SAIMSARA Journal

Machine Generated Science • ISSN 3054-3991

AI as CEO and Executive Leadership: Scoping Review with ☸️SAIMSARA.

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Issue 3, Volume 1, 2026

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DOI: 10.62487/saimsara72fed8ad

Editorial note
• Last update: 2026-05-21 12:31:44
What is this paper about
AI can already imitate parts of executive work — drafting CEO-style messages, supporting decisions, and simulating crisis responses — but the evidence shows that authority, trust, ethics, and accountability still remain deeply human problems. The full SAIMSARA evidence map reveals where AI may genuinely augment leadership, where it becomes symbolic hype, and why the future CEO is more likely to be human-with-AI than AI-alone.
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Abstract: To map and synthesize the evidence on AI as CEO, with emphasis on CEO-like task performance, executive communication, organizational adoption, leadership legitimacy, ethical risk, and the continuing role of human executive characteristics in AI-enabled firms. The review uses 72 references and builds its evidence map from 95 original studies with 278380 total participants/sample observations (topic-deduplicated ΣN). The evidence suggests that AI can credibly execute selected CEO-like functions—analytic decision support, communication drafting, and crisis or strategic simulation—but does not currently support AI as a full substitute for human executive leadership, with legitimacy, accountability, and ethical judgment emerging as recurrent constraints. Decision-support gains such as a 23.7% improvement in decision accuracy coexist with authenticity penalties when AI authorship is perceived, even though AI-mimicked CEO responses were correctly identified only 59% of the time. Observational evidence consistently indicates that human CEO characteristics—IT background, openness, education, and political orientation—moderate whether AI adoption translates into innovation or symbolic compliance. Practically, this supports a role for AI as executive augmentation paired with transparent disclosure and governance safeguards rather than delegated authority. Future work should prioritize standardized CEO-agent benchmarks and prospective governance trials that test human-only, AI-assisted, and AI-delegated executive workflows against legitimacy and accountability endpoints.

Keywords: AI leadership; Artificial intelligence; Chief executive officer; Executive communication; Corporate governance; Digital transformation; AI adoption; Algorithmic management; Leadership authenticity; Strategic decision-making

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