Industry theses

Every industry pays a frontier price for questions a cheaper tier could answer.

Model routing is being absorbed into the platforms that own distribution — Stripe moving to acquire OpenRouter, xAI acquiring Cursor. Qua argues the opposite side of that trade: the routing layer belongs to the buyer, with a receipt on every answer. Seven theses on what that is worth, industry by industry.

These are theses, not deployments. Every saving shown is modelled and potential.
Seven industries

Pick the one you buy for

Each page maps five real workflows to the tier that could answer them, states the assumptions behind the modelled ledger, and names the controls that industry’s regulator will ask about.

Finance

Banks, asset managers and insurers could resolve routine questions without paying for premium inference. This thesis models how Qua would reserve expensive reasoning for permitted work where its expected value exceeds its incremental cost.

$200–340bn · Estimated annual banking AI value

Payments

Payment operations could answer repeated merchant and scheme questions from controlled knowledge before invoking a model. This thesis models lower inference spend without treating generative AI as a payment authorisation engine.

236.6bn · US noncash payments in 2024

Airlines & aviation

Airlines and aviation operators could retrieve approved procedures before paying a model to interpret them. This thesis keeps operational authority with qualified staff and reserves premium reasoning for permitted, non-safety-critical analysis.

83.6% · Record passenger load factor, 2025

Defense & national security

Defence organisations could answer administrative and acquisition questions inside an approved environment before considering metered inference. This thesis models an unclassified pilot, not an authorised classified deployment or an operational decision system.

$2.887tn · Global military spending in 2025

Marketing & creative agencies

Agency AI spend can accumulate across research, adaptation and review long before a campaign ships. Qua would resolve routine questions from approved knowledge first, reserving premium reasoning for work where its expected value exceeds its incremental cost.

$294.6bn · US internet advertising revenue, 2025

Healthcare & life sciences

Healthcare and life sciences combine repetitive information work with strict limits on disclosure and error. Qua would keep approved answers and enterprise retrieval inside the perimeter, escalating only authorised tasks that need additional reasoning.

$5.3tn · US health expenditure, 2024

Retail & e-commerce

Retail teams repeatedly answer questions about products, orders, policies and returns. Qua would resolve stable knowledge cheaply, retrieve changing facts within the perimeter and reserve premium reasoning for authorised exceptions.

$316.1bn · US e-commerce sales, Q4 2025