[mandarwagh]

Good point, and you are right that a lot of futurism reads like sci-fi. That said, this piece is not just imaginative storytelling, it is mechanism-based forecasting. The timeline links observable trends—rapid LLM capability gains, falling inference costs, cloud APIs that make deployment trivial, and huge economic incentives to replace repeatable knowledge work—with plausible policy and social responses, like UBI and regulatory lag. History shows these transitions can compress once the cost/benefit threshold is crossed, think smartphones, cloud services, or the sudden shift to remote work during COVID. So yes, the dates are aggressive, but the logic is empirical: if the technical and economic levers align, adoption can be much faster than we intuitively expect. If you want a stronger case, I can add a clear assumptions list and evidence anchors for each step.