Wedbush's Ives Releases Top Tech Picks for 2027: NVIDIA Price Target at $300
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Former Wedbush analyst Dan Ives initiated coverage with five top tech picks — Nvidia, Microsoft, Apple, Palantir and CrowdStrike — all rated outperform, arguing the market underestimates a $4 trillion AI spending wave still in its early innings.
Who made the list, and at what price?
All five picks carry an outperform rating: Nvidia at $300, Microsoft at $650, Apple at $400, Palantir at $250, CrowdStrike at $335.
Ives separately named Tesla his top "disruptive tech" pick, also rated outperform, calling it the market's most important AI and robotics platform.
This means → the list is not a generic bull call — it is built along one axis: who sits deepest in the AI infrastructure chain.
What is the core bull case?
Ives's central thesis: investors underestimate the scale and duration of AI infrastructure spending. He sees a $4 trillion wave ahead.
Goldman Sachs goes further — estimating AI-related capex could reach $4–8 trillion over the next five years.
In plain terms = he is not betting on any single company's earnings; he is betting the entire AI build-out cycle is far from over — and money is still accelerating into it.
How does the logic differ stock by stock?
Nvidia is framed as "the foundational compute platform of the AI economy" → compute demand is the most certain leg of this spending wave.
Apple's case rests on AI driving device upgrades and services growth; Microsoft is a play on enterprise AI deployment.
Palantir and CrowdStrike sit on the application layer: enterprises deploying AI into operations → fueling demand for data analytics and cybersecurity.
What does this year's price action tell us?
Year-to-date returns are sharply divergent: CrowdStrike leads with a near-146% gain, Nvidia up ~27%, Apple ~23%, Palantir ~14%, Microsoft ~12%.
Tesla is the only decliner, down ~14% year-to-date — a clear outlier against the other five picks.
This reflects a market that currently rewards high-certainty AI infrastructure names (CrowdStrike, Nvidia) and remains skeptical of the "disruption narrative" (Tesla).
Can these targets actually be hit?
Ives himself sets a precondition: "supply, not demand, is the decisive factor at this stage" — he believes the AI build-out is still early.
In plain terms = whether these targets land depends on whether companies keep spending on AI at the current pace — if the capex rhythm slows, the valuation anchor loosens.
All targets are set against a pre-2027 horizon; the actual path will track how the AI capital-expenditure cycle evolves.
市场有风险，内容仅供研究参考，不构成投资建议。