Artificial Intelligence and Its Business Implications in the Automotive Industry
Artificial Intelligence and Its Business Implications in the Automotive Industry

Summary/Abstract: Research background: Artificial intelligence transforms industrial activities, particularly in the automotive sector, where companies face pressure to improve efficiency and competitiveness. Existing research highlights AI as a driver of operational and strategic advancement, yet empirical evidence on its financial impact remains limited. This study contributes to the literature by analysing how AI adoption influences financial outcomes of major automobile manufacturers. Purpose of the article: The purpose of this article is to assess whether the implementation of artificial intelligence is associated with significant changes in selected financial indicators. The study applies a quantitative approach to evaluate the relationship between AI adoption and company performance, focusing on sales, year-over-year sales growth, return on equity, and profit after tax. Methods: The empirical analysis is based on publicly available annual reports of three leading automobile manufacturers Mercedes-Benz, Audi, and Volkswagen, covering the period 2003–2023. The research design includes testing distributional characteristics of the financial data followed by the application of variance analysis methods suited to the results of the normality tests. Findings & Value added: The results indicate that the impact of artificial intelligence on financial performance varies across companies and indicators. In several cases, statistically significant relationships were identified, suggesting that AI adoption may contribute to improved business outcomes. However, the effect is not uniform and depends on company-specific conditions and implementation strategies. The study adds value by demonstrating that while AI holds strong potential to enhance performance in the automotive industry, its benefits materialize only through context-sensitive integration. The findings provide relevant insights for both academics and practitioners and highlight opportunities for future research on AI’s role in shaping industrial competitiveness.

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