The Economic Impact of AI Adoption: Measuring Productivity and Competitive Advantage in International Enterprises

Аннотация

This article covers the economic impact CITATION Samoilenko Vladyslava. analysis by quantitative assessment through COPYRIGHT implementing artificial intelligence technologies. It © 2025 Original content from this work may be used under the terms analyzes how AI solutions are Productively applied and of the creative commons attributes 4.0 License. the formation of sustainable competitive advantage in multinational corporations. The relevance of this study is justified by the rapid growth that exists in corporate and venture investments in AI, a forecast of global AI spending to reach USD 632 billion by 2028, and a need for companies to adapt business processes as fast as possible to keep them competitive in the international market. The novelty of the work lies in a comprehensive synthesis of industry statistics (CB Insights, IDC, McKinsey, PwC, OECD), resource‐based theory of the firm, and the concept of dynamic capabilities to explain sustainable advantages. The methodology includes descriptive and comparative analysis of financial metrics, macroeconomic forecasts of AI’s added value, and detailed case studies of implementations at Google, Amazon, Nike, and Starbucks. The significant results show that, in general, artificial intelligence raises firms’ labor productivity by 0–11%, improves Overall Equipment Effectiveness in manufacturing, quickens Time‐to‐Market, and increases Customer Lifetime Value in retail and services. Generative AI can add between 1.3% and 9.3% of revenue in different fields of business; also, the worldwide economic impact is approximated at USD 2.6–4.4 trillion per year. Sustainable competitive advantage emerges at the intersection of VRIN resources (unique data, algorithms, infrastructure) and The American Journal of Management and Economics Innovations 22 https://www.theamericanjournals.com/index.php/tajmei firms’ ability to sense, seize, and transform new The study's materials and methodology rely on analyzing opportunities rapidly. At the same time, the key 29 sources, including industry reports, government constraints are regulatory costs, the capital intensity of publications, academic articles, and empirical case infrastructure, and the hype cycle effect. This article studies. Comprehensive data on corporate and venture will be helpful for managers, strategists, and analysts investments were drawn from CB Insights reports [1–4], of multinational corporations, as well as consultants while forecasts of global AI spending were sourced from and researchers assessing the economic efficiency and IDC studies [5, 6]. Economic mechanisms and models of competitive benefits of AI implementation. competitive advantage are based on Barney’s resource‐ based theory of the firm [11], as extended in the works Keywords: artificial intelligence; economic impact; labor of Ristyawan [12] and Simón [13] on organizational productivity; competitive advantage; VRIN; dynamic dynamic capabilities. Empirical cases and practical capabilities; generative AI; macroeconomic recommendations were taken from European contribution. Parliament reports [7], Samsung SDS cost‐optimization studies [8], and IBM and FIU research on personalization and predictive analytics [9, 10].