tags":[20],"class_list":["post-196543","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-artificial-intelligence","tag-artificial-intelligence"],"_links":{"self":[{"href":"https:\/\/testing.news-you-need.com\/index.php\/wp-json\/wp\/v2\/posts\/196543"}],"collection":[{"href":"https:\/\/testing.news-you-need.com\/index.php\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/testing.news-you-need.com\/index.php\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/testing.news-you-need.com\/index.php\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/testing.news-you-need.com\/index.php\/wp-json\/wp\/v2\/comments?post=196543"}],"version-history":[{"count":1,"href":"https:\/\/testing.news-you-need.com\/index.php\/wp-json\/wp\/v2\/posts\/196543\/revisions"}],"predecessor-version":[{"id":196545,"href":"https:\/\/testing.news-you-need.com\/index.php\/wp-json\/wp\/v2\/posts\/196543\/revisions\/196545"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/testing.news-you-need.com\/index.php\/wp-json\/wp\/v2\/media\/196544"}],"wp:attachment":[{"href":"https:\/\/testing.news-you-need.com\/index.php\/wp-json\/wp\/v2\/media?parent=196543"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/testing.news-you-need.com\/index.php\/wp-json\/wp\/v2\/categories?post=196543"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/testing.news-you-need.com\/index.php\/wp-json\/wp\/v2\/tags?post=196543"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}