Business Pill · Why cheaper AI can mean a bigger bill
The Jevons paradox says that when something becomes cheaper to use, people can use so much more of it that total spending goes up. A falling price is not a falling bill.
A short explainer video, under a minute. The finance chief and the two-line chart are an illustration.
At a glance
What the Jevons Paradox Is
This has a name: the Jevons paradox. When something becomes cheaper to use, people can use so much more of it that total spending goes up.
Two Lines
With AI, two lines tell the story. The price of one answer falls.
Why It Matters
The video says the one question to ask is: if the price halves, how much more will we use?
Picture a finance chief who gets wonderful news: the price of each AI answer has fallen by ninety percent.
Now that answers are cheap, every team finds ten new uses. Three months later, the bill has tripled.
What the Jevons Paradox Is
This has a name: the Jevons paradox. When something becomes cheaper to use, people can use so much more of it that total spending goes up.
It was first noticed with coal, in the 1860s. Engines became more efficient, and the country burned more coal than ever.
Two Lines
With AI, two lines tell the story. The price of one answer falls. The total bill climbs.
This publication’s own arithmetic from the video’s two figures: a ninety percent fall leaves a tenth of the old price, and a tripled bill is three times the old bill. On an index where each starts at 100, the price goes to 10 and the bill to 300.
The index values are this publication’s arithmetic from the video’s 90% fall and tripled bill. The video’s own chart has no scale.
Why It Matters
The video says the one question to ask is: if the price halves, how much more will we use?
A falling price is not a falling bill. Budget for the use, not for the price.
The key insight: A falling price is not a falling bill. Budget for the use, not for the price.
The paradox asks whether cheaper, faster output leads to more use. Ai2’s early numbers on a faster mode are small and come with a caveat. In our report, Ai2 says that among 374 Asta users who tried its Fast mode, 29.1% used it on two or more days and users averaged 3.67 report threads with it.
From our news coverage
Ai2 also says the feedback is too sparse to draw strong conclusions.
The Business Engineer Lens
Where this idea sits in the Business Engineer library:
The Business Engineer framework maps where each part of the AI stack sits and who holds the leverage. These pills are short lessons from the same library.
The Jevons Paradox builds on Inference. Cheaper answers bring many new uses, and since inference is paid per answer, total spending follows volume.
The Jevons Paradox contrasts with Gross vs Net Savings. A ninety percent price cut looked like a saving, but use grew so the bill tripled: the cut is not what you keep.
Gennaro Cuofano is a CRO and tech executive who has worked in AI since late 2015, starting with bringing NLP, natural-language generation, voice and chatbot products to the marketing industry. His background is in law and finance: he holds a Master's degree in Law and an International MBA with an emphasis on corporate finance (LUISS Business School and the University of San Diego, 2012), and worked as a financial analyst at a real-estate investment firm in San Diego and as an assistant controller. His work focuses on business model strategy, business engineering and, more broadly, structural analysis: how companies make money, read from their own filings. He created FourWeekMBA and leads research there and at The Business Engineer, his newsletter on AI and business strategy, with over 95,000 subscribers and more than 1,000 published analyses. His writing has also appeared on Entrepreneur (for example, How to Digitize a Family Business in Europe) and HackerNoon. Find him on LinkedIn and Substack. See how we source.
Scroll to Top
Discover more from FourWeekMBA
Subscribe now to keep reading and get access to the full archive.
