Adopting Generative AI: Challenges and Solutions Through an Organizational Maturity Framework

Abstract

This article explores the dynamics of generative artificial intelligence (GAI) within the framework of organizational transformation, shedding light on the opportunities and challenges of its integration. GAI, capable of autonomously generating content (texts, images, predictive analyses), redefines decision-making processes and work methods, as exemplified by applications such as AlphaFold in healthcare and MidJourney in marketing. While companies like Google, Tesla, and Lockheed Martin rapidly adopt GAI, driven by a culture of innovation, substantial investments (e.g., Google’s $75 billion in 2024), and advanced infrastructure, other sectors, such as healthcare and public education, face barriers due to regulatory constraints, ethical concerns (e.g., algorithmic bias), and a lack of skills. The article proposes an organizational maturity framework with four levels (Beginner, Exploratory, Advanced, Leader) to assess organizations’ readiness for GAI integration, and outlines strategic levers – agile approaches, experimentation, and ethical governance – to ensure successful adoption. Grounded in a heuristic analytical approach and a multidisciplinary theoretical framework, this analysis provides a conceptual and operational framework for sustainable GAI adoption.