Nvidia’s $4 Trillion Valuation Faces an In-House Chip Threat

Nvidia’s $4 trillion valuation faces a specific threat: Google already holds 25% of the AI chip market, according to a bearish Seeking Alpha analysis. The analysis projects Nvidia’s share to fall to 60%-plus by 2030 and assigns a rating downgrade because of long-term downside risk.

The commercial argument does not require artificial-intelligence spending to stop. Hyperscalers and other technology giants continue to invest in AI data centers, and the analysis calls that capital spending persistent. The pressure comes from those same customers accelerating in-house AI chip development, which the author says threatens Nvidia’s margins and market share.

The case allows for continued AI spending and data-center investment. It instead assumes that customers capture more of the value chain, leaving Nvidia with less of the economics. That distinction matters.

What do the market-share figures establish?

The analysis presents Google’s 25% share as current but does not define the market or explain its measurement method. For 2030, it treats Nvidia’s 60%-plus figure as a forecast rather than a disclosed capacity, shipment or revenue number. It supplies no process-node, wafer-size or product-family breakdown, and no dollar value for hyperscaler capital spending.

None of the manufacturing variables needed to test a supply thesis appears: the analysis gives no wafer starts, process nodes, packaging capacity, accelerator shipments or revenue split for Nvidia and its rivals. A claim about fab supply would therefore be unsupported. Its evidence instead concerns market share, customer design choices and Nvidia’s pricing power.

Google is the analysis’s named proof point. The piece does not give Google chip volumes, product names or deployment schedules, so its 25% share should not be treated as a shipment tally or disclosed production capacity.

How does custom silicon change the commercial picture?

Optimizing the value chain lets customers capture work that previously supported demand for Nvidia’s high-margin GPUs. If their own chips handle more demand, Nvidia can lose both unit share and pricing power; customers remain buyers and emerging rivals at once. The piece provides no volumes, procurement schedules or GPU price forecasts, so the mechanism remains directional rather than quantified.

The bear case does not need a sharp fall in AI infrastructure spending; persistent data-center budgets can support GPU purchases while customer-designed chips erode Nvidia’s share and pricing power over time. A larger market can still be a worse business for one supplier if customers capture the premium. That is the thesis’s central tension.

The analyst writes: “NVDA’s $4 trillion valuation is unsustainable,” citing customer optimization of the value chain and reduced reliance on high-margin GPU purchases. The title calls Nvidia no longer a good AI investment and cites significant long-term downside risk. No discounted-cash-flow assumptions, earnings forecasts or peer multiples accompany that verdict.

What is the recommended response?

The analyst’s portfolio advice is blunt: “I recommend reducing NVDA exposure and diversifying into broader ETFs for AI exposure given intensifying competition from NVDA’s own customers.” The stated purpose is to retain participation in continuing AI spending while reducing concentration in Nvidia. These are the analyst’s recommendations, not company guidance or an assessment of suitability for any investor.

Who is making the case, and what do the disclosures say?

The author describes a longstanding bearish position and says they have written 15 bearish pieces on Seeking Alpha since 2024. They add that they wrote the article themselves, receive no compensation other than from Seeking Alpha, and have no business relationship with any company whose stock is mentioned.

The analyst discloses a beneficial long position in BE through stock ownership, options or other derivatives. BE is identified only by ticker; the article text supplies no company name. That disclosure is material context for an article recommending reduced Nvidia exposure.

Seeking Alpha adds that past performance does not guarantee future results. It says no recommendation or advice is given on suitability for a particular investor, and that the views may not reflect the platform as a whole.

The service is not a licensed securities dealer, broker, US investment adviser or investment bank. Its analysts are third-party authors, including professional investors and individual investors who may not be licensed or certified by an institute or regulatory body.

What should readers watch through 2030?

• Whether Google and other hyperscalers expand in-house AI chip programs, as the bearish case assumes.
• Whether Nvidia’s market share tracks toward the projected 60%-plus level in 2030.
• Whether persistent AI data-center spending shifts toward customer-designed chips and away from high-margin GPU purchases.

If custom chips gain share while data-center budgets remain strong, the margin and valuation pressure described in the analysis becomes more credible. If in-house programs stall, Nvidia retains more of the economics that the $4 trillion valuation requires. The test will be share and pricing, not merely AI spending; both the forecast and the bear case remain conditional.