“It only took a few months of token-based billing for the AI conversation to go from “our magical, beautiful agents” to “hmm, are we sure this is worth it?” and I believe it only gets worse from here.”
Our reading:
Doubts about whether AI spending is worth it, which grew after token-based billing began, will only get worse from here.
Assessment: Unresolved
What happened
Did the forecast come true?
Outcome: Unresolved
We checked, and the evidence so far doesn’t settle it.
Judged on a plain reading. They named no measure, so we used the reading a typical informed reader would take. It is spelled out under “How we judged it”.
Evidence up to . Checked .
Why
Harness reported that 60% of respondents “overran their budget last quarter” [e5]. Dun & Bradstreet's July 28, 2026 release reported that 28% saw broad or strong returns across multiple AI projects [e6]. These findings document budget overruns and reported returns, which can coexist [e5; e6]. They do not establish a comparable change in enterprise doubts about AI spending after June 8, 2026, or a sustained worsening or reversal [e5; e6].
Caveats
- The packet contains no comparable before-and-after series directly measuring enterprise doubts about AI's economic value.
- The surveys cover different populations and questions. Dun & Bradstreet's release does not supply exact fieldwork dates.
- Harness's quoted finding does not specify exact dates for “last quarter” or explicitly identify the budgets as agent budgets.
- The forecast has no deadline. Finite observations cannot establish indefinite worsening.
Evidence (2 items)
Context only: Harness,
overran their budget last quarter.
Why it matters: July respondents reported widespread recent budget overruns, making cost concerns plausible. The survey measures spending control among existing adopters, not a comparable change in skepticism since June.
- Publisher
- Harness
- Kind of source
- Company disclosure: the company describing itself, not an independent finding
- About events on
- Published
Context only: Dun & Bradstreet,
28% report “broad” or “strong” ROI across multiple projects.
Why it matters: The quarterly survey reports substantial positive experiences, providing countercontext to uniform deterioration. Its ROI categories do not directly measure changes in skepticism; the release does not give exact fieldwork dates.
- Publisher
- Dun & Bradstreet
- Kind of source
- Independent measurement
- About events on
- Published
How we judged it
- Kind of claim
- Forecast
- Deadline
- None given. We don’t add one.
Where we had to interpret
- I assess the forecast that enterprise doubts about AI spending will increase after June 8, 2026.
- The preceding description of token-based billing supplies background, not a conditional antecedent.
- The ordinary reading concerns a broad worsening trend, not every customer's opinion worsening continuously.
- The post supplies no deadline, numerical threshold, survey population or sentiment measure.
- Comparable repeated surveys of confidence in AI's economic value are more direct measures than spending growth or isolated complaints.
Right if: Comparable repeated measurements would need to show a broad, sustained increase in doubts about AI spending after publication. Without a deadline, observations can support a trend but cannot establish that it will only worsen indefinitely.
Wrong if: A broad, sustained reversal toward greater confidence on comparable measures would counter the forecast. Isolated successful deployments or higher spending alone are insufficient.
We wrote this test after the outcome was known.
What would settle it
Comparable repeated surveys measuring enterprise doubts about AI's economic value, with documented fieldwork dates and substantially unchanged questions, populations and methods. Compelling evidence of a broad, sustained reversal toward greater confidence could establish contradiction under the early-resolution rule. Sustained worsening could support the trend but could not conclusively prove indefinite worsening.
We found 28 claims in this post. See them all.
Full record
Source and dates
Where's Your Ed At, AI Is Slowing Down, paragraph 91.
- Said
- We read the source
- live page, full text, public
- Evidence up to
- Checked
We read this wording on 2026-10-28. The post may have been edited after 2026-06-08.
Where it was said (1)
Said once in the posts we read.
: Where's Your Ed At, AI Is Slowing Down
It only took a few months of token-based billing for the AI conversation to go from “our magical, beautiful agents” to “hmm, are we sure this is worth it?” and I believe it only gets worse from here.
- Where
- paragraph 91
- Published
- 2026-06-08
- We read it
- , live page
- Access
- full text, public
History
Versions
- Current: Unresolved. Evidence up to 2026-10-28.
What happened to this record
PublishedBy us
Published after both AI reviews and the final check passed.
Held backBy us
The final check failed: a cited source didn’t say what the write-up said, and the write-up said more than the evidence showed.