Abstract
Recent years have brought major technological breakthroughs in artificial intelligence (AI), and firms are expected to invest nearly $98 B in 2023. However, many AI projects never leave the pilot phase, and many companies have difficulties extracting value from their AI initiatives. To explain this contradiction, this article reports on a study of 55 projects implementing AI in organizations. It shows that organizational challenges in implementing AI projects are a result of a paradoxical tension created by two different perspectives on data science work: craft and mechanical work. Executives, managers, and data scientists should actively manage this tension to enable and sustain value creation through AI.
| Original language | English |
|---|---|
| Journal | California Management Review |
| Volume | 66 |
| Issue number | 1 |
| Pages (from-to) | 23-47 |
| Number of pages | 25 |
| ISSN | 0008-1256 |
| DOIs | |
| Publication status | Published - Nov 2023 |
Bibliographical note
Published online: 19 September 2023.Keywords
- Artificial intelligence
- Value creation
- Organization
- Workplace
- Implementing innovation
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