AI, Disruption, and Automation: Is the Academic World the Next Kodak?

In public discourse, the emergence of large language models is typically discussed in terms of its implications for for knowledge workers such as programmers, lawyers, and accountants. However, little is said about the effects of this technology on the producers of knowledge themselves—those whose profession has consisted of reading, synthesizing, conceptualizing, and transmitting for centuries. Yet, the disruption is profound. The academic world is currently experiencing its own “Kodak” crisis but does not seem to be aware of it.

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Artificial Intelligence: Your Next Competitor Will be a Centaur

On May 11, 1997, Garry Kasparov was defeated by Deep Blue. For the first time, a world chess champion was defeated by a machine. Kasparov later said that he was actually beaten by a sophisticated alarm clock, because Deep Blue used only brute force, not really intelligence, to evaluate possibilities. Nevertheless, the blow was real and Kasparov started thinking about the implications of artificial intelligence (AI); his reflection sheds light on the future of work and the strategic issues AI poses for companies.

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