{"id":240017,"date":"2026-05-06T03:08:00","date_gmt":"2026-05-06T07:08:00","guid":{"rendered":"https:\/\/news-you-need.com\/index.php\/2026\/05\/06\/ai-trends-in-pharma-how-leaders-gain-competitive-advantage\/"},"modified":"2026-05-06T04:00:09","modified_gmt":"2026-05-06T08:00:09","slug":"ai-trends-in-pharma-how-leaders-gain-competitive-advantage","status":"publish","type":"post","link":"https:\/\/news-you-need.com\/index.php\/2026\/05\/06\/ai-trends-in-pharma-how-leaders-gain-competitive-advantage\/","title":{"rendered":"AI trends in pharma: How leaders gain competitive advantage"},"content":{"rendered":"<p><a href=\"https:\/\/www.imd.org\/ibyimd\/artificial-intelligence\/ai-trends-in-pharma-from-rd-to-operational-efficiency-and-accuracy-for-competitive-advantage\/\">AI trends in pharma: How leaders gain competitive advantage<\/a><\/p>\n<p><a href=\"https:\/\/www.imd.org\/ibyimd\/artificial-intelligence\/ai-trends-in-pharma-from-rd-to-operational-efficiency-and-accuracy-for-competitive-advantage\/\">https:\/\/www.imd.org\/ibyimd\/artificial-intelligence\/ai-trends-in-pharma-from-rd-to-operational-efficiency-and-accuracy-for-competitive-advantage\/<\/a><\/p>\n<p>Publish Date: <a href=\"publish_date]\">2026-05-06 03:08:00<\/a><\/p>\n<p>Source Domain: <a href=\"www.imd.org\">www.imd.org<\/a><\/p>\n<h2>Executive insights: AI for scaling, metrics, and transforming healthcare<\/h2>\n<p>Recent McKinsey &#038; Company research suggests that while nearly eight in 10 companies report using generative AI, around 80 percent see no tangible bottom-line impact. The issue is not a lack of promising use cases, but rather the difficulty of scaling these beyond isolated pilots. According to industry executives, this issue is prevalent in the pharmaceutical industry.<\/p>\n<p>Historically, AI has been deployed in isolated pockets within large multinational pharma firms, primarily in R&#038;D, supply chain, and manufacturing, where machine learning is well established. With the advent of generative AI (GenAI), however, the barrier to entry has fallen significantly, enabling applications across a much broader range of activities. While this creates opportunities to bridge previously siloed use cases, it also introduces new challenges related to task interdependencies.<\/p>\n<p>Ben Torben-Nielsen, Strategy and Portfolio Leader for Data Analytics and Insights at Roche, explains: \u201cMost organizations focus on a handful of big AI use cases, but a typical workflow involves 20 to 50 tasks. I focus on embedding AI across as many of those as possible. Given the interdependence between tasks, optimizing just one rarely delivers a meaningful impact. Instead, I work on restructuring entire workflows, especially as some tasks may no longer be necessary with AI.\u201d<\/p>\n<p>In addition to scaling challenges, industry executives also highlighted a second issue: the current emphasis on efficiency and speed as the primary metrics for AI implementation. David Drodge, AI strategy and digital transformation at Roche\/Novartis, argues that this focus is too narrow and risks overlooking AI\u2019s broader potential for value creation. As he explains, \u201cCurrent approaches to AI implementation often resemble a \u2018rearview mirror\u2019 view, focused on how things have been done in the past. Instead, pharma firms could leverage AI to build new&#8230;<\/p>\n<p><a href=\"https:\/\/www.imd.org\/ibyimd\/artificial-intelligence\/ai-trends-in-pharma-from-rd-to-operational-efficiency-and-accuracy-for-competitive-advantage\/\">Source<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>AI trends in pharma: How leaders gain competitive advantage https:\/\/www.imd.org\/ibyimd\/artificial-intelligence\/ai-trends-in-pharma-from-rd-to-operational-efficiency-and-accuracy-for-competitive-advantage\/ Publish Date: 2026-05-06 03:08:00 Source&#8230;<\/p>\n","protected":false},"author":1,"featured_media":240019,"comment_status":"closed","ping_status":"","sticky":false,"template":"","format":"standard","meta":{"fifu_image_url":"https:\/\/www.imd.org\/wp-content\/uploads\/2026\/05\/AI-trends-in-pharma-Featured.jpg","fifu_image_alt":"","footnotes":""},"categories":[14],"tags":[19],"class_list":["post-240017","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-artificial-intelligence","tag-generative-ai"],"_links":{"self":[{"href":"https:\/\/news-you-need.com\/index.php\/wp-json\/wp\/v2\/posts\/240017"}],"collection":[{"href":"https:\/\/news-you-need.com\/index.php\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/news-you-need.com\/index.php\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/news-you-need.com\/index.php\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/news-you-need.com\/index.php\/wp-json\/wp\/v2\/comments?post=240017"}],"version-history":[{"count":1,"href":"https:\/\/news-you-need.com\/index.php\/wp-json\/wp\/v2\/posts\/240017\/revisions"}],"predecessor-version":[{"id":240021,"href":"https:\/\/news-you-need.com\/index.php\/wp-json\/wp\/v2\/posts\/240017\/revisions\/240021"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/news-you-need.com\/index.php\/wp-json\/wp\/v2\/media\/240019"}],"wp:attachment":[{"href":"https:\/\/news-you-need.com\/index.php\/wp-json\/wp\/v2\/media?parent=240017"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/news-you-need.com\/index.php\/wp-json\/wp\/v2\/categories?post=240017"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/news-you-need.com\/index.php\/wp-json\/wp\/v2\/tags?post=240017"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}