Nils Gilman argues that as AI automates routine cognitive tasks like data manipulation and document drafting, human value in the workplace will shift toward judgment-based skills. He contends that the most prized workers will be those able to decode a sea of outputs, spot meaningful signal, and translate it into trustworthy action, and advocates for liberal arts education as increasingly valuable because cross-disciplinary thinking helps professionals interpret complex contexts and synthesize solutions machines cannot yet reliably replicate. He warns, however, that without equitable access to such education and proper governance structures, this “judgment economy” could exacerbate inequality and concentrate wealth among AI owners.
