- The American semiconductor sector continues its strong momentum, driven by the demand for artificial intelligence infrastructure development. The Philadelphia Semiconductor Index (SOX) rose by 3.71% in one day, with a cumulative increase of over 47% for the year, poised to set a historic record of gains for 18 consecutive trading days.
- Intel (INTC:US) surged by 23.72% in one day, propelled by strong revenue guidance from the central processing unit (CPU), breaking through its historical high from the dot-com bubble era of 2000. This rally also lifted Advanced Micro Devices (AMD:US) and Arm (ARM:US) by 14.12% and 13.98% respectively.
- The market's valuation tolerance for the technology sector is undergoing a structural repair, with the forward price-to-earnings ratio of the S&P 500 Information Technology Index (S5INFT) falling from a peak of about 31.8 times last year to about 22 times. Meanwhile, the capital market's pricing response to the potential threat of DeepSeek’s new generation of low-cost AI models remains muted.
The Demand Shift for Core Computing Components
Global tech giants' capital expenditure in AI is spreading from a singular focus on graphics processing units (GPUs) to a broader computing architecture. As a traditional supplier of computational cores, Intel’s latest business outlook confirms this trend. On the application side of large language models, demand for inference on everyday user queries is expanding exponentially, directly driving high-performance CPU procurement. Unlike last year's market, primarily driven by NVIDIA (NVDA:US), the current demand structure for computing power is more diversified. NVIDIA's slight rise of 1.6% indicates that after a period of substantial valuation expansion, funds are reallocating to other semiconductor blue-chip stocks with potential margin improvements.
Balancing Earnings Expectations and Valuation Reconstruction
The financial fundamentals of the semiconductor sub-sector are providing substantial support for the upward movement in the secondary market. According to calculations by the London Stock Exchange Group (LSEG), the semiconductor sub-sector’s earnings growth rate for the first quarter of this year is expected to reach 109.2% year-on-year, significantly above the anticipated growth level of 48.2% for the S&P 500 Information Technology sector. Edward Jones' senior global investment strategist notes that after 12 months of valuation digestion, overall valuations for tech stocks have largely reverted to the market average. Previously, investors were skeptical about whether massive AI spending could quickly translate into cash flow and profit margin expansion. However, the Philadelphia Semiconductor Index’s price-to-earnings ratio of 26.6 times (based on 12-month forward earnings) shows relative attractiveness at the PEG (Price/Earnings to Growth) level compared to its triple-digit earnings growth expectations.
External Competition Variables and Market Defense Mechanisms
Regarding industry competition variables, global capital markets show greater immunity to disruptions caused by emerging AI startups. Chinese startup DeepSeek had previously induced concerns on Wall Street about the commercial model for computing power with its low-cost models, yet their next-generation model announcements did not present substantial pressure on U.S. chip stocks in this rally. Analysts at Trade Nation note that the market is gradually adjusting its threat assessment of low-cost models, deeming them unlikely to overturn existing hardware barriers in the short term. If future technological iterations of such low-cost models cannot substantially weaken the computing power hardware moat of large tech companies, semiconductor equipment and chip manufacturers’ pricing power will further solidify. Despite Texas Instruments (TXN:US) pulling back 2.8% on Friday, its previous record high based on strong second-quarter revenue guidance further confirms the broad recovery of the semiconductor cycle.
The investment boom in AI hardware infrastructure is propelling the global semiconductor industry into a new cycle of prosperity. The Philadelphia Semiconductor Index (SOX) recorded a 3.71% rise in the latest trading day, continuing a trend of up to 47% for the year and is likely to achieve a rare record of gains for 18 consecutive trading days. Intel (INTC:US)’s 23.72% single-day rise leads the sector, with its stock price successfully crossing the historical high of the frenzied tech stock period of 2000, signaling renewed institutional recognition of the traditional microprocessor giant’s repositioning in the AI era.
Industry Chain Transmission
The technological advancement of AI is causing profound transmission effects throughout the industry chain. In the initial construction phase of computing power clusters, market resources were heavily concentrated in the GPU segment responsible for large-scale data training, which was the core logic for NVIDIA’s (NVDA:US) rapid market cap expansion last year. However, as AI applications transition from underlying training to end-user inference and query scenarios, the system's demands on data scheduling and collaborative processing with central processing units (CPUs) have risen. Intel’s strong business guidance reflects this slight shift in the industry chain's core focus. This demand spillover effect boosts not only Intel but also concurrently drives its major competitors in the X86 architecture field, Advanced Micro Devices (AMD:US), and the mobile computing architecture leader Arm (ARM:US), which recorded significant increases of 14.12% and 13.98%, respectively. In the analog chip domain, Texas Instruments (TXN:US)’s previous historical highs indicate that the peripheral demand for power management and signal chain chips in AI servers is also accelerating.
Competitive Landscape
In the competitive landscape of the global computing power market, the moats of traditional hardware manufacturers are being tested under the pressure of emerging software algorithms. Last year, Chinese startup DeepSeek sparked extensive discussion on Wall Street about the commoditization of computing power and margin compression with its low-cost AI models. However, the strong performance of U.S. chip stocks currently reflects a rethinking in the secondary market when evaluating such competitive threats. Trade Nation's analysis notes that market funds refuse to price the same risk factor repeatedly. Institutional investors are gradually reaching a consensus that no matter how algorithm models are optimized to reduce computing power consumption, the global total data throughput and concurrent computing demand continue to grow exponentially. This overall logic allows hardware manufacturers to maintain high bargaining power and performance certainty in the battle with underlying algorithm companies.
The Long-Term Financial Model of the Hardware Cycle
As stock prices continue to rise, the financial valuation models of the semiconductor industry are undergoing a healthy repair. Previously, due to concerns that the massive AI capital expenditure could not materialize in the short term, the price-to-earnings ratio of the S&P 500 Information Technology Index (S5INFT) faced significant compression pressure, falling from a historical peak of nearly 31.8 times to about 22 times. Observations from Edward Jones strategists show that this valuation regression to the mean provides room for the current rally based on performance improvements. Predictions from the London Stock Exchange Group (LSEG) of a 109.2% first-quarter earnings growth for the semiconductor sector offer solid data support for the current valuation premium. If there are no systemic downturns in macro demand over the coming quarters, the Philadelphia Semiconductor Index’s current forward P/E ratio of about 26.6 times leaves room for the sector to absorb short-term fluctuations safely.
