Whoever wins AI race will shape the future of ‘international order,’ says former Pentagon official

Mark Beall, former Pentagon AI policy director, warned that dominance in advanced AI will determine the shape of the future international order, framing AI as a geopolitical and domestic political battleground. For investors, the commentary highlights elevated strategic and policy risk—potentially boosting defense and AI vendors while increasing the probability of export controls, regulation, and government-directed investment; monitor defense primes, leading AI platform and chip providers, and shifts in regulatory or export-control regimes.

Analysis

Market structure: A US-led AI dominance narrative benefits vertically integrated semiconductor leaders (NVDA, ASML, TSMC suppliers) and hyperscalers (MSFT, AMZN, GOOGL) through pricing power on chips, cloud GPU rentals and defense contracts; expect 10–30% incremental TAM reallocation to cloud/AI infra over 12–36 months. Firms reliant on commoditized CPU cycles or exposed to Chinese export controls (certain Chinese cloud/AI names) are at risk of margin compression and restricted market access.

Risk assessment: Tail-risks include sharp export-control escalation or an AI safety incident that triggers heavy regulation — each could compress multiples by 20–40% for high-PE AI names within weeks. Near-term (days–weeks) volatility will spike around policy headlines and earnings; medium-term (3–12 months) outcomes depend on CHIPS Act funding flows and ASML/TSMC capacity; long-term (2–5 years) winners are those controlling fabs, EUV access, and proprietary models.

Trade implications: Favored plays are concentrated: hardware moats (ASML), GPU leaders (NVDA) and defense contractors (RTX, LMT) plus cybersecurity (CRWD, PANW) for counterparty risk. Use option structures to buy upside while capping cost (call spreads) and hedge systemic tail risk with protective puts or short-dated volatility purchases around key policy/election windows.

Contrarian angles: The consensus of durable US monopoly is incomplete — manufacturing concentration (TSMC) and EU/China policy shifts could rebalance market share; valuations already price near-term dominance, making high-PE AI equities vulnerable to regulatory tightening or supply shocks. Consider scenarios where export controls accelerate onshoring, benefiting equipment makers (ASML) but raising capex and reducing near-term free cash flow for hyperscalers.

Key Decisions for Investors

• Establish a 2–3% long position in NVDA (ticker NVDA) via purchase of a 12–18 month call spread (e.g., Jan 2027 400/600 calls) to capture continued GPU demand while capping premium outlay; scale into position over 4–8 weeks and reduce by 50% if NVDA rallies >30% or if implied volatility spikes >40%.
• Add 1.5–2% long in ASML (ticker ASML) cash or Jan 2027 LEAPs to play lithography moat; hold 12–24 months and trim if ASML underperforms the SOX semiconductor index by >15% or if EU/US export policy materially restricts EUV shipments.
• Initiate 1–2% long in a defense contractor (RTX or LMT) to capture Pentagon AI procurement; prefer RTX (ticker RTX) if valuation gap vs peers exceeds 10% and sell into any post-contract announcement pop >20%.
• Implement a pair: long 1.5% CRWD (cybersecurity) and short 0.75% BIDU (Chinese AI/cloud exposure) to express US-regulation/geo-risk divergence; maintain for 3–12 months and re-evaluate if US-China policy statements change within 30 days. Also buy 0.5% notional NVDA 3–6 month OTM puts as systemic tail protection.