AI still needs humans
Industry coverage this week argued that AI can improve customer service only when combined with human judgment, and that early adopters share certain firm-level traits for success. A TechRadar piece and an academic note on adoption patterns both emphasize uneven adoption and the continuing need for humans in complex customer interactions. (techradar.com, bennettschool.cam.ac.uk)
Artificial intelligence is spreading through customer service, but the firms moving first are pairing software with human agents instead of replacing them. (bennettschool.cam.ac.uk) A TechRadar opinion piece published April 13 said customer-service deployments work best when they “equip experts” rather than automate every interaction, especially when customers arrive with unusual, emotional, or high-stakes problems. Gartner said February 18 that 91% of customer-service leaders are under pressure from executives to implement artificial intelligence in 2026. (techradar.com, gartner.com) Gartner’s survey of 321 service leaders found nearly 80% of organizations plan to move at least some agents into new roles as routine tasks are automated, and 84% plan to add new skills to the job. The firm said 58% aim to upskill agents into knowledge-management roles so the answers feeding chatbots and self-service tools stay accurate. (gartner.com) The adoption gap is also widening between firms. Researchers at the Bennett School of Public Policy at the University of Cambridge wrote on April 13 that large United Kingdom firms with 250 or more employees raised artificial-intelligence adoption to 44% in 2025, up from less than 20% in 2023, while small firms with fewer than 50 employees reached 26%. (bennettschool.cam.ac.uk) The same Cambridge note said adopters were not obviously more productive than non-adopters at this stage, which suggests access, management, and organizational capacity may matter more than raw output. The authors based their analysis on Office for National Statistics surveys including the Management and Expectations Survey and the Business Insights and Conditions Survey. (bennettschool.cam.ac.uk, ons.gov.uk) Official United Kingdom research points the same way. A Department for Science, Innovation and Technology study updated February 13 said 1 in 6 businesses currently use artificial intelligence, most have no active adoption plans, and uptake is higher in large and mid-sized firms and in information, finance, real estate, and business-services sectors. (gov.uk) Office for National Statistics data from late September 2025 put current business use at 23%, up from 9% when the question was introduced in September 2023. The same release said 4% of current users reported lower headcount as a result of artificial-intelligence use. (ons.gov.uk) The broader workplace pattern is similar outside customer support. Microsoft and LinkedIn said in their May 8, 2024 Work Trend Index that 75% of knowledge workers were already using generative artificial intelligence at work, but many leaders still lacked a plan to turn scattered use into business change. (microsoft.com) That leaves companies with a narrower task than the sales pitch suggests: automate the repetitive parts, keep people on the exceptions, and build the internal systems that let both sides work together. The firms doing that first are the ones showing up in the adoption data. (gartner.com, bennettschool.cam.ac.uk)