AI and Immunity to the COVID-19 Pandemic

We evaluate economic immunity to the COVID-19 pandemic accorded by a sector’s exposure to artificial intelligence (AI). Using an event study design, we causally estimate the impact of AI industry exposure (AIIE) on shifts in economic activity following the first pandemic-induced lockdown in India. We use payments data from one of India’s largest payment gateways and find that a one-standard-deviation increase in AIIE arrests the post-pandemic decline in industry payments by a third. High AIIE of neighboring sectors further improves a sector’s economic resilience, emphasizing the importance of supply chain partners in technology adoption and change. Further analyses speak to the mechanisms underlying the documented impact of AI on economic activity. Notably, we present evidence suggesting that the observed effects of AI are distinct from those attributable to IT investments or digitization, that AI investments are associated with superior information capabilities prior to the pandemic that arguably enabled agility and responsiveness, and that AI-enabled adaptation occurs in a manner that complements labor rather than displacing it. We discuss the implications of our findings in terms of the assessment of the business value of AI and management of disruptions associated with crises events.

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Publication Details

Journal
Production and Operations Management
Published
2025-10-21
DOI
https://doi.org/10.1177/10591478251392711
Citations
1
Primary Topic
COVID-19 diagnosis using AI
Type
article
Field-Weighted Citation Impact
1.36
Controls
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article

AI and Immunity to the COVID-19 Pandemic

Deepa Mani, Nikhil Madan, Abhishek Bhatia, Shekhar Tomar
1 citations
Production and Operations Management
COVID-19 diagnosis using AI
1.36
article

AI and Immunity to the COVID-19 Pandemic

Deepa Mani, Nikhil Madan, Abhishek Bhatia, Shekhar Tomar
article en
1 citations

Abstract

We evaluate economic immunity to the COVID-19 pandemic accorded by a sector’s exposure to artificial intelligence (AI). Using an event study design, we causally estimate the impact of AI industry exposure (AIIE) on shifts in economic activity following the first pandemic-induced lockdown in India. We use payments data from one of India’s largest payment gateways and find that a one-standard-deviation increase in AIIE arrests the post-pandemic decline in industry payments by a third. High AIIE of neighboring sectors further improves a sector’s economic resilience, emphasizing the importance of supply chain partners in technology adoption and change. Further analyses speak to the mechanisms underlying the documented impact of AI on economic activity. Notably, we present evidence suggesting that the observed effects of AI are distinct from those attributable to IT investments or digitization, that AI investments are associated with superior information capabilities prior to the pandemic that arguably enabled agility and responsiveness, and that AI-enabled adaptation occurs in a manner that complements labor rather than displacing it. We discuss the implications of our findings in terms of the assessment of the business value of AI and management of disruptions associated with crises events.

Production and Operations Management
Indian School of Business (IN), London Business School (GB)
Openalex Percentile: Top 15%
COVID-19 diagnosis using AI
1.36
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