The user wants me to revise the entire set of filed notes into ONE Markdown note that is the current best statement of what is established. Let me inventory all the claims across the notes and synthesize.

Core question: Do universities grow or shrink due to AI? Regional dependence (SEC growth vs Northeast decline)?

Let me go through the notes:

**Note 1/2 (bifurcation + demography):** By 2045, US higher ed bifurcates rather than uniformly shrinks — top ~100 grow, middle hollows into teaching-only, bottom third merges/closes. Regional decline tracks demographic map more than AI. AI is accelerant/sorter, not primary cause. Demography is the load-bearing wall: births fell ~4.32M (2007) → ~3.59M (2023), ~17% (CDC/NCHS); HS grads peak ~3.9M/yr ~2025 (WICHE); post-2008 birth dearth hits college age 2029–2037. Northeast/Midwest/Plains lose 10–20% college-age; TX/FL/TN/GA/Carolinas grow. Kill-switch: if selective privates AND flagships both show flat/declining yields and international demand despite AI tools, degree itself is devaluing — deeper than bifurcation.

**Note 3 (two-front squeeze):** Births 4.32M → 3.59M (~17%). Two-front squeeze: fewer 18-year-olds AND degree signal weakened (skills directly verifiable). Hardest hit: Northeast/Midwest small privates + open-enrollment regional publics; most resilient: SEC/Sun Belt flagships + super-selectives (prestige-elastic, not cohort-elastic). Adaptations: admit-standard relaxation, international recruitment contingent on visa policy, credential repackaging. Watch-tell: endowment repurposing from prestige spending to need-based discounting = fighting the cliff.

**Notes 5/6 (program mix × region — most evolved mechanism):** Program mix (licensed vs unlicensed share of credit hours) is dominant predictor of institutional direction; region governs whether the winning mix is reachable. Licensed expansion (nursing, engineering, allied health) takes 7–10 years (clinical placements, faculty pipelines, facilities, state approvals) — longer than declining-region enrollment runway → decline locks in. SEC/Sunbelt publics: +10–25% seats through ~2040 as legislatures fund them as economic development. Northeast small privates without licensed core: −30–50% by 2040 regardless of governance quality. Surviving Northeast exceptions: licensed-core with hospital-system or land-grant ties. Formulation: "program mix picks the winners, regional demography picks which losers can still switch." Falsification: if Northeast pivot attempts succeed at rates comparable to Sunbelt licensed launches, pivot-lag mechanism wrong — decline is governance-fixable, not structural.

**Note 8/9 (revenue shock):** AI's tuition shock is a revenue event before a headcount event. 2026–2032 mismatch window: seats priced above ~$15k net with no licensed-credential anchor empty fastest; lands first in Northeast/Midwest regional privates. Mechanism: buyers defect, not enrollees vanish. Anchors: degree wage premium (BLS), AI hollowing entry-level roles (Stanford Digital Economy Lab "Canaries in the Coal Mine"). Demand migrates to "protected degree + AI skill stack." Online-only and workforce-funded providers ship in months; traditional campus needs 3–7 years through faculty governance and accreditation. Revenue falls while seats hold.

**Note 9 (instruction staffing cost):** By 2035, AI substitution for grading/tutoring/TA labor cuts instructional staffing cost per credit hour ≥25% from 2025 levels at US four-year institutions outside top-50; published real tuition at teaching-focused regionals flat or falling as savings competed away. Falsified if: instructional labor share stable/rising in 2035 IPEDS, or real published tuition at teaching-focused regionals rising >2%/yr through 2035.

**Notes 10/11 (cost structure — savings competed away):** AI instruction savings competed away, not banked. Oversupplied market (demographic cliff 2025–2038) → cost cuts passed through as tuition discounting → tuition-dependent middle gains no margin, only price war. Gains accrue to students and AI-native low-cost operators; endowment-rich elites hold sticker. Middle compressed from both sides. Tuition, not faculty headcount, is where disruption shows first. Regional divergence in use of savings: growth states reinvest to expand; shrinking states cut costs/slow closures. Same technology, opposite outcomes.

**Notes 12/13 (research function):** Bifurcation into ~150 fortress research institutions vs ~3,000 teaching-first schools. Moat: