Nvidia Stock After the Pullback: Is the AI Rally Still Early?
Wedbush analyst Dan Ives argues the AI revolution is only in its third inning, raising the question of whether Nvidia's recent dip is a buying opportunity.
Few technology stocks have captured the AI investment narrative as completely as Nvidia, and few analysts have been as consistently bullish on that narrative as Wedbush Securities' Dan Ives. His latest framing — that the artificial intelligence revolution remains in its "third inning" — suggests the bulk of the growth story is still ahead, even as Nvidia shares have retreated from recent highs.
The pullback itself is not unusual territory for Nvidia investors. Those who have purchased the stock during prior corrections have, historically, been rewarded as the company's dominant position in AI accelerator chips reasserted itself in the market's pricing. That pattern has become almost a ritual for long-term shareholders, though past performance in a momentum-driven stock is never a guarantee of future results.
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What makes the current moment analytically interesting is the tension between short-term volatility and longer-term structural demand. Enterprises and cloud hyperscalers are still in early phases of buildout for AI infrastructure, which underpins the bull case that Ives and others are making. If the "third inning" metaphor holds, Nvidia's addressable market expands considerably from here — a thesis that would make current price weakness look like noise rather than signal.
Still, investors weighing a position should account for the risks that any single-company concentration in a fast-moving sector carries. Competitive pressure from custom silicon developed by major cloud players, potential regulatory headwinds, and macroeconomic sensitivity in capital expenditure cycles are all variables that could complicate even a fundamentally sound long-term thesis.
Whether the dip represents a durable entry point or a temporary pause before further correction depends heavily on one's conviction in the pace of enterprise AI adoption — a question that remains genuinely open. Continue reading at Yahoo.
