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 Broadcom Opening more opportunities for VMware Cloud Service Providers By Ahmar Mohammad, Broadcom VP, Partners, Managed Services, and Solutions GTM May 07, 2024 4 mins Cloud Computing news Red Hat seeks to shrink IT skills gap with Lightspeed gen AI Building on the success of Ansible Lightspeed, Red Hat will extend generative AI capabilities across its platforms, including Red Hat OpenShift and Red Hat Enterprise Linux. By Thor Olavsrud May 07, 2024 5 mins Red Hat Generative AI IT Skills feature CDOs’ biggest problem? Getting colleagues to understand their role Chief data officers face several challenges, including new demands from AI, but they must also sell the value of their jobs to coworkers unsure what CDOs do. By Grant Gross May 07, 2024 7 mins Chief Data Officer Data Governance Business IT Alignment interview SAP forecasts clarity in the cloud After customers and user groups that adopted S/4HANA early accused SAP of bait-and-switch tactics, CIO editor-in-chief in Germany Martin Bayer recently sat with Christian Klein, CEO of the multinational software company, to clear the air on cloud rea By Martin Bayer May 07, 2024 5 mins SAP Generative AI Cloud Architecture 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