This study examines how data-driven workforce development supports emerging firms in the United States in managing the growing skills gaps created by the rapid adoption of artificial intelligence (AI). As organizations integrate AI into daily operations, the demand for advanced digital and analytical skills has increased, exposing significant gaps in employee capabilities. Using a descriptive qualitative design, this study analyzes secondary data published between 2020 and 2025, including academic literature, government reports, and industry publications. Thematic analysis reveals that AI adoption intensifies talent shortages, particularly in emerging firms that lack structured training systems. However, the evidence shows that data-driven workforce development enables firms to identify specific skill gaps, design targeted learning programs and improve employee adaptability. These practices enhance competence, innovation, productivity, and competitiveness. The study argues that integrating data-driven workforce strategies is critical for preparing employees for technological transformation and sustaining long-term organizational performance in the evolving U.S. labor market.