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Where all of this comes from. How much demand each college has: its Fall 2025 headcount, multiplied by a rate measured at a university that already runs a service like this — 4,488,101 questions asked by 5,721 eligible people in a year, converted into how many conversations are open at the same moment in the busiest hour. That comes to 1.44 conversations per 1,000 people; the measured campus itself came to 1.43, and Berkeley and Michigan agree within the same range. Slower, more thoughtful answers take longer and roughly double the need, which is what the exam-week setting covers. Different subjects use AI at different rates, from a survey of 95,000 students. What the machines cost: Apple's education prices, verified 2 September 2026. What they can carry: measurements on the same chips plus our own test run, which passed its isolation checks. What staff cost: the loaded Provo wage published by the US Bureau of Labor Statistics. How the money is shared out: the college with the highest demand times its strategic weight draws first from the shared pool; Smith Engineering and Science get the heavyweight machines; about one machine in seven is held as a spare; one rack kit per six machines. When to buy more: the plan says add six minis whenever weekly load sits at 70% of capacity or higher for two weeks running. Three years out: expect about 1.9 times the first year's demand (somewhere between 1.3 and 2.4 times) as more people adopt it — the number of eligible people barely grows, about 0.6–1.3% a year. Full method and every source: the guide, §13.

Prepared independently by Utlyze. Not a publication of, endorsed by, or affiliated with Utah Valley University.