‘The haters will hate': Dan Ives predicts Nasdaq 30,000 as AI rally expands

• The Nasdaq's semiconductor index has surged 38% over the past month, with chip demand outstripping supply by a 10-to-1 ratio according to Ives
• Ives recommends diversified exposure across AI subsectors including hyperscalers, chips, software, cybersecurity, infrastructure, and power rather than single-sector plays
• Michael Burry warned the AI-focused market rally resembles the late 1999-2000 bubble, but Ives projects the AI rally will continue for another two years

Summary

Wedbush Securities' Dan Ives predicts the Nasdaq will reach 30,000 points within the next year, driven by continued AI momentum and strong tech earnings. The Nasdaq Composite closed at 26,247.08 on Friday, up 12.93% year-to-date.

Key Points

Market Forecast: Ives maintains his bullish stance, expecting the AI rally to extend for another two years despite criticism. He describes the current environment as a "memory super-cycle" with chip demand outstripping supply by a 10-to-1 ratio.

Earnings Validation: A robust tech earnings season has transformed earlier investor concerns into enthusiasm around AI infrastructure spending. Ives states, "These earnings have validated the AI bullish thesis."

Sector Performance: The PHLX Semiconductor Sector Index has surged 38% over the past month, with major chip companies posting double-digit growth.

Investment Strategy: Ives recommends diversification across the AI ecosystem, including hyperscalers, chips, software, cybersecurity, infrastructure, and power sectors rather than concentrating on a single subsector.

Contrarian Views: Michael Burry warned the AI fixation resembles the 1999-2000 dot-com bubble, suggesting stocks are rising simply because "they have been going straight up" on a two-letter thesis. However, Paul Tudor Jones acknowledged the bull market has room to run despite potential future valuation corrections.

Market Context: The rally reflects unprecedented demand for memory chips and AI infrastructure buildout, positioning the market in what Ives characterizes as the "early days" of the AI revolution.