AI Rally Tip Spear - part of real-time market coverage tracking financial trends and investor behavior. Wedbush Securities analyst Dan Ives suggests that Anthropic’s recent $965 billion valuation, following a $65 billion funding round, marks only the beginning of a broader AI-driven market rally. He highlights data-layer companies such as Snowflake as potential beneficiaries and reiterates a bold prediction for the Nasdaq to reach 30,000 points by 2027.
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AI Rally Tip Spear - part of real-time market coverage tracking financial trends and investor behavior. The availability of real-time information has increased competition among market participants. Faster access to data can provide a temporary advantage. In comments to CNBC’s “Squawk Box Europe” on Friday, Dan Ives pointed to Anthropic’s latest valuation of $965 billion—secured after the company raised $65 billion in funding the day prior—as “just the tip of the spear” for the artificial intelligence rally. According to Ives, “for the first time in 30 years, the U.S. is ahead of China” on technology, a shift he believes will fuel continued momentum in AI-related equities. The Wedbush analyst urged investors to turn their attention toward data-layer firms such as Snowflake, Datadog, and InnoData. He noted that “the second, third, fourth derivative” of the AI spending cycle is already visible, using Snowflake and Dell’s recent market movements as examples. “Just like we saw this week with Snowflake and Dell,” Ives said, “that is showing where the spending is.” His remarks form part of a broader forecast that calls for the Nasdaq Composite to surpass 30,000 points by 2027—a call he has repeated in previous CNBC interviews. Ives also described the coming period as “historic” for Wall Street, citing a slate of mega-IPOs expected in 2026.
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Key Highlights
AI Rally Tip Spear - part of real-time market coverage tracking financial trends and investor behavior. Predictive analytics are increasingly part of traders’ toolkits. By forecasting potential movements, investors can plan entry and exit strategies more systematically. Key takeaways from Ives’ assessment center on the evolving nature of AI investment. While Anthropic’s valuation has captured headlines, the analyst suggests that the biggest opportunities may lie further down the technology stack—specifically in companies that manage, store, or process the vast amounts of data required by AI models. The mention of Snowflake, Datadog, and InnoData as “data-layer” beneficiaries indicates that spending is shifting from foundational AI model builders to infrastructure and analytics providers. Ives’ assertion that the U.S. has regained a technological lead over China could have implications for sector allocation and geopolitical risk pricing. The prediction of a Nasdaq reaching 30,000 points by 2027—roughly double its current level—reflects a highly optimistic view of the next few years, underpinned by expectations of accelerated tech spending and a wave of high-profile IPOs. However, such a target remains a long-range forecast and is subject to macroeconomic and regulatory uncertainties.
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Expert Insights
AI Rally Tip Spear - part of real-time market coverage tracking financial trends and investor behavior. Investors increasingly view data as a supplement to intuition rather than a replacement. While analytics offer insights, experience and judgment often determine how that information is applied in real-world trading. Investment implications of Ives’ outlook should be considered with caution. The analyst’s emphasis on “second, third, fourth derivative” beneficiaries suggests that the AI sector’s expansion may create opportunities across a wider range of technology companies beyond the primary AI platform players. Data-layer firms, in particular, could see sustained demand as enterprises scale their AI deployments. At the same time, the predicted mega-IPOs in 2026 may increase market liquidity and broaden investor exposure to the AI theme. From a broader perspective, Ives’ positive stance aligns with a prevailing market narrative that views AI as a transformative force. However, actual outcomes will depend on factors such as regulatory developments, competitive dynamics, and the pace of enterprise adoption. The U.S.-China technology rivalry also introduces an element of unpredictability. Investors are advised to weigh these possibilities against their own risk tolerance and time horizons. Disclaimer: This analysis is for informational purposes only and does not constitute investment advice.
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