{"id":35687,"date":"2026-10-10T09:00:00","date_gmt":"2026-10-10T07:00:00","guid":{"rendered":"https:\/\/www.digital-chiefs.de\/?p=35687"},"modified":"2026-10-15T21:08:24","modified_gmt":"2026-10-15T19:08:24","slug":"cios-should-schedule-ai-learning-during-work","status":"publish","type":"post","link":"https:\/\/www.digital-chiefs.de\/en\/cios-should-schedule-ai-learning-during-work\/","title":{"rendered":"CIOs Should Make AI Learning Time a Fixed Part of Working Hours"},"content":{"rendered":"<p style=\"display:inline-block;background:#d65663;color:#fff;padding:4px 14px;border-radius:20px;font-size:0.85em;margin-bottom:18px;\">4 min read<\/p>\n<p><strong>AI literacy is entering performance reviews and job interviews. Yet only 24 percent of surveyed employees have working-time rules that include learning, although Article 4 of the AI Act requires deployers to support its development. Relegating AI experiments to employees\u2019 own time shifts a management responsibility onto staff.<\/strong><\/p>\n<div style=\"background:#f6f1e6;border-radius:8px;padding:22px 26px;margin:28px 0 34px;border:1px solid rgba(32,37,40,0.12);\">\n<p style=\"margin:0 0 14px 0;font-size:0.76em;font-weight:700;text-transform:uppercase;letter-spacing:0.16em;color:#c0414e;\">Key takeaways<\/p>\n<ul style=\"margin:0;padding-left:22px;color:#23303f;line-height:1.6;\">\n<li style=\"margin-bottom:12px;\"><strong style=\"color:#0d1b2a;\">The learning gap is organizational.<\/strong> 79 percent of surveyed employees want to improve their AI literacy; only 24 percent have working-time rules that include learning.<\/li>\n<li style=\"margin-bottom:12px;\"><strong style=\"color:#0d1b2a;\">The Article 4 obligation remains.<\/strong> Since the July 2026 revision, deployers must take measures to support staff AI literacy without having to guarantee a specific level.<\/li>\n<li style=\"margin-bottom:12px;\"><strong style=\"color:#0d1b2a;\">IT leaders control three levers.<\/strong> A fixed time allocation, assessment criteria distinguishing producers from consumers and revised interview guidelines beyond an AI-first label.<\/li>\n<\/ul>\n<\/div>\n<p style=\"font-size:0.88em;color:#666;margin:20px 0 32px 0;border-bottom:1px solid #e5e5e5;padding:10px 0;\"><span style=\"color:#0a1e3d;font-weight:700;text-transform:uppercase;font-size:0.72em;letter-spacing:0.14em;margin-right:14px;\">Related<\/span><a href=\"https:\/\/www.digital-chiefs.de\/en\/google-pays-publishers-for-ai-answers\/\" style=\"color:#333;text-decoration:underline;\">Google Pays Publishers for AI Answers<\/a><\/p>\n<h2>Huntley\u2019s Argument and the Objection<\/h2>\n<p>On 9 October, developer Geoffrey Huntley published <a href=\"https:\/\/ghuntley.com\/replaced\/\">\u201creplaced\u201d<\/a>. He argues that AI use is no longer optional in software careers. He advises hiring managers to schedule development time and assess employees\u2019 AI literacy. He distinguishes producers, who automate workflows with AI, from consumers, who simply use the tools. He leaves the assessment methodology unspecified.<\/p>\n<p>Software engineer Addy Osmani responded to Huntley\u2019s post with <a href=\"https:\/\/x.com\/addyosmani\/status\/2108969481271939340\">an objection<\/a> that shifts the debate toward organizational responsibility. A team allowed to experiment with AI only after hours receives an implicit message that its use does not count. This raises the question of when employees should develop the required skills.<\/p>\n<p><strong>What distinguishes producers from consumers?<\/strong> Developer Geoffrey Huntley proposes this distinction to assess employees\u2019 AI literacy. Producers automate workflows with AI; consumers simply use the tools. No assessment methodology exists, so companies must define their own criteria.<\/p>\n<h2>Willingness to Learn Meets Working Hours<\/h2>\n<p>Among employees surveyed for Bitkom Akademie\u2019s <a href=\"https:\/\/bitkom-akademie.de\/weiterbildungsstudie-2026\">2026 continuing education study<\/a>, 73 percent use AI at work, up from 64 percent in 2025. 79 percent want to improve their AI literacy. Yet only 24 percent have working-time rules that include learning. Only 21 percent also report that their manager actively raises professional development.<\/p>\n<p>A contradiction emerges at management level. To address changing skill requirements, 77 percent of surveyed executives primarily favor training existing employees over automation and recruitment. 45 percent acknowledge that investment favors technology over training. 51 percent have embedded professional development in their strategy.<\/p>\n<p>The gap is therefore organizational. Leaders favor training but invest more in technology and rarely schedule learning time. Companies also cite time constraints in a representative <a href=\"https:\/\/www.bitkom.org\/Presse\/Presseinformation\/Digitalisierung-der-Wirtschaft-Unternehmen-beschaeftigen-sich-mit-KI\">Bitkom survey<\/a> conducted in March among 604 companies with at least 20 employees. 41 percent use AI, up from 17 percent the previous year. 66 percent cite insufficient time as a barrier to digitalization.<\/p>\n<h2>What Article 4 Requires<\/h2>\n<p>Article 4 of the AI Act has applied since 2 February 2025. It was revised by <a href=\"https:\/\/eur-lex.europa.eu\/legal-content\/DE\/TXT\/HTML\/?uri=OJ:L_202601744\">Omnibus Regulation (EU) 2026\/1744<\/a>, effective since 27 July 2026. It requires providers and deployers to take measures supporting their staff\u2019s AI literacy development. Deployers are companies using AI systems. They are explicitly exempt from guaranteeing any individual\u2019s specific level of competence.<\/p>\n<p>According to the <a href=\"https:\/\/www.bundesnetzagentur.de\/DE\/Fachthemen\/Digitales\/KI\/7_Kompetenz\/artikel.html\">Federal Network Agency (Bundesnetzagentur)<\/a>, this obligation covers deployers of all sizes, including those using general-purpose chatbots. Insufficient AI literacy can constitute a breach of the duty of care, particularly when harm occurs.<\/p>\n<h2>Including Learning Time in Capacity Planning<\/h2>\n<p>The first lever for CIOs is a fixed time allocation for experimentation. This belongs in capacity planning: allocating available team hours to operations, projects and further development. Huntley\u2019s advice to schedule development time points in the same direction. Following Osmani\u2019s logic, this allocation sends the opposite signal: AI use counts. It also constitutes a concrete measure of the kind Article 4 requires from deployers.<\/p>\n<h2>Rethinking Assessment and Hiring<\/h2>\n<p>The second lever concerns performance reviews. Distinguishing producers from consumers offers an assessment standard beyond mere use. Without a methodology, IT leaders must define their own criteria, such as which automated workflows qualify as documentary proof. This standard remains fair only if schedules allow time to progress from consumer to producer.<\/p>\n<p>The third lever is the interview guide. Huntley identifies opposition to AI, covert AI use during interviews and a lack of firsthand experience as warning signs. His baseline is being able to explain at a whiteboard how a coding agent works with a context window and tokenization. A coding agent is an AI tool that independently writes and modifies code. The context window is the amount of text a language model processes at once; tokenization splits text into small computational units. He considers personal projects a strong indicator, and verifiable organizational changes for managers.<\/p>\n<p>A purely AI-first label that makes AI affinity the primary hiring criterion has a downside. In the thread on Huntley\u2019s post, <a href=\"https:\/\/x.com\/bertlef_\/status\/2108972481017188417\">the account @bertlef_ warns<\/a> that hiring only AI-oriented people could harm a team because nobody would solve problems without tools.<\/p>\n<p>Michael Taiwo commented on the provocative recommendation to quit if an employer bans AI. AI literacy matters, he argued, but quitting is <a href=\"https:\/\/x.com\/AskMichaelTaiwo\/status\/2108998248501502261\">costly advice<\/a> for someone paying rent for three people.<\/p>\n<h2>Frequently Asked Questions<\/h2>\n<details style=\"background:#f9f9f9;padding:16px 20px;margin:12px 0;border-radius:4px;\">\n<summary style=\"font-weight:700;cursor:pointer;color:#1a1a2e;\">Does Article 4 require specific training?<\/summary>\n<p style=\"margin:12px 0 0 0;\">According to the Federal Network Agency, Article 4 requires neither a specific training format nor certification or an AI officer. However, documenting the measures taken is recommended.<\/p>\n<\/details>\n<details style=\"background:#f9f9f9;padding:16px 20px;margin:12px 0;border-radius:4px;\">\n<summary style=\"font-weight:700;cursor:pointer;color:#1a1a2e;\">Did the Omnibus weaken the AI literacy obligation?<\/summary>\n<p style=\"margin:12px 0 0 0;\">The Commission\u2019s original proposal to turn the obligation into a recommendation did not prevail. The revision under Regulation (EU) 2026\/1744 retains the obligation to take supportive measures, excluding only the guarantee of a specific level of individual competence.<\/p>\n<\/details>\n<details style=\"background:#f9f9f9;padding:16px 20px;margin:12px 0;border-radius:4px;\">\n<summary style=\"font-weight:700;cursor:pointer;color:#1a1a2e;\">How reliable are the learning-time figures?<\/summary>\n<p style=\"margin:12px 0 0 0;\">The 2026 continuing education study surveyed 1,275 workers and 84 executive management members in calendar weeks 17 to 22; its results are not representative. The Bitkom survey of 604 companies was designed to be representative. Respondents ranked data protection requirements at 77 percent and skills shortages at 70 percent ahead of time constraints as barriers to digitalization.<\/p>\n<\/details>\n<p style=\"margin:0 0 12px 0;font-size:0.78em;font-weight:700;text-transform:uppercase;letter-spacing:0.18em;color:#666;\">More from the MBF Media Network<\/p>\n<div style=\"padding:14px 18px;border-left:3px solid #0bb7fd;background:#fafafa;margin-bottom:6px;\">\n<div style=\"font-size:0.7em;font-weight:700;color:#0bb7fd;text-transform:uppercase;letter-spacing:0.12em;margin-bottom:4px;\">cloudmagazin<\/div>\n<p><a href=\"https:\/\/www.cloudmagazin.com\/en\/2026\/10\/06\/kubermatic-ceo-scheele-run-ai-models-like-software\/\" style=\"font-weight:600;line-height:1.4;color:#1a1a1a;text-decoration:none;\">Kubermatic CEO Scheele: Run AI models like software<\/a><\/p>\n<\/div>\n<div style=\"padding:14px 18px;border-left:3px solid #202528;background:#fafafa;margin-bottom:6px;\">\n<div style=\"font-size:0.7em;font-weight:700;color:#202528;text-transform:uppercase;letter-spacing:0.12em;margin-bottom:4px;\">mybusinessfuture<\/div>\n<p><a href=\"https:\/\/mybusinessfuture.com\/en\/every-fourth-sap-user-cuts-it-budget\/\" style=\"font-weight:600;line-height:1.4;color:#1a1a1a;text-decoration:none;\">One in Four SAP Users Is Cutting Their IT Budget<\/a><\/p>\n<\/div>\n<div style=\"padding:14px 18px;border-left:3px solid #69d8ed;background:#fafafa;\">\n<div style=\"font-size:0.7em;font-weight:700;color:#69d8ed;text-transform:uppercase;letter-spacing:0.12em;margin-bottom:4px;\">securitytoday<\/div>\n<p><a href=\"https:\/\/www.securitytoday.de\/en\/2026\/10\/06\/cyber-insurance-evidence-policy-at-risk\/\" style=\"font-weight:600;line-height:1.4;color:#1a1a1a;text-decoration:none;\">Cyber insurance: lack of evidence puts the policy at risk<\/a><\/p>\n<\/div>\n<p style=\"text-align:right;color:#868e96;font-size:0.75em;margin-top:40px;\"><em>Header image source: AI-generated (October 2026)<\/em><\/p>\n","protected":false},"excerpt":{"rendered":"<p>73 percent of surveyed employees use AI, but only 24 percent have working-time rules that include learning. The gap is organizational.<\/p>\n","protected":false},"author":47,"featured_media":35571,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_yoast_wpseo_focuskw":"AI literacy","_yoast_wpseo_title":"CIOs Should Make AI Learning Time a Fixed Part of Working Hours","_yoast_wpseo_metadesc":"73 percent of surveyed employees use AI, but only 24 percent have working-time rules that include learning. 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