Report Analysis: Semiconductor Sector Surges 155%, Bernstein Says NVDA and AVGO Are 'Absurdly Cheap'

marsbitPublicado em 2026-06-24Última atualização em 2026-06-24

Resumo

Title: Bernstein's Semiconductor Quarterly Review: AI is the "Only Game in Town," Highlights "Absurdly Cheap" NVDA and AVGO Bernstein's June 23 semiconductor industry review asserts AI is the sector's dominant driver, fueling record gains. The SOX index rose 155.6% over the past year, primarily driven by a 75% increase in forward EPS, not just valuation expansion. While sector-wide valuations are high, Bernstein identifies a significant valuation gap. Despite leading the AI chip market, Nvidia (NVDA) and Broadcom (AVGO) have lagged in performance this year. Based on their 2027 EPS projections and critical roles in the AI supply chain, Bernstein rates both as "Outperform," calling their current valuations "absurdly cheap." The report notes extreme divergence within the sector, with memory chips up 500% YTD, while GPUs/ASICs gained 115%. Bernstein upgraded AMD to "Outperform" due to its dual opportunity in both AI/GPU and CPU markets. However, it remains cautious on Qualcomm (QCOM), citing smartphone market pressures. Key risks highlighted include historically high sector crowding and elevated inventory levels, which could pressure the supply chain if demand softens. The conclusion stresses selective stock-picking over broad directional bets, given current high valuations.

Author: Rita

Trend Insights

Bernstein published its quarterly semiconductor industry review on June 23. Core view: AI has become the "only game" for the semiconductor sector, with strong fundamentals, but valuations and crowding are at historical highs. The report also recommends NVDA and AVGO (rated "Outperform"), believing that although they have relatively underperformed this year, they are the most core beneficiaries in the AI supply chain, and current valuations are "absurdly cheap". Upgraded AMD, but remains cautious on QCOM due to pressure on its mobile business.

AI Demand Drives Record Gains in Semiconductor Sector

The Philadelphia Semiconductor Index (SOX) has risen 155.6% over the past year and is up 106.6% year-to-date. Over the same period, the S&P 500 rose only 9.2%. The premium of SOX relative to the S&P 500 reached 62%.

This rally is driven by fundamentals, not a bubble. Bernstein's data shows that the forward EPS of SOX has increased by 75% from the beginning of the year, with valuation expansion itself being only a small part.

The divergence within the semiconductor sector has reached an exaggerated level. From the beginning of the year to June 22, memory chips rose 500%, CPUs and optical solutions each rose 220%, while GPUs and ASICs rose only 115%. The entire AI supply chain is making money, but the parts that make money and the degree of profitability are not uniform. The farthest upstream and downstream of the supply chain benefit the most; building new production lines requires memory and semiconductor equipment, where supply is relatively tight. GPUs rose only 115%, despite NVDA holding the vast majority of the AI chip market share.

Actual Purchasing Power Under High Valuations

The forward P/E of SOX is now 34.1x, compared to 21.0x for the S&P 500, a premium of 62%. This sounds expensive, but look at specific companies: NVDA's adjusted EPS expectation for 2026 is $9.19 and $12.52 for 2027. Based on Bernstein's price target of $315, the 2027 P/E is 25x, while the sector's forward P/E is 34x. NVDA is not the most expensive; it's relatively cheap.

Bernstein analyst Stacy Rasgon used the phrase: "absurdly cheap".

His reasoning is straightforward: NVDA's Blackwell chip series is expected to reach a $1 trillion revenue scale by 2027. The situation with AVGO is similar, with a price target of $550, but if it reaches its $100 billion AI-related revenue target by 2030, the current valuation looks very cheap.

This is why Bernstein rates both companies "Outperform". Although they have underperformed this year, they are the most core links in the AI demand chain. For comparison, Apple's forward P/E is about 28x, Microsoft's is about 30x, while NVDA's is 25x. Considering the continuity of Blackwell and Rubin generations, and AVGO's monopoly in switch chips, these valuation discounts appear extremely unreasonable. The market has ignored a core fact: without NVDA and AVGO chips, the entire AI infrastructure cannot operate.

CPU's Dual Story, QCOM's Single Dilemma

AMD was recently upgraded by Bernstein to "Outperform". The reason for the upgrade? Because AMD has opportunities not only in AI/GPUs but also in the proxy AI trend for CPUs. CPU shipments improved quarter-over-quarter in Q1 2026, slightly exceeding PC shipments. Bernstein believes AMD's fundamentals are strong enough to support reaching $20 in EPS by 2028, and the current stock price still has room to rise relative to this target.

QCOM is stuck in a single dilemma. Smartphone shipments fell 3% year-over-year in Q1 2026, and rising memory chip prices mean higher phone costs, which is negative for chipset suppliers' pricing power. Bernstein admits that downgrading QCOM earlier was a "poor decision" but maintains a "Market-Perform" rating. The problem is that the weakness in consumer electronics is a given, and QCOM finds it difficult to find a new growth engine. Even if a new data center story can be told at a future analyst day, compared to AMD's dual drivers and the structural position of chipmakers, QCOM's story lacks conviction.

Realistic Considerations for Sub-sectors

Semiconductor equipment (AMAT, LRCX, KLAC) continues to be favored, with demand for capacity construction remaining strong. All three companies are rated "Outperform", with target price increases ranging from 30% to 70%.

The situation for analog chips (ADI, TXN) is more complex. They are indeed in a recovery cycle, achieving double-digit growth for over a year consecutively, but the data center business share remains small, about 10%. TXN and ADI have P/Es of 30 to 40x, appearing quite expensive. Bernstein gives both a "Market-Perform" rating, choosing to wait and see.

Two Risks: Crowding and Inventory

Bernstein's industry sentiment indicators show that the crowding level of the semiconductor sector is already at a historical high. Days of inventory have risen again, far above the upper limit of the normal historical range; while channel inventory has decreased somewhat, it remains above average levels. What does this mean? It means that if any signs of weakness appear in downstream demand, the entire supply chain will face pressure for active inventory reduction. PCs and consumer segments have already shown weakness, and phones have declined year-over-year. Once inventory pressure spreads to data center procurement, the threat of price wars becomes real. At that point, the pricing power of companies near the bottleneck (NVDA, AVGO) could be severely weakened.

The strength of AI demand is undeniable, but the current high valuations of the semiconductor sector have already priced in this good news. Although NVDA and AVGO are relatively cheap, it's conditional on believing they can achieve the analysts' targets. AMD's story is attractive, but execution risks also exist. QCOM has become a forgotten character with unclear catalysts. Bernstein's stance is selective bullishness; at this point, stock selection is more important than getting the direction right.

Disclaimer

This article is TideResearch's collation and interpretation of a third-party brokerage research report. The ratings, price targets, earnings forecasts, and related judgments cited in the article are the views of Bernstein analysts, representing only the stance of their institution. They do not represent the views of TideResearch and do not constitute any investment advice.

Please note three points when reading: First, price targets are analysts' expectations for approximately the next 12 months; they are forecasts, not promises, and will be adjusted repeatedly with performance and market conditions. Second, sell-side research reports are inherently bullish, and some covered companies may have investment banking relationships with the brokerage. Third, the value of a research report lies in its mainline logic and underlying assumptions, not just a single price target. Focus on the logic, not just the price.

The market carries risks, and decisions must be independent. This article should not be used as a basis for buying or selling any securities.

Data Source: Bernstein Report (Stacy A. Rasgon et al., June 23, 2026) · Public Market Data

TideResearch · 2026 June

Perguntas relacionadas

QAccording to Bernstein's report, why are NVDA and AVGO considered 'absurdly cheap' despite the overall semiconductor sector's high valuation?

ABernstein believes NVDA and AVGO are 'absurdly cheap' because they are the most core beneficiaries of the AI supply chain. NVDA's 2027 P/E based on their $315 target price is 25x, lower than the SOX index's forward P/E of 34.1x. This discount is considered unreasonable given their critical role in AI infrastructure, NVDA's upcoming Blackwell/Rubin product roadmap, and AVGO's dominant position in switching chips.

QWhat is the main driver behind the record performance of the Philadelphia Semiconductor Index (SOX) over the past year?

AThe main driver is strong fundamentals, specifically demand from AI. Bernstein's data shows that the forward EPS of the SOX index has increased by 75% year-to-date, with valuation expansion contributing only a small part. This indicates the rally is driven by actual earnings growth, not a bubble.

QWhat are the two key risks for the semiconductor sector highlighted in Bernstein's report?

AThe two key risks are 1) High crowding, as sector sentiment indicators are at historical highs, and 2) High inventory levels. Inventory days are significantly above the normal historical range, meaning any sign of demand weakness could trigger an inventory correction and potential price wars, especially impacting pricing power.

QWhat is the primary reason Bernstein upgraded AMD to 'Outperform' while maintaining a cautious stance on QCOM?

ABernstein upgraded AMD due to its 'dual story' in both AI/GPUs and the proxy-AI trend in CPUs, with a potential path to $20 EPS by 2028. They remain cautious on QCOM due to its 'single dilemma': weakness in its core smartphone market, where shipments declined, and it lacks a clear new growth engine despite potential data center narratives.

QWhat is Bernstein's view on semiconductor equipment and analog chip stocks as mentioned in the report?

ABernstein is positive on semiconductor equipment stocks (AMAT, LRCX, KLAC), rating them 'Outperform' due to strong capacity build-out demand. They are neutral ('Market-Perform') on analog chip stocks (ADI, TXN), acknowledging their recovery but noting their high P/E multiples (30-40x) and still-small data center business exposure (~10%).

Leituras Relacionadas

a16z: In the AI Era, Company Competition for Talent Starts with Job Title Naming

The article discusses how companies in the AI era are competing for talent through strategic "title arbitrage," or the renaming of key roles to reflect and attract new, high-value capabilities. It uses Palantir's creation of the "Forward-Deployed Engineer" (FDE) as a prime example. This title reframed client-facing technical work from a peripheral "implementation" role into a core, high-status engineering function. The move was strategic, allowing Palantir to attract talent that blended technical skill with business acumen and to dominate the market's perception of this capability. The piece argues that job titles are an organizational language that signals the value and authority of certain work. Effective new titles, like "Data Scientist" or "Site Reliability Engineer," emerge when a role's strategic importance genuinely outgrows its old name. Conversely, mere title inflation without substantive change is ineffective. For AI companies, particularly in B2B, this is a crucial strategy. AI transformation creates new high-leverage roles (e.g., "Legal Engineer," "GTM Engineer") that combine domain expertise with technical automation. By naming these roles, a company can help clients internally legitimize these change-makers. This, in turn, builds market mindshare, associating the company with the new capability. In conclusion, as AI blurs the lines between product and service, the ability to accurately name and organize the critical, client-adjacent work that defines product learning will be a key competitive advantage. The first to define this new organizational language plants a flag in the market's mind.

marsbitHá 7m

a16z: In the AI Era, Company Competition for Talent Starts with Job Title Naming

marsbitHá 7m

Interview with Strategy CEO: Can STRC Recover After Selling Bitcoin?

Interview with Strategy CEO Phong Le on the recent sale of 32 Bitcoin and its impact. He clarifies the move was a small, strategic action to demonstrate liquidity to debt holders, test internal processes, and prove operational discipline—not a response to fears of a "death spiral" from DeFi protocols leveraging STRC (Strategy's preferred stock product), which he notes holds less than 10% of STRC. Le emphasizes Strategy’s long-term focus as the largest corporate Bitcoin holder, using the adage that markets are a "voting machine" short-term but a "weighing machine" long-term. Decision-making is data-driven, involving the board, complex modeling, and multiple stakeholder considerations, moving beyond a founder-centric model. He outlines various capital options but stresses the strategic importance of "doing nothing" as a valid choice, citing resilience built during the 2022 bear market. Le expresses unwavering belief in Bitcoin's foundational value for global sovereignty and its future role in an AI-driven economy with trillions of autonomous agents. Addressing STRC's current price below its $100 face value, Le explains recent pressure was due to using dollar reserves for bond buybacks. He expects STRC to return to par as reserves are replenished and its semi-monthly dividend payments begin, noting the product is heavily over-collateralized. Finally, Le confirms the company sold Bitcoin the week prior to May 31st, as disclosed in an 8-K filing, leaving prediction market interpretations to others. The overarching philosophy remains "Spread Bitcoin with love," embracing all methods of gaining Bitcoin exposure.

marsbitHá 40m

Interview with Strategy CEO: Can STRC Recover After Selling Bitcoin?

marsbitHá 40m

IOSG Founder: Ethereum Doesn't Need Another Leap of Technical Faith, It Needs a Musk-style Compromise

Jocy, founder of IOSG Ventures, argues that Ethereum does not need renewed technological faith but a "Musk-like compromise." The recent formation of ETHLabs—funded by major ETH holders like BitMine and Lubin—highlights a market-driven move to fill a gap left by the Ethereum Foundation (EF), signaling a loss of confidence in its decentralized, hands-off approach. The core critique contrasts Vitalik Buterin's (V) idealistic, technology-first vision with Elon Musk's pragmatic, business-driven execution. The author asserts Ethereum's current shortage is not another technical roadmap but a clear, real-world application narrative and a leader willing to engage directly with commercial realities—like Musk. Internal issues are emphasized, citing EF's management problems and talent drain. While the new decentralized model with independent nodes like ETHLabs addresses the single foundation's limitations, it risks fragmentation without cohesive direction. True cohesion, the author suggests, must come from a shared, compelling narrative around ETH's value, not just from aligned financial interests. Independence claims for new entities are seen as aspirational, needing years of transparency to build trust. The ultimate threat is not competitors like Solana, but the broader shift of attention and talent toward AI. Ethereum has a limited window—12 to 18 months—to recapture focus by delivering tangible, real-world applications. The conclusion urges V to shift from abstract ideals to grounded, pragmatic leadership. The time for this crucial pivot is running out.

marsbitHá 1h

IOSG Founder: Ethereum Doesn't Need Another Leap of Technical Faith, It Needs a Musk-style Compromise

marsbitHá 1h

Trading

Spot
Futuros
活动图片