New research led by Stanford economist Lukas Althoff suggests that artificial intelligence (AI) is likely to reshape jobs rather than eliminate entire occupations, potentially increasing wages for all workers, particularly lower-skilled individuals. The study argues that AI simplifies job tasks, reducing the skill requirements needed to perform certain roles, thereby enabling lower-skilled workers to access higher-paying positions. Over a lifetime, these workers could earn 15% to 45% more compared to a scenario without AI. The research, published as a working paper by the National Bureau of Economic Research, introduces a new framework focusing on 'simplification' as a key effect of technological change, differing from prior models that emphasized automation or augmentation. According to the findings, AI may help reduce the wage gap between high and low earners, contrary to fears that AI might exacerbate inequality.
Bias read (Center): The article presents research suggesting AI may benefit lower-skilled workers and reduce wage gaps, but does not exhibit overtly biased language, one-sided sourcing, or omission of context. It cites academic research and provides balanced quotes from the researcher without apparent ideological slant






