Uvi, which raised $7.5 million in seed funding, says its own tests show company-built AI agents cost about eight times as much per answer. Both reports trace the figure to Uvi's testing, so it is a claim to reproduce on a buyer's workloads.
Perspective Coverage
3 publishers
- Builder
- Builder 43%
- Operator
- Operator 30%
- Investor
- Investor 27%
Reality
- Evidence30
- Adoption20
- Hype gap+35
- Incentives80
- Confidence60
buildConfirmed2 publishers Easy Fox took out a bank loan after its free, voice-controlled Steam demo ran up more than $1,000 a day in AI costs, Tom's Hardware reported. Every spoken command is a paid model call, so the bill grows with each player while the demo earns nothing.
Reality
- Evidence58
- Adoption20
- Hype gap+10
- Incentives40
- Confidence62
Cisco recasts Webex as the front end of its single AI platform
Cisco used WebexOne to present Webex as the place where people and agents meet on one AI platform consolidated from roughly 250 acquisitions. Many Webex buyers got their first detailed look at that pitch in a keynote about token budgets and agent network load.
Reality
- Evidence35
- Adoption20
- Hype gap+35
- Incentives75
- Confidence40
Ackman and Wood are measuring different ends of AI spending in their Fed rate dispute
Cathie Wood cites 99.99% annual falls in AI inference costs against Bill Ackman's warning that the Fed's September hike won't slow AI spending. Her figures price AI's output and his worry is demand for its inputs, so both can hold at once.
Reality
- Evidence30
- Adoption
- Not scored
- Hype gap+35
- Incentives
- Not scored
- Confidence35
Honeywell and Ecolab say frontier AI errs too often and costs too much for physical work
Honeywell's CTO put frontier AI at maybe 85% accuracy against the 99.9999% customers demand, and Ecolab said top models can cost more than people. Ecolab has since cut its token costs 70% to 80% by tuning, so cost looks like the easier of the two limits to fix.
Reality
- Evidence35
- Adoption40
- Hype gap+5
- Incentives55
- Confidence40
buildOne report1 publisher LessWrong cost study prices the median hour of AI task work at 4 cents of GPU time
LessWrong post puts the GPU cost of an AI doing an hour of median human work at about 4 cents, against a $25 US median wage. Current API prices narrow that gap sharply, and for the hardest tasks they lift AI cost to the hourly rate of a skilled engineer.
Reality
- Evidence30
- Adoption
- Not scored
- Hype gap+35
- Incentives
- Not scored
- Confidence35
buildConfirmed2 publishers OpenAI reports 3.1 agent-workdays of agent runtime for every human workday, then spends much of the same report explaining why research did not get 3.1 times faster. The residue lands on review, compute allocation and deciding what to run.
Reality
- Evidence55
- Adoption70
- Hype gap+25
- Incentives60
- Confidence60
Seat prices do not change, but the allowance sitting on top of each seat becomes a dollar balance of tokens, and the fallback to a cheaper model when that allowance runs out goes away on the same day.
Reality
- Evidence72
- Adoption55
- Hype gap+20
- Incentives75
- Confidence70
Kognitos's founder traces the enterprise token bill to undocumented work
Binny Gill argues in a Forbes council column that firms are paying reasoning-model rates for rule-following tasks. The two studies he cites measure consultants and a research router. Neither one measured an enterprise bill.
Reality
- Evidence30
- Adoption18
- Hype gap+35
- Incentives78
- Confidence38
McKinsey survey finds just 6% of companies report significant impact from AI so far
A Fortune essay by the authors of the forthcoming When Machines Act argues that the pacing fight misreads how AI reaches the economy. The survey lines it cites put the clock in enterprise data.
Reality
- Evidence32
- Adoption22
- Hype gap+18
- Incentives62
- Confidence36
buildOne report1 publisher VoxCPM2 trades the per-character speech bill for a GPU and a base-URL change
OpenBMB's 2B-parameter model is Apache-2.0, speaks 30 languages, and serves through vLLM's OpenAI-compatible /v1/audio/speech. The real-time factor quoted for it was measured on a different backend than the one the project recommends for production.
Reality
- Evidence38
- Adoption
- Not scored
- Hype gap+38
- Incentives42
- Confidence40
Uber's CTO calls time on tokenmaxxing after quadrupling its frontier AI users
Praveen Neppalli Naga says treating AI cost as an engineering problem lowered Uber's cost per token even as employee use grew. The spending data for the wider enterprise market points the other way.
Reality
- Evidence42
- Adoption55
- Hype gap+35
- Incentives68
- Confidence52
Adobe's $27.50bn of ARR works out to $27.50 a year for each of its billion monthly users
Adobe reported record third-quarter revenue of $6.76bn and its billionth monthly active user on September 10. By Shantanu Narayen's own split, freemium expansion explains only about half of the lowered ARR outlook.
Reality
- Evidence62
- Adoption72
- Hype gap+20
- Incentives65
- Confidence55
Seven cents a million tokens buys the capability that cost twenty dollars in 2022
Stanford's AI Index puts a 142-fold parameter cut and a more than 280-fold price cut behind one fixed MMLU threshold. That narrows where building your own still pays, and it lands in a state-law count that doubled in a year.
Publishers:hai.stanford.edu
Reality
- Evidence60
- Adoption68
- Hype gap+10
- Incentives40
- Confidence57
Canva's $7.1bn markdown is an inference bill, not a mood swing
Two separate valuers cut Canva the same way after a third came off its growth forecast. The stated cause was compute cost the company could not pass on to customers.
Reality
- Evidence61
- Adoption58
- Hype gap+14
- Incentives71
- Confidence55