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 Boomi burnishes API management capabilities The launch version of the framework comes with four agents — Boomi Answers, Boomi DesignGen, Boomi DataDetective, and Boomi Scribe. By John Leyden May 10, 2024 4 mins APIs PaaS feature TIAA modernizes the customer journey with AI The financial services organization overhauled its customer service operations, weaving together machine learning models, generative AI, and customer journey mapping to improve customer experience and predict trouble points. By Paula Rooney May 10, 2024 6 mins CIO 100 Digital Transformation Artificial Intelligence feature 10 IT skills where expertise pays the most Data from Dice sheds light on 10 enterprise mainstay skills where IT pros who have honed their craft to expert level can earn five-figure salary premiums. By Sarah K. White May 10, 2024 8 mins Salaries IT Jobs IT Skills feature What is ERP? Enterprise resource planning systems explained Enterprise resource planning (ERP) systems standardize, streamline, and integrate processes across a wide range of business functions. Here’s what to know about these critical IT systems. By CIO staff and bart_perkins May 10, 2024 12 mins ERP Systems Enterprise Applications 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