February 5 Market Summary: AMD Plunge Triggers Chip Stock Crash, Bitcoin Falls Below $73,000

marsbitPublished on 2026-02-05Last updated on 2026-02-05

Abstract

Market Summary, February 5: A disappointing earnings report from AMD triggered a sharp sell-off in chip stocks, while Bitcoin fell below $73,000. AMD’s Q4 revenue and EPS beat expectations, but its Q1 guidance only slightly exceeded forecasts, disappointing investors who expected stronger AI-driven growth. Higher operating expenses also raised profitability concerns. AMD plunged 17%, dragging down the broader semiconductor sector. Broadcom, Micron, Lam Research, and Applied Materials all fell sharply. The iShares tech-software ETF dropped 4%, extending its weekly loss to 17%, as AI automation tools sparked fears about the future of SaaS business models. Bitcoin dropped to its lowest level since November 2024, closely tracking the sell-off in tech stocks. Crypto mining stocks tied to AI infrastructure, like Cipher Mining and IREN, also fell over 10%. In contrast, gold continued its rebound, rising over 2% to break $5,000/oz after Monday’s 6% surge – its biggest gain since 2008. Silver jumped 7% above $85. The rally was supported by bargain-hunting, central bank demand, and a weaker dollar. Key takeaways: Markets are growing concerned about AI’s profitability and soaring capital costs. Upcoming earnings from Google and Amazon, along with US-Iran talks, could dictate near-term direction.

Author: Deep Tide TechFlow

US Stocks: AMD's "Earnings Disaster" Ignites Tech Stock Sell-off

Today's main character is AMD, whose earnings report triggered a tech stock bloodbath.

The report seemed decent on the surface:

  • Q4 revenue of $10.27 billion, exceeding expectations of $9.67 billion
  • Adjusted EPS of $1.53, exceeding expectations of $1.32
  • Q1 guidance: $9.8 billion (±$300 million), also slightly above the expected $9.38 billion

So why was the market furious?

The problem wasn't the numbers, but the expectation gap. Some Wall Street analysts expected AMD to provide more aggressive guidance, given the booming AI hype. When the guidance was "only slightly better than expected" rather than "far exceeding expectations," the market chose to vote with its feet.

More fatally: operating expenses were out of control. AMD's operating expenditures were $200 million higher than guidance, marking several consecutive quarters of overspending.

JPMorgan analyst Harlan Sur was straightforward: "AMD has been 'overspending' consistently, which hurts profitability."

The chain reaction caused AMD to plummet 17%; Broadcom fell 7%; Micron fell 11%; Lam Research fell 10%; Applied Materials fell 9%; Nvidia fell 3%; the Philadelphia Semiconductor Index dropped sharply, and the entire chip sector was slaughtered.

The nightmare for the software sector continues. The iShares Expanded Tech-Software ETF (IGV) fell another 4% today, plunging 17% cumulatively over the week.

The root of the panic stems from Anthropic's release of an AI automation tool last week capable of handling legal work. This made the market suddenly realize: AI isn't just an assistant for software; it might be the terminator of software.

If AI can automatically process legal documents, generate code, and manage customer relationships, can the subscription-based SaaS business models survive?

Not all tech stocks are crashing; there were winners today too:

Eli Lilly surged 8%: Q4 earnings far exceeded expectations; 2026 guidance: revenue of $80-83 billion (expected $77.6 billion), EPS of $33.5-35 (expected $33.23); sales of weight-loss drug Zepbound grew 122%, diabetes drug Mounjaro grew 110%.

Super Micro Computer rose 10%: Q2 earnings beat expectations, raised full-year guidance to $40 billion (expected $36.1 billion); strong demand for AI servers.

Amgen rose 3.67%: Strong earnings boosted the stock, making healthcare one of the few safe havens today.

Uber fell 5%; Chipotle plunged 6%, these figures again confirming: US consumers are tightening their wallets.

Cryptocurrency: Falls Below $74,000, 16-Month Low

This afternoon, Bitcoin briefly fell below $73,000, hitting a new low since November 2024.

Ethereum fell below $2,200.

Why did Bitcoin fall harder than tech stocks?

Bitcoin has an extremely high correlation with the Nasdaq. When AMD triggered the chip stock crash and the Nasdaq fell 1.5%, Bitcoin, as the "king of risk assets," naturally fell more.

Interestingly, mining companies that pivoted to AI infrastructure also crashed today:

Cipher Mining fell over 10%; IREN fell over 10%; Hut 8 fell over 10%.

The reason? AMD's plunge made the market start questioning the return on investment in AI infrastructure. These companies just switched from "mining" to "AI computing power" and encountered fears of an AI bubble burst.

The only bright spot, TeraWulf rose 12%, due to acquiring two US sites, but this was an isolated case.

Hasegawa from Japanese crypto analysis firm Bitbank said: "$70,000 might be a key reference point for a short-term bottom. A substantial break below this level might require a major reset of market conditions."

Precious Metals: Gold Breaks $5,000, Momentum Strong

Gold extended its rebound, breaking through the $5,000 mark

Spot gold settled around $5,010-$5,050/oz, gaining over 2% intraday. This follows yesterday's surge of 6% (the largest single-day gain since 2008).

Silver continued its rally, rising 7%, reclaiming levels above $85.

Why can gold continue to rebound?

Falling from $5,600 last Friday to $4,400 on Monday, gold dropped over 20%. This plunge washed out leverage and created buying opportunities.

Long-term investors and central banks bought the dip. After surging 6% yesterday, it continued rising today, indicating very determined buying.

The US Dollar Index fell today, providing support for gold. The Renminbi rose to a 2.5-year high against the dollar, also reflecting broad dollar weakness.

Gold's long-term target remains unchanged

Mainstream Wall Street institutions remain bullish:

JPMorgan: Year-end target $6,300

  • Deutsche Bank: Year-end target $6,000

Near the current $5,000, there's still over 20% upside potential.

The Market's Deep Logic: Fears of an AI Bubble Burst?

Today's market moves exposed a core problem: The pace of AI commercial monetization is seriously lagging behind the growth in capital expenditure.

AMD's problem isn't that revenue growth is too slow (26% YoY growth is already strong), but that costs are out of control. To stay competitive in the AI race, AMD is burning cash疯狂烧钱, but the market is starting to question: Can this money bring corresponding returns?

If even a core AI chip player like AMD can't control costs, can those downstream AI application companies, software companies, and infrastructure companies actually make money?

Key Events for the Rest of the Week

Thursday - Friday:

  • Alphabet (Google) Earnings
  • Amazon Earnings
  • Initial Jobless Claims (Thursday)
  • US-Iran Talks (Friday)

If Google/Amazon earnings disappoint, tech stocks could crash further.

If US-Iran talks break down, escalating geopolitical risks, gold will rise further.

Related Questions

QWhat were the key factors that led to the sharp decline in AMD's stock price despite beating earnings expectations?

AThe decline was driven by an 'expectation gap' where the market anticipated more aggressive guidance due to the AI boom, and concerns over 'out-of-control operating expenses,' which were $200 million over guidance, hurting profitability.

QHow did AMD's earnings report impact the broader technology and semiconductor sector?

AIt triggered a sector-wide sell-off, with Broadcom falling 7%, Micron down 11%, Lam Research dropping 10%, Applied Materials declining 9%, Nvidia falling 3%, and the Philadelphia Semiconductor Index experiencing a significant downturn.

QWhy did Bitcoin fall below $73,000, and what significance does the $70,000 level hold according to analysts?

ABitcoin fell due to its high correlation with the Nasdaq, which dropped 1.5% amid the tech sell-off. Analysts from Bitbank indicated that $70,000 is a key reference point for a short-term bottom, and a substantial break below it might require a major reset in market conditions.

QWhat were the main drivers behind gold's strong rebound above $5,000 per ounce?

AThe rebound was fueled by a sell-off that cleared leverage, creating buying opportunities, strong demand from long-term investors and central banks, a weakening U.S. dollar, and the renminbi hitting a 2.5-year high, which supported gold prices.

QWhat core market concern did today's market movements reveal regarding the AI industry?

AThe movements exposed concerns that the commercial monetization speed of AI is severely lagging behind the growth in capital expenditures, with even core players like AMD struggling to control costs, raising doubts about the return on investment in AI infrastructure and applications.

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marsbit37m ago

Will the Next Crypto Bull Run Start with On-Chain Trading of SpaceX?

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The Value Distribution of Stablecoins

**Summary: The Value Distribution of Stablecoins** The article argues that stablecoins are evolving from mere trading tools into broader channels for dollar access. It divides the stablecoin ecosystem into four layers to analyze how value is distributed: 1. **Issuance Layer:** Mints stablecoins, holds reserve assets, and captures the spread between reserve yield and user costs (e.g., Tether, Circle). This layer currently earns the largest profit margin. 2. **Infrastructure Layer:** Connects stablecoins to the traditional financial system, handling fiat on/off-ramps, banking integration, compliance (KYC/AML), and asset management (e.g., Bridge, BVNK). This is the "unglamorous" but critical work, building the essential bridges between crypto and real-world finance. 3. **Acquiring/Distribution Layer:** Integrates stablecoins into merchant systems, manages payment flows, and provides enterprise financial software (e.g., Stripe, Coinbase). They act as the access point for businesses. 4. **Application Layer:** The end-users and businesses that ultimately use stablecoins for payments, settlements, or as a store of value. They benefit from convenience but have little pricing power. The core thesis is that while the issuance layer currently dominates profits, the often-overlooked **infrastructure layer holds significant long-term potential**. The real challenge and barrier to mass adoption is not the on-chain transfer of stablecoins (which is simple), but the complex "last mile" integration into existing business workflows, banking systems, and regulatory frameworks across different countries. Companies in this layer are currently in a "land grab" phase, investing heavily to build networks, secure bank partnerships, and establish compliance pathways. While their position is currently pressured by the profitable issuers above and distribution platforms below, the article suggests that if stablecoins become a default financial rail for businesses, the infrastructure providers who have done the hard work of integration will ultimately gain strong pricing power and become entrenched, essential players.

marsbit7h ago

The Value Distribution of Stablecoins

marsbit7h ago

The Value Distribution of Stablecoins

The Value Distribution of Stablecoins The article argues that stablecoins are evolving from a mere trading tool into a broad "dollar channel." It analyzes the industry's value chain through four layers: 1. **Issuance Layer (e.g., Tether, Circle):** The top layer that mints stablecoins, holds reserve assets, and captures the thickest interest rate spread. 2. **Infrastructure Layer (e.g., Bridge, BVNK):** Connects stablecoins to the traditional financial system, handling critical but complex "dirty work" like fiat on/off-ramps, banking integration, compliance (KYC/AML), and cross-border settlement. 3. **Acquiring/Distribution Layer (e.g., Stripe, Coinbase):** Embeds stablecoins into merchant systems, manages payment flows, and integrates with enterprise software. 4. **Application Layer:** End-users and businesses that ultimately use stablecoins for payments, settlement, or storing value. The author posits that while the issuance layer currently captures the most profit, the most overlooked and potentially critical layer is infrastructure. The core challenge for stablecoin adoption isn't the on-chain transfer (which is simple), but bridging the gap between blockchain and the real-world financial system. This involves solving practical problems for businesses: fiat conversion, reconciliation, tax handling, and user onboarding. Infrastructure companies are currently in a difficult "land-grab" phase—building networks, securing banking relationships, and achieving compliance country-by-country. They face pressure from both the profitable issuance layer above and distribution platforms below. However, the author suggests this layer is building a crucial moat. Once stablecoins become a default business rail, the infrastructure players who have done the hard work of integration may gain significant, durable value and pricing power.

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The Value Distribution of Stablecoins

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