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Open Access

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Peer-reviewed

The Algorithmic CEO: How AI is Shaping Executive Decision-Making

Ms. Shivani Paunikar

DIP: 18.02.23/20230801

DOI: 10.25215/2455/080123

Received: March 01, 2013; Revision Received: March 20, 2013; Accepted: March 25, 2013

Abstract

The rapid integration of artificial intelligence (AI) into corporate ecosystems has introduced a transformative shift in executive leadership and decision-making. This research explores the concept of the “Algorithmic CEO”—a paradigm wherein AI-driven tools are not just supporting but actively shaping high-level strategic decisions traditionally reserved for human executives. By examining real-world applications, case studies, and emerging technologies, the study analyzes how AI systems influence areas such as risk assessment, resource allocation, performance forecasting, and stakeholder engagement. The paper delves into both the capabilities and limitations of current AI in replicating complex cognitive functions like judgment, intuition, and ethical reasoning. Through qualitative interviews with C-suite leaders and AI experts, coupled with quantitative analysis of decision outcomes in AI-augmented organizations, this research highlights a trend toward hybrid leadership models. These models combine human insight with machine precision, fostering more data-driven, scalable, and adaptive decision processes. However, the findings also underscore critical concerns, including algorithmic transparency, accountability, and the risk of over-reliance on automated systems in uncertain or morally ambiguous situations.

The study contributes to the broader discourse on digital leadership by offering a nuanced understanding of how AI is reconfiguring executive roles, corporate governance, and the very definition of leadership in the digital age. As organizations navigate this evolving landscape, the role of the CEO is being reimagined—not as a sole decision-maker but as a strategic orchestrator of both human and machine intelligence. The paper concludes with a framework for responsible AI integration in executive functions, aiming to balance innovation with ethical oversight and human-centric values.

The author(s) appreciates all those who participated in the study and helped to facilitate the research process.

The author(s) declared no conflict of interest.

This is an Open Access Research distributed under the terms of the Creative Commons Attribution License (www.creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any Medium, provided the original work is properly cited.

Responding Author Information

Ms. Shivani Paunikar @ sruthi@paradoxpublications.com

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Article Overview

ISSN 2455-670X

DIP: 18.02.23/20230801

DOI: 10.25215/2455/080123

Published in

Volume 08, Issue 1, January – March, 2023

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