Semiconductors up 78% annually, software down 12% annually: The 'Liquidity Siphon' is playing out within tech stocks

marsbitОпубликовано 2026-05-26Обновлено 2026-05-26

Введение

Semiconductor ETFs like SOXX have surged 78.5% year-to-date, while software ETFs like IGV have dropped 12.5%, creating a record performance gap exceeding 90 percentage points. This reflects a major "liquidity suction" within tech stocks, with capital flooding into semiconductors as software faces selling pressure. Driving the semiconductor boom are staggering capital expenditure plans from hyperscalers like Microsoft, Alphabet, Amazon, and Meta, whose combined 2026 capex is projected near $700 billion. This fuels demand for chips, with companies like SanDisk (up 426%), Intel (up 222%), and Micron (up 154%) leading the S&P 500. In contrast, major software firms like Microsoft, Adobe, and Salesforce are all down over 17% year-to-date. The software sector faces a dual challenge: capital is being redirected to semiconductors, and the rise of AI agents like Claude Code threatens traditional SaaS business models, triggering a narrative of AI displacement. Key unanswered questions remain: How long can hyperscalers sustain their massive capex, given potential free cash flow pressures? And will capital eventually rotate back into the deeply oversold software sector? While some analysts warn of a potential semiconductor bubble akin to the dot-com era, the sector's powerful momentum continues, making market timing exceptionally difficult.

Author: Claude, Deep Tide TechFlow

Deep Tide Introduction: The Semiconductor ETF (SOXX) has surged 78.5% year-to-date, while the Software ETF (IGV) has fallen 12.5% over the same period, creating a performance gap of over 90 percentage points, a historically extreme level.

SanDisk leads the S&P 500 with a 426% annual gain, Intel has tripled, Micron is up 154%, while Microsoft, Adobe, and Salesforce have all dropped more than 17% year-to-date. The four hyperscale compute companies' combined capital expenditures for 2026 are nearing $700 billion. Capital is pouring into the chip supply chain like a black hole, while the software sector faces a double squeeze from AI displacement narratives and fund outflows.

Recently, a hot post on the Reddit investment forum overseas stated that semiconductor stocks are "basically a black hole sucking everything else in," which resonated widely.

Data confirms this intuition. As of the May 22nd close, the iShares Semiconductor ETF (SOXX) has returned 78.5% year-to-date, while the iShares Expanded Tech-Software ETF (IGV) has returned -12.5%. Two ETFs belonging to the same broad technology category show a year-to-date performance gap exceeding 90 percentage points.

According to Tickeron statistics, all software stocks in the S&P 500 are currently trading below their 200-day moving averages, while about 89% of semiconductor stocks remain above their 200-day moving averages. Both sectors fell in sync to the zero line during the 2022 bear market, after which their trajectories completely diverged. This split was not gradual but explosive.

SanDisk up 426% leads S&P 500, Intel's triple gain crushes AMD

The numbers are even more dramatic at the individual stock level.

According to Benzinga Pro data, SanDisk (SNDK) has risen about 426% year-to-date, making it the best-performing stock in the S&P 500 in 2026, following a 559% surge in 2025. This storage chip company, spun off from Western Digital, has seen NAND flash prices rise over 200% year-over-year driven by AI, with March quarter revenue growing 250% to $5.95 billion and non-GAAP gross margins reaching a high 78.4%.

According to 24/7 Wall Street, Intel (INTC) has risen about 222% year-to-date to $225, doubling AMD's gain. Intel's rebound comes from an extremely low base, coupled with progress on its 18A process node, rumors of Apple foundry orders, and yield improvement data disclosed by CEO Patrick Gelsinger in a CNBC interview. Short sellers have been severely squeezed; according to S3 Partners data, since the March 30th low point, Intel's market cap has increased over $440 billion, resulting in paper losses exceeding $12 billion for short sellers.

Micron (MU) has risen about 154% year-to-date, with a cumulative gain of 661% over the past 12 months. Earnings support this move; for the fiscal 2026 second quarter, revenue was $23.9 billion, up 196% year-over-year, with adjusted earnings per share of $12.20, far exceeding market expectations of $9.21. DRAM accounted for 79% of total revenue, with High Bandwidth Memory (HBM) being a key driver. SK Hynix Chairman Chey Tae-won even predicted that the memory chip shortage could last until 2030.

In contrast, NVIDIA (NVDA), the true "money printer" of AI compute, has risen about 8% to $15 year-to-date, performing far worse than the aforementioned second-tier semiconductor companies. According to The Motley Fool, NVIDIA's current forward P/E ratio is about 21.5x, almost on par with the S&P 500's 20.3x. This means the market is no longer paying a growth premium for NVIDIA; capital is instead flowing towards chip companies with lower valuations and greater potential upside.

$700 Billion in Capex: The Hyperscale Compute Companies' 'Arms Race'

Behind the semiconductor surge is real money.

According to data compiled by the Financial Times and multiple institutions, the combined capital expenditures for 2026 by the four hyperscale compute companies—Microsoft, Alphabet (Google's parent), Amazon, and Meta—are projected to be between $650 billion and $725 billion, nearly doubling from about $410 billion in 2025. This represents the largest concentrated infrastructure investment cycle in tech history.

According to Tom's Hardware, Jefferies analyst Brent Thill stated bluntly: "The AI economy is healthy. The bear thesis is garbage."

Specifically: Amazon leads with a single-quarter capex of $44.2 billion, with AWS growing 28%; Alphabet's Q1 capex was $35.67 billion, doubling year-over-year, with Google Cloud backlog jumping above $460 billion; Microsoft's calendar 2026 capex is projected at $190 billion, with about $25 billion attributed to price increases in memory chips and components; Meta raised its full-year capex guidance to $125-$145 billion.

According to statistics from Om Malik's blog, three of the hyperscale compute companies recorded significant non-cash investment gains in their Q1 earnings: Alphabet recorded $36.8 billion (primarily from Anthropic equity appreciation), Amazon recorded $16.8 billion, and Microsoft recorded $5.9 billion (from OpenAI). While capital expenditures are burning cash fiercely, the AI investment targets themselves are also appreciating.

Software Stocks Slaughtered by AI Displacement Narrative, IGV Posts Worst Drop Since 2008

The other side of the coin is the brutal collapse of software stocks.

According to The Motley Fool, after Anthropic released Claude Code in early 2026, the software sector experienced a sharp decline—the market's logic was not to reward AI innovation but to punish those SaaS companies potentially displaced by AI. IGV recorded its largest drop since 2008 at one point.

As of late May, Microsoft is down about 17% year-to-date, Adobe down about 32%, Salesforce down about 31%, and Shopify down about 26%. The S&P 500 Software & Services Index is about 21% below its 200-day moving average, the largest such deviation since June 2022. According to Goldman Sachs and other institutional data, short positions in mid-to-large software companies have surged sharply over the past three months, with cybersecurity and SaaS companies being the most heavily targeted areas for shorts.

Two layers of logic underlie this divergence. The first is direct capital siphoning: market liquidity is finite. When $700 billion in capex pushes chip stocks into parabolic moves, capital must be withdrawn from somewhere. As the author of that Reddit post said: "Fundamentally decent software companies just sit there or bleed slowly, while the semiconductor index goes vertical."

The second is a revaluation of the narrative. The rapid evolution of AI agents is prompting the market to re-evaluate the moats of SaaS business models: when AI can automate programming, form-filling, and customer service, how long can subscription models based on per-seat fees last? The Motley Fool points out that software companies likely to survive will need features like real data, proprietary workflows, and deep customer integration that are difficult for AI to replicate.

Cycle Peak or Structural Shift? Two Key Questions Remain Unanswered

That Reddit user ended the post with two questions, representing investors' ultimate doubts about whether the semiconductor rally can persist.

However, these two questions remain unanswered.

First: How long can the hyperscale compute companies' capital expenditures be sustained?

According to CNBC, Pivotal Research projects Alphabet's 2026 free cash flow will plunge nearly 90% from $73.3 billion in 2025 to $8.2 billion. Of Microsoft's $190 billion annual capex, $25 billion is consumed just by price increases in memory chips and components. These companies are betting future profits on AI revenue that has not yet fully materialized.

Second: Is software the next rotation target?

According to Bank of America's Chief Investment Officer Hartnett's previous judgment in the Flow Show report, software is one of the best contrarian long positions for Q2 2026, given the extreme deviation of the sector relative to its 50-day and 200-day moving averages.

However, this does not mean the semiconductor rally is over. The Philadelphia Semiconductor Index (SOX) recorded a historic streak of 18 consecutive daily gains on April 25th, rising about 45% during that period. According to Intellectia analysis, some veteran analysts are beginning to compare the current move to the 1999-2000 internet bubble, warning of a potential 25% to 30% correction. But SOX has been up in 22 of the past 23 trading days, setting 15 intraday record highs; this momentum is itself a signal.

As that Reddit user said: "I don't want to call a top because I've been slapped in the face too many times before. But the extreme concentration of gains in a single sector is starting to smell like the late stages of a cycle."

Связанные с этим вопросы

QWhat is the central theme of the article regarding the performance of tech stocks in 2026?

AThe central theme is a 'liquidity siphon' or 'black hole' effect within tech stocks, where capital is being aggressively pulled from software stocks and funneled into the semiconductor sector, creating a historic performance gap.

QWhich two ETFs are highlighted to demonstrate the extreme divergence between the semiconductor and software sectors?

AThe iShares Semiconductor ETF (SOXX) and the iShares Expanded Tech-Software ETF (IGV) are highlighted. SOXX was up 78.5% year-to-date, while IGV was down 12.5%, a gap exceeding 90 percentage points.

QWhat is driving the massive capital expenditure from the 'hyperscale' companies, and what is the estimated total for 2026?

AThe massive capital expenditure is driven by the AI infrastructure 'arms race'. The combined capex of Microsoft, Alphabet (Google), Amazon, and Meta is estimated to be between $650 billion and $725 billion for 2026, nearly double the 2025 figure.

QWhat are the two main reasons given for the severe underperformance of software stocks?

AThe two main reasons are: 1) Direct liquidity siphoning, where funds flow from software into the surging semiconductor sector. 2) A valuation narrative shift, where AI's capabilities (like automated coding) threaten the traditional SaaS subscription business model, raising questions about its long-term viability.

QWhat two critical unresolved questions about the market trend does the article present at the end?

AThe two unresolved questions are: 1) How long can the hyperscale companies sustain their enormous capital expenditures? 2) Is software poised to become the next sector for a rotational rally, or is the semiconductor momentum still strong?

Похожее

The Age of Decoupling Has Arrived: Bitcoin is No Longer the Sole Compass of Crypto

The era of the cryptocurrency market moving in lockstep with Bitcoin is ending, as the industry splits into two distinct asset categories: endogenous and exogenous. Endogenous assets, like Bitcoin, derive value purely from the crypto market's cycles. Their narratives swing between being "interstellar money" in bull markets and "digital collectibles" in bear markets. Exogenous assets, however, are nominally crypto but operate with independent value drivers. Examples include: * **Venice:** An AI inference service using tokens for payments; its consumer-AI business model is decoupled from crypto price swings. * **Figure:** A fintech lender using blockchain to speed up loan approvals; its core value is in credit, not crypto. * **Stablecoin firms like BVNK:** Acquired by traditional finance giants (Mastercard, Stripe), their growth is tied to payment infrastructure, not market cycles. Hybrid projects like **Hyperliquid** (a decentralized exchange) show a shift, with a growing share of non-crypto trading (e.g., prediction markets). This divergence is fundamental. Endogenous assets remain highly correlated to Bitcoin, similar to gold miners to gold. Exogenous assets are evolving to have their own fundamentals, like the weak correlation between gold and the S&P 500. This changes investment analysis. Evaluating exogenous assets requires traditional fundamental research—assessing user bases, unit economics, and moats—more akin to fintech investing than charting Bitcoin. Promising exogenous sectors include: on-chain exchanges/brokers, AI-crypto fusion, privacy-focused digital banks, lending (institutional/private credit), stablecoins/real-world asset tokenization, payment rails, and non-financial crypto-consumer products. Currently, investing via equity is often safer than via tokens, as token value accrual mechanisms need further regulatory and industry development (e.g., the CLARITY Act). Nonetheless, the core trend is clear: crypto market drivers are diversifying from a single factor (Bitcoin) to multiple fundamentals, ending the era of uniform market moves.

marsbit4 мин. назад

The Age of Decoupling Has Arrived: Bitcoin is No Longer the Sole Compass of Crypto

marsbit4 мин. назад

Five Cryptos That Could Outperform Bitcoin Over the Next Cycle Due To Higher Growth Velocity

Bitcoin's growth often sets market trends, but analysts believe the next cycle's highest percentage gains may come from assets with greater growth velocity. While Bitcoin provides stability, several cryptocurrencies are positioned for stronger relative upside. This article highlights five such assets, with a particular focus on Ozak AI as the potential high-growth standout of the cycle. Ethereum (ETH) is noted for its ongoing evolution and institutional adoption. Solana (SOL) is recognized for its high throughput and history of sharp rallies. Chainlink (LINK) is highlighted as essential infrastructure for DeFi and AI applications. Avalanche (AVAX) is mentioned for its subnet architecture and enterprise potential. Ozak AI ($OZ) is presented as a distinct early-stage opportunity, currently in presale at $0.014 with a target listing price of $1.00. The project is building a full AI-native blockchain ecosystem, including prediction agents, a data stream network, and structured data vaults. Analysts suggest its early valuation stage and focus on AI infrastructure could allow for exponential growth velocity compared to more mature assets like Bitcoin, which requires massive capital inflows for significant price movement. The final takeaway positions Ozak AI as a high-asymmetry bet for investors seeking exponential upside alongside more stable assets.

TheNewsCrypto43 мин. назад

Five Cryptos That Could Outperform Bitcoin Over the Next Cycle Due To Higher Growth Velocity

TheNewsCrypto43 мин. назад

What's New in Jensen Huang's 'Agent Factory'?

In a keynote at COMPUTEX 2026, NVIDIA CEO Jensen Huang shifted the company's focus from hardware "full-stack" solutions to the era of AI Agents. The centerpiece is the Vera Rubin platform, now in production, which is designed specifically for Agent workloads and offers 10x the efficiency of its predecessor. The platform features the new Vera CPU, built for AI, and incorporates Spectrum-X Ethernet Photonics with CPO technology for improved networking and energy efficiency. NVIDIA introduced DSX, an integrated toolkit for designing, simulating, and operating AI data centers, aiming to streamline "AI factory" deployment and management. For end-user deployment, the company unveiled DGX Station for Windows, a desktop AI supercomputer for running Agents locally, and the RTX Spark SoC for AI PCs. On the software front, NVIDIA launched the 550B-parameter Nemotron 3 Ultra model for enterprise Agents and the Cosmos 3 foundation model for physical AI, unifying visual reasoning and action prediction. In robotics, a partnership with Unitree yielded the H2 Plus, a reference humanoid robot built on the Isaac GR00T platform to lower development barriers. Security was emphasized with enhanced confidential computing for Vera Rubin and new data path security features for the BlueField-4 STX storage platform. The presentation highlighted a strategic pivot: NVIDIA is reorganizing its entire technology stack—from chips and data centers to models, software, and robots—around the emerging ecosystem of autonomous, practical AI Agents.

marsbit1 ч. назад

What's New in Jensen Huang's 'Agent Factory'?

marsbit1 ч. назад

Торговля

Спот
Фьючерсы
活动图片