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 Cisco Transform the modern data center: From today to the future Embrace agility, elasticity, and cognitive intelligence capabilities for a data center strategy that’s performance-ready and sustainable for the future. By Murali Gandluru May 02, 2024 4 mins Networking brandpost Sponsored by TCS and Microsoft 5 keys to optimizing ROI on your Cloud Center of Excellence 5 keys to optimizing ROI on your Cloud Center of Excellence CoE adoption is on the rise – but success means evaluating relevance, staying connected, building a strong team, continuous innovation, and transforming culture. By Tata Consultancy Services May 02, 2024 2 mins Manufacturing Industry Cloud Computing brandpost Sponsored by TCS and Microsoft Best practice advice for improving productivity while maintaining security The modern “borderless workplace” requires a new strategy. Microsoft and TCS are answering the challenge with innovation solutions. By Tata Consultancy Services May 02, 2024 1 min Manufacturing Industry Microsoft Cloud Computing brandpost Sponsored by TCS and Microsoft Powering sustainability success with Microsoft Cloud Learn how investing in the right technology can create a greener future. By Tata Consultancy Services May 02, 2024 1 min Manufacturing Industry Green IT 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