Analyzing the market's reaction to AI narratives in corporate filings

The recent surge in artificial intelligence (AI) interest and investment, driven by advances in large language models, has led the market to reward adopters and penalize laggards. Yet, AI integration predates this “AI gold rush,” with earlier adopters reaping significant benefits. Drawing on a 2005–2018 sample, a formative period before AI became mainstream, this paper examines how early AI adoption and its disclosure in corporate filings affect U.S. firms. Analyzing 10-K filings, we categorize AI-related mentions as actionable, speculative, or irrelevant. We establish causal links between these disclosures and firm value, with innovation and productivity as likely channels. Our findings indicate that markets distinguish between substantive AI initiatives and opportunistic signaling, swiftly pricing anticipated future gains. Actionable disclosures outlining clear implementation plans yield significant valuation benefits, particularly upon first introduction, whereas speculative or irrelevant disclosures have no impact. Moreover, firms with substantive AI disclosures subsequently increase innovation activities, evidenced by higher R&D spending and patent filings, which are a key step in a pathway to modest, lagged productivity gains and ultimately improved valuation. We further find that these innovation activities act as concurrent signals of strategic reorientation towards AI, reinforcing the market's swift positive valuation. We show that early adopters of actionable disclosures gain competitive advantages, while peers that either remain silent or offer only vague AI disclosures face market penalties. These findings highlight that the strategic communication of genuine technological initiatives can significantly impact a company's perceived value and competitive positioning in the market. • Actionable AI corporate disclosures lead to significant firm value increases. • Early AI adopters gain market advantages over lagging competitors. • AI adoption and disclosures are linked to increased R&D spending and patent filings. • Speculative AI disclosures have little impact on firm valuation.

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Publication Details

Journal
International Review of Financial Analysis
Published
2025-06-02
DOI
https://doi.org/10.1016/j.irfa.2025.104378
Citations
6
Primary Topic
Law, AI, and Intellectual Property
Type
article
Field-Weighted Citation Impact
14.89

Funders

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article

Analyzing the market's reaction to AI narratives in corporate filings

Thomas John Walker, Yunfei Zhao, Galla Salganik‐Shoshan, Anup Basnet et al.
6 citations
International Review of Financial Analysis
Law, AI, and Intellectual Property
14.89
article

Analyzing the market's reaction to AI narratives in corporate filings

Thomas John Walker, Yunfei Zhao, Galla Salganik‐Shoshan, Anup Basnet, Maxim Elias
article en
6 citations

Abstract

The recent surge in artificial intelligence (AI) interest and investment, driven by advances in large language models, has led the market to reward adopters and penalize laggards. Yet, AI integration predates this “AI gold rush,” with earlier adopters reaping significant benefits. Drawing on a 2005–2018 sample, a formative period before AI became mainstream, this paper examines how early AI adoption and its disclosure in corporate filings affect U.S. firms. Analyzing 10-K filings, we categorize AI-related mentions as actionable, speculative, or irrelevant. We establish causal links between these disclosures and firm value, with innovation and productivity as likely channels. Our findings indicate that markets distinguish between substantive AI initiatives and opportunistic signaling, swiftly pricing anticipated future gains. Actionable disclosures outlining clear implementation plans yield significant valuation benefits, particularly upon first introduction, whereas speculative or irrelevant disclosures have no impact. Moreover, firms with substantive AI disclosures subsequently increase innovation activities, evidenced by higher R&D spending and patent filings, which are a key step in a pathway to modest, lagged productivity gains and ultimately improved valuation. We further find that these innovation activities act as concurrent signals of strategic reorientation towards AI, reinforcing the market's swift positive valuation. We show that early adopters of actionable disclosures gain competitive advantages, while peers that either remain silent or offer only vague AI disclosures face market penalties. These findings highlight that the strategic communication of genuine technological initiatives can significantly impact a company's perceived value and competitive positioning in the market. • Actionable AI corporate disclosures lead to significant firm value increases. • Early AI adopters gain market advantages over lagging competitors. • AI adoption and disclosures are linked to increased R&D spending and patent filings. • Speculative AI disclosures have little impact on firm valuation.

International Review of Financial AnalysisVol. 105
Ben-Gurion University of the Negev (IL), Western University (CA), TBS Education (FR), Corvinus University of Budapest (HU), Wenzhou-Kean University (CN), Concordia University (CA)
Concordia University, Social Sciences and Humanities Research Council of Canada
Openalex Percentile: Top 1%
Law, AI, and Intellectual Property
14.89
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