{"id":3595,"date":"2025-10-08T11:16:13","date_gmt":"2025-10-08T03:16:13","guid":{"rendered":"https:\/\/moresourcing.com\/5-critical-skills-leaders-need-in-the-age-of-ai\/"},"modified":"2025-10-08T11:16:13","modified_gmt":"2025-10-08T03:16:13","slug":"5-critical-skills-leaders-need-in-the-age-of-ai","status":"publish","type":"post","link":"https:\/\/moresourcing.com\/en\/5-critical-skills-leaders-need-in-the-age-of-ai\/","title":{"rendered":"5 Critical Skills Leaders Need in the Age of AI"},"content":{"rendered":"<p><\/p>\n<div>\n<p class=\"Paragraph_text__yGFNO\" data-first-paragraph=\"true\">A recent\u00a0<em>Financial Times<\/em>\u00a0<a href=\"https:\/\/www.ft.com\/content\/e93e56df-dd9b-40c1-b77a-dba1ca01e473\" class=\"ContentLink_anchor__Q6_U6\">analysis<\/a> of S&amp;P 500 filings found that 374 companies mentioned AI on their earnings calls last year\u2014and nearly nine out of 10 described it in glowing terms. When pressed to explain the upside, however, most leaders fell back on vague promises of still unrealized \u201cproductivity gains.\u201d Not only that, their annual reports were far clearer about risks than tangible benefits. Why? As <a href=\"https:\/\/www.evolutionltd.net\/post\/how-disruptive-will-generative-ai-be-a-micro-level-analysis-of-evidence-and-expectations\" class=\"ContentLink_anchor__Q6_U6\">one of us found<\/a> in a project involving more than 300 board directors, not only are AI pilots not sure to deliver, but employees, <a href=\"https:\/\/hbr.org\/2025\/08\/research-the-hidden-penalty-of-using-ai-at-work\" class=\"ContentLink_anchor__Q6_U6\">fearful of AI<\/a>, don\u2019t take advantage of its potential, and AI projects don\u2019t address the way organizations work and add value.<\/p>\n<\/div>\n<p><script async=\"\" defer=\"\" crossorigin=\"anonymous\" src=\"https:\/\/connect.facebook.net\/en_US\/sdk.js#version=v19.2&amp;appId=1761258887507575&amp;xfbml=false&amp;status=true\"><\/script><\/p>\n<p>#Critical #Skills #Leaders #Age<\/p>\n","protected":false},"excerpt":{"rendered":"<p>A recent\u00a0Financial Times\u00a0analysis of S&amp;P 500 filings found that 374 companies mentioned AI on their earnings calls last year\u2014and nearly nine out of 10 described it in glowing terms. When pressed to explain the upside, however, most leaders fell back on vague promises of still unrealized \u201cproductivity gains.\u201d Not only that, their annual reports were [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":3596,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"_monsterinsights_skip_tracking":false,"footnotes":""},"categories":[9],"tags":[],"class_list":["post-3595","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-management"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v25.7.1 (Yoast SEO v25.8) - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>5 Critical Skills Leaders Need in the Age of AI - MORE SOURCING LTD<\/title>\n<meta name=\"description\" content=\"To thrive in the rapidly evolving age of generative AI, senior leaders need to recognize that success hinges less on the technology itself than on leadership and organizational transformation. In particular, they\u2019ll need to develop five key skills: 1) cultivating AI fluency by engaging with diverse networks and fostering cross-industry conversations; 2) redesigning organizational structures to unlock AI\u2019s value; 3) orchestrating collaborative decision-making between people and AI; 4) empowering teams through coaching and psychological safety; and 5) modeling personal experimentation with AI to inspire broader adoption. 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In particular, they\u2019ll need to develop five key skills: 1) cultivating AI fluency by engaging with diverse networks and fostering cross-industry conversations; 2) redesigning organizational structures to unlock AI\u2019s value; 3) orchestrating collaborative decision-making between people and AI; 4) empowering teams through coaching and psychological safety; and 5) modeling personal experimentation with AI to inspire broader adoption. 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