Dan Ives Sees Nvidia Price Hike as Bullish Overall for Tech
Speakers
Dan Ives
— Managing Director, Wedbush Securities
Summary
Dan Ives discusses Nvidia's upcoming earnings, rising memory costs, and AI server price hikes. He argues AI demand is accelerating and views the setup as bullish for Nvidia and the overall tech trade. He also highlights a memory supercycle and enterprise AI demand signals from Palantir and Microsoft.
- Ives expects robust Nvidia results and says Nvidia is central to the tech trade.
- Memory costs are rising in a memory supercycle, with chip demand/supply near 15-to-1.
- Nvidia is telling customers like Microsoft, Alphabet, and Oracle that server prices are rising about 15% due to memory.
- Ives sees AI demand accelerating, not decelerating, with the AI revolution still in early innings.
- He cites Palantir and Microsoft as evidence that enterprise AI adoption is real.
- He says hyperscalers cannot ease off AI spending and CapEx or debt issuance may accelerate.
Ideas
NVIDIA results lift tech into year-end
Dan Ives says Nvidia's price hikes and accelerating AI demand are bullish for the overall tech trade, and he expects robust Nvidia results to be a key driver for tech into year end.
NVIDIA robust results fuel AI upside
Dan Ives expects robust Nvidia results and sees Nvidia as the linchpin of the AI trade; he says chip demand/supply is about 15 to 1, enterprise AI is accelerating near 25%, and Nvidia has the best perch because its chips are the only ones fueling the AI revolution, so price hikes to customers are not slowing demand.
Memory supercycle is bullish for Micron
Dan Ives says a memory supercycle is underway, with memory prices rising enough that Nvidia must pass costs to customers; he notes chip demand/supply is around 15 to 1 and core equilibrium is unlikely until mid-to-late 2028, benefiting memory players such as Micron.
Enterprise AI demand is real
Dan Ives argues the AI demand cycle is real and not just CapEx circularity; he points to Palantir earnings and Microsoft's quarter as evidence that enterprises are signing on and giving a bright green light to accelerate AI initiatives.
