Everyone talks about AI making existing work faster. That’s real but it’s the smaller effect. The bigger thing, two years in: the threshold for what’s worth attempting dropped significantly. Tasks that sat below “worth my time” crossed into “just do it” once the friction collapsed. I now write things I would have skipped. Analyse data I would have ignored. Follow up on conversations I would have let drop. Respond to opportunities I would have dismissed as too much work. None of this shows up in productivity statistics because there’s no baseline to measure against. The work didn’t exist before. It’s not faster work. It’s new work that only happens because the cost of doing it fell below my threshold. The economic story everyone’s telling about AI is about speed. The actual story is about which things become worth doing at all. Those are different claims with different implications and most forecasting treats them as the same thing. I wrote up the specific recurring tasks that crossed my threshold and how I run them in a doc here if it helps. submitted by /u/Professional-Rest138
Originally posted by u/Professional-Rest138 on r/ArtificialInteligence