‘Plumbers regularly earn more than lawyers’: Top entrepreneur makes a bold prediction that AI will flip the American Dream

$12 trillion: Priestley warns that blue-collar roles—which the Aspen Institute says underpin roughly $12 trillion of U.S. GDP—are poised to gain value as AI disrupts white-collar work. Vocational enrollment rose 16% in 2023 and Jobber projects demand for electricians/plumbers/HVAC will outpace the 4% average through 2033, while a Brookings study suggests >30% of U.S. workers could see at least 50% of tasks disrupted by generative AI. Implication: tilt labor- and skills-focused allocations (training, trades-related services, skilled-labor equipment) vs. pure white-collar automation plays; this is structural but not an immediate market-moving shock.

Analysis

The structural thesis here is not just AI replacing tasks but a rapid reallocation of real wages toward occupations with physical scarcity and high local switching costs. When an AI can scale to replace document drafting overnight, its marginal cost advantage is global and immediate; by contrast, a plumber or electrician requires time-consuming certification, regional licensure, and hands-on labor — meaning wage inflation in trades can persist for years without a fast supply response.

Second-order effects will show up in input-costs and capex: contractors and landlord-operators will face higher labor rates, pushing up renovation and maintenance costs and, by extension, pushing some CAPEX from labor toward automation/robotics suppliers that augment skilled workers. This creates a bifurcation — beneficiaries are physical-goods distributors, apprenticeship/vocational providers, and industrial automation vendors; losers are architectures of commoditized knowledge work (high-volume legal/research back offices, entry-level consulting) where substitution risk is highest.

Catalysts and timing: enrollment and hiring trends move on quarters (3–12 months) but wage and margin re-pricing in construction and property management play out over 12–36 months. Reversal risks include slower-than-expected AI adoption due to liability/regulatory pushback or a policy response (subsidized apprenticeships/immigration that refills trades), both of which could materially delay the rotation and compress prospective returns.

Key Decisions for Investors

• Long HD (Home Depot) — buy shares or 12-month ATM calls. Rationale: durable pro-contractor demand and pricing power as trade wages rise; target +15–25% in 12 months vs a 10% drawdown risk if housing activity stalls.
• Long ROK (Rockwell Automation) or ABB (ABB) — buy 18-month calls or stock. Rationale: automation to augment scarce skilled labor; expect 20–30% upside in 12–24 months if contractors accelerate capex, limited downside if industrial cycle softens (use covered calls to reduce basis).
• Pair trade: Long MAN (ManpowerGroup) / Short RHI (Robert Half) — 6–18 month pair. Rationale: MAN has larger exposure to blue-collar technical staffing; RHI is more concentrated in white-collar temps vulnerable to AI. Target relative outperformance of MAN vs RHI of 15–25%; hedge market beta to reduce macro risk.
• Tactical high-risk: Long LINC (Lincoln Educational Services) — buy 12–24 month equity or deep ITM call. Rationale: direct play on vocational enrollment tailwinds and apprenticeship monetization; asymmetric payoff (potential >2x) but high execution and regulatory risk — position size 1–3% of tactical sleeve.