Stock Market Could ‘Sink’ Donald Trump, Warns Top Economist

Economist Desmond Lachman warns that U.S. equities are “priced for perfection” and that an AI-driven valuation bubble could burst in 2026, triggering a broad market correction and secondary effects such as cutbacks in data‑center investment, reduced funding for AI startups and potential loan defaults. His warning comes as Trump highlights stock-market gains—S&P 500 +16.4% in 2025 (after +23.3% in 2024), Nasdaq +20% (after +29%), Dow ≈+13%—and Lachman notes such a correction would have political implications ahead of the midterms and likely prompt blame on the Fed and high interest rates.

Analysis

Market structure: A concentrated, AI-driven rally leaves winners (large-cap cloud/AI incumbents: MSFT, GOOGL, AMZN; core bond proxies like TLT during a growth shock) and losers (small-cap AI plays, data‑center REITs EQIX/DLR, venture‑backed AI startups). Pricing power shifts to cash‑generative platforms if capex collapses; lumpy data‑center supply contracts will amplify P&L hits. Cross‑asset: an AI correction likely raises equity volatility (VIX +20–60% in weeks), compresses commodity demand (oil down ~5–15%), and pushes real yields down if growth expectations fall, benefitting long-duration Treasuries.

Risk assessment: Tail risks include a 30–50% drawdown in top AI names, large venture loan defaults causing regional bank stress, or regulatory/antitrust actions that shutter monetization paths—any could materialize within 3–12 months. Immediate risk (days) is sentiment-driven gap down; short-term (1–6 months) is capex pullback; long-term (12–36 months) is reallocation of R&D and permanent valuation compression. Hidden dependencies: startup leverage to non‑bank lenders, and data‑center lease cliffs that create concentrated downside.

Trade implications: Hedge portfolio beta immediately with 3–4% allocation to TLT (6–12 month hedge). Buy 6‑month put spreads on NVDA and AMD sized 1–2% each (30% OTM buy / 45% OTM sell) to cap cost; add if names drop >30%. Short EQIX/DLR (combined 2–3% notional) via shares or 9–12 month puts; buy 3–6 month VIX call spreads (2% notional) to monetize vol spikes. Rotate 2–3% from growth into defensive staples (XLP) vs 1–2% short QQQ as a relative hedge.

Contrarian angles: Consensus fixes on an ‘AI bubble’; missing is that MSFT/GOOGL have multi‑year cloud cash flows that can weather a cycle—buy these on >25% drawdown with 12–24 month horizon. Small‑cap AI and data‑center shorts are likely underpriced now, but over-hedging could force liquidity squeezes; history (2000 vs 2008) shows dispersion matters—scale hedges to idiosyncratic risk not market beta.

Key Decisions for Investors

• Establish a 3–4% portfolio hedge in long-duration Treasuries (TLT) over 6–12 months to protect against a >20% equity drawdown; trim if 10‑year yield rises >75bp or equities recover >15% from lows.
• Buy 6‑month put spreads on NVDA and AMD sized 1–2% notional each (buy ~30% OTM put, sell ~45% OTM put to finance); add equal-sized increments if the underlying falls >30% or implied vol rises >40%.
• Initiate a 2–3% short position in data‑center REITs EQIX and DLR (combined) via shares or 9–12 month puts; set stop-loss at 15% adverse move and take profits if names drop 25–40% or leasing guidance weakens.
• Allocate 2% to VIX call spreads (3‑6 month expiries) to capture volatility spikes; target payoff if VIX >30 or front-month futures move +50% intramonth.
• Implement a sector pair trade: go long XLP (2–3%) and short QQQ (1–2%) as a rotation play for 3–6 months; widen/close if QQQ underperforms XLP by >10% or macro data indicates renewed growth momentum.