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Building on the analysis of selected historical trajectories, similar dynamics are discernible for the recent push towards the adoption of artificial intelligence (AI), being enhanced by capabilities provided by Big Data infrastructure. This paper explores Big Data and AI within the framework of CMs, analyzing their driving visions, trajectories, interconnectedness, and the societal discourses formed around their adoption. By drawing parallels with selected past CMs and situating current events within such historical context, this study provides a novel perspective hopefully facilitating a better understanding of the current technological landscape, and aiding in the navigation of the complex interplay between innovation, social change, and human expectations. The study shows that even if technological innovations remain central for the recent push towards AI adoption, shared beliefs and visionary ideals underpinning adoption are equally influential. These beliefs and ideals have continually mobilized people around the relevance of AI\u2014in the past and today\u2014even as the supporting infrastructure, core technologies, and their relevance for society have evolved.<\/jats:p>","DOI":"10.1007\/s00146-025-02402-x","type":"journal-article","created":{"date-parts":[[2025,6,13]],"date-time":"2025-06-13T01:11:44Z","timestamp":1749777104000},"page":"6379-6391","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Every wave carries a sense of d\u00e9j\u00e0 vu: revisiting the computerization movement perspective to understand the recent push towards artificial intelligence"],"prefix":"10.1007","volume":"40","author":[{"given":"Xiaoyao","family":"Han","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Oskar J.","family":"Gstrein","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Vasilios","family":"Andrikopoulos","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ronald","family":"Stolk","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2025,6,13]]},"reference":[{"issue":"1","key":"2402_CR1","doi-asserted-by":"publisher","first-page":"205395171664613","DOI":"10.1177\/2053951716646135","volume":"3","author":"DG Beer","year":"2016","unstructured":"Beer DG (2016) How should we do the history of Big Data? 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