Raw LLM Responses

The deeper issue for me is that there is still a long distance between an LLM and a reliably deployable worker-like system, so I would be careful with any clean narrative about AI simply "doing most of the work". The more plausible near-term path is narrower: specialized systems supporting bounded and repetitive tasks, while shifting a great deal of effort into verification, integration, exception handling, and governance. In many cases the work does not disappear. It moves. And that is before the larger complexity problem even begins. Economic roles, institutional structures, incentives, and social expectations do not reconfigure in straight lines. They interact, adapt, and generate second- and third-order effects that are hard to model in advance. So I agree with the importance of the question, but I think we should be careful with simplified futures. If greater prosperity is possible, that would be an extraordinary gain. But getting there requires much deeper thinking than the current wave of hype, fear, or linear extrapolation usually allows.