{"id":34420,"date":"2026-09-05T09:00:00","date_gmt":"2026-09-05T07:00:00","guid":{"rendered":"https:\/\/www.digital-chiefs.de\/?p=34420"},"modified":"2026-10-16T08:47:39","modified_gmt":"2026-10-16T06:47:39","slug":"mckinsey-eight-out-of-ten-companies-accelerate-with-ai-while-ebit-remains","status":"publish","type":"post","link":"https:\/\/www.digital-chiefs.de\/en\/mckinsey-eight-out-of-ten-companies-accelerate-with-ai-while-ebit-remains\/","title":{"rendered":"McKinsey: Eight in ten faster with AI, EBIT unchanged"},"content":{"rendered":"<p style=\"display:inline-block;background:#d65663;color:#fff;padding:4px 14px;border-radius:20px;font-size:0.85em;margin-bottom:18px;\">5 min read<\/p>\n<p><strong>Eight in ten respondents work faster with AI. Yet its profit contribution has remained unchanged for a year. That is the finding of McKinsey&#8217;s latest survey of 1,719 professionals and executives. Three days later, the same consultancy presents a playbook promising 20 percent more EBITDA.<\/strong><\/p>\n<div style=\"background:#f6f1e6;border-left:4px solid #d65663;border-radius:0 8px 8px 0;padding:22px 26px;margin:28px 0 34px;\">\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;\">37 percent of organizations report a positive EBIT impact from AI, the same share as in 2025.<\/strong> Its profit contribution stagnates despite far more companies deploying AI enterprise-wide.<\/li>\n<li style=\"margin-bottom:12px;\"><strong style=\"color:#0d1b2a;\">80 percent of respondents report higher personal productivity.<\/strong> Leaders achieve this by redesigning workflows; most companies add tools to existing processes.<\/li>\n<li style=\"margin-bottom:12px;\"><strong style=\"color:#0d1b2a;\">14 percent report that AI reduced headcount last year.<\/strong> More than twice as many had expected this.<\/li>\n<li style=\"margin-bottom:12px;\"><strong style=\"color:#0d1b2a;\">McKinsey&#8217;s playbook draws on 20 selected companies rather than the full survey.<\/strong> The 20 percent EBITDA increase comes from these cases rather than the survey sample.<\/li>\n<\/ul>\n<\/div>\n<p style=\"font-size:0.88em;color:#666;margin:20px 0 32px 0;border-top:1px solid #e5e5e5;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>Define the decision thesis before the org chart&nbsp;&nbsp;<span style=\"color:#ccc;\">\/<\/span>&nbsp;&nbsp;Why AI fails at master data<\/p>\n<h2 style=\"margin-top:32px;margin-bottom:16px;\">Employees work faster, profits stand still<\/h2>\n<p>For its <a href=\"https:\/\/www.mckinsey.com\/capabilities\/quantumblack\/our-insights\/the-state-of-ai\">State of AI 2026<\/a> survey, McKinsey questioned around 1,700 professionals and executives in 97 countries in May and June 2026. Eight in ten respondents say AI has accelerated their own work.<\/p>\n<p>McKinsey&#8217;s analysis identifies the resulting gap: people work faster, but their companies earn no more. 37 percent of organizations report a positive contribution to EBIT, or earnings before interest and taxes. That figure was unchanged from a year earlier, despite substantially more organizations deploying AI enterprise-wide since then. Even the leaders have stalled: six percent attribute at least five percent of their EBIT to AI. McKinsey calls them high performers.<\/p>\n<div style=\"overflow-x:auto;margin:22px 0 8px;\">\n<table style=\"width:100%;min-width:560px;border-collapse:collapse;margin:0;font-size:0.95em;\">\n<thead>\n<tr>\n<th style=\"text-align:left;padding:10px 12px;border-bottom:2px solid #0a1e3d;background:#f4f1ea;\">Survey metric<\/th>\n<th style=\"text-align:left;padding:10px 12px;border-bottom:2px solid #0a1e3d;background:#f4f1ea;\">2026<\/th>\n<th style=\"text-align:left;padding:10px 12px;border-bottom:2px solid #0a1e3d;background:#f4f1ea;\">Previous year<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td style=\"padding:10px 12px;border-bottom:1px solid #e5e5e5;\">Positive EBIT contribution from AI<\/td>\n<td style=\"padding:10px 12px;border-bottom:1px solid #e5e5e5;\">37 percent<\/td>\n<td style=\"padding:10px 12px;border-bottom:1px solid #e5e5e5;\">37 percent<\/td>\n<\/tr>\n<tr>\n<td style=\"padding:10px 12px;border-bottom:1px solid #e5e5e5;\">High performers (at least 5 percent of EBIT from AI)<\/td>\n<td style=\"padding:10px 12px;border-bottom:1px solid #e5e5e5;\">6 percent<\/td>\n<td style=\"padding:10px 12px;border-bottom:1px solid #e5e5e5;\">6 percent<\/td>\n<\/tr>\n<tr>\n<td style=\"padding:10px 12px;border-bottom:1px solid #e5e5e5;\">Higher personal productivity<\/td>\n<td style=\"padding:10px 12px;border-bottom:1px solid #e5e5e5;\">80 percent<\/td>\n<td style=\"padding:10px 12px;border-bottom:1px solid #e5e5e5;\">Not reported<\/td>\n<\/tr>\n<tr>\n<td style=\"padding:10px 12px;border-bottom:1px solid #e5e5e5;\">High performers fundamentally redesigning workflows<\/td>\n<td style=\"padding:10px 12px;border-bottom:1px solid #e5e5e5;\">nearly 75 percent<\/td>\n<td style=\"padding:10px 12px;border-bottom:1px solid #e5e5e5;\">55 percent<\/td>\n<\/tr>\n<tr>\n<td style=\"padding:10px 12px;border-bottom:1px solid #e5e5e5;\">Other respondents redesigning workflows<\/td>\n<td style=\"padding:10px 12px;border-bottom:1px solid #e5e5e5;\">around 25 percent<\/td>\n<td style=\"padding:10px 12px;border-bottom:1px solid #e5e5e5;\">Not reported<\/td>\n<\/tr>\n<tr>\n<td style=\"padding:10px 12px;border-bottom:1px solid #e5e5e5;\">AI reduced headcount (reported)<\/td>\n<td style=\"padding:10px 12px;border-bottom:1px solid #e5e5e5;\">14 percent<\/td>\n<td style=\"padding:10px 12px;border-bottom:1px solid #e5e5e5;\">32 percent (previous year&#8217;s expectation)<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p style=\"font-size:0.9em;color:#555;margin:12px 0 22px;\">Source: McKinsey, The State of AI 2026, online survey of 1,719 participants in 97 countries, conducted May to June 2026, weighted by share of gross domestic product (GDP).<\/p>\n<\/div>\n<p>The burden is uneven. 47 percent of middle managers and administrative staff report at least one negative consequence of AI use, compared with 31 percent of board members and senior executives. Those working with the tools daily feel the friction. Those approving the investment mainly see the acceleration.<\/p>\n<h2 style=\"margin-top:32px;margin-bottom:16px;\">The 20 percent EBITDA increase comes from 20 selected companies<\/h2>\n<p>Three days after the survey, McKinsey Quarterly published \u201cThe new management playbook for AI\u201d. Its opening sentence says 94 percent of companies have yet to generate meaningful value. The footnote points back to the same survey: this is the other side of the six percent of high performers. There is no second study behind it.<\/p>\n<p>Next come 20 selected companies that McKinsey itself advised. After three years, their EBITDA, or earnings before interest, taxes, depreciation and amortization, is up a fifth on average. Behind this are investments in the tens to hundreds of millions, involving those same 20 client cases rather than a global sample.<\/p>\n<p>Both figures can be correct because they describe different things. The survey is a weighted global sample. The playbook is a selection of successful cases from the same consultancy that sells these transformations. Across the broader survey, AI&#8217;s EBIT contribution remains unchanged.<\/p>\n<h2 style=\"margin-top:32px;margin-bottom:16px;\">Job cuts remain an expectation<\/h2>\n<p>When profits fail to materialize, cutting staff seems a likely next step. The survey provides no support for it. 14 percent of organizations using AI report that it helped reduce headcount last year. A year earlier, 32 percent had expected precisely that, more than twice the share that experienced it.<\/p>\n<p>Organizations expect staff reductions, but respondents rarely see their own jobs at risk. 39 percent expect headcount reductions next year, while only 13 percent feel their own careers are threatened.<\/p>\n<p>32 percent of organizations declined to buy at least one software product because AI programming tools, known as coding agents, built the functionality internally. This shifts costs from software budgets to in-house development but does not explain the flat EBIT contribution.<\/p>\n<h2 style=\"margin-top:32px;margin-bottom:16px;\">High performers redesign workflows, the rest buy tools<\/h2>\n<p>Redesign sets high performers apart. For McKinsey, this means rebuilding processes around agents rather than adding a tool to an employee&#8217;s existing workflow. Nearly three-quarters of high performers now do this, up from 55 percent a year earlier; among other respondents, the share remains one-quarter. They pursue growth or innovation alongside efficiency and measure the impact. The report identifies organizations&#8217; capacity to absorb change as the limiting factor.<\/p>\n<p>Kate Smaje, McKinsey&#8217;s global technology and AI leader, places responsibility where the workflow resides: quality and judgment remain with the business unit owning the process. This does not make the chief technology officer the manager of a thousand agents; responsibility stays with the business unit.<\/p>\n<p>One in five already limits AI use because of operating costs, as billing per token, or unit of processed text, begins to bite. Still, 60 percent plan to invest more next year. While workflows stay unchanged, faster individual work saves calendar time without appearing in the income statement. Only the next survey will show whether 2027 spending translates into profits.<\/p>\n<p style=\"padding-top:32px;\"><strong>What is the State of AI survey?<\/strong> McKinsey annually surveys professionals and executives worldwide on AI adoption and impact. It calls the six percent of organizations attributing at least five percent of operating profit to AI high performers.<\/p>\n<h2 style=\"margin-top:32px;margin-bottom:16px;\">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;\"><strong>What exactly did McKinsey measure?<\/strong><\/summary>\n<p style=\"margin:12px 0 0 0;\">An online survey covered 1,719 participants in 97 countries from early May to early June 2026. Data are weighted by countries&#8217; GDP shares. 36 percent of respondents work in organizations with revenue exceeding one billion.<\/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;\"><strong>Why does the share reporting an EBIT contribution remain at 37 percent?<\/strong><\/summary>\n<p style=\"margin:12px 0 0 0;\">Individuals work faster, but company profits follow only when workflows are redesigned and effects measured. High performers do precisely this far more often than the rest.<\/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;\"><strong>Does the 20 percent EBITDA increase contradict the survey?<\/strong><\/summary>\n<p style=\"margin:12px 0 0 0;\">No. The survey covers the broader picture. The playbook describes 20 selected cases from the same consultancy. The 94 percent without meaningful value are the other side of the six percent of high performers.<\/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;\"><strong>Are companies now building their own software?<\/strong><\/summary>\n<p style=\"margin:12px 0 0 0;\">32 percent declined to buy at least one product or feature because coding agents built it internally. Among high performers, nearly half did so. This changes the build-or-buy decision without explaining the EBIT impact.<\/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;\"><strong>Does the survey point to job cuts?<\/strong><\/summary>\n<p style=\"margin:12px 0 0 0;\">No. It shows an expectation. More than twice as many had expected headcount reductions as subsequently experienced them.<\/p>\n<\/details>\n<div style=\"margin:40px 0 24px 0;\">\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=\"display:flex;gap:14px;align-items:center;padding:10px 16px 10px 14px;border-left:3px solid #0bb7fd;background:#fafafa;margin-bottom:6px;border-radius:0 6px 6px 0;\"><img decoding=\"async\" src=\"https:\/\/www.cloudmagazin.com\/wp-content\/uploads\/2026\/08\/cover-cm-51482-clean-core-768x432.jpg\" alt=\"S\/4-Einkauf: Go-live h\u00e4ngt am Clean Core\" width=\"92\" height=\"62\" loading=\"lazy\" style=\"flex:0 0 92px;width:92px;height:62px;object-fit:cover;border-radius:6px;display:block;\" \/><\/p>\n<div style=\"min-width:0;flex:1 1 auto;\">\n<div style=\"font-size:0.7em;font-weight:700;color:#075e85;text-transform:uppercase;letter-spacing:0.12em;margin-bottom:4px;\">cloudmagazin<\/div>\n<p><a href=\"https:\/\/www.cloudmagazin.com\/2026\/08\/28\/s-4-einkauf-go-live-haengt-am-clean-core\/\" style=\"font-weight:600;line-height:1.4;color:#1a1a1a;text-decoration:none;\">S\/4 procurement: Go-live depends on the clean core<\/a><\/div>\n<\/div>\n<div style=\"display:flex;gap:14px;align-items:center;padding:10px 16px 10px 14px;border-left:3px solid #202528;background:#fafafa;margin-bottom:6px;border-radius:0 6px 6px 0;\"><img decoding=\"async\" src=\"https:\/\/mybusinessfuture.com\/wp-content\/uploads\/2026\/08\/kfw-ifo-hoffnung-springt-das-geschaeft-bleibt-kalt-cover-hero-768x432.jpg\" alt=\"Gesch\u00e4ftsklima im Mittelstand hellt sich auf\" width=\"92\" height=\"62\" loading=\"lazy\" style=\"flex:0 0 92px;width:92px;height:62px;object-fit:cover;border-radius:6px;display:block;\" \/><\/p>\n<div style=\"min-width:0;flex:1 1 auto;\">\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\/kfw-ifo-hoffnung-springt-das-geschaeft-bleibt-kalt\/\" style=\"font-weight:600;line-height:1.4;color:#1a1a1a;text-decoration:none;\">Business sentiment improves in the Mittelstand<\/a><\/div>\n<\/div>\n<div style=\"display:flex;gap:14px;align-items:center;padding:10px 16px 10px 14px;border-left:3px solid #69d8ed;background:#fafafa;border-radius:0 6px 6px 0;\"><img decoding=\"async\" src=\"https:\/\/www.securitytoday.de\/wp-content\/uploads\/2026\/08\/cover-768x432.jpg\" alt=\"ExploitGym: OpenAI-Agenten bauten sich einen Geheimkanal\" width=\"92\" height=\"62\" loading=\"lazy\" style=\"flex:0 0 92px;width:92px;height:62px;object-fit:cover;border-radius:6px;display:block;\" \/><\/p>\n<div style=\"min-width:0;flex:1 1 auto;\">\n<div style=\"font-size:0.7em;font-weight:700;color:#00707f;text-transform:uppercase;letter-spacing:0.12em;margin-bottom:4px;\">securitytoday<\/div>\n<p><a href=\"https:\/\/www.securitytoday.de\/2026\/08\/28\/openai-agenten-paketcache-kanal-protokolle\/\" style=\"font-weight:600;line-height:1.4;color:#1a1a1a;text-decoration:none;\">ExploitGym: OpenAI agents built a secret channel<\/a><\/div>\n<\/div>\n<\/div>\n<p style=\"text-align:right;color:#868e96;font-size:0.75em;margin-top:40px;\"><em>Header image source: AI-generated (August 2026)<\/em><\/p>\n","protected":false},"excerpt":{"rendered":"<p>McKinsey&#8217;s survey shows no increase in AI&#8217;s profit contribution. Meanwhile, the same firm presents selected success cases with a fifth more EBITDA.<\/p>\n","protected":false},"author":47,"featured_media":34228,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_yoast_wpseo_focuskw":"McKinsey AI EBIT","_yoast_wpseo_title":"McKinsey: Eight in ten faster with AI, EBIT unchanged","_yoast_wpseo_metadesc":"The global survey shows no rise in profit contribution. The same firm markets selected success cases with a fifth more operating profit.","_yoast_wpseo_opengraph-image":"","_yoast_wpseo_opengraph-image-id":0,"_yoast_wpseo_twitter-image":"","_yoast_wpseo_twitter-image-id":0,"featured_post_sortierung":0,"featured_post":0,"pre_headline":"","bildquelle":"","teasertext":"","language":"de","_evm_slot_owner":"","_evm_translation_lang":"","_wp_old_slug":[],"footnotes":""},"categories":[712],"tags":[],"class_list":["post-34420","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-ai-data","entry"],"wpml_language":"en","wpml_translation_of":34225,"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.1.1 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>McKinsey: Eight in ten faster with AI, EBIT unchanged<\/title>\n<meta name=\"description\" content=\"The global survey shows no rise in profit contribution. 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