The current facet: Enrollment demand shift (credential value vs. AI skills).

Notes already filed include Note 7 (the enrollment barbell claim), Note 8's analysis showing that the ready-to-file enrollment claim was nearly identical to Note 7, and various notes on signaling, cost structure, research function, and consolidation.

Now the session substance (the actual new content) is in the last paragraph block — the text starting "Substance from this session (write a note only if this adds a durable claim):"

The new claim: credential-value decay hits **by major before it hits by institution**. Employers' skills-based hiring plus verifiable AI proficiency first replaces the degree-as-filter in AI-exposed generic majors — general business, communications, intro IT — so their enrollment hollows out through the 2030s. Licensure-gated majors (nursing, engineering, teaching, law, accounting-CPA) keep degree demand because the state license, not the signal, is the true bottleneck; AI can't legally substitute. Net effect: national headcount trends roughly flat-to-down, but the real disruption is **compositional churn** — universities' fates track their program mix. Health-sciences and engineering-anchored campuses hold; generic liberal-arts/teaching-heavy regional campuses lose the enrollment middle regardless of region.

So what's genuinely NEW relative to what's filed?

Note 7 (filed): barbell polarization by TIER (top holds, bottom thins), regional divergence is demand-mix not AI, micro-credentials illusion.

Prior signaling notes: licensed vs unlicensed enforcement mechanisms, mid-tier unlicensed BA premium compression, degree reprices from entry ticket to exit credential, "protected degree + AI skill stack."

So the licensed-vs-unlicensed distinction is ALREADY filed (in signaling notes and the consolidation). What's the increment here?

The new increment is the **level of analysis shift**: by-major-before-by-institution. The unit of disruption is the major/program, not the institution or the degree as a whole. The mechanism: skills-based hiring + verifiable AI proficiency substitutes for the degree-filter major-by-major, in order of AI-exposure and attestation-richness. Licensure-gated majors hold because the bottleneck is statutory, not signaling. Consequence: **compositional churn** — flat-to-down national headcount but massive program-mix churn within institutions; campus fates track program mix (health-sciences/engineering-anchored hold; generic liberal-arts/teaching-heavy lose the middle) regardless of region.

The consolidation note (Note 3) has: "Program mix × region: Licensed vs unlicensed share of credit hours = dominant predictor; region governs whether winning mix reachable. Licensed expansion takes 7–10 years..."

So "program mix predicts fates" IS already filed. Hmm.

What's the distinct durable increment then?

1. **The sequencing claim**: decay hits by major before it hits by institution. This is a temporal/level-of-analysis claim — the 2030s look like compositional churn within roughly stable institutions before institutional divergence fully manifests. Enrollment loss shows up as empty seats in generic majors at still-open campuses first; institutional shrinkage follows with a lag.

2. **The mechanism specification**: skills-based hiring + verifiable AI proficiency replaces degree-as-filter major-by-major in order of AI-exposure — general business, communications, intro IT first. The majors named specifically (general business, communications, intro IT) as the first to hollow.

3. **The licensure mechanism sharpened**: the state license, not the signal, is the true bottleneck; AI can't legally substitute. This is a sharpening of "licensed fields hold" — the reason is statutory bottleneck vs. signal quality.

4. **Net effect framing**: national headcount roughly flat-to-down through the transition; the disruption is compositional churn. This is a distinct forecast shape — churn before decline.

5. **Campus-type claim**: health-sciences and engineering-anchored campuses hold; generic liberal-arts/teaching-heavy regional campuses lose the enrollment middle regardless of region. The "regardless of region" is a sharpening — program mix dominates region in the early phase (2030s), before regional demography reasserts.

Wait, but the prior filed material says "Program mix picks the winners, regional demography picks which losers can still switch." That's about which program mix wins and regional lock-in. The new claim's "regardless of region" is about