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Artificial intelligence? It\u2019s no mere tool, but a capability. And just like a superhero discovering their powers for the first time, you can\u2019t expect an employee or organization to master that newfound capability without rethinking everything\u2014and making a bit of a mess along the way.<\/p>\n
At the annual Fortune Brainstorm Tech<\/strong> dinner during CES in Las Vegas, a panel of senior technology executives deliberated the nuances of AI-driven change management\u2014and in particular, where humans must remain \u201cin the loop\u201d as agentic AI sweeps across the corporate world.<\/p>\n \u201c[With] any technology adoption, it\u2019s tempting to \u2026 [take] the things we\u2019ve always done and see how we can do it a little bit differently and a little bit better,\u201d said Deloitte CTO Bill Briggs<\/strong>. \u201cWhat we\u2019ve found with AI is, that\u2019s a trap.\u201d<\/p>\n Sure, impact and value have been demonstrated in more \u201cbounded\u201d places within organizations, Briggs added. But \u201cwe can\u2019t use how we\u2019ve always thought about the world\u201d to define the approach, he said. \u201cWe\u2019ve gotta really fundamentally challenge what the outcomes are that we\u2019re seeking and work backwards from there.\u201d<\/p>\n You\u2019ve also got to be realistic and design the system for failure, said Hari Bala<\/strong>, CTO of Health Information Systems at Solventum, the name of the healthcare company spun off from 3M in 2024. Dot your Is; cross your Ts.<\/p>\n \u201cHow do you make sure you have kill switches? How do you make sure you have audit-ability?\u201d he asked. \u201cHow do you do it in an automated way while infusing AI through the reasoning and orchestration layer?\u201d<\/p>\n And you certainly don\u2019t want to make an even bigger mess than the one you\u2019re trying to clean up. Several executives on the panel, which was moderated by Fortune\u2019s<\/em> Allie Garfinkle<\/strong>, agreed that there is a fine line to walk between embracing a revolutionary vision for future change and critically evaluating the efficiency of a present operation.<\/p>\n \u201cWe watched the [technology] sprawl happen in the past,\u201d said Lauri Palmieri<\/strong>, SVP of solution engineering for Salesforce, citing service-oriented architecture and microservices, two software development models that promised better ways to build. \u201cIf you let it get out of control, you\u2019re literally just putting more of a mess in place that you\u2019re going to have to go back and clean up later.\u201d<\/p>\n Disney chief information and data officer Susan Doniz<\/strong> concurred.<\/p>\n \u201cAn AI-first mindset is firstly about simplification,\u201d she said. \u201cIf you\u2019re just automating what you have, you might just be industrializing waste across what you\u2019re trying to do.\u201d<\/p>\n \u201c\u2018Industrializing waste\u2019 or \u2018weaponizing inefficiency,’\u201d Briggs interjected with a grin. \u201cBoth things are terrible.\u201d<\/p>\n So what\u2019s the solution?<\/p>\n Get a bold leadership team, for starters. \u201cThere\u2019s something to be said to having strong leadership at the top that says, \u2018Just go,’\u201d said Palmieri of Salesforce.<\/p>\n Then get your data sorted. \u201cThe data is the fuel and the foundation,\u201d Disney\u2019s Doniz said. \u201cIf you don\u2019t have well orchestrated, integrated, safe, secure data, you\u2019re not going to have anything to ingest that will actually [make] your process better.\u201d<\/p>\n And don\u2019t let perfection be the enemy of the good, said Briggs of Deloitte. \u201cMy all-time favorite quote is Lorne Michaels from Saturday Night Live<\/em>: \u2018We don\u2019t go on because we\u2019re ready; we go on because it\u2019s 11:30.\u2019 So how do we force some urgency?\u201d<\/p>\n For more from the 2026 Fortune Brainstorm Tech dinner in Las Vegas, read \u201cFrom factory floors to offices: Physical AI is \u2018going to be massive\u2019\u201d by Sheryl Estrada.<\/em><\/p>\n<\/div>\n #Protect #agentic #wreck #agentic<\/p>\n","protected":false},"excerpt":{"rendered":" Artificial intelligence? It\u2019s … <\/p>\n","protected":false},"author":1,"featured_media":12836,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":[],"categories":[2],"tags":[8657,9111,6398,9112,1698,108,4532,9113,9114],"_links":{"self":[{"href":"https:\/\/microvibenews.com\/index.php?rest_route=\/wp\/v2\/posts\/12835"}],"collection":[{"href":"https:\/\/microvibenews.com\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/microvibenews.com\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/microvibenews.com\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/microvibenews.com\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=12835"}],"version-history":[{"count":0,"href":"https:\/\/microvibenews.com\/index.php?rest_route=\/wp\/v2\/posts\/12835\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/microvibenews.com\/index.php?rest_route=\/wp\/v2\/media\/12836"}],"wp:attachment":[{"href":"https:\/\/microvibenews.com\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=12835"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/microvibenews.com\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=12835"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/microvibenews.com\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=12835"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}