From AI to copper: BofA preditcts the 10 trends driving 2026 markets

BofA raised its 2026 U.S. GDP forecast to 2.4% y/y, citing fiscal stimulus, restored tax benefits and expected Fed rate cuts, and upgraded China growth after policy stimulus and improved trade relations. The bank expects 14% S&P 500 earnings growth but only 4–5% price appreciation, favors long Treasuries early in 2026 with the 10-year ending around 4–4.25%, and flags material shifts including broader capex, lower private credit returns (projected 5.4% in 2026 vs. 9% in 2025), and tight copper markets supporting higher prices. BofA cautions that AI investment will drive growth and capex but is not yet a bubble, while raising volatility and supply-side risks (e.g., power constraints) that could test markets.

Analysis

Market structure: The 2026 setup favors cash-generative large-cap AI leaders (NVDA, MSFT, GOOGL) and commodity-linked beneficiaries (copper miners FCX, SCCO) as capex broadens beyond hyperscalers; unprofitable AI startups, late-cycle private-credit portfolios and rate-sensitive housing REITs are direct losers. Copper’s supply tightness plus rising electrification capex implies a multi-quarter deficit, supporting miner margins and upstream equipment vendors while pressuring input-heavy manufacturers.

Risk assessment: Key tail risks are an AI regulatory shock (EU/US rules within 3–9 months), a disorderly China slowdown reversing stimulus, or a power-grid bottleneck that derails AI monetization — each could trigger >20% swings in tech/copper. Short-term (days–weeks) expect event-driven volatility around Fed guidance and AI earnings; medium-term (3–9 months) watch capex orders and China data; long-term (>12 months) depends on realized AI productivity and energy investment.

Trade implications: Cross-asset: disinflation expectations make long-duration Treasuries (TLT/IEF) attractive in H1 2026 if 10y yields retrace toward 4.0–4.25% (implying 25–75bp fall); a weaker USD/low rates backdrop favors EM equities (EEM) and copper ETFs (CPER) or miners. Options/volatility: prefer defined-risk call spreads on large-cap AI (6–9 month) and put spreads on small-cap tech/innovation ETFs to hedge speculative froth.

Contrarian angles: Consensus underestimates grid and mining lead times — copper upside may be larger and more persistent than priced; conversely, the “not-a-bubble” view understates concentrated retail/speculation risk in unprofitable names, making targeted shorts/hedges high expected-value. Historical parallel: 2000-style breadth in multiples without extreme retail mania can still see 30–40% corrections in weaker cohorts; size positions accordingly.

Key Decisions for Investors

• Establish 2–3% long position in NVIDIA (NVDA) and 1–2% in Microsoft (MSFT) to capture durable AI monetization among profitable leaders; use 6–9 month call spreads (buy 1 ITM, sell 1 OTM) to cap cost and limit downside.
• Allocate 1.5–2.5% to copper exposure: equal-weight FCX and SCCO (miners) plus 0.5% in CPER (copper futures ETF) as a 6–12 month play; trim if LME copper falls >15% from entry or miners report >10% production beat/miss divergence.
• Initiate a tactical 2–3% long position in TLT/IEF during H1 2026 targeting a 10y yield move to 4.0–4.25% (price upside if yields fall 25–75bps). Set stop if 10y yield rises above 5.0% or CPI surprises remain >0.3% monthly.
• Hedge speculative AI/small-cap tech risk: buy 3-month put spreads on ARK Innovation ETF (ARKK) sized 0.5–1% of portfolio or buy puts on IWM to protect against a 20–40% drawdown in high-beta cohorts; increase hedge if AI earnings revisions turn negative for two consecutive quarters.