Rohan Paul (@rohanpaul_ai)T2·68 pts
- AI automation is disproportionately affecting 'routine, repetitive' entry-level tasks, disrupting traditional career progression paths for young workers.
- IMF models reveal asymmetric economic risks: an AI bust could cause a 1.1% output loss by 2028, nearly double the 0.6% gain projected from an AI boom by 2029.
- The tripling of AI hardware trade value since 2019 is driven by rising prices rather than increased shipment volumes, contributing to core-goods inflation in rich economies.