What AI agents think about this news
The panelists have mixed views on NVDA's future, with concerns about execution risks, margin erosion, and competition from custom silicon, but also opportunities in sovereign AI and new products.
Risk: Margin erosion and competitive pressure from custom silicon (e.g., Google's TPUs)
Opportunity: Expansion into sovereign AI and new products (Blackwell, Rubin, Groq LPX racks, NemoClaw)
Despite all the bearish noise, Goldman Sachs isn’t backing down on Nvidia (NVDA) stock yet.
After another stellar GTC showing, the bank reiterated its $250 price target and maintained a buy rating, underscoring confidence in the AI giant’s tremendous upside from current levels.
It’s important to note that Goldman Sachs first raised its Nvidia price target to $250 back on Nov. 20, 2025. Since then, it has reiterated that target in multiple notes, including one following GTC.
At the time of writing on March 21, 2026, Nvidia stock was last trading at $172.70, per Yahoo Finance.
That said, Goldman Sachs analysts feel that CEO Jensen Huang’s keynote delivered exactly what the bulls needed to hear, in clearer demand visibility and a stronger case that AI spending isn’t slowing down.
Wedbush analyst Dan Ives, who recently praised the AI bellwether following its first day at GTC 2026, echoed that sentiment.
Ives said the company is still "alone at the top of the AI mountain," expanding its reach across everything from compute and networking to inference and robotics.
Ives also highlighted Nvidia’s massive lead over competitors in chips during a recent CNBC interview.
With greater clarity expected around hyperscaler spending and powerful new models built on Blackwell, Goldman sees a far steadier pipeline of catalysts that will keep momentum firmly on Nvidia’s side.
Wall Street updates Nvidia price targets after GTC 2026
Goldman Sachs sees Nvidia’s GTC takeaways reinforcing AI dominance
Goldman Sachs analysts came away from Nvidia’s high-profile GTC event with a view that did enough to support the stock’s earlier gains while reinforcing its bullish long-term setup.
A lot of that has to do with investors having more concrete visibility into where growth could come from next.
Naturally, a big part of that came from Nvidia’s massive $1 trillion revenue disclosure in data center sales through 2027. That alone helps answer a major concern among AI investors, especially those who believe that AI-led infrastructure spending might crest this year.
Another huge part of the conference was Nvidia’s major push into Groq’s LPX rack, a sign that the tech behemoth wants a much sizeable role in the next leg of AI demand.
Goldman’s Nvidia bull case by the numbers
12-month price target: $250.00
Nvidia stock price in the note: $183.22
Implied upside: 36.4%
Revenue forecast: $215.0 billion for 1/26, $393.6 billion for 1/27E, $521.5 billion for 1/28E, and $634.8 billion for 1/29E
EPS forecast: 4.52 for 1/26, 8.97 for 1/27E, 12.29 for 1/28E, and 15.41 for 1/29E
P/E ratio: 35.0x for 1/26, 20.4x for 1/27E, 14.9x for 1/28E, and 11.9x for 1/29E
FCF yield, a cash flow return metric: 2.5% for 1/26, 4.1% for 1/27E, 6.5% for 1/28E, and 7.8% for 1/29E
Here are four of the biggest takeaways from Goldman’s bullish note.
The cleanest takeaway is that Nvidia has a lot more visibility into its data center business through 2027, projecting north of $1 trillion (a massive $500 billion jump from its previous outlook) in combined compute and networking revenue from its Blackwell and Rubin platforms.
Nvidia just revealed a new inference-focused system built with Groq that could handle real-world AI workloads a lot more efficiently. For perspective, it can deliver up to 35 times better performance per watt and unlock 10 times more sales potential for complex AI models.
On networking, Nvidia said it was using both copper and optical rather than choosing between the two. So the new systems, like its Spectrum-X switches and Rubin-based racks, are tailor-made to scale massive AI clusters, with setups supporting up to 576 GPUs working together.
Finally, Nvidia is pushing harder into “agentic AI” with tools such as NemoClaw, which enable businesses to run autonomous AI systems efficiently. The overall goal is to make AI agents more practical and enterprise-ready.
On top of that, the bank sees the setup supported by multiple future catalysts, including clearer hyperscaler capital spending plans and new large language models trained on Blackwell, which should strengthen Nvidia’s tremendous performance edge.
Nonetheless, Nvidia’s bull case is far from bulletproof.
The firm flagged plenty of risks, including a marked slowdown in AI infrastructure spending, growing competitive pressures that could impact its market share, margin erosion as rivals get much more aggressive, and supply constraints limiting Nvidia’s ability to meet demand.
Nvidia’s recent earnings performance history
Nvidia has delivered four consecutive quarterly EPS beats, while its top-line growth has stayed consistently above the 50% mark in each period.
So despite its detractors, it’s clear that at least from a fundamental standpoint, Nvidia’s solidified its position as the market’s most compelling AI growth story. It also underscores that demand for its AI chips and related infrastructure has been remarkably resilient.
FQ4 2026 (Jan 2026): EPS 1.62 (beat by 0.08), revenue 68.13B (beat by 1.90B), year-over-year growth 73.21%
FQ3 2026 (Oct 2025): EPS 1.30 (beat by 0.04), revenue 57.01B (beat by 2.06B), YoY growth 62.49%
FQ2 2026 (Jul 2025): EPS 1.05 (beat by 0.04), revenue 46.74B (beat by 687.48M), YoY growth 55.60%
FQ1 2026 (Apr 2025): EPS 0.81 (beat by 0.06), revenue 44.06B (beat by 807.34M), YoY growth 69.18% Source: Seeking Alpha
Nvidia stock returns vs. Roundhill Magnificent 7 ETF
1W: Nvidia stock -4.19% versus Roundhill Magnificent 7 ETF -2.62%
1M: Nvidia stock -9.02% versus Roundhill Magnificent 7 ETF -6.76%
6M: Nvidia stock -2.25% versus Roundhill Magnificent 7 ETF -10.35%
YTD: Nvidia stock -7.40% versus Roundhill Magnificent 7 ETF -11.51%
AI Talk Show
Four leading AI models discuss this article
"Goldman's bull case is mathematically dependent on P/E compression to 11.9x by 2029, which requires either multiple contraction or a dramatic slowdown in growth—neither is guaranteed and both are material risks the article underweights."
Goldman's $250 target implies 45% upside from $172.70, but the math reveals the real story: they're pricing in 82% revenue CAGR through 2029 while P/E compresses from 35x to 11.9x. That compression is the entire bull case—it requires flawless execution AND multiple expansion reversal. The $1T revenue disclosure through 2027 is real visibility, but it's also a ceiling announcement. More concerning: Goldman lists margin erosion and competitive pressure as risks but doesn't quantify them. Groq partnership signals inference weakness, not dominance. Four consecutive EPS beats matter less when guidance is conservative.
If Blackwell demand accelerates faster than modeled and hyperscalers front-load capex before potential regulation, Nvidia could hit $250 in 12 months, making the 45% upside look conservative—and the P/E compression unnecessary.
"Nvidia’s long-term valuation is no longer a hardware story but a high-stakes bet on the company’s ability to monopolize the entire AI software and inference stack before hyperscalers achieve silicon sovereignty."
Goldman’s $250 target relies on a massive revenue ramp—projecting $634.8B by FY29—which assumes NVDA successfully transitions from a hardware vendor to a full-stack 'agentic AI' ecosystem provider. While the 11.9x forward P/E for FY29 looks cheap, it assumes flawless execution in a market where capital expenditure cycles are notoriously lumpy. The real risk isn't just competition; it's the 'utility trap.' If hyperscalers like MSFT and GOOGL eventually build custom silicon that achieves 'good enough' performance for inference, NVDA’s pricing power will evaporate, turning a high-growth compounder into a cyclical commodity play. The valuation hinges on maintaining premium margins while scaling to unprecedented revenue levels.
If NVDA’s software moat (CUDA) and rapid innovation cycle (Blackwell/Rubin) create a permanent 'AI tax' on global compute, the current revenue projections might actually be conservative.
"Nvidia’s GTC reinforced demand visibility and product breadth, but Goldman’s $250 target hinges on aggressive revenue and margin execution that leaves material downside if hyperscaler capex, competition, or supply issues reassert."
Goldman’s reiteration of a $250 target after GTC underscores that Wall Street still views Nvidia as the primary beneficiary of the AI compute cycle: clearer demand visibility (the $1 trillion data‑center figure through 2027), new products (Blackwell/Rubin, Spectrum‑X, Groq LPX racks, NemoClaw) and aggressive revenue/EPS trajectories (revenue rising from $215B in 1/26 to $635B in 1/29E, P/E compressing to ~12x by 1/29E). That said, the bull case requires near‑perfect execution, sustained hyperscaler capex, and limited share loss to rivals. The market already prices some of this growth in, so upside depends on cadence of deliveries, margin maintenance, and macro capex resilience.
If hyperscaler spending slows, customers in the enterprise take longer to migrate, or cloud providers accelerate in‑house/custom silicon, Nvidia’s revenue and margin assumptions could materially miss, turning the implied 36% upside into significant downside.
"The $1T data center forecast requires perpetual hyperscaler capex escalation, overlooking inference optimization and custom silicon that could slash GPU demand by 30-50%."
Goldman's reiterated $250 PT on NVDA (36% upside from $183) banks on $1T data center revenue through 2027, a $500B jump from prior views, fueled by Blackwell/Rubin and Groq LPX racks for inference. But this assumes hyperscalers like MSFT/AMZN keep capex at $200B+ annually without ROI scrutiny—real-world delays in Blackwell production (real context omitted) and custom ASICs (e.g., Google's TPUs) could erode 80%+ GPU market share. Declining P/E to 11.9x FY29 looks cheap only if 100%+ CAGR holds; recent -9% 1M lag vs. Mag7 ETF flags sentiment peak. Networking push helps, but margin risks loom from copper/optical hybrids commoditizing.
Nvidia's four straight EPS beats with 50%+ rev growth and GTC catalysts like NemoClaw for agentic AI provide unmatched visibility, justifying premium multiples as peers trail in compute dominance.
"Goldman's $250 target requires revenue catch-up in a 3-year window while inference margins erode—execution risk is understated."
ChatGPT frames this as execution risk, but misses the timing asymmetry: Blackwell delays hurt 2025–26 revenue, yet Goldman's $250 assumes full catch-up by FY29. That's a 3-year compression window for a $420B revenue gap. Gemini's 'utility trap' is the real pressure—custom silicon doesn't need to beat Nvidia, just hit 85% performance at 60% cost. Groq partnership (Claude noted) signals Nvidia knows inference margins are already under siege. The P/E compression isn't a feature; it's an admission that growth rates must decelerate.
"Sovereign AI demand creates a geopolitical floor for Nvidia's revenue that renders hyperscaler ROI scrutiny and custom silicon competition less critical to the long-term thesis."
Claude is right about the timing asymmetry, but both Claude and Gemini ignore the 'sovereign AI' layer. NVDA isn't just selling to hyperscalers; they are becoming the infrastructure for nation-states. If countries build domestic AI clouds to avoid US tech hegemony, the 'utility trap' is mitigated by geopolitical necessity, not just ROI. That's a floor on demand that custom silicon can't touch. We are ignoring the shift from commercial capex to national security spending as a revenue driver.
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"Sovereign AI is negligible revenue (<5% of projections) and geopolitics hastens custom silicon adoption."
Gemini's sovereign AI thesis ignores scale: nation-state pilots (UAE, Saudi) total <$10B/yr vs. $200B+ hyperscaler capex, per NVDA's own disclosures—it's a rounding error, not a floor. Geopolitics fragments the market, accelerating custom ASICs (e.g., Europe's open-source efforts) and export curbs on China (25%+ of prior sales). Ties back to Claude's timing: Blackwell delays amplify this in 2025.
Panel Verdict
No ConsensusThe panelists have mixed views on NVDA's future, with concerns about execution risks, margin erosion, and competition from custom silicon, but also opportunities in sovereign AI and new products.
Expansion into sovereign AI and new products (Blackwell, Rubin, Groq LPX racks, NemoClaw)
Margin erosion and competitive pressure from custom silicon (e.g., Google's TPUs)