Economists argue that after AGI, scarcity may shift to human-relational services, but the labor share's fate depends on whether new capital varieties prevent satiation.
About Epoch · Google DeepMind · Stanford · University of Chicago · Alex Imas · Phil Trammell Filed #ai #automation #economics #inequality #productivity Related When Will They Take Our Jobs? Even if AI capabilities continue advancing, human employment may persist for 10-20 years during the 'Cyborg Era' but will eventually end as AI becomes superior, though premature policy interventions to protect jobs should be avoided.
also on Alex Imas , #economics , #ai Life At The Edge - Asad Khaliq Computing advances in fractals of concentration and diffusion; AI inference is now diffusing to edge devices, but cloud models remain essential for peak capability.
also on Epoch , #ai 9 theses on AI | Sarthak Munshi AI progress is constrained by long-task reliability, labor reallocation, cost inefficiencies of general APIs, the declining value of raw coding skills, inadequate benchmark testing, the limits of formal verification without strong specs, memory-bound local hardware advantages, the shift from data to environment-driven training, and the rising competitiveness of US open-weight models.
also on Stanford , #automation , #ai 
Alex Imas and Phil Trammell – What remains scarce after AGI?