A September 2026 study by Bharat Chandar of the Stanford Digital Economy Laboratory and Bouke Klein Teeselink of King’s College London examines 1.25 billion job postings and 154 million employment records across 41 countries. The researchers infer generative AI adoption from job advertisements and compare adopting firms with control firms. Their estimates indicate that senior employment rose while the junior share fell. The employment effect is uneven by seniority

In September 2026, Reuters reported that an International Monetary Fund (IMF) paper presented to European finance ministers estimated that artificial intelligence could raise European productivity by about 1% over five years. The estimate is meaningful but modest enough to challenge unrealistic expectations. In a speech accompanying the analysis, IMF Managing Director Kristalina Georgieva argued that productivity gains depend on organisations redesigning products, processes and workflows rather than simply adding

The OECD launched its Longevity Readiness Tool on 11 May 2026. Available through the organisation’s website, it addresses employer readiness across recruitment, training, job quality, health and safety. It offers a structured starting point for examining how workplace arrangements respond to longer working lives. The tool is an assessment resource. Its availability does not demonstrate a financial return from an employer programme. Benefits teams can use it to connect

The May 2026 NBER Digest presents Firm Data on AI, Working Paper 34836. The research draws on a survey of nearly 6,000 executives in four countries and examines AI use, reported effects and expectations. The paper was issued in February and revised in March; the Digest provides the May summary. Adoption and realised effects are distinct. Expectations about productivity or employment differ from reported changes over a past period.

Michelle Yin, Hoa Vu and Claudia Persico’s NBER working paper examines the stability of occupational exposure scores produced by large language models. The April 2026 abstract reports a 3.6-fold difference in mean exposure when three models apply the same rubric to identical tasks, with agreement as low as 57%. The abstract also reports that changing the annotator changes downstream empirical estimates. The study therefore concerns measurement reliability as well

The Organisation for Economic Co-operation and Development (OECD) in October 2017 released a white-paper entitled Computers and the Future of Skill Demand. The study provides insights into current computer capabilities with respect to certain human skills, and what this portends for the future workplace. The report is the culmination of an exploratory project that focused on understanding current computer capabilities with respect to the three general cognitive skills needed