Managerial challenges in intellectual property in the era of AI implementation
Keywords:
artificial intelligence, intellectual property, strategic management, innovation, dynamic capabilities, IP governance, AI regulationAbstract
The rapid development of artificial intelligence (AI) is reshaping how organizations create, protect, and commercialize knowledge, generating new managerial challenges in intellectual property (IP) management. This article identifies key organizational, legal, and strategic barriers related to IP in companies adopting AI systems. Based on a conceptual review of strategic management literature (RBV, dynamic capabilities), IP law, and AI technologies, supported by selected organizational cases, the analysis shows that AI produces novel outputs: algorithms, predictive models, generative content, and autonomous solutions that often fall outside traditional IP frameworks. This creates legal uncertainty, higher infringement risks, and the need to redesign governance models. The article proposes an integrated IP management approach for AI-driven environments that combines IP strategy, operational processes, and managerial competencies. Effective alignment of IP governance with innovation and regulatory processes is highlighted as a key factor for achieving sustainable competitive advantage in a data‑ and algorithm‑based economy.
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