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 feature AES enlists AI to boost its sustainable energy business The American power supplier’s machine learning weather and output forecasting platform is fueling revenue growth while advancing the company’s renewable wind, solar, and energy storage goals. By Paula Rooney Jun 07, 2024 7 mins Energy Industry Digital Transformation Artificial Intelligence feature Top 8 IT certifications in demand today IT certifications can help you quickly gain and validate valuable skills and know-how in a domain that will further your career. Here are the most popular IT certs today. By Sarah K. White Jun 07, 2024 10 mins Certifications IT Skills Careers feature The RACI matrix: Your blueprint for project success A RACI matrix is a simple, effective means for defining project roles and responsibilities, providing a comprehensive chart of who is responsible, accountable, consulted, and informed every step of the way. By Bob Kantor and CIO staff Jun 07, 2024 11 mins IT Governance Frameworks Project Management Tools IT Leadership brandpost Sponsored by Dell Technologies and NVIDIA The AI revolution is here. How do you make sense of it? By Dell Technologies and NVIDIA Jun 06, 2024 4 mins Artificial Intelligence 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