Training with AI: Evidence from chess computers

We suggest that AI can help decision‐makers learn; specifically, that it can help them learn strategic interactions by serving as artificial training partners and thus help them to overcome a bottleneck of scarce human training partners. We present evidence from chess computers, the first widespread...

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Bibliographic Details
Published in:Strategic management journal 2023-11, Vol.44 (11), p.2724-2750
Main Authors: Gaessler, Fabian, Piezunka, Henning
Format: Article
Language:English
Subjects:
Artificial intelligence
Chess
Competitive advantage
Computers
Decision making
Errors
Humans
Learning
Strategic management
Training
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Summary:We suggest that AI can help decision‐makers learn; specifically, that it can help them learn strategic interactions by serving as artificial training partners and thus help them to overcome a bottleneck of scarce human training partners. We present evidence from chess computers, the first widespread incarnation of AI. Leveraging the staggered diffusion of chess computers, we find that they did indeed help chess players improve by serving as a substitute for scarce human training partners. We also illustrate that chess computers were not a perfect substitute, as players training with them were not exposed to and thus did not learn to exploit idiosyncratic (“human”) mistakes. We discuss implications for research on learning, on AI in management and strategy, and on competitive advantage.
ISSN:0143-2095
1097-0266
DOI:10.1002/smj.3512