Goldratt's replacement for cost accounting — measuring system performance through throughput (rate of value generation), inventory (investment in convertible assets), and operating expense — the framework through which the AI transition reveals itself as dramatically more nuanced than either triumphalist or alarmist narratives allow.
Throughput Accounting (TA) is Goldratt's alternative to traditional cost accounting, built on three measures he argued were sufficient to evaluate any system's performance. Throughput is the rate at which the system generates value someone outside the system is willing to pay for. Inventory is all the money invested in things the system intends to convert into throughput — a liability, not an asset, because it ties up capital and consumes management attention without contributing to throughput until conversion. Operating expense is all the money spent to turn inventory into throughput. The goal is always the same: increase throughput while simultaneously decreasing inventory and operating expense.
Throughput Accounting
In The You On AI Field Guide
Goldratt's revolt against cost accounting rested on a structural diagnosis: the measures most organizations use treat all costs as equally important and all revenue as equally desirable, which means they cannot distinguish between actions that improve system throughput and