{"id":215698,"date":"2026-05-18T12:14:00","date_gmt":"2026-05-18T16:14:00","guid":{"rendered":"https:\/\/testing.news-you-need.com\/index.php\/2026\/05\/18\/ai-transformation-wont-work-without-meaning\/"},"modified":"2026-05-18T12:25:08","modified_gmt":"2026-05-18T16:25:08","slug":"ai-transformation-wont-work-without-meaning","status":"publish","type":"post","link":"https:\/\/testing.news-you-need.com\/index.php\/2026\/05\/18\/ai-transformation-wont-work-without-meaning\/","title":{"rendered":"AI Transformation Won\u2019t Work Without Meaning"},"content":{"rendered":"<p><a href=\"https:\/\/www.psychologytoday.com\/us\/blog\/meaningful-work\/202605\/ai-transformation-wont-work-without-meaning\">AI Transformation Won\u2019t Work Without Meaning<\/a><\/p>\n<p><a href=\"https:\/\/www.psychologytoday.com\/us\/blog\/meaningful-work\/202605\/ai-transformation-wont-work-without-meaning\">https:\/\/www.psychologytoday.com\/us\/blog\/meaningful-work\/202605\/ai-transformation-wont-work-without-meaning<\/a><\/p>\n<p>Publish Date: <a href=\"publish_date]\">2026-05-18 12:14:00<\/a><\/p>\n<p>Source Domain: <a href=\"www.psychologytoday.com\">www.psychologytoday.com<\/a><\/p>\n<ul>\n<li>The increasing adoption of artificial intelligence (AI) poses significant questions for workplace leaders, questioning which tools to adopt, which roles will change, and how to boost productivity amidst rapid technological changes.<\/li>\n<li>Gallup&#8217;s State of the Global Workplace 2026 report highlights a troubling trend: global employee engagement has declined to its lowest level since 2020, costing the global economy approximately $10 trillion in lost productivity.<\/li>\n<li>While AI has positively impacted personal productivity for 65% of U.S. workers, only 12% feel it has transformed their organizational workflows, indicating a significant gap in perceived transformation.<\/li>\n<li>Employee engagement in a period of disruption is more than just morale; it serves as a strategic indicator of &#8220;readiness for change,&#8221; involving trust, coordination, learning, judgment, and shared commitment.<\/li>\n<li>Gallup argues that meaningful work is pivotal for understanding and navigating the transition to AI, serving as infrastructure that helps employees see the purpose, value, and opportunities in change.<\/li>\n<li>To foster readiness for AI-driven change, leaders should focus on three core experiences: community (developing trust), contribution (understanding purpose), and challenge (growth and development).<\/li>\n<li>In times of uncertainty, trust is built through honest and open communication. Community within teams is essential to handle anxiety and encourage collaboration.<\/li>\n<li>Contribution involves making clear the human value of the change, emphasizing how AI aids in serving and improving lives, which can inspire greater commitment and engagement.<\/li>\n<li>Challenge means supporting employees&#8217; growth to meet new demands, recognizing when change is meant to develop capabilities versus create undue pressure, and addressing potential lack of resources or clarity when adaptation is difficult.<\/li>\n<li>Meaningful work is crucial as a form of change infrastructure that enables employees to feel they are part of, and benefiting from, the transition to an AI-enhanced future, ultimately making it a shared and trusting endeavor.<\/li>\n<\/ul>\n<p><\/p>\n","protected":false},"excerpt":{"rendered":"<p>AI Transformation Won\u2019t Work Without Meaning https:\/\/www.psychologytoday.com\/us\/blog\/meaningful-work\/202605\/ai-transformation-wont-work-without-meaning Publish Date: 2026-05-18 12:14:00 Source Domain: www.psychologytoday.com The&#8230;<\/p>\n","protected":false},"author":1,"featured_media":215699,"comment_status":"closed","ping_status":"","sticky":false,"template":"","format":"standard","meta":{"fifu_image_url":"https:\/\/cdn2.psychologytoday.com\/assets\/styles\/manual_crop_1_91_1_1528x800\/public\/teaser_image\/blog_entry\/2026-05\/pexels-yankrukov-7793714.jpg?itok=RPUb9Ap-","fifu_image_alt":"","footnotes":""},"categories":[14],"tags":[20],"class_list":["post-215698","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\/215698"}],"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=215698"}],"version-history":[{"count":1,"href":"https:\/\/testing.news-you-need.com\/index.php\/wp-json\/wp\/v2\/posts\/215698\/revisions"}],"predecessor-version":[{"id":215700,"href":"https:\/\/testing.news-you-need.com\/index.php\/wp-json\/wp\/v2\/posts\/215698\/revisions\/215700"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/testing.news-you-need.com\/index.php\/wp-json\/wp\/v2\/media\/215699"}],"wp:attachment":[{"href":"https:\/\/testing.news-you-need.com\/index.php\/wp-json\/wp\/v2\/media?parent=215698"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/testing.news-you-need.com\/index.php\/wp-json\/wp\/v2\/categories?post=215698"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/testing.news-you-need.com\/index.php\/wp-json\/wp\/v2\/tags?post=215698"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}