Abundance and the monetary compression problem
Let Q be physical output and P its unit price. Nominal market size is approximately P×Q. A technology can increase Q by 100× while reducing P by 99%. Nominal market size then remains unchanged:
Old: P×Q = 1×1 = 1
New: 0.01×100 = 1
If the proportional price decline exceeds the proportional quantity increase, the nominal market shrinks even while real consumption expands. Computing demonstrates that capability-adjusted unit costs can collapse; it does not by itself demonstrate nominal market contraction, because expanding volume and new uses can more than offset falling unit costs.
The implication is subtle. A technology can be civilization-changing and financially deflationary for the category it transforms. The benefit appears as consumer surplus, new applications, lower required income, or new complementary markets rather than as proportional revenue for the producer of the abundant input.
This is why 'AI could create $X trillion of economic value' cannot be inserted directly into a revenue forecast. The more successful AI is at reducing the resource cost of producing outcomes, the more important the price response becomes.
Elasticity decides the nominal direction
The identity P × Q does not determine how Q responds when P falls. Let ε denote the absolute price elasticity of demand:
ε = −d ln Q / d ln P
| Demand response | When price falls | Provider revenue |
|---|---|---|
| ε > 1 | Quantity rises proportionately more | Rises |
| ε = 1 | Quantity offsets price exactly | Unchanged |
| ε < 1 | Quantity rises proportionately less | Falls |
The numerical P–Q pairs in this paper are scenarios, not estimated demand curves. Abundance can expand or contract nominal provider revenue. The empirical burden is to estimate elasticity, competitive share and price capture for the relevant use—not infer the outcome from falling unit cost.