Consumer surplus from generative AI (willingness to accept)
1What this measures
Aggregate annual US consumer surplus from generative-AI chatbots, estimated by Stanford DEL from willingness-to-accept surveys (users × mean WTA to give the tools up for a month, annualised).
Why it matters. The leak from the stack. If consumers keep more surplus than every layer earns in US revenue, the capture story is about who does not capture it.
- Proxy types
- welfare
- Unit
- USD
- Cadence
- annual
2How we track this
- series
stanford_del.us.genai_consumer_surplus_usd.pt - series
stanford_del.us.genai_mean_wta_usd_month.pt - series
hsbc.us.genai_consumer_surplus_usd.pt - source HSBC Insights (Global Investment Research) · default tier 5 · HSBC; short quotation
- source Stanford Digital Economy Lab · default tier 6 · Working paper
Direction over 1 periods, dead-band $10.0B; higher = dispersing.
Two annual waves so far, so the trend is one step; moves under $10B are within survey error. Rising surplus disperses value away from producers to consumers.
Applied to stanford_del.us.genai_consumer_surplus_usd.pt.
3Tracker interpretation
Consumer surplus is growing faster than any layer's revenue; the Nordhaus pattern (innovators keep a sliver) is so far holding.
4Evidence
5Status and reasoning
Stanford DEL WTA estimates: $116B (Jul 2025) to $172B (Mar 2026), one step above the $10B dead band; mean WTA $98 to $124.50 per month. Surplus is moving to consumers faster than any layer's revenue grows. Initial seed.
6Timeline notes
7Counterevidence
What cuts against this reading
A single survey series with a stated-preference method; WTA estimates run higher than willingness to pay. No high-frequency version exists.
8Update history
- 2026-09-10unmeasured to dispersingconf — → 65 · claude-initial-seed
Stanford DEL WTA estimates: $116B (Jul 2025) to $172B (Mar 2026), one step above the $10B dead band; mean WTA $98 to $124.50 per month. Surplus is moving to consumers faster than any layer's revenue grows. Initial seed.
9Confidence
65 / 95 — mixed or hard to operationalise
Confidence is independent of status: 90–95 multiple strong independent sources; 70–89 good evidence, some ambiguity; 50–69 mixed or hard to operationalise; below 50 limited or vague.
10Related
- Rent concentration in semiconductors concentrating
- Bottlenecks #70 (Narayanan & Kapoor's list)