The introduction of generative AI has sparked a significant divide in the labor market, where seasoned professionals are being favored over career starters. The shift is a result of AI's tendency to devalue textbook knowledge that newcomers depend upon while simultaneously enhancing the value of experiential knowledge that experienced workers possess. This trend highlights a potential crisis for those entering the workforce, as they may struggle to compete with established professionals adept in leveraging AI technologies.

Since the launch of ChatGPT in late 2022, discussions surrounding AI have oscillated between fear and trivialization. However, over forty academic studies published in the last six months provide empirical evidence that generative AI acts as what scholars describe as “seniority-biased technological change.” This indicates that the current technological advancements disproportionately benefit individuals with extensive experience, further entrenching existing inequalities in the job market.

The implications of this shift are profound for companies and the organization of work. As businesses adapt to these changes, there may be an urgent need to rethink hiring practices and career development strategies. The growing reliance on experiential knowledge may demand new approaches to training and mentoring, ensuring that newcomers are equipped to thrive in an increasingly AI-driven landscape while retaining the value of traditional knowledge systems.