Dan Ives, a senior equity analyst at Wedbush Securities, predicts the Nasdaq Composite will rise to 30,000 points [1].
This projection suggests a significant expansion of the artificial intelligence rally, signaling confidence in the long-term profitability of the tech sector despite warnings of a market bubble. If realized, the climb would mark a substantial increase in the valuation of the U.S. stock market's tech-heavy index.
Ives said strong earnings from big-tech companies are a primary catalyst for this growth [4]. He said that continued enthusiasm for artificial-intelligence-related chip makers is fueling the current momentum [4]. This optimism comes as the market continues to validate the financial impact of AI integration across various industries.
Regarding the timeline for this milestone, reports vary. Bloomberg Television said the target could be reached within the next six to nine months [1], while NDTV Profit said the rise could occur over the next year [2].
Ives dismissed warnings regarding a potential bubble, such as those issued by Michael Burry, by pointing toward the tangible earnings reports from major technology firms [2]. The analyst said that the fundamental financial performance of these companies provides a floor for the current valuation surge.
The rally is specifically tied to the demand for AI infrastructure, where chip makers remain at the center of the investment cycle [4]. As big-tech firms increase their capital expenditure on AI, the index is expected to reflect that growth in a concentrated manner [4].
“The Nasdaq Composite will rise to 30,000 points”
This prediction highlights a divergence in market sentiment between 'bubble' theorists and fundamental analysts. By anchoring the 30,000-point target to corporate earnings rather than speculative momentum, Ives is arguing that the AI boom is backed by actual revenue growth. If the Nasdaq reaches this level, it would confirm that AI has moved from a conceptual trend to a primary driver of global equity valuations.
