Cím:
Understanding Frontier AI’s Implications for Business Model Innovation
Szerző(k):
Ottó Werschitz
Nyelv:
English
Terjedelem:
25 oldal
Oldalszám:
76-100.
Absztrakt:
Recent advances in large-scale, multimodal, reasoning-capable and agentic artificial intelligence—often described as frontier AI—are expanding the scope of what AI systems can autonomously generate, reason about and execute. While these developments create unprecedented possibilities for internal organisational and external market-facing innovation, current research shows that the adoption of AI technologies does not automatically lead to economic value creation. In addition, even if existing business model frameworks and AI-specific business model approaches provide useful foundations, they remain insufficient for capturing the characteristics of frontier AI systems from economic and business value creation points of view. This introductory article seeks to clarify the conceptual gap by examining how frontier AI differs from classical AI in its technical properties, functional capabilities, organisational implications and market-facing innovation opportunities. It reviews the limitations of traditional business model approaches in this context and builds on theoretical insights from business model innovation, technological opportunity framing and organisational readiness research. The paper argues that frontier AI challenges core assumptions of existing business model tools and highlights the need for developing a new methodological approach to designing and evaluating business models enabled by frontier AI. The article concludes by outlining a research agenda intended to guide such future methodological development and provides two illustrative preview lenses—a working typology of frontier AI configurations and value-chain business model archetypes—to motivate subsequent papers in the series.
Kulcsszavak:
Frontier AI, Business Model Innovation, Foundation Models, AI Value Creation; General-Purpose Technology, Cognitive Task Automation
ISBN:
ISBN 978-615-82082-9-1
ISSN:
ISSN 1587-2386
Kötet:
2025
Szám:
01
