## The shifting Landscape of Work in the Age of AI
For decades, high earnings have been concentrated in knowledge work, particularly within science and technology [[1]], [[2]]. However, the rise of generative artificial intelligence is poised to disrupt this trend. Employers are increasingly considering AI to fill roles previously held by white-collar workers [[3]].
This shift raises critical questions about the future demand for creative and analytical professionals, including computer programmers [[4]], [[5]] and those in entry-level knowledge economy positions [[6]].The implications extend beyond individual workers, impacting K-12 education as teachers adapt to preparing students for an AI-driven economy [[7]]. Families are also expressing concerns about the skills their children will need to thrive in this evolving landscape [[8]].Unlike previous waves of automation that primarily replaced routine and manual tasks [[9]], generative AI demonstrates an ability to simulate human capabilities in areas like coding, writing, and data analysis [[10]]. This poses a challenge to even the lower rungs of traditionally “safe” cognitive professions [[11]].
