HomeAI & Quantum ComputingNvidia Rebounds 4% as Melius Cuts Target to $315 and Wall Street...

Nvidia Rebounds 4% as Melius Cuts Target to $315 and Wall Street Weighs the Timing of AI Spending

Nvidia shares climbed 4.0% on Wednesday, recovering part of the prior session’s steep decline as the broader chip sector steadied following a sharp selloff in AI-related names. The rebound came as investors weighed two competing narratives: whether the pullback offers an entry point, or whether political and financing risks justify caution.

The previous day’s rout hit Nvidia hard, with the stock falling 8.9% amid a sector-wide retreat. Reuters linked the industry losses to concerns that Democratic gains in the midterm elections could trigger tighter scrutiny of AI infrastructure. Worries about artificial intelligence spending and the prospect of stricter regulation had already been weighing on trading, and media reports indicated Nvidia was among the stocks most affected.

Melius Trims Its Target, Keeps the Rating

Melius Research analyst Ben Reitzes cut his Nvidia price target to $315 from $420 on Monday, while maintaining a buy recommendation. The reduction did not coincide with a downgrade. The move landed as the U.S. Department of Justice examines Nvidia’s acquisitions, investments and sales practices, according to a Reuters report dated October 28. That review also covers the competitive implications of the planned $12.93 billion acquisition of Hugging Face.

On the analyst front, Bank of America Securities’ Vivek Arya reaffirmed his buy rating on Tuesday, offering a counterweight to the cautious sentiment that preceded the selloff.

The Build-Out Becomes the Battleground

For investors, the central question is less about the general importance of artificial intelligence than about the timing of its financial impact on Nvidia. Political uncertainty becomes economically relevant when it alters customer schedules — specifically, whether construction delays translate into postponed chip purchases. A slower pace of data center construction could push orders into later periods, weighing on growth expectations even if underlying demand remains intact.

The bear case starts with investment conditions. Beyond political uncertainty, media reports pointed to concerns about financing costs and AI valuations weighing on the sector. Should tighter scrutiny coincide with more expensive financing, customers could grow more cautious about building and equipping facilities. Several risks could reinforce one another: slower construction would shift procurement timing, while higher financing costs could complicate the economics of new projects.

Should investors sell immediately? Or is it worth buying Nvidia?

The bull case hinges on political concerns having only a limited effect on actual build-out. If customers proceed with projects and chip purchases as planned, attention could shift back to how Nvidia’s technology is being deployed. Investors should watch for signals on the implementation of customer projects; statements about demand carry more weight when tied to concrete procurement plans.

Partnerships Offer a Concrete Data Point

One tangible reference point came from the expanded partnership with Box, revealed on Tuesday. According to Reuters, Box introduced an AI search engine built on Nvidia’s Nemotron models, along with a tool for AI workflows. Box said the search engine can improve accuracy by 20% and cut token consumption by 90%. Lower resource consumption and better results could give companies additional reasons to adopt such offerings — evidence of Nvidia’s models in practical use, though its weight for investment decisions depends on how broader demand for AI infrastructure develops.

Nvidia and Oracle announced on October 27 that they would expand Oracle Cloud Infrastructure superclusters with Nvidia Vera Rubin NVL72 systems to a scale of multiple gigawatts. According to the companies, those systems and Vera processors were generally available on the platform. That same day, Nvidia and Meta announced an expanded collaboration around Meta’s Muse model family, with Meta planning broader use of Vera Rubin, Vera processors and Nvidia’s networking and infrastructure technology.

November 17 Becomes the Reckoning

The next concrete checkpoint is Nvidia’s conference call on November 17 to discuss results for the third quarter of fiscal 2027. The reporting period ended October 25, and the CFO’s supplementary remarks are to be provided after the results are published. What Nvidia says about demand and customers’ willingness to invest will matter most: confirmation of reliable procurement would strengthen the bullish thesis, while signs of delays would give the cautious scenario more weight.

Until then, the debate turns on whether customers carry out their infrastructure plans and continue chip purchases, or whether the timetable for major investments slips. A shift in spending would tip the balance toward the risk of later revenue recognition — a question of timing rather than of AI’s long-term significance.

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