CURRICULUM FOR A DIGITAL AGE: AI AS A CATALYST FOR STRATEGIC LEARNING AND CAPABILITY DEVELOPMENT IN EMERGING PHARMACEUTICAL MARKETS

Abstract

In an era defined by rapid technological change, fostering a digital-age curriculum is critical for enhancing strategic learning capabilities and digital preparedness of pharmaceutical firms. Such curricula prioritize competencies in artificial intelligence (AI), data interpretation, and agile decision-making—skills essential for success in emerging markets. This study explores how AI technologies—machine learning (ML), natural language processing (NLP), and predictive analytics—act as catalysts to develop dynamic capabilities (sensing, seizing, transforming) in Pakistan’s pharmaceutical sector. Through semi-structured interviews with 47 managers across 20 firms, analyzed via thematic analysis and Gioia’s methodology, findings indicate AI significantly enhances these capabilities: sensing through real-time market analysis. NLP improved customer segmentation accuracy by 35% (e.g., NLP-driven competitor monitoring), seizing with predictive analytics improving demand forecasting accuracy by ~30%, and transforming via predictive maintenance systems reducing operational costs by ~20%. Although limited by sample size and potential self-reporting bias, this study represents one of the first empirical works linking AI to business development—rather than drug discovery—in Pakistan’s pharmaceutical industry. The results offer a foundational framework for designing strategic learning curricula and capability development initiatives aimed at accelerating AI adoption and digital maturity in emerging markets.