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Poslovna izvrsnost - Business Excellence, Vol. 20 No. 1, 2026.

Izvorni znanstveni članak

https://doi.org/10.22598/pi-be/2026.1.42656

AI Disclosure Dynamics in Large Global Corporations

Serban-Vladimir Galani orcid id orcid.org/0009-0008-0506-216X ; Bucharest University of Economic Studies, Bucharest, Romania *
George-Cristinel Rotaru ; Bucharest University of Economic Studies, Bucharest, Romania
Alexandra-Mihaela Dumitru ; Bucharest University of Economic Studies, Bucharest, Romania

* Dopisni autor.

Puni tekst: engleski pdf 1.099 Kb

verzije

str. 43-64

preuzimanja: 0

citiraj

Prilozi: Supplementary File S1 – Document Coverage Matrix.xlsx Supplementary File S2 – AI Disclosure Keyword Dictionary.xlsx Supplementary File S3 – False-Positive Validation.xlsx

Sažetak

Purpose: This study examines how the world’s largest corporations disclose artificial intelligence (AI) in public reporting and whether disclosure intensity corresponds to short-term financial and employment outcomes.
Design/Methodology: The analysis covers public reports issued from 2020 to 2024 by the top 300 companies in the 2024 Fortune Global 500. A computer-aided text analysis framework combines dictionary-based extraction, semantic-similarity validation, ChatGPT-assisted screening, and human review.
Findings: AI disclosure follows a two-phase trajectory: stable, incremental growth from 2020 to 2022, followed by rapid acceleration from 2023, largely associated with generative AI and large language models. Disclosure varies substantially across sectors and regions, with Technology, Media & Telecommunications and Financial & Business Services acting as early and intensive disclosers, while Consumer & Commerce expands later. AI disclosure frequency is not materially associated with short-term revenue, profitability, or employment changes.
Practical Implications: Disclosure counts should be interpreted cautiously as signals of corporate communication rather than direct evidence of operational AI adoption or economic impact.
Originality/Value: The study provides large-scale empirical evidence on AI disclosure dynamics and proposes a validated computational approach for distinguishing substantive AI references from generic or symbolic communication.

Ključne riječi

artificial intelligence disclosure; corporate reporting; computer-aided text analysis; Fortune Global 500; strategic signaling

Hrčak ID:

347812

URI

https://hrcak.srce.hr/347812

Datum izdavanja:

15.6.2026.

Podaci na drugim jezicima: hrvatski

Posjeta: 0 *