AI competition and firm value: Evidence from DeepSeek’s disruption

• DeepSeek’s AI breakthrough has intensified the debate on global AI competition, raising concerns and opportunities for industry players. • U.S. AI firms react positively to the release of DeepSeek R1 model, supporting the view that competition fosters innovation and market growth. • Firms with fewer resources experience stronger short term reaction, while better-resourced firms benefit more in longer windows. • GPU providers face negative market reactions, suggesting that cost-efficient AI models may reduce reliance on large-scale GPU infrastructure, challenging existing manufacturers. DeepSeek’s recent breakthrough has intensified the debate over global AI competition. Using real-time data from Yahoo Finance, I find strong evidence that U.S. AI firms respond positively to the release of the DeepSeek R1 model, contradicting media concerns that disruptive AI competition harms firm value. A heterogeneity analysis reveals that firms with fewer resources experience stronger initial gains but underperform their more resource-rich counterparts over longer event windows. Additionally, GPU providers faced negative market reactions, suggesting that cost-efficient AI models may reduce reliance on large-scale GPU infrastructure. This research provides timely insights into the evolving impact of AI competition on firm valuation and industry dynamics.

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Publication Details

Journal
Finance research letters
Published
2025-04-19
DOI
https://doi.org/10.1016/j.frl.2025.107447
Citations
8
Primary Topic
Corporate Finance and Governance
Type
article
Field-Weighted Citation Impact
31.28
Controls
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article

AI competition and firm value: Evidence from DeepSeek’s disruption

Xing Yang
8 citations
Finance research letters
Corporate Finance and Governance
31.28
article

AI competition and firm value: Evidence from DeepSeek’s disruption

Xing Yang
article en
8 citations

Abstract

• DeepSeek’s AI breakthrough has intensified the debate on global AI competition, raising concerns and opportunities for industry players. • U.S. AI firms react positively to the release of DeepSeek R1 model, supporting the view that competition fosters innovation and market growth. • Firms with fewer resources experience stronger short term reaction, while better-resourced firms benefit more in longer windows. • GPU providers face negative market reactions, suggesting that cost-efficient AI models may reduce reliance on large-scale GPU infrastructure, challenging existing manufacturers. DeepSeek’s recent breakthrough has intensified the debate over global AI competition. Using real-time data from Yahoo Finance, I find strong evidence that U.S. AI firms respond positively to the release of the DeepSeek R1 model, contradicting media concerns that disruptive AI competition harms firm value. A heterogeneity analysis reveals that firms with fewer resources experience stronger initial gains but underperform their more resource-rich counterparts over longer event windows. Additionally, GPU providers faced negative market reactions, suggesting that cost-efficient AI models may reduce reliance on large-scale GPU infrastructure. This research provides timely insights into the evolving impact of AI competition on firm valuation and industry dynamics.

Finance research lettersVol. 80
University of Auckland (NZ)
Openalex Percentile: Top 0%
Corporate Finance and Governance
31.28
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AI competition and firm value: Evidence from DeepSeek’s disruption — Xing Yang · Finance research letters (2025) | TGRS Research Map | TGRS