The Impact of Artificial Intelligence on Strategic Decision-Making in Corporations
DOI:
https://doi.org/10.63278/1345Keywords:
Artificial Intelligence, Strategic Decision-Making, Corporate Strategy, AI Adoption, Business Intelligence, Predictive Analytics, Organizational Performance.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.
Downloads
How to Cite
Issue
Section
License
Copyright (c) 2025 Vaishali Rahate, Gayathri Band, Kanchan Naidu, Vijaykumar Kaluvala, Smriti Verma, Maajid Mohi Ud Din Malik

This work is licensed under a Creative Commons Attribution 4.0 International License.
Authors who publish with this journal agree to the following terms:
- Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgment of the work's authorship and initial publication in this journal.
- Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgment of its initial publication in this journal.
- Authors are permitted and encouraged to post their published articles online (e.g., in institutional repositories or on their website, social networks like ResearchGate or Academia), as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access).

Except where otherwise noted, the content on this site is licensed under a Creative Commons Attribution 4.0 International License.



According to the