The Impact of Artificial Intelligence on Strategic Decision-Making in Corporations

The data-driven insights, predictive analytics, and automation capabilities of Artificial intelligence (AI) have made it a transformative factor in corporate strategic decision-making. This research examines how AI affects strategic decision-making processes in companies, as AI-powered tools can cut costs and driving uncertainty, increasing efficiency and ensuring a competitive advantage. Through case study analysis and empirical data across multiple industries, this research delineates crucial factors that govern AI adoption, such as data accessibility, corporate culture, and legal compliance. The study also provides analysis of accompanying challenges, including those surrounding ethics, algorithmic biases, and the role of human-AI collaboration. The results imply that although artificial intelligence greatly improves both the speed of decision-making and the accuracy of decisions, the effectiveness of AI is required balance, expertise, and ethical governance. This research adds to the growing discussion around using AI to inform corporate strategy, which is crucial for practice to advance and helpful to both business leaders and policymakers.

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Publication Details

Journal
Metallurgical and Materials Engineering
Published
2025-01-22
DOI
https://doi.org/10.63278/1345
Citations
2
Primary Topic
Big Data and Business Intelligence
Type
article
Field-Weighted Citation Impact
4.57
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The Impact of Artificial Intelligence on Strategic Decision-Making in Corporations

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The Impact of Artificial Intelligence on Strategic Decision-Making in Corporations

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article en
2 citations

Abstract

The data-driven insights, predictive analytics, and automation capabilities of Artificial intelligence (AI) have made it a transformative factor in corporate strategic decision-making. This research examines how AI affects strategic decision-making processes in companies, as AI-powered tools can cut costs and driving uncertainty, increasing efficiency and ensuring a competitive advantage. Through case study analysis and empirical data across multiple industries, this research delineates crucial factors that govern AI adoption, such as data accessibility, corporate culture, and legal compliance. The study also provides analysis of accompanying challenges, including those surrounding ethics, algorithmic biases, and the role of human-AI collaboration. The results imply that although artificial intelligence greatly improves both the speed of decision-making and the accuracy of decisions, the effectiveness of AI is required balance, expertise, and ethical governance. This research adds to the growing discussion around using AI to inform corporate strategy, which is crucial for practice to advance and helpful to both business leaders and policymakers.

Metallurgical and Materials EngineeringVol. 31(1)
University of Hyderabad (IN), Dr. D.Y. Patil Vidyapeeth, Pune (IN), Datta Meghe Institute of Higher Education and Research (IN), Monterey Bay Aquarium Foundation (US), D.Y. Patil University (IN)
Openalex Percentile: Top 6%
Big Data and Business Intelligence
4.57
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