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Quick Summary
Shares of Nvidia traded slightly higher over the past month. The rally reflects a renewed conviction in the tailwinds of AI infrastructure, despite recent valuation debates.
Against that backdrop, we ran Nvidia through an AI price-prediction agent powered by OpenAI’s Chat GPT. The goal was to see how a data-driven model handicaps the next 60 days for a stock that has become shorthand for the entire AI trade.
The agent was asked to generate a 60-day outlook for Nvidia, using recent price action and a focused set of technical indicators. At the time of the run, Nvidia traded at $186.39. For the period from through April 21, the model’s base-case projection came out to:
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Average predicted price: $190.75
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Implied move: slightly higher over the next 60 days
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Signal snapshot: MACD and RSI both skewed positive
The model is saying that, given current momentum and volatility, the most likely path is a grind higher from current levels. Still, broader AI price prediction says that Nvidia could hit $350 by 2030.
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Nvidia’s dominance in AI accelerators forms the bedrock of its growth story, powering the majority of training and inference workloads across hyperscalers and enterprises. Demand for its GPUs remains structurally constrained by production capacity, creating a multiyear backlog that translates directly to revenue visibility. This pick-and-shovel positioning insulates Nvidia from application-layer risks while capturing value across the entire AI stack.
Data center spending cycles continue accelerating, with hyperscalers committing unprecedented capex to build out next-generation infrastructure. Cloud providers’ guidance consistently points to sustained multihundred-billion-dollar annual investments, where Nvidia’s architecture maintains pricing power and market share leadership.
Enterprise adoption follows suit, as on-premise AI clusters proliferate beyond proofs of concept into production deployments.
Valuation digestion represents the current market dynamic, as investors process Nvidia’s transformation from a gaming/semiconductor player to an AI infrastructure monopoly. Forward multiples have compressed from peak levels yet remain premium to historical norms, reflecting acceptance of durable growth rates well above sector averages.
Momentum traders now focus on quarterly cadence, particularly Blackwell ramp updates, as triggers for re-engagement after consolidation.
Rather than slowly scaling position size through a retail account, some active traders use prop firms like Apex Trader Funding to access funded futures accounts of up to $300,000 after a single evaluation.
Supply constraints remain Nvidia’s biggest near-term wildcard, with TSMC capacity allocations fully booked well into 2026 and new fab timelines stretching further. Management’s outlook emphasizes the ability to meet demand through yield improvements and manufacturing partner coordination, though lead times persist as a natural barrier to discounting. This scarcity dynamic supports stable ASPs even amid competitive chiplet announcements from challengers.
Across major platforms, analysts maintain a Strong Buy consensus with 12-month price targets clustering in the mid $220s to mid $240s. Some of the more aggressive firms see upside into the high $260s if Nvidia maintains its dominant share in the AI accelerator giant. Even the median targets imply an upside from current levels.
The AI forecast can be viewed as a short-term temperature check on how steadily hyperscaler capex might extend Nvidia’s infrastructure dominance.
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This article ChatGPT Thinks Nvidia Stock Will Close At This Price In The Next 60 Days originally appeared on Benzinga.com
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