Will AI Take Your Job, or Make You Better at It?

Every week there is a new headline about AI and jobs. But people have asked this question before. This video looks at what happened when wide knitting frames came to Nottinghamshire in 1811 (and who the Luddites really were), why the number of US bank tellers grew after cash machines arrived, and how spreadsheets cut bookkeeping clerks but created far more accountants. Then it looks at the evidence on AI so far: a study of more than 5,000 customer support agents, where AI helped beginners most, an experiment on writing tasks, Stanford's early warning signs for young workers, and the IMF and World Economic Forum forecasts. It ends with practical ideas for what you can do. ⏱️ CHAPTERS 0:00 The big worry 0:26 The machine breakers 1:12 The machine that was meant to replace tellers 1:56 The spreadsheet 2:31 The pattern 2:48 What AI is doing at work 3:51 Early warning signs 4:31 The big picture 5:15 What you can do 5:56 Better at it 📚 RESEARCH & SOURCES ▸ Brynjolfsson, E., Li, D. and Raymond, L. (2025), "Generative AI at Work." Quarterly Journal of Economics. https://arxiv.org/abs/2304.11771 ▸ Noy, S. and Zhang, W. (2023), "Experimental evidence on the productivity effects of generative artificial intelligence." Science. https://www.science.org/doi/10.1126/s... ▸ Brynjolfsson, E., Chandar, B. and Chen, R. (2025), "Canaries in the Coal Mine? Six Facts about the Recent Employment Effects of Artificial Intelligence." Stanford Digital Economy Lab. https://digitaleconomy.stanford.edu ▸ International Monetary Fund (January 2024), "Gen-AI: Artificial Intelligence and the Future of Work." https://www.imf.org ▸ World Economic Forum (2025), The Future of Jobs Report 2025. https://www.weforum.org/publications/... ▸ Bessen, J. (2015), "Toil and Technology." IMF Finance & Development, March 2015. ▸ NPR Planet Money (2015), on spreadsheets, accounting clerks and accountants. https://www.npr.org/sections/money/ ▸ Histories of the Luddite movement (1811 to 1816), including the National Archives and the UK Parliament's living heritage pages. A note on facts: the Stanford figure is a relative decline (13% in the first draft, 16% in a later revision) for workers aged 22 to 25 in the most AI-exposed jobs, and the authors call it an early warning, not proof. The IMF's "exposed" means AI could affect the job, not that it will be lost. The WEF numbers are employers' expectations for all kinds of change by 2030, not AI alone. Leah is an illustrative character based on the setting of the customer-support study, not a real person. All illustrations are original drawings. The chat app, bank and offices are generic illustrations; no real company's products or logos are shown. ———————————————————— 🎨 Illustration, narration and music by Avijit Hazra. ▶️ More true stories, simply drawn:    / @avijithazra   #AI #jobs #futureofwork