Nvidia Delivered ‘Superstar Performance’ in Q4, According to Dan Ives
Speakers
Dan Ives — Managing Director, Wedbush Securities
— Wedbush analyst
Summary
- Nvidia's Dominance: Ives characterizes Nvidia's Q4 performance as "Michael Jordan-like," highlighting a massive beat in data center revenue ($5-7 billion above street estimates).
- Price Target Update: Wedbush raises the price target for NVDA to $300, viewing the current price (sub-$200 in the context of the video) as the "base case."
- The "Bubble" Rebuttal: Ives argues the "AI bubble" thesis is dead, citing a 12-to-1 demand-to-supply imbalance for Nvidia chips.
- The Multiplier Effect: He introduces a key macro metric: for every $1 spent on Nvidia chips, there is an $8-10 multiplier across the rest of the tech ecosystem (software and infrastructure), suggesting the market is mispricing the second-order effects.
- Competitive Moat: Nvidia is estimated to be 3-4 years ahead of competitors (AMD, Intel) with its Blackwell/Rubin roadmap.
Trade Ideas
"Demand supply is 12 to 1 for NVIDIA chips... margins [are] 75%... they are 3 to 4 years ahead of any competitor." The market fear regarding a deceleration or an "AI bubble" is unfounded because the physical demand for data center transformation vastly outstrips supply. The pricing power (75% margins) indicates they have a monopoly-like hold on the "new oil" of the tech economy. Ives views the stock as a "table pounder" with a trajectory toward $300. Potential future constraints in the supply chain or a faster-than-expected rise in competitive chips from hyperscalers.
"Every dollar spent on Nvidia chips... $8 to $10 multiply across the rest of the tech... The Steve Kerr would be the Microsoft." The market is currently focused on the "software doomsday trade" (fear that AI replaces software), but Ives argues the opposite. The hardware spend is a leading indicator for a massive software boom. As chips are deployed, software companies (like Microsoft) will monetize the use cases. Long the software layer as the beneficiary of the hardware infrastructure being built today. Software monetization lags hardware sales; if use cases don't materialize quickly, the multiplier thesis fails.
"AMD is going to play a huge role. Micron is going to play a role. You will go down like in terms of TSMC and just the whole derivatives on the supply chain." While Nvidia is "Michael Jordan," the market is large enough for a "Scottie Pippen" (AMD). Furthermore, the sheer volume of CapEx spending requires massive amounts of memory (Micron) and fabrication capacity (TSMC), creating a rising tide for the entire hardware supply chain. Buy the ecosystem derivatives that support the AI buildout. These companies are "second fiddle" to Nvidia; if Nvidia sneezes, these stocks may catch a cold.
Dan Ives
Star Analyst at Wedbush
"Obviously Intel is trying to get into the game, but the reality is that everybody is so far ahead." In a race where the leader (Nvidia) is 3-4 years ahead and the runner-up (AMD) is established, a legacy player trying to pivot (Intel) faces insurmountable technical and market share barriers. Avoid capital allocation to laggards in a winner-take-most market. Intel could surprise with a technological breakthrough or government-backed resurgence.
