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 Driving digital transformation success: Serge Lucio's insights on Value Stream Management Navigating the VSM landscape: Strategies for seamless digital transformation—a chat with Serge Lucio, General Manager of the Agile Operations Division at Broadcom By Marla Schimke, Head of Product and Growth Marketing, Broadcom's ValueOps Software Division May 20, 2024 4 mins Digital Transformation feature 10 projects top of mind for IT leaders today From embracing AI to modernizing infrastructure, IT leaders are focusing more on key business differentiators, risk mitigation, emerging issues, and transforming IT to accelerate change. By Mary Pratt May 20, 2024 11 mins Business IT Alignment Data and Information Security IT Strategy opinion Assembly required: 8 myths about knowledge management debunked Business leaders intent on fostering innovative cultures must differentiate between knowledge management and knowledge assembly. One involves systems, data, and collaboration; the other, insights, dialogue, serendipity, and courses of action. By Daniel Forrester and Jerold Zimmerman May 20, 2024 13 mins Content Management Systems Document Management Systems Staff Management analysis SAP customers see S/4HANA and AI as top digital transformation drivers With SAP’s end of mainstream maintenance for SAP Business Suite 7 set for 2027, recent findings from the US SAP user group reveal that companies are increasing focus on shifting to S/4HANA and embracing AI. By Thor Olavsrud May 20, 2024 6 mins SAP Generative AI IT Skills 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