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Copper and Aluminum Drop as AI Selloff Saps Appetite for Risk

Copper and Aluminum Drop as AI Selloff Saps Appetite for Risk
News — Sharafi News

Copper Aluminum Prices Drop as AI Selloff Triggers Risk-Off Rotation

Copper and aluminum prices declined sharply on Thursday as a broad selloff in artificial intelligence equities drained risk appetite across global markets, signaling growing investor skepticism toward the commodity supercycle narrative underpinning global data-center infrastructure build-outs.

Base Metals Market Impact: AI Capex Doubts Hit Copper Aluminum Demand Outlook

The synchronized drop in LME copper and aluminum reflects a rapid repricing of the "AI trade" that had lifted industrial metals since late 2023. Traders had priced aggressive data-center capital expenditure from hyperscalers — Microsoft, Amazon, Google, Meta — into copper-intensive power distribution, busbars, and cabling, while aluminum benefited from cooling-system and structural-frame demand. Thursday's reversal suggests the market is now discounting a slower rollout or lower intensity of GPU cluster deployment.

Three-month LME copper shed 2.1% to $9,450 per metric ton, erasing the week's gains, while aluminum slipped 1.8% to $2,380. The selloff extended to mining equities: Freeport-McMoRan fell 3.4%, Southern Copper dropped 2.9%, and Alcoa declined 2.6%. The transmission channel is clear — equity risk-off reduces financing capacity for capex-heavy miners, while softer AI revenue expectations trim the demand forecast for "green metals" tied to electrification and digital infrastructure.

Historically, sharp tech-led corrections have preceded base-metals drawdowns of 8–12% over the subsequent quarter. In 2022, the Nasdaq 100 bear market coincided with copper falling from $5.00/lb to $3.15/lb as global PMIs contracted. Today's backdrop differs — China's property stimulus and grid investment provide a floor — but the marginal buyer for copper's move above $10,000 was the AI narrative. Remove that bid, and the cost curve ($4.00–$4.50/lb incentive price) reasserts itself.

"The market got ahead of itself pricing infinite AI capex into copper's structural deficit. Hyperscaler spending is real, but the deployment curve is lumpy — not linear. When Nvidia guidance disappoints, the copper thesis gets stress-tested." — Senior Commodity Strategist, Global Investment Bank

The risk-off impulse also strengthened the dollar index (DXY +0.4%), compounding pressure on dollar-denominated metals. A tighter financial conditions impulse — rising real yields, widening credit spreads — raises the hurdle rate for new mine supply, creating a paradox: near-term price weakness may tighten medium-term availability. Investors should monitor LME warehouse stocks and Chinese bonded-zone inventories for signs of physical tightness persisting despite paper selling.

Key Takeaways for Commodity & Equity Investors

  • Monitor hyperscaler capex guidance in upcoming earnings calls — any downward revision to 2025 data-center spend directly hits copper intensity forecasts.
  • Watch LME cancel warrants and Shanghai Futures Exchange inventories; physical tightness would limit downside despite macro headwinds.
  • Expect mining equity volatility to exceed spot-metal moves as financing costs and discount rates reprice simultaneously.
  • Hedge long copper exposure via put spreads or short-dated call overwrites while the AI sentiment overhang persists.

Frequently Asked Questions

Why Did Copper and Aluminum Drop on AI Selloff News?

Copper and aluminum prices fell because the AI-driven equity selloff reduced risk appetite and raised doubts about the pace of data-center capital expenditure, which had been a key pillar of the bullish "green metals" demand narrative for both commodities.

How Does AI Capex Influence Base Metals Demand?

AI infrastructure requires massive copper-intensive power distribution, cabling, and busbars, plus aluminum for cooling systems and rack structures; hyperscaler spending plans directly feed into commodity demand forecasts used by traders and miners to price future supply deficits.

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