AI Chipmakers Face Valuation Reset Despite Sold-Out Supply

Global Artificial Intelligence (AI) chipmakers are facing growing stock market pressure despite strong demand, sold-out production capacity and multi-year customer commitments. Investors are increasingly questioning whether the enormous spending on AI infrastructure will generate sufficient returns to justify the financing required to sustain the technology boom.

Companies including NVIDIA, SK Hynix, Broadcom and Taiwan Semiconductor Manufacturing Company (TSMC) remain central to the global AI expansion. However, their shares are facing a valuation reset as concerns about financing conditions, customer spending and the possibility of slower AI demand weigh on investor sentiment.

The latest brokerage research presents a contrasting picture. While market valuations have declined, analysts continue to forecast substantial earnings growth for several semiconductor companies. Some brokers argue that current share prices already reflect expectations of a significant downturn, even as order books and production commitments remain strong.

Why AI Chip Stocks Are Facing Fresh Selling Pressure

AI-related stocks declined again on Tuesday, November 3, as investors questioned whether the rapid expansion of AI infrastructure can deliver returns quickly enough to justify its financing requirements.

South Korean semiconductor companies faced particular pressure, with Samsung Electronics and SK Hynix shares falling by as much as approximately 5% in early Seoul trading.

The market’s concern is not necessarily that demand for AI chips has disappeared. Instead, investors are examining whether technology companies and hyperscalers can continue funding the construction of data centres, purchasing advanced processors and expanding computing infrastructure at the current pace.

These concerns have created a gap between the operating outlook of semiconductor companies and the valuations investors are willing to assign to their shares.

Chipmakers occupy a central position in the AI investment cycle because they provide the processors, memory and manufacturing capacity required to build large-scale computing systems. Their future earnings depend heavily on whether hyperscalers continue investing in AI infrastructure and whether those investments translate into sustainable commercial returns.

NVIDIA Becomes the Key Test of AI Financing Strength

NVIDIA remains one of the most closely watched companies in the AI semiconductor industry. The central concern surrounding the company is not simply its ability to generate revenue, but whether its customers can continue financing the enormous infrastructure investments required to purchase its products.

Barclays estimates that NVIDIA has approximately $250 billion in off-balance-sheet customer commitments across its ecosystem. According to the brokerage’s calculations, projected cash and free cash flow could cover these commitments 1.65 times by April 2027. After accounting for share buybacks and dividend payments, the coverage ratio falls to approximately 1.25 times.

This calculation forms an important part of the bullish investment argument. It suggests that NVIDIA’s cash-generating capacity could provide financial support to the broader AI ecosystem even if financing conditions become more restrictive.

However, the figures also highlight why investors are paying close attention to the financial health of companies investing heavily in AI infrastructure. If customers encounter difficulties funding data-centre expansion, demand for advanced processors could eventually face pressure.

NVIDIA Earnings Expectations and November 17 Results

Analyst consensus estimates place NVIDIA’s fiscal 2027 earnings per share (EPS) at approximately $9.30, rising to around $15.80 in fiscal 2028.

Bloomberg data cited in the research shows an average analyst price target of approximately $325, implying nearly 60% potential upside from the reference share price. Around 96% of analysts covering the stock have a Buy rating.

The next major event for investors will be NVIDIA’s fiscal third-quarter results, scheduled for November 17. Analysts surveyed by FactSet expect earnings per share of approximately $2.47 on revenue of around $109 billion.

Investors will pay particular attention to management’s comments about data-centre demand, customer concentration and the sustainability of hyperscaler orders. Any indication that customers are slowing infrastructure spending could influence expectations for the wider semiconductor industry.

SK Hynix Faces a Sharp Valuation Reset Despite Sold-Out Memory Supply

SK Hynix has experienced one of the most significant valuation adjustments among major AI semiconductor companies. According to the brokerage research, the stock is trading at approximately three times projected 2027 earnings, a valuation that several analysts describe as comparable to crisis-era levels.

This relatively low earnings multiple contrasts with the company’s reported supply commitments and expectations for high-bandwidth memory (HBM), which is essential for advanced AI computing systems.

J.P. Morgan maintains an Overweight rating on SK Hynix with a target price of 2.75 million Korean won, based on seven times its average fiscal 2026-27 earnings estimate. UBS has a more constructive outlook, setting a target of 3 million won after increasing its operating-profit forecasts for 2027 and 2028.

Long-Term Agreements Strengthen SK Hynix’s Demand Visibility

One of the main reasons analysts remain constructive is the company’s long-term supply agreements. SK Hynix has signed agreements with 14 major customers, including leading cloud-service providers.

These contracts already cover more than half of the company’s total production capacity for 2027 and 2028. Management has also indicated that DRAM and HBM supply is effectively sold out through 2029.

Customer requests for HBM reportedly exceed available supply by more than two times. The company expects memory shortages to continue through 2030, suggesting that demand could remain stronger than production capacity for several years.

This supply-demand imbalance is particularly important because HBM plays a critical role in advanced AI accelerators. As AI models become more demanding, the need for high-performance memory alongside powerful processors has increased.

SK Hynix Expands Capacity for HBM4 Production

To address growing demand, SK Hynix plans to bring its M15X facility in Cheongju to maximum capacity by the end of the year. The expansion is intended to support production of its next-generation HBM4 memory technology.

HBM4 is expected to overtake HBM3E in both shipment volume and revenue during the fourth quarter, according to the supplied research.

The investment case for SK Hynix therefore rests on a combination of strong customer commitments, limited supply and increasing demand for advanced memory products. Analysts arguing that the stock is undervalued believe its current earnings multiple does not fully reflect these business conditions.

However, investors must also consider the possibility that semiconductor demand and pricing conditions could change over time. Strong current orders do not automatically guarantee that elevated profitability will continue indefinitely.

Broadcom’s AI Semiconductor Growth Story Remains Intact

Broadcom remains another major beneficiary of the expansion in AI infrastructure, particularly through its custom semiconductor business. Its products help hyperscalers develop specialised chips designed for their own computing requirements.

Brokerage research continues to project substantial growth in Broadcom’s AI semiconductor revenue. The investment case assumes that AI semiconductor revenue could approximately double again in fiscal 2027 and then double again in fiscal 2028.

Consensus earnings-per-share estimates for the next financial year are in the high teens to low twenties. Bloomberg data shows that approximately 95% of analysts covering Broadcom have Buy ratings, with an average price target near $529, representing roughly 60% upside against the reference share price.

Custom AI Chips Drive Broadcom’s Growth Outlook

The growing use of custom AI silicon is an important part of Broadcom’s business outlook. Large technology companies are increasingly exploring specialised processors that can be tailored to their own workloads and infrastructure requirements.

This creates opportunities for semiconductor suppliers that can design and manufacture chips according to the requirements of major cloud companies.

However, Broadcom’s growth prospects also depend on how hyperscalers allocate their future AI budgets. If technology companies increase investment in internally developed chips, demand for custom silicon could remain strong, but competition and customer spending priorities will become increasingly important.

For investors, the main question is whether Broadcom can maintain its projected growth rates as the AI semiconductor market becomes more competitive.

TSMC Remains the Manufacturing Backbone of AI Infrastructure

Taiwan Semiconductor Manufacturing Company plays a different but equally important role in the AI semiconductor ecosystem. Rather than focusing primarily on chip design, TSMC provides the advanced manufacturing capacity required by leading semiconductor companies.

The company is a critical supplier for the production of advanced processors and other components used in AI computing systems. Its advanced manufacturing processes and packaging capabilities make it an important part of the global AI infrastructure supply chain.

Deutsche Bank has increased its forecasts for TSMC’s capital expenditure to $84 billion in 2027 and $100 billion in 2028. The revised projections followed management’s comments indicating that the company intended to capture available AI-related business opportunities.

Advanced Manufacturing Capacity Supports TSMC’s Outlook

Street estimates for TSMC’s 2027 earnings per share are concentrated around NT$145-150. Bloomberg’s average price target for its American depositary receipts (ADRs) is approximately $576.

Brokerage analysts continue to view demand for advanced manufacturing nodes and advanced packaging as structurally stronger than available supply.

This capacity constraint supports the company’s long-term growth outlook because semiconductor designers depend on access to advanced production facilities to manufacture increasingly sophisticated chips.

TSMC’s reported analyst ratings also reflect this confidence, with approximately 97% of analysts assigning the stock a Buy rating, according to the supplied research.

Nevertheless, the company’s aggressive capital expenditure plans raise another important investment question: whether the returns generated by future manufacturing capacity will justify the scale of investment.

AI Chipmakers Face a Growing Gap Between Earnings and Valuations

The latest developments highlight a central contradiction in the AI semiconductor market. Companies continue to report strong demand, long-term customer commitments and expectations of substantial earnings growth, while investors are becoming more cautious about their share valuations.

This disconnect is particularly visible in SK Hynix, where a low forward earnings multiple contrasts with supply commitments extending across several years. NVIDIA faces questions about the ability of customers to finance infrastructure spending, while Broadcom’s growth depends on sustained demand for custom AI processors. TSMC, meanwhile, must ensure that its expanding manufacturing capacity generates adequate returns.

These companies operate in different parts of the AI supply chain, but their financial outlooks are connected. Hyperscaler investment supports demand for processors, memory and advanced manufacturing. If spending slows, the effects could spread across multiple semiconductor businesses.

What Investors Should Watch Next

Investors assessing the AI semiconductor sector will need to look beyond current order books and headline growth forecasts. Several developments could influence whether today’s valuations represent an opportunity or reflect concerns about the sustainability of the AI investment cycle.

• Hyperscaler financing: The ability of major technology companies to fund AI infrastructure expansion will remain important for chip demand.
• Customer commitments: Long-term supply agreements provide visibility, but investors will need to monitor whether customers maintain their spending plans.
• HBM demand: SK Hynix’s production expansion and the transition from HBM3E to HBM4 will be important indicators of memory demand.
• Custom chip adoption: Broadcom’s growth outlook depends on continued investment in specialised AI processors by major technology companies.
• Manufacturing returns: TSMC’s planned capital expenditure increases make capacity utilisation and investment returns important factors to monitor.
• NVIDIA’s results: Its November 17 earnings report and management commentary could provide fresh information about AI infrastructure demand.

Can Strong AI Demand Protect Chipmakers From a Valuation Reset?

The semiconductor industry remains central to the global expansion of artificial intelligence, but strong demand alone may not protect chipmakers from market volatility. Investors are increasingly examining how AI infrastructure is financed, how quickly customers can generate returns and whether current earnings expectations can be sustained.

NVIDIA, SK Hynix, Broadcom and TSMC each have different strengths and risks across the AI supply chain. Their order books, manufacturing capacity and earnings forecasts provide reasons for continued investor attention, while financing concerns and high capital requirements explain the market’s growing caution.

The next phase of the AI investment cycle will therefore depend on more than chip demand. The ability of technology companies to convert infrastructure spending into sustainable revenue, alongside the semiconductor industry’s capacity to deliver profitable growth, will help determine whether the current valuation reset proves temporary or signals a longer period of reassessment.