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Hyperscalers’ In-House Chips Are Chipping Away at NVIDIA’s Moat Just as the AI Trade Gets More Crowded

By Adam Lemon
Chief Analyst and Director of Content

Adam Lemon began his role at DailyForex in 2013 when he was brought in as an in-house Chief Analyst. Adam trades Forex, stocks and other instruments in his own account. Adam believes that it is very possible for retail traders/investors to secure a positive return over time provided they limit their risks, follow trends, and persevere through short-term losing streaks – provided only reputable brokerages are used. He has previously worked with...

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NVIDIA’s Custom Silicon Problem: Is the GPU Monopoly Under Attack?

NVIDIA (NASDAQ: NVDA) continues trading near record highs, despite its largest customers quietly becoming its most notable rivals. Google’s TPUs, Amazon’s Trainium, Microsoft’s Maia, and Meta’s MTIA are running AI workloads that once belonged exclusively to NVIDIA GPUs. Is Wall Street underestimating how much of NVIDIA’s growth runway depends on customers who are actively building their way out of its ecosystem?

Sentiment remains bullish on paper, but does rising hyperscaler capex directed at custom silicon rather than GPUs change the quality of NVIDIA’s future revenue?

Why Custom Chips Threaten NVIDIA’s Core Economics

Hyperscalers are shifting spending toward application-specific chips that cut compute costs by wide margins compared with general-purpose GPUs. This year’s combined hyperscaler AI capex is projected between $660 billion and $ 690 billion, and Broadcom (NASDAQ: AVGO) and Marvell (NASDAQ: MRVL) are becoming direct beneficiaries of the NVIDIA exodus. It adds to worries about NVIDIA’s role in China, as outlined in last week’s note, “NVIDIA’s China Market Share Collapses: Is a $5 Trillion Valuation Ignoring the Damage?”

The list of chips displacing NVIDIA workloads keeps growing. OpenAI is reportedly developing custom silicon with Broadcom even as it maintains a massive NVIDIA GPU commitment, and Anthropic has expanded multi-gigawatt TPU deployments alongside its own compute needs, while signing a massive deal with AMD (NASDAQ: AMD).

Core NVIDIA Fundamental and Technical Facts to Consider

NVIDIA dominates flexible training workloads, but inference has become the majority of AI compute. Is NVIDIA's CUDA software a little too late and too insignificant? Every significant AI lab began hedging against reliance on a single supplier. Does that diversification trend erode the pricing power that NVIDIA has enjoyed as the default choice?

Metric

Value

Verdict

P/E Ratio

31.75

Bearish

P/B Ratio

25.69

Bearish

PEG Ratio

0.57

Bullish

Current Ratio

3.44

Bullish

Return on Assets

52.73%

Bullish

Return on Equity

114.29%

Bullish

Profit Margin

62.97%

Bullish

ROIC-WACC Ratio

Positive

Bullish

Dividend Yield

0.48%

Bearish

NVIDIA Fundamental Analysis Snapshot

Price action recovered into its horizontal resistance zone, but bears appear to put up a fight. The Bull Bear Power Indicator is bullish, but a descending trendline is pressuring it close to a bearish crossover, which is a possibility traders should keep an eye out for.

Nvidia Price Chart

NVIDIA Price Chart

Where Bulls Push Back and Why It May Not Hold

Bulls note that GPUs still account for the majority of AWS’s AI server build-out, and NVIDIA’s upcoming Rubin platform aims to reclaim the performance lead with HBM4 memory. These are valid points, and NVIDIA also maintains a “Strong Buy” rating from most of the 61 analysts covering it. Still, is Wall Street’s continued optimism justified?

Bears counter that each time a hyperscaler moves a production workload onto its own chips, NVIDIA’s narrative weakens. While bulls appear to ignore custom-chip deployments at some of its biggest customers, this reflects a significant structural risk that slowly compresses NVIDIA’s gross margins and erodes its market share. As hyperscalers diversify away from single-vendor dependence, what does this mean for NVIDIA’s value proposition?

What the Setup Signals About Market Sentiment

Despite rising bearish catalysts, the average analyst price target of $302.83 suggests good upside potential, but downside risk is accelerating faster. Is NVIDIA losing its competitive edge faster than it can produce next-gen technology?

Options markets show implied volatility well ahead of its 30-day average, with straddle pricing implying a swing near 6% around the next earnings release. What does that gap between analyst optimism and options market caution suggest relative to the average analyst price target?

What the Setup Signals About Market Sentiment

Will NVIDIA’s upcoming architecture cycle be enough to reverse hyperscalers’ silicon ambitions? Today’s session could see a breakdown that clears more downside, or will bulls defend $211.06?

My NVDA Short Trade for Today’s Trading Session

  • NVDA Entry Level: Between $211.72 and $214.37

  • NVDA Take Profit: Between $197.97 and $203.00

  • NVDA Stop Loss: Between $218.18 and $221.01

  • Risk/Reward Ratio: 2.13

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Chief Analyst and Director of Content

Adam Lemon began his role at DailyForex in 2013 when he was brought in as an in-house Chief Analyst. Adam trades Forex, stocks and other instruments in his own account. Adam believes that it is very possible for retail traders/investors to secure a positive return over time provided they limit their risks, follow trends, and persevere through short-term losing streaks – provided only reputable brokerages are used. He has previously worked within financial markets over a 12-year period, including 6 years with Merrill Lynch.

As seen on: Pairs Of Aces, FX Street, FX Academy, TalkMarkets, Gold Eagle, Traders Union

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