Nvidia’s selloff is creating a different debate
Nvidia shares fell 2.9% on Monday for a seventh straight decline, the longest losing streak since September 2022. The shares were up about 12% for the year while the PHLX Semiconductor Index had risen roughly 59%.
- Nvidia’s selloff is creating a different debate
- The valuation case behind a $350 target
- Nvidia is trying to become more than a chip supplier
- A broader AI infrastructure platform
- Competition remains the biggest challenge
- Server pricing adds another variable
- Nvidia is also moving higher in the AI stack
- What investors will watch next
This point matters because the investment debate is no longer limited to near-term GPU shipments. It is about how much of the expanding AI infrastructure economy Nvidia can continue to influence and monetize as competition, capital requirements and customer structures evolve.
The valuation case behind a $350 target
Cantor Fitzgerald analyst C.J. Muse set a $350 price target, about 67% above the level cited in the report. His bullish framework uses EPS estimates of about $17 for calendar 2027 and $25 for 2028, implying roughly 14x and 10x those earnings.
This point matters because the investment debate is no longer limited to near-term GPU shipments. It is about how much of the expanding AI infrastructure economy Nvidia can continue to influence and monetize as competition, capital requirements and customer structures evolve.
Nvidia is trying to become more than a chip supplier
Muse argues Nvidia is becoming more than a chip supplier. He points to equity stakes in AI companies including OpenAI and Anthropic and revenue-sharing arrangements with neocloud providers such as CoreWeave and Nebius Group.
This point matters because the investment debate is no longer limited to near-term GPU shipments. It is about how much of the expanding AI infrastructure economy Nvidia can continue to influence and monetize as competition, capital requirements and customer structures evolve.
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A broader AI infrastructure platform
The thesis is that Nvidia can participate across AI infrastructure through GPUs, networking, racks, software, financing and partnerships. Enterprises, specialized AI clouds and sovereign AI programs can broaden demand beyond the largest hyperscalers.
This point matters because the investment debate is no longer limited to near-term GPU shipments. It is about how much of the expanding AI infrastructure economy Nvidia can continue to influence and monetize as competition, capital requirements and customer structures evolve.
Competition remains the biggest challenge
Competition remains a major risk as large cloud companies develop custom chips. Muse argues Nvidia is becoming difficult to disintermediate because it can remain involved through software, financing, networking, system architecture and infrastructure relationships even if a rival wins one layer of the stack.
This point matters because the investment debate is no longer limited to near-term GPU shipments. It is about how much of the expanding AI infrastructure economy Nvidia can continue to influence and monetize as competition, capital requirements and customer structures evolve.
Server pricing adds another variable
Reports cited by MarketWatch said Nvidia may raise prices for AI-chip servers, with some customers potentially facing increases above 15% depending on chip generation and memory requirements, for shipments next year.
This point matters because the investment debate is no longer limited to near-term GPU shipments. It is about how much of the expanding AI infrastructure economy Nvidia can continue to influence and monetize as competition, capital requirements and customer structures evolve.
Nvidia is also moving higher in the AI stack
Another report said Nvidia plans an open-weight AI model through a $6 billion licensing agreement with Poolside, competing with offerings including DeepSeek and Moonshot AI’s Kimi K3. Nvidia did not immediately comment to MarketWatch on the reports.
This point matters because the investment debate is no longer limited to near-term GPU shipments. It is about how much of the expanding AI infrastructure economy Nvidia can continue to influence and monetize as competition, capital requirements and customer structures evolve.
What investors will watch next
Nvidia is due to report fiscal second-quarter earnings after Wednesday’s closing bell. Investors will be watching AI-system demand, infrastructure spending, pricing, margins and whether Nvidia’s broader ecosystem strategy can keep it central to the AI buildout.
This point matters because the investment debate is no longer limited to near-term GPU shipments. It is about how much of the expanding AI infrastructure economy Nvidia can continue to influence and monetize as competition, capital requirements and customer structures evolve.
