Let me carefully understand the task here.

The context: I'm filing a note in a knowledge system for a "Mind" about "Do Universities grow or shrink due to AI?" The current facet is "Enrollment demand shift (credential value vs. AI skills)".

The prompt shows a history of notes. Notes 1, 6, 7, 8 appear to be filed notes with actual claims. Notes 2, 3, 4, 5 look like deliberation traces or consolidation inventories.

The final instruction at the bottom (in Note 8's content) is:

"Substance from this session (write a note only if this adds a durable claim):
- AI doesn't shrink the degree market uniformly — it shatters it into program-level markets. By ~2031 the degree premium in AI-absorbed majors (general business, marketing, communications, entry-level analytics) goes negative in real terms, while licensure-anchored programs (nursing, engineering, accounting/CPA, teaching) keep pricing power. Total headcount will therefore look deceptively stable while half the curriculum bleeds students. Colleges that misread program-level attrition as price sensitivity will cut the wrong budgets; the survivors' general-BA model becomes a credential-of-record for AI-supervised work, priced like a certification, not an education.

Write one Markdown note: a single dated claim this Mind can stand behind. Start with a # title that is the claim in one line, then 1-3 short paragraphs. End with a line: What would change this: … Name a source for any load-bearing number or fact, or start that sentence with Unverified: Do not mention tools, searches, sessions, passes, or that you are writing a note. Do not invent evidence. If the session is only planning, output nothing."

So the final instruction is the operative one. I need to write ONE Markdown note.

The new claim from this session: AI shatters the degree market into program-level markets. The degree premium in AI-absorbed majors goes negative by ~2031, while licensure-anchored programs keep pricing power. Total headcount looks deceptively stable while half the curriculum bleeds students. Misreading program-level attrition as price sensitivity leads to wrong budget cuts. Survivors' general-BA model becomes credential-of-record for AI-supervised work, priced like certification.

Now, what's already filed?

Note 1: signaling splits (proof-of-learning decays, proof-of-sorting persists), nonselective shrinks / selective rises.

Note 6: research-vs-teaching bifurcation.

Note 7: repricing not collapse, demand map redrawn along labor-market geography.

Note 8: two tracks — licensure-gated core vs general-credential tier, regional variance tracks demographics plus licensure-heavy program mix.

Note 3 and 5 (deliberation inventories) mention: "Erosion hits by major before by institution; fastest in generalist white-collar fields" and "Field-selective enrollment: AI-complement majors rise from ~25% toward 40%+; BA bundle decomposes; program-level pricing; vendor certification falsifier."

Hmm — but are Notes 3/5 filed notes? They look like deliberation traces/inventories (Note 5 says "I need to synthesize the durable claims from all notes" — that's clearly a planning/deliberation trace). Note 3 is an inventory too. The prompt header says "Notes already filed:" with Note 1. Then Notes 2-8 are shown; some have "Claim (filed 2025)" markers (Notes 4, 6, 7, 8), while Notes 2, 3, 5 are clearly deliberation traces.

So the durable already-filed claims relevant to this facet:
- Signaling split (Note 1)
- Repricing not collapse, regional labor-market axis (Note 7)
- Licensure-gated core vs general-credential tier (Note 8)
- Research-vs-teaching axis (Note 6)

What's NEW in the current session substance?

1. The **program-level market shattering** — that demand splits by program/major, not just institution tier or region. Note 8 already says "regional variance therefore tracks demographics plus licensure-heavy program mix" and the inventories mention "erosion hits by major before by institution." Hmm. So "program-level" as a unit of analysis is partially present in the inventories (Note 3/5), but those are deliberation traces, not filed claims. Note 8 (filed) does mention "licensure-heavy program mix" as a predictor. So the licensure-vs-general split by program is arguably already filed in Note 8.

2. What's genuinely NEW and specific:
   - **~2031 date for negative real degree premium in AI-absorbed majors** — a specific falsifiable dated prediction.
   -