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LARRY KUDLOW: President Trump checkmates Russia and China in the great game

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LARRY KUDLOW: President Trump checkmates Russia and China in the great game

The piece argues that President Trump has strengthened U.S. geopolitical and security positions—securing military access in Greenland (including Pituffik), pursuing influence in the Western Hemisphere (Venezuela, Cuba), and brokering a TikTok deal—while simultaneously leveraging U.S. oil dominance to pressure Russia and China. It credits a domestic economic boom (claims of ~5% growth, wages rising >4%, falling gasoline prices and inflation headed below 2%) and a productivity surge from AI/technology as bolstering consumer take‑home pay and reinforcing a bullish market backdrop.

Analysis

Market structure: If Trump-style energy/geopolitical moves materialize (more US Arctic access, Venezuela pressure, lower global oil price), winners are US secular AI/tech leaders (NVDA, MSFT) via lower input inflation and higher real growth, defense primes (LMT, RTX, NOC) from basing/space deals, and consumer-sensitive sectors (airlines AAL, consumer discretionary XLY). Losers: high-cost marginal oil producers and E&P explorers (XOP constituents, OXY, CLR) and Russian/EM energy-linked exporters. Expect downward pressure on Brent/WTI if ~1–3 mbpd incremental Western supply/discounting occurs within 3–12 months, compressing exploration capex and shifting pricing power toward low-cost US majors (XOM/CVX). Risk assessment: Tail risks include military escalation with Russia/China or OPEC+ coordinated cuts that spike oil >$90/bbl (high impact, <20% probability over 12 months), regulatory breakup of tech/TikTok data deals, and protectionist trade measures that undercut global supply chains. Near-term (days–weeks) noise from CPI prints and OPEC statements; medium-term (3–12 months) political developments (elections, sanctions); long-term (1–3 years) structural shifts in energy capital allocation and AI productivity adoption. Hidden dependency: oil price direction is sensitive to OPEC+ reactions and global growth; geopolitical wins may take months to translate into supply shifts. Trade implications: Tilt portfolios into defense (LMT/RTX/NOC) and AI leaders (NVDA/MSFT) while running short exposure to marginal shale (XOP, OXY) and selective commodity names. Use options to express asymmetric views: buy LEAPS on NVDA for 12–24 month upside, buy 3–6 month puts on XOP to hedge energy downside, and sell covered calls on consumer cyclicals after fuel-driven rallies. Cross-asset: if CPI falls toward <2.0% over two prints, move 3–5% into long-duration Treasuries (TLT) as rates compress; conversely, if yields rise >50bp on stronger growth, rotate back to cyclicals. Contrarian angles: Consensus assumes oil only down; model scenarios where OPEC cuts or a Russia supply shock push WTI >$85–90/bbl, which would invert these trades and re-rate energy/commodity cycles—keep contingent hedges. The market may underprice regulatory risk to tech/data deals; allocate at most 3% active risk to TikTok/Chinese-adjacent plays and protect with 6–12 month downside puts. Historical parallels (post-2014 supply shocks) show energy capex retrenchment yields multi-year outperformance for large integrated majors over small explorers; favor XOM/CVX over high-beta E&P if volatility persists.