{"id":8821,"date":"2026-07-17T11:02:02","date_gmt":"2026-07-17T11:02:02","guid":{"rendered":"https:\/\/www.aom.org\/today\/?p=8821"},"modified":"2026-07-17T15:02:20","modified_gmt":"2026-07-17T15:02:20","slug":"ai-initiatives-will-fail-without-forethought","status":"publish","type":"post","link":"https:\/\/www.aom.org\/today\/ai-initiatives-will-fail-without-forethought\/","title":{"rendered":"AI Initiatives Will Fail Without Forethought"},"content":{"rendered":"

By Nick Keppler<\/a><\/p>\n

Despite the incessant hype around AI and machine learning, they have a terrible track record of meeting the goals that institutions have when they decide to implement them. Eight-five percent of AI initiatives fail to deliver the anticipated results, according to a report by the research and consulting firm Gartner<\/a>. Ninety-five percent of generative AI companies and the buyers of their products see no measurable improvement from the technology, a group of MIT researchers found<\/a>.<\/p>\n

\u201cThat indicates that the whole thing is difficult,\u201d said Academy of Management Scholar Thomas Hutzschenreuter<\/a> of the Technical University of Munich.<\/p>\n

If AI represents a technological shift as significant as the internet, then why does only a sliver of its users benefit from it?<\/p>\n

A major reason may be lack of clarity on how best to integrate AI into operations and strategic planning, said Hutzschenreuter.<\/p>\n

\u201cSome people have no plan,\u201d he said. \u201cThey just do something with AI in order to do something.\u201d<\/p>\n

Spurred by news reports about an oncoming wave that will optimize some businesses and obliterate others, managers and executives are rushing to implement AI as a checklist item, without thinking carefully about how AI should be used in their particular organization. Some leaders fail to zero in on specific areas where AI would be of most benefit, Hutzschenreuter said.<\/p>\n

\u201cA common pitfall is, right at the start of the project, not systematically thinking through potential answers to the question: \u2018What exactly do we want to have this for?\u2019\u201d<\/p>\n

Without clear planning, business professionals often lack clear goals, which can lead to disappointment in the returns on investments in AI, Hutzschenreuter said.<\/p>\n

\u201cKeeping expectations for AI implementation realistic requires that you work on very concrete task and scenarios,\u201d he said.<\/p>\n

 <\/p>\n

Categories:\u00a0<\/em>AI, Innovation, Leadership, Technology<\/i><\/p>\n","protected":false},"excerpt":{"rendered":"

By Nick Keppler Despite the incessant hype around AI and machine learning, they have a terrible track record of meeting the goals that institutions have when they decide to implement them. Eight-five percent of AI initiatives fail to deliver the anticipated results, according to a report by the research and consulting firm Gartner. Ninety-five percent […]<\/p>\n","protected":false},"author":12,"featured_media":8809,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[343,21,19,342],"tags":[],"sp_smart_badges":[],"ppma_author":[840],"class_list":["post-8821","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-ai","category-innovation","category-leadership","category-technology"],"acf":[],"yoast_head":"\nAI Initiatives Will Fail Without Forethought - Academy of Management Today<\/title>\n<meta name=\"description\" content=\"Despite the incessant hype around AI and machine learning, they have a terrible track record of meeting the goals that institutions have when they decide to implement them. Eight-five percent of AI initiatives fail to deliver the anticipated results, per Gartner. 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He has written extensively about psychology, healthcare, and public policy for The <em>New York Times, The Washington Post, Slate, The Daily Beast, Vice, CityLab, Men\u2019s Health, Mental Floss<\/em>, <em>The Financial Times<\/em>, and other prominent publications (as well as a lot of obscure ones). He has also written podcast scripts. His journalistic heroes include Jon Ronson, Jon Krakauer, and Norah Vincent.\r\nBefore he went freelance, he was an editor at <em>The Houston Press<\/em> (which is now a scarcely staffed, online-only publication) and at <em>The Fairfield County Weekly<\/em> (which is defunct).\r\nIn addition to journalism, he has done a variety of writing, editing, and promotional development for businesses and universities, including the University of Pittsburgh and Carnegie Mellon University, and individuals who needed help with writing projects."}],"rttpg_featured_image_url":{"full":["https:\/\/www.aom.org\/today\/wp-content\/uploads\/2026\/06\/Serious-businesswoman-working-on-her-computer-at-desk-inside-modern-office-Unhappy-busy-trouble.jpg",8192,5464,false],"landscape":["https:\/\/www.aom.org\/today\/wp-content\/uploads\/2026\/06\/Serious-businesswoman-working-on-her-computer-at-desk-inside-modern-office-Unhappy-busy-trouble.jpg",8192,5464,false],"portraits":["https:\/\/www.aom.org\/today\/wp-content\/uploads\/2026\/06\/Serious-businesswoman-working-on-her-computer-at-desk-inside-modern-office-Unhappy-busy-trouble.jpg",8192,5464,false],"thumbnail":["https:\/\/www.aom.org\/today\/wp-content\/uploads\/2026\/06\/Serious-businesswoman-working-on-her-computer-at-desk-inside-modern-office-Unhappy-busy-trouble-150x150.jpg",150,150,true],"medium":["https:\/\/www.aom.org\/today\/wp-content\/uploads\/2026\/06\/Serious-businesswoman-working-on-her-computer-at-desk-inside-modern-office-Unhappy-busy-trouble-300x200.jpg",300,200,true],"large":["https:\/\/www.aom.org\/today\/wp-content\/uploads\/2026\/06\/Serious-businesswoman-working-on-her-computer-at-desk-inside-modern-office-Unhappy-busy-trouble-1024x683.jpg",800,534,true],"1536x1536":["https:\/\/www.aom.org\/today\/wp-content\/uploads\/2026\/06\/Serious-businesswoman-working-on-her-computer-at-desk-inside-modern-office-Unhappy-busy-trouble-1536x1025.jpg",1536,1025,true],"2048x2048":["https:\/\/www.aom.org\/today\/wp-content\/uploads\/2026\/06\/Serious-businesswoman-working-on-her-computer-at-desk-inside-modern-office-Unhappy-busy-trouble.jpg",2048,1366,false],"owl_elementor_thumbnail":["https:\/\/www.aom.org\/today\/wp-content\/uploads\/2026\/06\/Serious-businesswoman-working-on-her-computer-at-desk-inside-modern-office-Unhappy-busy-trouble.jpg",600,400,false],"owl_elementor_team":["https:\/\/www.aom.org\/today\/wp-content\/uploads\/2026\/06\/Serious-businesswoman-working-on-her-computer-at-desk-inside-modern-office-Unhappy-busy-trouble.jpg",350,233,false],"owl_elementor_testimonial":["https:\/\/www.aom.org\/today\/wp-content\/uploads\/2026\/06\/Serious-businesswoman-working-on-her-computer-at-desk-inside-modern-office-Unhappy-busy-trouble.jpg",100,67,false]},"rttpg_author":{"display_name":"Nick Keppler","author_link":"https:\/\/www.aom.org\/today\/author\/nick-keppler\/"},"rttpg_comment":0,"rttpg_category":"<a href=\"https:\/\/www.aom.org\/today\/category\/ai\/\" rel=\"category tag\">AI<\/a> <a href=\"https:\/\/www.aom.org\/today\/category\/innovation\/\" rel=\"category tag\">INNOVATION<\/a> <a href=\"https:\/\/www.aom.org\/today\/category\/leadership\/\" rel=\"category tag\">LEADERSHIP<\/a> <a href=\"https:\/\/www.aom.org\/today\/category\/technology\/\" rel=\"category tag\">TECHNOLOGY<\/a>","rttpg_excerpt":"By Nick Keppler Despite the incessant hype around AI and machine learning, they have a terrible track record of meeting the goals that institutions have when they decide to implement them. Eight-five percent of AI initiatives fail to deliver the anticipated results, according to a report by the research and consulting firm Gartner. Ninety-five percent…","_links":{"self":[{"href":"https:\/\/www.aom.org\/today\/wp-json\/wp\/v2\/posts\/8821","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.aom.org\/today\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.aom.org\/today\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.aom.org\/today\/wp-json\/wp\/v2\/users\/12"}],"replies":[{"embeddable":true,"href":"https:\/\/www.aom.org\/today\/wp-json\/wp\/v2\/comments?post=8821"}],"version-history":[{"count":4,"href":"https:\/\/www.aom.org\/today\/wp-json\/wp\/v2\/posts\/8821\/revisions"}],"predecessor-version":[{"id":9202,"href":"https:\/\/www.aom.org\/today\/wp-json\/wp\/v2\/posts\/8821\/revisions\/9202"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.aom.org\/today\/wp-json\/wp\/v2\/media\/8809"}],"wp:attachment":[{"href":"https:\/\/www.aom.org\/today\/wp-json\/wp\/v2\/media?parent=8821"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.aom.org\/today\/wp-json\/wp\/v2\/categories?post=8821"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.aom.org\/today\/wp-json\/wp\/v2\/tags?post=8821"},{"taxonomy":"sp_smart_badges","embeddable":true,"href":"https:\/\/www.aom.org\/today\/wp-json\/wp\/v2\/sp_smart_badges?post=8821"},{"taxonomy":"author","embeddable":true,"href":"https:\/\/www.aom.org\/today\/wp-json\/wp\/v2\/ppma_author?post=8821"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}