Bill Ackman Says Stocks Are "Stupidly Cheap"

SpaceX is reportedly targeting a $75 billion IPO that could value the company at $1.75 trillion and may allocate ~30% of shares to retail — a potentially record-setting deal if realized. Market commentators debate AI's impact on third-party demand aggregators (e.g., Expedia, Instacart): bulls argue AI will deepen proprietary data and improve conversion/retention, while bears warn agentic AI could disintermediate platforms. Billionaire Bill Ackman flagged that some high-quality names are 'stupidly cheap' and cited Fannie Mae/Freddie Mac as multi-bag opportunities; panelists also highlighted potentially undervalued stocks including Howard Hughes, Lululemon, Microsoft, and Alphabet.

Analysis

AI agent capabilities are a genuine disintermediation vector for pure-search intermediaries, but the realistic economic playbook over the next 12–36 months is differentiation, not replacement. Platforms that own fulfillment, payments, or local execution can convert model-driven personalization into measurable take-rate expansion (we model 100–300bps incremental gross margin per year if conversion + retention improve). Conversely, aggregators without first-party fulfillment face scenario risk: a 20–40% long-run revenue hit if they fail to monetize API/agent integrations or lose preference data to AI intermediaries.

A large, headline-grabbing primary issuance that concentrates retail demand and institutional book-building will compress available liquidity in the secondary market for a multi-quarter window. Expect transient correlations across AI/space/tech suppliers to spike (add +0.2–0.4 to pairwise rho) and implied vol skew to steepen on large-cap long-dated call demand, which creates favorable structures for selling premium against directional exposure. Market-making desks will widen spreads, creating execution slippage for large block trades and a pick-up in opportunities to harvest volatility.

The policy/credit narrative around housing finance shifts convexity in a way that disproportionately helps originators and fintech lenders if perceived tail risk is reduced; that reaction can be rapid (weeks) after policy headlines but just as quickly reversed by regulatory friction or macro shocks. Finally, retail momentum around headline stories tends to oversubscribe low-float, high-vision names, amplifying both short-squeeze and lock-up expiration risks — hedge liquidity and skew exposure accordingly when positioning around conviction names.

Key Decisions for Investors

• MSFT – Buy a Jan-2028 1.5x LEAP call spread (long ITM call / sell higher strike) sized to 2–4% of tech book. Entry on a ≤10% pullback in the stock. Rationale: capture platform-level AI monetization while funding premium; target 2:1 reward:risk over 12–24 months; stop if negative catalysts reduce cloud growth expectations by >20% YoY.
• Pair trade: Long UBER / Short EXPE – Initiate a 60/40 dollar-neutral pair with 6–18 month horizon (target 25–40% relative outperformance). Size to 1–2% net exposure. Rationale: favor first-party execution and real-time logistics data over pure aggregator exposure; stop-loss if pair moves against by 15% intrapair.
• NVDA – Buy staggered long-dated calls (two tranches: 12m and 24m) financed by selling short-dated calls against 20–30% of position to harvest IV. Timeframe 12–24 months; target 50–150% uplift if AI hardware demand normalizes higher. Risk: high premium decay and execution-sensitive; cap allocation to 3% of risk budget.
• LULU – Accumulate on weakness under 8–10% from current levels, add protective 9–12 month puts (buy-write + collar). Timeframe 12–24 months; target mid-teens P/E re-rating with 30–60% upside if international comp improves. Maintain tight stops if margin compression persists beyond two consecutive quarters.
• HHH – Small, tactical long (1% of equity book) as asymmetric optionality on real-estate re-rating and potential corporate actions. Use 6–12 month horizon and size for optional upside (40–100%) while acknowledging illiquidity; set market-impact-aware exit plan and cap exposure until corporate catalysts materialize.