States and Localities Must Address AI's Erosion of Entry-Level Career Pathways

Artificial intelligence is eliminating learning opportunities from entry-level jobs that traditionally served as stepping stones to better-paying positions, with recent Census data showing computer science graduates earning 13 percent less than peers in less-exposed fields. Half of occupations most exposed to AI are gateway roles that provide essential on-the-job training, and without these career ladders, young workers face stalled advancement despite remaining employed. State and local governments have tools to address this challenge but responsibility is currently fragmented across multiple agencies and organizations.

Recent Census data reveals a significant wage penalty for graduates entering the job market after AI's emergence, with computer science majors facing approximately 13 percent lower starting salaries than their counterparts in less-exposed fields. This earnings gap mirrors conditions graduates typically experience during severe economic downturns. The challenge extends beyond unemployment: approximately half of occupations most vulnerable to AI automation are entry-level positions traditionally designed to provide structured, on-the-job skill development that enables workers to advance into higher-paying roles.

Government responsibility for addressing this transition remains fragmented across multiple agencies at state and local levels, including workforce development boards, labor departments, apprenticeship programs, and educational institutions. Currently, no single entity coordinates these efforts or tracks which entry-level positions retain meaningful learning opportunities as AI transforms job responsibilities.