Although it is still early days for the technology, the McKinsey report showed its adoption is picking up across industry sectors. Credit: gorodenkoff The usage of generative AI across enterprises is already widespread, although it is still early days for the new technology, according to a report from McKinsey’s AI consulting service, Quantum Black. The report is based on an online survey conducted in April, which received responses from 1,684 participants globally across multiple industry sectors, company sizes, and functional specialties. Nearly 22% of the respondents said they are using generative AI for their work. This usage was highest in the technology sector, and among respondents from North America, the report showed. Industry verticals, including financial services, retail, professional services, and healthcare were also using generative AI but trailed behind the technology sector, according to the report. “While our estimates suggest that tech companies, unsurprisingly, are poised to see the highest impact from gen AI — adding value equivalent to as much as 9% of global industry revenue — knowledge-based industries such as banking (up to 5%), pharmaceuticals, and medical products (also up to 5%), and education (up to 4%) could experience significant effects as well,” the report said. In contrast, manufacturing-based industries, such as aerospace, automotive, and advanced electronics could experience less disruptive effects due to limitations of the new technology’s usage in these industries as most work requires physical labor, the report said. The findings also showed that the most commonly reported uses of generative AI are in marketing, sales, product development, and service operations. Almost 14% of the respondents said their organization was using generative AI in the marketing and sales division, followed by 13% and 10% of the respondents saying their organizations were making use of the new AI technology across product development and service operations, respectively. Marketing use cases of generative AI, as per the report, included crafting text documents, summarizing documents, and personalized marketing. Other functions were found to be using generative AI to identify customer needs, draft technical documents, create new product designs, and forecast trends. Related content brandpost Sponsored by Palo Alto Networks What CIOs need to know about the newly proposed Critical Infrastructure Cyber Incident Reporting Rule The current cybersecurity regulatory landscape continues to evolve, and CIRCIA’s incident reporting requirements are just one of the many emerging regulations organizations will need to observe. By Anand Oswal, Senior Vice President, and GM of Network Security at Palo Alto Networks May 15, 2024 5 mins Security news IT staff shortages damage the bottom line: IDC report According to an IDC survey of IT execs, missed revenue growth, quality declines, and plunges in customer satisfaction are among the key business impacts of understaffed IT orgs. By Evan Schuman May 15, 2024 4 mins Hiring IT Skills IT Training how-to Download our cloud cost management enterprise buyer’s guide From the editors of our sister publication CIO.com, this enterprise buyer’s guide helps IT staff understand the cost management tools available to keep their cloud spend under control. By Peter Wayner May 15, 2024 1 min Budgeting Cloud Management Vendor Management analysis Canadian CIOs discuss driving a successful hybrid cloud roadmap By Lee Rennick, Editor, CIO May 15, 2024 4 mins Events Cloud Computing IT Leadership PODCASTS VIDEOS RESOURCES EVENTS SUBSCRIBE TO OUR NEWSLETTER From our editors straight to your inbox Get started by entering your email address below. Please enter a valid email address Subscribe