Even college graduates no longer think a degree is worth the cost as the once-safe path to the American dream is now seen as a risky venture

A nationwide NBC News poll finds 63% of registered voters now say a four-year degree is "not worth the cost" (up from 47% in 2017 and 40% in 2013), while only 33% say it is worth it; even college graduates flipped to 46% support from 63% in 2013. The report cites rising student debt, tuition having doubled at public colleges (and +75% at private schools since 1995), climbing joblessness among recent graduates since 2022 (after the arrival of ChatGPT/AI), and Goldman Sachs analysis showing the recent-grad labor-market edge at historic lows—trends that weigh on higher-education equities, consumer credit exposure, and long-term enrollment/demand forecasts.

Analysis

Market structure: The secular re‑pricing of a four‑year degree shifts demand toward low‑cost, modular credential providers and hands‑on vocational training — winners include scalable EdTech platforms (UDMY, COUR) and staffing/trade placement firms (MAN). Traditional four‑year institutions, student‑housing REITs and lenders that rely on new undergraduate origination (SLM, select muni credits tied to campuses) lose pricing power as enrollment falls; expect tuition discounting and margin compression over 2–5 years.

Risk assessment: Tail risks include a regulatory swing (federal re‑subsidy or targeted funding for public universities) that could restore enrollment, or an accelerated AI adoption wave that wipes out broad entry‑level hiring within 12–24 months. Near term (days–weeks) impacts are muted; medium term (3–12 months) expect revenue repricing/earnings revisions for EdTech and student‑loan originators; long term (1–5 years) structural secular demand shift. Hidden dependencies: demographics (Gen Z cohort size), immigration policy and corporate hiring cycles will amplify or blunt the trend.

Trade implications: Favor long picks in scalable skills providers (UDMY/COUR) and staffing for skilled trades (MAN), buy AI infrastructure exposure (NVDA/MSFT) as automation demand supports platform monetization; reduce or hedge student‑housing REITs and student‑loan originators (SLM). Use calendar/LEAP options to express 6–18 month views while limiting downside; pair trades (long vocational staffing, short lenders/REITs) offer asymmetric risk/reward.

Contrarian angles: Consensus focuses on destroying university economics but underestimates universities’ pricing power at the top tier and their endowment/credential bundling (executive education, online masters) which could reprice rather than collapse. The market may be underpricing an acceleration into paid micro‑credentials bought by employers — that would favor scalable platforms and corporate training vendors over pure consumer lenders; look for idiosyncratic mispricings when enrollment data prints and GS labor reports diverge from polls.

Key Decisions for Investors

• Establish a 2–3% long position in Udemy (UDMY) and a 2% long position in Coursera (COUR) as 12–18 month core longs; enter on any pullback of ≥12% from current price, target +40–60% upside, hard stop at −25%.
• Allocate 2% to AI infrastructure (NVDA or MSFT) via buying 12‑month 20% OTM calls (LEAP style) to capture increased automation demand that replaces entry‑level roles; exit or reassess at 12 months or if NVDA/MSFT up >50%.
• Trim student‑housing REIT exposure (e.g., American Campus Communities/peer holdings) by 50% over next 3 months and redeploy proceeds into UDMY/COUR/MAN; if student housing REITs widen spread vs. regional REIT index by >200bp, increase hedges.
• Implement a 1–2% pair trade: long ManpowerGroup (MAN) via 6–12 month calls and short Sallie Mae (SLM) via 6–12 month puts (or 1–2% notional short equity) — thesis: trade/talent placement gains vs. lower origination and credit risk for student lenders.
• Monitor three catalysts over next 30–90 days: (A) monthly recent‑graduate unemployment staying > overall unemployment for two consecutive months, (B) any Department of Education policy shifts restoring funding, and (C) Goldman Sachs follow‑up labor reports — if A occurs increase long EdTech weighting by +1–2%; if B occurs reduce conviction and close shorts.