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Artificial Intelligence and the Future of Business Decision-Making: A Comprehensive Review

Jul 2026 · Research Journal in Business and Economics · 0 citations · 29 references

TL;DR

The study concludes that AI is not replacing managerial judgment but augmenting human decision-making through intelligent data-driven insights, and organizations that strategically embrace responsible AI adoption while investing in digital capabilities and ethical governance are likely to achieve sustainable competitive advantage.

Abstract

Artificial Intelligence (AI) has emerged as a transformative force in modern business, fundamentally reshaping how organizations collect, analyze, and utilize information for strategic and operational decision-making. The increasing availability of big data, advances in machine learning, natural language processing, predictive analytics, and generative AI have enabled firms to improve decision accuracy, optimize business processes, and respond more effectively to dynamic market conditions. This review critically examines the role of AI in the future of business decision-making by synthesizing contemporary literature on AI-driven decision support systems, strategic planning, operational efficiency, customer relationship management, financial forecasting, supply chain optimization, risk management, and organizational innovation. The study adopts a comprehensive narrative review methodology, drawing on recent peer-reviewed articles, industry reports, and scholarly publications to identify emerging trends, opportunities, challenges, and future research directions. The review reveals that AI significantly enhances decision quality by enabling real-time analytics, predictive insights, and automation of routine and complex business processes. However, widespread adoption is constrained by challenges including data quality issues, algorithmic bias, cybersecurity risks, ethical concerns, regulatory uncertainty, workforce skill gaps, and the need for transparent and explainable AI systems. The findings further indicate that successful AI integration depends on effective governance frameworks, human-AI collaboration, continuous organizational learning, and responsible AI practices. The study concludes that AI is not replacing managerial judgment but augmenting human decision-making through intelligent data-driven insights. As AI technologies continue to evolve, organizations that strategically embrace responsible AI adoption while investing in digital capabilities and ethical governance are likely to achieve sustainable competitive advantage. This review contributes to the growing body of knowledge by providing an integrated understanding of AI's evolving influence on business decision-making and offering practical insights for business leaders, researchers, and policymakers navigating the future of intelligent enterprises.

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