{"id":6850,"date":"2026-10-16T04:00:07","date_gmt":"2026-10-16T04:00:07","guid":{"rendered":"https:\/\/www.vaultinsider.top\/?p=6850"},"modified":"2026-10-16T04:00:07","modified_gmt":"2026-10-16T04:00:07","slug":"close-to-zero-4-ai-chiefs-say-no-companies-have-truly-changed-in-response-to-ai-blame-politics-projects","status":"publish","type":"post","link":"https:\/\/www.vaultinsider.top\/?p=6850","title":{"rendered":"\u2018Close to zero\u2019: 4 AI chiefs say no companies have truly changed in response to AI\u2014blame \u2018politics projects\u2019"},"content":{"rendered":"<p><img decoding=\"async\" src=\"https:\/\/fortune.com\/img-assets\/wp-content\/uploads\/2026\/10\/GettyImages-2250640729.jpg?w=2048\" \/><\/p>\n<p>Few large organizations have rebuilt their core operations around artificial intelligence, according to the technology chief of one of the world\u2019s largest consulting firms. He also said companies shouldn\u2019t yet spend much energy on assigning blame when AI projects go wrong.<\/p>\n<div>\n<p class=\"wp-block-paragraph\">The number of large enterprises or government processes \u201cthat have been really, truly reinvented with AI at the absolute core is basically close to zero,\u201d Marc Warner, Accenture\u2019s global chief technology officer, said during a Fortune Brainstorm AI virtual event. Accenture is a founding partner of Brainstorm AI and sponsored the event.<\/p>\n<p class=\"wp-block-paragraph\">Warner and three other executives spoke with Fortune AI editor Jeremy Kahn about why many companies report little return from AI despite wide use. The other panelists were Matthieu Caillat of AXA, Greg Ulrich of Mastercard, and Marjorie Janiewicz of Mistral AI. Their answers pointed less to software than to organizational change.<\/p>\n<h2 class=\"wp-block-heading\"><strong>Edges versus core<\/strong><\/h2>\n<p class=\"wp-block-paragraph\">Warner said most companies have put AI in peripheral work such as marketing, meeting notes, and transcription. Coding is \u201cperhaps a little different,\u201d because returns there can be measured. Changing the economics of an industry, he said, means targeting core business processes, which is risky. He compared the moment to early factories that used electricity only for lighting, before redesigning production around electric motors.<\/p>\n<p class=\"wp-block-paragraph\">Ulrich said the biggest returns come from redesigning whole workflows, not layering AI onto existing ones. He said Mastercard is \u201cvery, very advanced\u201d in redesigning its product development life cycle, with smaller teams and faster turnaround. He also described a trap: speed up one step in an 80-step process and the next step simply develops a backlog.<\/p>\n<p class=\"wp-block-paragraph\">\u201cThe AI agent to automate a piece of this isn\u2019t \u2026\u00a0the long pole in the tent for a lot of this,\u201d Ulrich said. \u201cIt\u2019s the rethinking. It\u2019s the remapping.\u201d<\/p>\n<p class=\"wp-block-paragraph\">Warner called AI transformations \u201cpolitics projects\u201d and said he had thought of them as technology projects until recently. He said he still sees the AI builds themselves as technology projects.<\/p>\n<p class=\"wp-block-paragraph\">Caillat said that as technology improves, the work is less about technology and more about, \u201cHow do you bring people along?\u201d Ulrich said Mastercard relies on CEO sponsorship, including weekly updates with the CEO\u2019s direct reports, but added that no one has solved the politics of large organizations.<\/p>\n<h2 class=\"wp-block-heading\"><strong>Accountability<\/strong><\/h2>\n<p class=\"wp-block-paragraph\">Kahn asked an audience question about who is responsible when an AI agent goes wrong. Warner said there is no single clean answer. In general, he said, the business owner is accountable for an agent\u2019s value, the technologist for its functionality, and the chief information security officer for its security.<\/p>\n<p class=\"wp-block-paragraph\">He then said most companies shouldn\u2019t dwell on fault yet. \u201cI don\u2019t think most organizations should be worrying too much about the blame game right now,\u201d Warner said, urging companies to give people credit for trying things, knowing many will fail. He made an exception for critical incidents such as a major security breach.<\/p>\n<p class=\"wp-block-paragraph\">Janiewicz, who said she spent 10 years in cybersecurity, agreed that finger-pointing isn\u2019t useful. She said the better question is whether a company controls the technology it adopts and can set its own guardrails. Mistral sells open-weight models that customers can run on their own infrastructure.<\/p>\n<h2 class=\"wp-block-heading\"><strong>Keeping pace<\/strong><\/h2>\n<p class=\"wp-block-paragraph\">Executives also said their plans have a short shelf life. Ulrich said consulting tools Mastercard built about a year ago are now \u201cquaint, and just not that useful today,\u201d so the company is rebuilding them. Caillat said AXA used to \u201cmeasure twice and cut once\u201d and \u201ccan\u2019t afford that anymore,\u201d because conclusions expire before certainty arrives.<\/p>\n<p class=\"wp-block-paragraph\">Caillat said AXA started with about 400 AI use cases to build enthusiasm, then narrowed its focus. He said the insurer\u2019s plan for 2027 to 2029 targets \u20ac500 million to \u20ac700 million a year in recurring pretax value from AI by 2029, and that AXA has about 4 billion unstructured documents it is starting to use.<\/p>\n<p class=\"wp-block-paragraph\">Warner said that, by Accenture\u2019s calculations, the pace shows no sign of slowing until something approaching 2030. Energy constraints in the West could start to bite in the early 2030s, he said.<\/p>\n<p class=\"wp-block-paragraph\"><em>Accenture is the founding partner of Fortune Brainstorm AI events and hosted this session.<\/em> <em>Generative AI was used for research assistance and\/or transcription for this article. The reporter independently reported and verified the factual claims in this article, and a human editor reviewed it before publication.<\/em><\/p>\n<\/div>\n<p>#Close #chiefs #companies #changed #response #AIblame #politics #projects<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Few large organizations have r&hellip; <\/p>\n","protected":false},"author":1,"featured_media":6851,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[2],"tags":[3099,9962,4044,9961,8353,2926,1761,1226,535,938,3544,8461],"class_list":["post-6850","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-finance-news","tag-accenture","tag-aiblame","tag-always-free","tag-axa","tag-changed","tag-chiefs","tag-close","tag-companies","tag-disruption","tag-politics","tag-projects","tag-response"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v28.1 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>\u2018Close to zero\u2019: 4 AI chiefs say no companies have truly changed in response to AI\u2014blame \u2018politics projects\u2019 - 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