AI Investment and Operational Resilience: A Micro-Level Digital Solow Paradox
- DOI
- 10.2991/978-94-6239-787-3_11How to use a DOI?
- Keywords
- AI investment; Operational resilience; Digital Solow paradox; Inventory optimization; Adjustment costs
- Abstract
In increasingly volatile business environments, firms are expected not only to maintain stable operations but also to adapt quickly to shocks and opportunities. Whether artificial intelligence (AI) investment improves both dimensions simultaneously remains unclear. Drawing on information processing theory and adjustment cost theory, this study examines the dual effect of AI investment on operational resilience using Chinese A-share listed firms from 2011 to 2024. The evidence reveals a two-sided pattern: AI investment improves robustness by reducing stock-price volatility, but weakens adaptability by lowering short-run annual stock returns. Mechanism tests suggest that AI strengthens robustness partly through inventory optimization, whereas the adaptability penalty mainly reflects increased management costs during digital transformation. Life-cycle analysis further shows that growth and mature firms face a relatively linear trade-off between stability and profitability, while declining firms exhibit a threshold pattern in which only high-intensity transformation can reverse organizational rigidity. The study contributes to the micro-foundations of the Digital Solow Paradox and offers practical implications for firms seeking to balance stability and agility in AI-enabled transformation.
- Copyright
- © 2026 The Author(s)
- Open Access
- Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.
Cite this article
TY - CONF AU - Qian Liu PY - 2026 DA - 2026/09/29 TI - AI Investment and Operational Resilience: A Micro-Level Digital Solow Paradox BT - Proceedings of the 2026 4th International Conference on Management Innovation and Economy Development (MIED 2026) PB - Atlantis Press SP - 86 EP - 91 SN - 2352-5428 UR - https://doi.org/10.2991/978-94-6239-787-3_11 DO - 10.2991/978-94-6239-787-3_11 ID - Liu2026 ER -