Price Prediction: Nvidia Could Hit $250 in 12 Months Despite AI Selloff

NVIDIA’s 24/7 Wall St. set a 12-month price target of $252.14 (+27.62% from $197.58) and reiterates a BUY with 90% confidence. Q1 FY2027 revenue rose 85.23% YoY to $81.615B, non-GAAP EPS was $1.87 (+5.42% vs consensus), and Data Center revenue hit $75.246B (+92% YoY) with Q2 guidance at $91B. The article also highlights shareholder returns—dividend increased from $0.01 to $0.25 and an $80B buyback approved—while warning that zero China Data Center revenue in guidance and $119B supply commitments could be vulnerable if hyperscaler capex cools.

Analysis

The selloff looks more like a factor unwind than a fundamental break, which matters because NVDA is now a proxy for the entire AI-capex complex. In the next few sessions, the stock will trade less on model targets and more on whether investors believe hyperscaler spending remains a 12-18 month line item rather than a one-cycle burst. That makes the tape sensitive to every capex comment from large cloud buyers; a single soft print from GOOGL or META would pressure the whole basket, even if NVDA fundamentals stay intact.

Relative winners are the companies that monetize AI infrastructure without owning the full hardware burden. AMD is the clearest relative loser if Blackwell/Rubin keeps extending Nvidia’s ecosystem lock-in, because share gains become harder and the market will tolerate less narrative valuation premium from a less differentiated product stack. The second-order winner set is broader than the article implies: networking and interconnect names benefit from the attach rate, while hyperscalers get better product velocity but face near-term FCF compression as AI spend keeps rising.

The contrarian miss is that consensus is treating this as a valuation reset when it is really a durability test on demand. The stock can re-rate higher only if investors see evidence that Nvidia’s buyback and margin expansion are being funded by durable free cash flow, not peak-cycle scarcity pricing. Falsifiers are straightforward: a downshift in hyperscaler capex over the next 1-2 earnings cycles, any China export tightening, or a meaningful slowdown in order visibility; absent those, the pullback is more likely to be a tradable dislocation than a thesis break.

Key Decisions for Investors

• Buy NVDA on weakness over the next 1-3 weeks, with a 3-month target back toward prior highs if hyperscaler capex commentary stays firm; trim if the stock loses the post-selloff support zone and fails to reclaim it into earnings season.
• Put on a pair trade: long NVDA / short AMD for 1-3 months. Thesis: Nvidia’s ecosystem and networking attach keep compounding while AMD remains more exposed to share-stealing headlines and multiple compression if AI spending rotates inside the group.
• Use GOOGL and META as catalyst watches rather than outright longs: if either company reiterates or raises AI infrastructure spend in the next print, add to NVDA; if either signals a capex pause, de-risk NVDA immediately.
• For investors wanting convexity, consider a call spread in NVDA into the next hyperscaler earnings window instead of outright stock, since the near-term risk is another sector-wide de-rating even if the medium-term thesis is intact.