Wedbush Issues Bold Call on Beaten-Down Nvidia and Microsoft Stocks
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Wedbush Issues Bold Call on Beaten-Down Nvidia and Microsoft Stocks Nauman Khan Fri, June 26, 2026 at 1:19 PM EDT 1 min read MSFT GOOGL AAPL META NVDA This article first appeared on GuruFocus . Microsoft (MSFT), Nvidia (NVDA), Meta Platforms (META), and other major technology stocks have come under pressure in recent weeks as investors weigh the costs of massive artificial intelligence investments, though Wedbush Securities said the pullback may create opportunities for long-term investors. Wedbush described the current environment as a temporary disconnect between rising AI spending and the future revenue expected from those investments. The firm said large technology companies are in a phase where data-center construction and computing expansion are accelerating, while investors wait for broader monetization to emerge. Warning! GuruFocus has detected 4 Warning Signs with PLTR. Is GOOG fairly valued? Test your thesis with our free DCF calculator. Microsoft and Meta were highlighted among companies facing scrutiny over elevated capital expenditures tied to AI initiatives. Wedbush said concerns about growing compute and memory costs have contributed to recent weakness across the sector. The brokerage also pointed to Alphabet ( NASDAQ:GOOG ) and Apple ( NASDAQ:AAPL ) as examples of companies facing investor questions despite their central roles in the AI ecosystem. Apple's recent hardware price increases added to market concerns about rising infrastructure and component expenses. Despite near-term uncertainty, Wedbush said AI-related spending is expected to support future growth as enterprise adoption, consumer applications, and physical AI deployments expand over the coming years. The firm maintained that recent volatility could provide attractive entry points into leading technology names.
AI 시장 분석
Wedbush attributes the recent weakness in major tech names such as Microsoft, Nvidia, and Meta to large AI-related investments and the resulting short-term delay in monetization. As data center construction and compute expansion accelerate, investors have not yet seen clear revenue conversion, heightening concerns. In particular, rising compute and memory costs and Apple’s hardware price increases are acting as near-term headwinds. However, Wedbush expects AI spending to support medium- to long-term growth through enterprise adoption and the spread of consumer and physical AI, and believes the resulting volatility could present buying opportunities.
상승 영향
- Semiconductors — Large-scale AI compute demand is driving sustained growth in demand for GPUs and high-performance compute, supporting revenue and margin improvement for companies like NVDA. Broad supply-chain beneficiaries are also expected.
- Data centers & Cloud Infrastructure — Accelerated data center construction and compute expansion increase demand for servers, storage, and networking equipment, strengthening the long-term fundamentals of cloud operators and equipment vendors.
- AI Platforms & Software — Corporate AI adoption expands demand for model deployment, management, and services, which should boost subscription and cloud revenues for platform and software providers such as MSFT, GOOG, and META.
- Semiconductor Equipment & Memory Manufac — AI infrastructure investment raises demand for semiconductor manufacturing equipment and high-performance memory, supporting improved shipments and results for equipment makers and memory manufacturers.
하락 영향
- Large-cap Tech (Valuations) — Large AI-related CAPEX is denting near-term cash flow and heightened concerns about delayed monetization are pressuring valuations of MSFT, NVDA, META and other large tech names.
- Hardware & Smartphones (including Apple) — Apple’s hardware price increases could dampen consumer demand, weighing on iPhone and other device sales and causing near-term revenue headwinds for component suppliers.
- OEM Margins (Rising Component Costs) — Higher compute and memory costs raise OEMs’ cost burdens for PCs, servers, and devices, squeezing product margins; if price pass-through is difficult, this could translate into weaker results.
AI가 생성한 분석으로 투자 자문이 아닙니다.
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