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This article attends to age stereotypes and ageism in contemporary tech. In academia, little attention has been devoted to this topic. Therefore, we intend to initiate a discussion around ageism in tech by studying perceptions of age in the tech industry. Our study is based on interviews with 18 tech workers around the world of varying age. According to our interviewees, tech workers over 35 are considered old in the tech industry. Older tech workers are expected to become managers, thought to become less interested in new technology, and expected to have more challenges when learning new software. We also look at how tech workers of different age groups experience entrepreneurial values of the company as a playground, staying hungry, and changing the future with technology, and how these values influence their professional careers. We conclude that ageism is reinforced in contemporary tech through several stereotypes related to age.

Digital systems can track every activity. Their logs are the fundamental raw material of intelligent systems in big data approaches. However, big data approaches mainly use predictions and correlations that often fail in the prediction of minorities or invisibilize collectives, causing discriminatory decisions. While this discrimination has been documented regarding, sex, race and sexual orientation, age has received less attention. A critical review of the academic literature confirms that structural ageism also shapes big data approaches. The article identifies some instances in which ageism is in operation either implicitly or explicitly. Concretely, biased samples and biased tools tend to exclude the habits, interests and values of older people from algorithms and studies, which contributes to reinforcing structural ageism.