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It considers AI as a <jats:italic>General Purpose Technology<\/jats:italic> (GPT) and argues we need to investigate the power concentration of Big Tech. AI capitalism is characterised by the commodification of data, data extraction and a concentration in hiring of AI talent and compute capacity. This is behind Big Tech\u2019s unstoppable drive for growth, which leads to monopolisation and enclosure under the <jats:italic>winner takes all<\/jats:italic> principle. If we consider AI as a GPT\u2014technologies that alter society\u2019s economic and social structures\u2014we need to come up with alternatives in terms of ownership and governance. The commons is proposed as an alternative for thinking about how to organise AI development and how to distribute the value that can be derived from it. Using the commons framework is also a way of giving society a more prominent role in the debate about what we expect from AI and how we should approach it.<\/jats:p>","DOI":"10.1007\/s00146-022-01437-8","type":"journal-article","created":{"date-parts":[[2022,4,9]],"date-time":"2022-04-09T07:04:41Z","timestamp":1649487881000},"page":"727-737","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":73,"title":["Dismantling AI capitalism: the commons as an alternative to the power concentration of Big Tech"],"prefix":"10.1007","volume":"39","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-7906-002X","authenticated-orcid":false,"given":"Pieter","family":"Verdegem","sequence":"first","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2022,4,9]]},"reference":[{"key":"1437_CR1","volume-title":"Prediction machines: the simple economics of artificial intelligence","author":"A Agrawal","year":"2018","unstructured":"Agrawal A, Gans J, Goldfarb A (2018) Prediction machines: the simple economics of artificial intelligence. 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