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 news Camunda simplifies process automation with new AI-powered natural language features Vendors are adding AI features to process orchestration and automation platforms — but is the technology a revolution or an evolution? By John Dunn May 16, 2024 5 mins Generative AI Business Process Management Process Improvement feature What’s holding CTOs back? Internal politics, organizational culture, and funding issues top the list of issues derailing CTOs’ change agenda — so too does demonstrating the value of innovation. By Esther Shein May 16, 2024 8 mins CTO IT Leadership feature Baldor’s first-ever CIO sets the transformation agenda Ex-UPS IT leader Satyan Parameswaran aims to help the 33-year-old specialty foods distributor expand its business opportunities as it first CDIO, starting with the ‘art’ of analytics and AI. By Paula Rooney May 16, 2024 6 mins Transportation and Logistics Industry Digital Transformation IT Leadership feature Italian CIOs at the crossroads of transformation and sustainability CIOs are taking on added responsibilities as new regulations take root across the country. Equipping more data-driven enterprises with better technology to achieve ESG goals is one example. By Patrizia Licata May 16, 2024 8 mins CIO Government Healthcare Industry 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