How we work is set to change rapidly thanks to technologies like AI, automation, robotics and the Internet of Things.
It will mean new skills, new jobs and even new industries are needed, plus an understanding of the implications of this change for society as a whole. Questions around the ethics of data and AI biases, and whether a robot tax is needed to help those replaced by automation are being answered, while the sharing economy is changing our relationship to work.
WBS leads the University's Productivity and Future of Work Global Research Priority (GRP) and is at the vanguard of this developing area, exploring the ethics, technologies and structures that are evolving and will impact every organisation.
AI can raise productivity but upskilling staff is essential to ensure they use it effectively, writes Neha Gupta.
Execs should embrace a new way of leading hybrid teams instead of forcing staff back to the office, argue Hossam Zeitoun and Nick Chater.
Generative AI has the potential to transform how companies work, boosting productivity. Find out the areas it is redefining already.
Dimitrios Spyridondis shares six leadership capabilities that helped some of the best in the business to make the most of AI.
Joshua Fullard argues that teachers need a better deal in order to meet Labour's manifesto pledge to recruit 6,500 new teachers.
New research by Hila Lifshitz reveals senior professionals should not view juniors as a short-cut to upskilling when introducing generative AI tools.
Hila Lifshitz explores the challenges of identifying when generative AI improves performance and when it can have worrying consequences.
Research by Joshua Fullard found almost a quarter of primary schools in England only have white female teachers.
Ram Gopal reveals why privacy regulations like GDPR and the Consumer Privacy Act could lead to our data being shared more widely online.
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