From Idea to Impact: The Role of Artificial Intelligence in the Transformation of Business Models

Marcel Figura · Denis Juracka · Jorma Jaakko Imppola

4 citations0/0 files storedManagement Dynamics in the Knowledge Economy

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Digital Innovation in Industries Business Strategies and Innovation Artificial Intelligence Applications

Abstract

Abstract Artificial intelligence (AI) is becoming a significant driver of transformation in the business environment, particularly for startups, which are characterised by high levels of adaptability, innovation orientation and strategic flexibility. Startups that incorporate artificial intelligence into their structures and processes are reshaping traditional approaches to value creation. This study aims to explore how artificial intelligence influences the formation and evolution of business models in startups across different industries. The analysis draws on academic literature, case study evidence and current market observations in order to identify key areas where artificial intelligence may affect fundamental business model components. The comparative part of the study focuses on differences between AI-driven startups and traditional companies that did not emerge as startups and do not rely on artificial intelligence as a core strategic technology. The comparison is carried out within three selected industries, namely banking, automotive manufacturing and retail. The study applies the Business Model Canvas (BCM) as a conceptual tool to evaluate the configuration of business models in both categories of companies. The results of the analysis indicate that startups using artificial intelligence are creating new types of business models in which AI plays a significant role in shaping the value proposition, sales channels, and revenue streams. Traditional companies, on the other hand, are not transforming their business models radically but are integrating artificial intelligence mainly in support areas. Building on these findings, this research contributes to the broader understanding of business model innovation under the influence of artificial intelligence and outlines the analytical foundations for identifying structural distinctions between AI-driven startups and traditional companies.

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References

2020Human Trust in Artificial Intelligence: Review of Empirical Research 2021Artificial Intelligence and Management: The Automation–Augmentation Paradox 2019Algorithms at Work: The New Contested Terrain of Control 2017What can machine learning do? Workforce implications 2020Rising with the machines: A sociotechnical framework for bringing artificial intelligence into the organization 2009Business-Model Innovation: General Purpose Technologies and their Implications for Industry Structure 2021How AI capabilities enable business model innovation: Scaling AI through co-evolutionary processes and feedback loops 2016Capturing value from big data – a taxonomy of data-driven business models used by start-up firms

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