The distributional question Kindleberger's framework forces — the specific populations who absorb the financial pain of a mania's resolution, with consequences that are never random and always structural.
The distribution of financial pain from a technological mania is not random. It follows a pattern Kindleberger documented with the attention to distributional specificity that an epidemiologist brings to the mapping of disease: the pathogen does not strike equally. It strikes along the contours of exposure, vulnerability, and access to institutional protection. The AI transition distributes its financial pain across four distinct populations — knowledge workers whose skills are being commoditized, entrepreneurs who built companies on pre-displacement assumptions, communities whose local economies depend on affected industries, and investors whose fiduciary positions include technology-sector exposure.
Who Bears the Cost
In The You On AI Field Guide
The first population is the knowledge workers whose skills are being directly commoditized. These are not unskilled or interchangeable workers. They are professionals who have invested years or decades in specialized expertise — software engineers, financial analysts, legal associates, marketing strategists — whose skills were valuable under the pre-displacement regime and whose compensation reflected that value. The financial pain takes compounding