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Abstract

Artificial intelligence (AI) is revolutionizing the role of technology within business strategy, shifting from an enabler to a driver of business model innovation, operation reinvention, and competitive advantage. This research examines the transformative impact of AI capabilities, including intelligent automation, predictive analytics and foresight, platform innovation, personalized customer experience, and value creation from data. Using theories of digital transformation, the resource-based view, and dynamic capabilities, the authors develop a theoretical framework that shows how capabilities related to AI affect strategy formulation and business model redesign as well as organizational outcomes. The key point in the argument is that competitive advantage through AI is achieved not solely through algorithmic means, but also by leveraging the combination of data assets, AI-infrastructure scalability, human knowledge, effective governance, and the learning process. The industry trend toward increased AI adoption is evident in the recent Stanford AI Index report, which found that 78% of businesses used AI in 2024, up from 55% in 2023, and that investment in AI worldwide exceeded $252.3 billion in 2024 [10]. The paper will discuss the topics of AI-based innovation strategies, ways of digital transformation, governance needs, and strategic threats, including data bias, AI model opacity, cybersecurity risks, disruption of employment patterns, and regulatory pressure. The presented AI Business Strategy Transformation Framework will be valuable for executives, consultants, and academics working on AI-enabled strategies and business model innovation.

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Citation: Ebenezer Amakeh (2026) Artificial Intelligence and Business Strategy Transformation: AI-Driven Innovation, Digital Transformation, and Competitive Advantage. Epistora J. Artif. Intell. & Intell. Syst. 1(1), 1-10. Article EJAIS-104