It offers agentic engineers and AI builders a concrete, mechanistic framework for thinking about AI's downstream economic tail risks — useful context for anyone building or investing in AI systems who wants to reason about second-order market effects beyond the usual hype/doom binary.
A speculative macro-economic thought experiment framed as a 2028 research memo, arguing that continued AI capability gains could trigger a 'human intelligence displacement spiral' — white-collar job losses, collapsing consumer spending, mortgage and credit defaults, and a deflationary crash — even as corporate profits and GDP figures appear strong ('Ghost GDP').
It's presented as a scenario exploring left-tail risks of AI-driven productivity growth, not a prediction.
