Nvidia earnings collide with Wall Street skepticism over AI spending
Jensen Huang, president and CEO of Nvidia, attends the 56th annual World Economic Forum assembly in Davos, Switzerland, Jan. 21, 2026.
Denis Balibouse | Reuters
It’s been a troublesome begin to the yr for expertise buyers. Shares of seven of the eight trillion-dollar tech corporations have notched losses to date.
The lone exception is Nvidia. The chipmaker’s inventory is up 2.7% in 2026 as of Monday’s shut, whereas the Nasdaq has dropped greater than 2.5%. Microsoft, amazon and tesla have all seen double-digit declines.
Heading into Nvidia’s quarterly earnings report Wednesday, Wall Street has a fairly clear thought of the place the corporate stands. That’s as a result of its largest prospects introduced outcomes a number of weeks in the past and informed buyers that their mammoth spending on synthetic intelligence infrastructure is simply going to extend.
“Hyperscale capex forecasts for CY2026 have exceeded prior expectations,” analysts at Wedbush Securities wrote in a Monday word previewing Nvidia’s earnings. “With servers and AI infrastructure representing the bulk of forward spend, we expect growth in AI investment will somewhat exceed overall capex trends.”
Like over 90% of companies tracked by FactSet, Wedbush analysts suggest shopping for Nvidia shares. They have a $230 value goal on the inventory, which is 20% above Monday’s shut.
Nvidia, the world’s most precious publicly traded firm, now will get roughly 90% of its income from its information middle enterprise, which homes the graphics processing items, or GPUs, and AI methods used to coach and run most giant language fashions. As tech giants construct large new information facilities to fulfill hovering demand, they’re packing these services with Nvidia’s newest and best merchandise.
Alphabet, Microsoft, Goal and amazon are anticipated to spend almost $700 billion combined this yr to gas their AI enlargement, in accordance with their newest forecasts and analyst estimates. The 4 hyperscalers are projected to extend capital expenditures by greater than 60% from the historic ranges reached in 2025.
While all that spending is certainly constructive for Nvidia, there are many skeptics who concern that the tech business is overbuilding, and that any slowdown or softness could have an outsized impact on the dominant chipmaker.
“The story is so unbelievably simple, yet at the same time quite complex today,” wrote analysts at Cantor Fitzgerald in a report final week. The analysts, who’ve an outperform ranking on the inventory, mentioned that regardless of “insatiable” demand for computing energy and an “extremely positive” setup for Nvidia outcomes, “investor concerns remain, headlined by fears of peaking hyperscale” capex this yr.
Analysts on common count on Nvidia to report a 68% income bounce to $66 billion for the fiscal fourth quarter, in accordance with LSEG. For the April quarter, they see year-over-year progress of 63% to $72 billion.
Excitement is constructing for the upcoming launch of Nvidia’s next-generation Vera Rubin rack-scale methods later this yr. CEO Jensen Huang said in October that 6 million Blackwell GPUs had been shipped up to now 4 quarters, and that Nvidia expects $500 billion in GPU gross sales between the Blackwell era and the upcoming Rubin chips.
Investors might be listening carefully for commentary surrounding the rollout of Vera Rubin methods as they appear to gauge demand for the remainder of 2026 and past.
Another key matter for Huang and administration to deal with is Groq.
Wednesday’s earnings name would be the first since Nvidia purchased belongings from the chip startup in late December for about $20 billion. With the deal, Groq founder and CEO Jonathan Ross alongside with Sunny Madra, the corporate’s president, and different senior leaders joined Nvidia.
Groq’s specialty is on the inference aspect of the market, which refers to using AI to make selections primarily based on new data. Nvidia dominates the coaching piece of the market, which entails educating AI fashions to be taught from patterns in giant quantities of information. Analysts might be in search of readability on the influence of the deal on Nvidia’s steadiness sheet and its strategic plans for utilizing the expertise to compete with makers of customized ASICs, or application-specific built-in circuits.
“We are looking for any hints or specifics around products we should expect from Jonathan’s team and how this acquisition will increase NVDA’s accelerator business,” the Wedbush analysts wrote. “With concerns around increased competition from ASIC solutions, in our view, being one of the greatest drags on NVDA’s performance, we believe a strong Groq related roadmap could meaningfully allay investor concerns.”
