Why I'm Waiting Several Months to Buy My No. 1 Income Stock

Artificial intelligence-driven efficiency gains are lifting U.S. oil production despite a steep drop in rig counts (from 750 rigs in Dec 2022 to 517 in Oct 2025), with U.S. output reaching a record 13.84 million barrels per day by September 2025 (up 407,000 bpd from January) while WTI has fallen roughly 10% over the past three months. Major producers cite material AI savings (Aramco: $4bn in 2024; Devon: 25% longer productive lifecycles), creating a potential supply shock that could drive prices lower in 2026; Canadian Natural Resources, with $21/boe operating costs and $4.3bn liquidity, is expected to face near-term share weakness but be positioned to acquire assets on the downturn.

Analysis

Market structure: AI-driven productivity is a structural supply-side shift — US onshore producers (high automation adopters like DVN, XOM) gain unit-cost advantages while marginal high‑cost barrels (oil sands, deepwater) face price pressure. Expect mean reversion in pricing power: OPEC influence is diminished and U.S. output elasticity is higher, implying a lower floor for WTI absent coordinated cuts (threshold: sustained WTI < $60 for 30+ days will materially compress margins for higher-cost producers).

Risk assessment: Tail risks are asymmetric — a sudden OPEC+ cut or a rapid end to Russia sanctions could flip prices higher within weeks; conversely, continued AI gains can deepen a supply glut into 2026 causing 20–40% price declines. Time horizons matter: immediate (days) driven by geopolitics, short-term (3–6 months) by rig flows and inventory data, long-term (3–24 months) by capex cycles and permanent tech-led productivity gains.

Trade implications: Favor execution that expresses dispersion: long lower-cost integrated producers post-drawdown and long AI beneficiaries (software/infra) while short high-cost, levered shale and Canadian oil sands. Use options to cap downside (6‑month put spreads) and set buy triggers — e.g., accumulate CNQ after a 20–30% drop or if WTI trades < $55 for 30 days; rotate into DVN/XOM on relative strength over 3–12 months.

Contrarian angles: Consensus underestimates speed and durability of AI gains but may overestimate depth of a multi-year price collapse — supply-side improvements could be partly cyclical as service constraints and ESG caps limit perpetual output growth. Historical parallel: 2014–15 showed deep but relatively short-lived troughs; plan size for mean-reversion squeezes and potential snapbacks from coordinated cuts or sanctions relief.

Key Decisions for Investors

• Establish a tactical short-biased hedge: allocate 1–2% NAV to a 3–6 month CNQ put spread (buy 20% OTM, sell 35% OTM) sized to profit from a 20–30% near-term pullback; roll or convert to long position if CNQ falls 25%+ or dividend yield exceeds 5.5%.
• Initiate a dollar-neutral pair: long DVN (2–3% NAV) vs short CNQ (2–3% NAV) for 3–12 months to express US AI-enabled outperformance; set stop-losses at 15% on either leg and rebalance if WTI moves outside $55–$80 band for 30 days.
• Use macro FX trade: establish 1% NAV long USD/CAD (spot or 6‑month forwards) if 30-day WTI average falls below $65, target a 3–6% move in USD/CAD and tighten position if oil stabilizes above $75 for 60 days.
• Prepare entry orders to accumulate CNQ and integrated majors: place limit buy orders to add 1–3% NAV at staggered 10% increments if CNQ drops 10%, 20%, 30% from current levels; convert 50% of short protection to long positions after a confirmed 30-day WTI close below $60.