New polling from Lenovo suggests that the widespread, and often unregulated, use of artificial intelligence in organisations is creating operational risks, increasing costs and slowing the return on investment from AI initiatives. The company’s latest Work Reborn Report, based on a survey of 6,000 employees worldwide, claims that more than 70 percent of employees now use AI tools on a weekly basis. Up to a third of this activity is taking place without formal oversight from IT departments, contributing to the growth of so-called shadow AI. (more…)

A new report suggests that fears of artificial intelligence triggering widespread job losses in the UK have yet to be borne out by evidence, with little indication so far of major disruption to employment. The study, published by think tank The Centre for British Progress, examines labour market data since the rapid emergence of generative AI tools and finds no clear signs that the technology has led to large-scale displacement of workers. Despite frequent predictions that AI could significantly reshape or reduce the workforce in the near term, the report concludes that such effects are not yet visible in aggregate employment trends. (more…)

AI systems don’t just process information; they systematically ‘judge’ people in ways that resemble human trust, but with important differences, according to a new study by researchers at the Hebrew University of Jerusalem (HU). The results have implications for some of the most common ways AI is already being used as a decision-maker and opinion-former, especially in recruitment and law. According to the new study in Proceedings of the Royal Society A by Prof. Yaniv Dover and Valeria Lerman of the Hebrew University Business School, the reason is both reassuring and deeply unsettling. (more…)

A significant proportion of employees are resisting the introduction of artificial intelligence in the workplace, with some actively undermining its adoption, according to a new global survey. The 2026 AI Adoption in the Enterprise report, produced by Writer in partnership with Workplace Intelligence, draws on responses from 2,400 knowledge workers across Europe and North America. It suggests that while organisations are investing heavily in artificial intelligence, many employees remain unconvinced of its value and are pushing back against its use. (more…)

Two thirds of business leaders in the UK are worried about potential data security and compliance risks stemming from employees’ unregulated use of artificial intelligence tools, according a new poll of senior decision-makers within UK businesses, commissioned by Studio Graphene. The design studio commissioned Censuswide to survey 500 managers, directors and C-suite executives within UK businesses. It found that almost half (48 percent) of respondents know or suspect that employees in their organisation are using AI tools that have not been officially approved – this rises to 54 percent for larger companies (over 250 employees). (more…)

Workplace professionals and general managers should proceed with caution if they want to use AI to improve efficiency and human capital in the workplace, and should take steps to ensure creativity and critical thinking are preserved, new research from the University of Bath School of Management suggests. The research team identified two types of knowledge which appeared partially compatible with AI – encoded knowledge, which encompasses rules, procedures, policies, and datasets; and embedded knowledge – essentially digitalised processes and routines. (more…)

Corporate adoption of artificial intelligence (AI) appears to be slowing, raising questions about the pace at which the technology will deliver economic returns, according to a new analysis of data in The Economist. Figures quoted from the US Census Bureau suggest that the proportion of employees using AI at work has edged down to around 11 percent in recent weeks. The decline is most notable among larger organisations with more than 250 staff, where uptake had previously been stronger. The findings indicate that, three years into the current wave of generative AI development, business demand may be less robust than anticipated. (more…)