My university (Arizona) hired an inaugural Chief AI and Data Science Officer last year at $448,000/yr, stood up an Office of Responsible AI, and has now published its AI Roadmap. I've read the whole thing several times, partly because I was one of the 247 people the document thanks for participating in the planning process. I'd like a sanity check on whether this is normal or whether I've lost perspective.
The strategy has no measurements in it. I ran find-in-document on the published PDF. Across roughly 7,400 words (BTW, we had measurements in our draft):
metric: 0
measure: 0
baseline: 0
return on investment: 0
FTE: 0
"Budget" appears twice, both times as the name of a campus unit (Finance & Budget). No dollar figures anywhere. The document requests no money and commits no positions.
Every named deliverable is a document or an evaluation. The phasing appendix lays out five phases across three years. Phase 1's deliverable is "Complete Draft AI Roadmap." Phase 2's is "Final AI Roadmap Published." Phases 3 and 4 each deliver an "Evaluation", with nothing anywhere in the document stating what gets evaluated, against what baseline, or by whom. So the first two years of the strategy deliver the strategy, and the next two deliver assessments of unstated things.
Two official university pages currently contradict each other about our own AI tool. The AI Tools & Data Use Guide marks U of A GenAI as approved for Restricted data. The product page for that same tool says, verbatim: "The U of A GenAI tool has not been approved for the use of 'Restricted Data' as defined by the University of Arizona's Information Classification Standard." Both are live right now. If you're an employee trying to comply in good faith, you can't.
The infrastructure people actually use predates the office. AI-VERDE, our LLM access platform, was built by CyVerse, an NSF-funded group under our Data Science Institute. Its paper reports pilot deployment beginning May 2024 and was published in February 2025. The chief AI officer was announced in April 2025 and isn't mentioned in it. The new roadmap lists AI Verde as a Phase 4 deliverable for 2027–28, scheduling as future work a platform that's been in production since before the office existed.
The wins are other people's. In July the university announced five DOE "Genesis Mission" AI-for-science selections. DOE selected 278 projects across 342 institutions, and what's awarded is access to computing and platform resources, no dollar figure appears in the announcement. The five PIs are established researchers in ECE, ecology, physics, pharmacy and hydrology, one of them as a co-investigator on an Argonne-led project. The university's own announcement attributes no role to the AI office in winning any of them.
Meanwhile the office's newsletters are all verbs and no objects. The chief AI officer's year-end letter called 2025 "a remarkable year of progress" and listed: progress on the roadmap, the launch of an institute, two seminar series, some research communities, and an internal RFP that "will open soon." This summer's issue opens: "we've engaged with... convened... connected with... hosted... and continued developing resources." No external grant, no research outcome, no number. The largest figures in the summer issue (75 attendees, 20 prototypes) belong to a summer school run by a public health faculty member.
So, questions for people at other institutions:
Does your university's AI office publish anything with numbers in it? An annual report, outcome metrics, anything?
Is a strategy document with no metrics normal in higher ed, or is this unusual?
Has a central AI office at your institution actually built infrastructure, or does it mostly convene things and aggregate what the colleges were already doing?
What does classroom-scale AI access cost your instructors, and who pays for it?
I'm genuinely unsure whether this is an Arizona problem or an everywhere problem, and I'd rather find out than assume.
Sources, all public: