Let me understand the task. The final instruction is: "Revise the notes as a set: keep every claim that still holds, drop repetition, sharpen wording. Output one Markdown note that is the current best statement of what is established. Start with a # title, then short paragraphs, then: What would change this: … Keep sources or Unverified: tags. Do not mention tools, sessions, or that you are revising."

So this is a consolidation turn. I need to produce ONE comprehensive Markdown note that is the current best consolidated statement of what's established across the entire Mind: Do US universities grow or shrink due to AI over the next 20 years, with regional dependence?

Let me compile the full durable inventory from all the notes:

**Core answer:**
- "Both" — the system bifurcates and thins; not uniform growth or shrink
- Total enrollment drifts ~19M → ~14–15M by 2045 (Unverified)
- Institution count falls while degrees conferred stay roughly steady — "thins, doesn't shrink"
- Median campus roughly halves
- AI is an accelerant/sorter of existing trends, not the primary cause
- Two-front squeeze: fewer 18-year-olds AND weakened degree signal
- Barbell: system shrinks at the median while top decile grows; total flat-to-down 10–20% outside flagships
- AI cost efficiency doesn't shrink the sector; it reallocates capacity — same efficiency monetized as headcount shrinkage in declining regions vs. growth capacity in growth states
- Attrition timing: savings realized when vacated faculty lines aren't refilled

**Demography (sourced):**
- Births 4.32M (2007) → ~3.59M (2023), ~17% decline (CDC/NCHS)
- HS grads peak ~3.9M/yr ~2025 (WICHE "Knocking at the College Door")
- Birth dearth hits college age 2029–2037
- NE/Midwest/Plains lose 10–20% college-age cohorts (WICHE); TX/FL/TN/GA/Carolinas grow
- WICHE ~13% decline in HS grads by 2041
- Net domestic migration to Sun Belt (Census Bureau)
- Regional divergence locks in demographically by late 2030s; AI converts headwind into closure rather than stagnation

**Regional/tier structure:**
- SEC-corridor applied flagships grow 30–50% headcount by ~2045
- Sun Belt gains across tiers (+10–25% seats through ~2040) as legislatures fund higher ed as economic development
- Nonselective Northeast/Midwest contracts roughly one-third; closures concentrated PA, OH, IL, New England
- Tier-moderated not geography-absolute: Ivies/elite Northeast privates insulated
- Real dividing line: endowment depth (privates) + state-subsidy commitment (publics); region sets the demand curve
- Intra-state bifurcation: within growth states money flows to flagships; tuition-dependent schools in SEC states can hollow out faster than NE peers
- By 2045 regional labels matter less than institutional balance sheets; the disruptable university is any tuition-first institution with AI-substitutable product
- Casualties in "sufficiency band": regional-public branches, SUNY comprehensives, tuition-dependent small privates below ~60% occupancy
- Program mix × region: licensed vs unlicensed share of credit hours = dominant predictor; licensed expansion takes 7–10 years (longer than declining-region runway); "program mix picks the winners, regional demography picks which losers can still switch"
- Three-exposure overlap: decline concentrates where tuition-dependence/thin endowments + shrinking cohorts + signal-exposed degrees stack
- SEC/Sunbelt growth is share-absorption, not sector expansion — the American university is moving, not growing
- Flagship-selective publics (Georgia Tech, Michigan, Ohio State) hold longest because selectivity is a positional good — until 2035–2045 window when credential decay may strip even selectivity-protected regionals

**Credential value / signaling:**
- Screening vs insurance decomposition: screening dies first; insurance (blame-shifting/liability) persists through 2040s
- Degree survives as trust/insurance credential, not competence credential — AI can assay competence but not diligence/trust
- Selection-based signals are AI-proof (sorting at 18); certification-based signals are not
- Signaling migrates upward to selectivity/brand: "which degree" becomes the signal when "has a degree" stops discriminating
- Elite degrees gain value BECAUSE verification makes mid-tier signals redundant
- Licensed/statute-gated fields hold (nursing, law, accounting, teaching, engineering, medicine); licensure pins ~20% of US employment to degrees (Un