Price becomes a ratio
post price = baseline price x (1 - compression)
An 80% reduction leaves a 0.2 price ratio. That ratio drives both unit price and the demand response.
Find the demand threshold where cheaper tokens stop shrinking spend and start enlarging the infrastructure value pool.
All values are assumptions. Nothing here is live provider pricing, a market forecast, or investment advice.
Pool bars: $25.920K to $124.813K
At the selected elasticity, higher volume and a larger infrastructure capture share expand infrastructure dollars despite lower token prices.
The source thesis is conditional. Price, volume, and capture share have to be modeled together before margin redistribution has a direction.
post price = baseline price x (1 - compression)
An 80% reduction leaves a 0.2 price ratio. That ratio drives both unit price and the demand response.
demand multiplier = price ratio ^ (-elasticity)
At 1.6 elasticity, a 0.2 ratio produces 13.1326 times the baseline token volume. This is a scenario relationship, not a measured market law.
infrastructure pool = customer spend x infrastructure capture share
The threshold solves the elasticity that makes the post-compression pool exactly equal to the baseline pool.
Baseline token volume and price establish the dollar scale. Compression and elasticity shape demand. Capture share and model margin allocate scenario dollars. None is fetched from a provider or treated as current fact.
At 0.3 elasticity with the same 80% compression and capture-share shift, the demand multiple is only 1.6207x and the infrastructure pool contracts.