Artificial Intelligence and Strategic Management: A Theoretical Analysis of Technological Innovation, Competitive Advantage, and Sustained Organizational Performance in Businesses

Abstract

Strategic management theory has absorbed successive technological disruptions by asking a
consistent question: does the new technology change the sources from which firms derive sustained
competitive advantage, or does it merely change the speed at which firms pursue advantages the
field already understands? This paper argues that artificial intelligence (AI) demands a more
differentiated answer than either alternative offers on its own. Integrating the resource-based view,
dynamic capabilities theory, and behavioral strategy with recent empirical evidence on AI adoption,
innovation, and firm performance, the paper develops a theoretical account in which AI's strategic
significance operates through three related but analytically distinct pathways: a technologicalinnovation pathway, in which AI functions alternately as an originator and a facilitator of novel
solutions; a competitive-advantage pathway, in which AI capability, rather than AI technology as
such, determines whether adoption yields defensible advantage; and a sustainable-performance
pathway, in which AI's contribution to environmental, social, and governance outcomes is
increasingly documented but remains mechanistically underexplained. The paper shows that these
three pathways share a common vulnerability the applied strategy literature has not adequately
addressed: none converts automatically into durable organizational performance without a
governance layer capable of allocating decision authority appropriately between algorithmic
recommendation and human strategic judgment. Drawing on evidence that superior algorithmic
predictions frequently fail to improve real decisions once human override authority is exercised
without adequate calibration, the paper proposes an integrated model linking AI capability, the
exploration-exploitation balance, and sustainable performance, and considers the implications of
that model for strategic management practice, policy, and future research.