Dan Ives Sees Nasdaq Hitting 30,000 in 1 Year as AI Earnings Rally Gains Force
Updated
Updated · CNBC · May 11
Dan Ives Sees Nasdaq Hitting 30,000 in 1 Year as AI Earnings Rally Gains Force
10 articles · Updated · CNBC · May 11
30,000 is Dan Ives’ 12-month target for the Nasdaq, implying further upside from Friday’s 26,247.08 close after the index gained 12.93% this year.
Strong tech earnings drove the call, with Ives saying results validated the AI investment case and that chip demand is outstripping supply by 10-to-1.
The bullish view extends beyond chipmakers to hyperscalers, software, cybersecurity, infrastructure and power plays, while Ives also called AI-driven memory demand a super-cycle.
AI-linked stocks have already surged—the Nasdaq’s PHLX Semiconductor Sector Index jumped 38% in the past month, and Intel, Nvidia, Apple and Alphabet posted double-digit gains.
Skepticism persists: Michael Burry warned the AI trade resembles the late 1999-2000 bubble, though Paul Tudor Jones also said the bull market can keep running despite possible sharp valuation corrections.
With software stocks lagging despite the AI boom, is the market signaling a hidden disruption that investors are missing?
Is this 1999 again, or do massive investments in physical assets mean this AI-driven tech boom is fundamentally different?
As AI's energy thirst grows, will our aging power grid become the ultimate bottleneck for the tech rally?
Can the Nasdaq Hit 30,000 by 2027? AI’s Role, Market Risks, and What Investors Need to Know
Overview
Wedbush analyst Dan Ives predicts the Nasdaq Composite could reach 30,000 by mid-2027, building on its strong performance of 26,247.08 in May 2026 and a 13% year-to-date gain. This bold outlook is driven by the ongoing momentum in the tech sector, fueled by transformative advancements in artificial intelligence. The surge in AI investments is a key catalyst, especially as AI continues to reshape the semiconductor industry. Notably, the PHLX Semiconductor Sector Index jumped 38% in just one month, highlighting the market’s enthusiasm and the significant impact of AI on technology stocks.