Nvidias, Software

Nvidia's Software Moat Meets a $350 Bet as Foxconn Data Keeps the Bid Alive

Published on 10/05/2026 at 19:30 | Editorial boerse-global.de

Nvidia presses toward its 52-week high as Foxconn's 47% revenue jump signals strong AI demand; Cantor Fitzgerald keeps a $350 target.

Pop-Art-Comic-Illustration eines KI-Roboterkopfes mit sichtbarem neuronalem Netz, verbunden mit Chip-Platinen, in kräftigen Rastertönen, Magenta, Gelb, Cyan und Schwarz
Nvidia US67066G1040 KI-Roboterkopf mit neuralem Netz und Chip-Platine im Pop-Art-Comic-Stil nach Lichtenstein Illustration mit AI erstellt.

Nvidia shares are pressing against record territory, and the case for owning them no longer rests on chip sales alone. The stock changed hands at €210.80 in recent trading, within touching distance of its 52-week high of €212.50, after a 1.4% advance. A separate reading put the price at €210.10 pre-market, up 1.1% and just 0.4% shy of a €211.00 peak — small discrepancies in timing, but the same message: the market is testing the upper end of the range.

What keeps the bid firm is a supply-chain signal that landed days ago. Taiwan's Hon Hai Precision Industry, better known as Foxconn, lifted revenue 47% year-on-year in the September quarter to NT$3.03 trillion, clearing analyst estimates, according to Bloomberg. For a company that assembles much of the hardware underpinning AI infrastructure, that figure is hard to read as anything other than hyperscalers holding their order books wide open.

The Inference Question Nobody Has Answered Yet

The strategic debate has shifted ground. The old argument was about training runs for large language models; the new one is whether spending holds up as workloads migrate toward inference and autonomous AI agents. That single variable decides whether today's enormous accelerator order volumes represent structural growth or the top of a cycle.

Inference demands different silicon and tighter coupling between hardware and software. Nvidia has been building outward from the chip to meet that shift. Its Open Agent Safety Platform, unveiled roughly a week ago, pairs the OpenShell runtime with the Sentry reference design to monitor and govern what autonomous agents do. More than 100 organizations were involved at launch, though TechCrunch noted OpenAI was not among the early participants.

The company also deepened development work with cloud provider CoreWeave, aiming to link agent training and production deployment without seams. Read together, these moves describe a company positioning itself less as a component supplier and more as the control layer for the agents that Bloomberg expects to drive future infrastructure demand.

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

Cantor Fitzgerald's $350 Call and the Buyback Behind It

Cantor Fitzgerald reaffirmed its Overweight rating on Thursday and set a $350 price target — a figure that assumes flawless execution. The bull case leans on Nvidia's full platform architecture, which backers argue becomes decisive as inference workloads grow more complex. Margins, in this view, stay elevated because software, custom server designs and leading chip architecture combine to preserve pricing power over deep-pocketed cloud operators.

Capital allocation reinforces the story. The board authorized an additional $150 billion buyback about a week ago, bringing the remaining authorization to $235 billion through fiscal 2028. That scale says two things at once: management trusts its cash generation enough to return extraordinary sums, and it sees the shares as undervalued.

Macro conditions have cooperated. Weaker-than-expected US jobs data on Friday eased rate concerns, Reuters reported — a backdrop that tends to favor technology heavyweights when monetary risk recedes and software demand accelerates.

Where the Bear Case Lives

None of this comes free at current multiples. On this valuation, the market forgives little. If hyperscalers find that monetizing new software offerings takes longer than planned, an abrupt spending pause would hit suppliers hard.

Hardware timing adds its own uncertainty. Industry watchers have speculated about delays to coming generations, with one line of chatter suggesting RTX 60 graphics processors might not arrive until 2028. Nvidia does not comment on unannounced products or rumors, but the market's jitteriness shows how sensitive investors are to stretched product cycles. Any slip in future architectures hands rivals room to close the gap.

Two Roads From Here

The medium-term path splits cleanly. As long as revenue at key contract manufacturers keeps growing at a double-digit clip and major cloud customers hold their data-center budgets, the fundamental uptrend survives. Should those companies balk at directing further tens of billions into added capacity, the ambitious multiples face a meaningful correction.

The next hard catalyst sits in the upcoming quarterly reports from the leading cloud infrastructure operators. Their actual capital budgets for the closing quarter will settle whether demand for platform solutions can keep carrying the valuation.

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