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GCC corporate reports disclose growing use of artificial intelligence (AI), but finance-specific adoption is often mixed with deterministic automation and wider enterprise initiatives. This study examines what eight GCC-listed issuers report about financial-reporting applications, accounting quality, internal controls, and equity-market valuation. A deductive comparative case design applies manual documentary content analysis to 43 distinct evidence IDs across 51 register rows from issuer reports. Predefined categories identify deployed finance-related AI, non-AI reporting automation, adjacent control uses, prospective applications, and market context. stc describes an AI-based IFRS advice assistant with reported productivity indicators; other issuers document regulatory reporting automation, governance, fraud monitoring or control-testing systems without consistently identifying financial-statement AI. An internal GPT pilot described at stc includes Internal Audit users but is not evidence that GPT conducted an audit. Market capitalisation disclosures do not identify AI-related valuation effects. Findings support more precise disclosure of tasks, deployment, human oversight, and measured outcomes; causal impacts cannot be inferred from these documents alone.
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Malik et al. (2026) studied this question.
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