Three lessons from chatting about strategy with ChatGPT when generative AI's capacity for strategy creation is put to the test, it reveals where its strengths lie, and where humans still have the edge
Large language models like ChatGPT are generating excitement about their potential use cases. A pair of business strategists decided to test whether the tool can support ideation, experimentation, evaluation, and storytelling as part of the strategy creation process. In a series of experiments, they...
| Main Authors: | , |
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| Format: | eBook |
| Language: | English |
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[Place of publication not identified]
MIT Sloan Management Review
2023
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| Edition: | [First edition] |
| Subjects: | |
| Online Access: | |
| Collection: | O'Reilly - Collection details see MPG.ReNa |
| Summary: | Large language models like ChatGPT are generating excitement about their potential use cases. A pair of business strategists decided to test whether the tool can support ideation, experimentation, evaluation, and storytelling as part of the strategy creation process. In a series of experiments, they posed a realistic question of strategy to ChatGPT, followed by iterative follow-up questions. In this article, they share three lessons that emerged from their experiments with generative AI. |
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| Item Description: | Reprint #64446 |
| Physical Description: | 5 pages |