How Shakespeare’s The Tempest can help readers understand the hidden costs of AI
How Shakespeare’s The Tempest can help readers understand the hidden costs of AI
Publish Date: 2026-07-07 05:48:00
Source Domain: theconversation.com
In the 400 years since his death, William Shakespeare’s work has been used as a lens through which to interpret countless developments he could never have anticipated – from modern psychology and political theory to colonialism and climate change. His writing possesses an uncanny ability to illuminate nearly every facet of the human condition.
Yet, as a decolonial scholar and an AI researcher, we believe that Shakespeare’s plays are now beginning to illuminate something beyond that as well – the emergent forms of artificial intelligence that increasingly shape and challenge our understanding of what it means to think, act and be.
AI tools have rapidly become part of many people’s everyday lives. Yet relatively few probably consider the physical infrastructure that makes these systems possible. Each prompt we send is processed in distant data centres: vast facilities that generate responses by predicting the most likely sequence of words based on patterns learned from enormous datasets.
This dynamic of distant, unseen control recalls Shakespeare’s The Tempest, a play that offers a useful means of understanding how power operates through hidden infrastructures.
This article is part of Rethinking the Classics. The stories in this series offer insightful new ways to think about and interpret classic books and artworks. This is the canon – with a twist.
AI data centres are energy and resource intensive, often located far from the users they serve. In some cases, they are built in rural or marginalised regions where land and resources are more easily secured. For example, in the United States, a proposed bill, NCA 25-077, would establish the Mvskoke Technology and Innovation Park in eastern Oklahoma. This proposal sparked debate within the Mvskoke Nation, particularly around water usage and long-term trade-offs, which ultimately led to it being voted down….
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