AI Rally Valuation Data Layer - follows ongoing US stock market trends, trading momentum, and investor sentiment. Wedbush Securities analyst Dan Ives identifies Anthropic’s near-$1 trillion valuation as just the beginning of a broader AI surge. He urges investors to focus on data layer companies like Snowflake and Datadog, and reiterates a prediction for the Nasdaq to surpass 30,000 points by 2027.
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AI Rally Valuation Data Layer - follows ongoing US stock market trends, trading momentum, and investor sentiment. Real-time data can highlight momentum shifts early. Investors who detect these changes quickly can capitalize on short-term opportunities. Anthropic is approaching a $1 trillion valuation after its latest funding round, but investor appetite for artificial intelligence companies may still be in its early stages, according to Wedbush Securities analyst Dan Ives. In a Friday interview on CNBC’s "Squawk Box Europe," Ives stated that "for the first time in 30 years, the U.S. is ahead of China" on technology, framing the current moment as a historic inflection point. Ives noted that Anthropic’s recently reported valuation of $965 billion, secured after obtaining $65 billion in funding on Thursday, is "just the tip of the spear." He suggested that investors should shift attention to "data layer" companies—such as Snowflake, Datadog, and InnoData—that could benefit from the underlying infrastructure supporting AI expansion. "Our view is the second, third, fourth derivative, just like we saw this week with Snowflake and Dell, is showing where the spending is," Ives added. These comments are part of a broader market outlook in which Ives has reiterated a call for the Nasdaq to surpass 30,000 points by 2027. He foresees a period he describes as "historic" for Wall Street, with a raft of mega initial public offerings expected to emerge in 2026.
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Key Highlights
AI Rally Valuation Data Layer - follows ongoing US stock market trends, trading momentum, and investor sentiment. Cross-market monitoring allows investors to see potential ripple effects. Commodity price swings, for example, may influence industrial or energy equities. Key takeaways from Ives’s analysis center on the potential for AI-related spending to ripple beyond individual high-valuation companies. By pointing to Snowflake and Dell as recent examples, Ives highlights where enterprise spending on AI infrastructure may be concentrating. The focus on "data layer" firms suggests that the next phase of the AI rally could involve companies providing the platforms and tools that enable data management and analytics, rather than just the frontier AI models themselves. Ives’s prediction for the Nasdaq to reach 30,000 by 2027 implies a roughly 50% increase from current levels, based on market data. This outlook, if realized, would represent a significant gain and would likely depend on sustained technology sector earnings growth and a favorable regulatory environment. The anticipated wave of mega-IPOs in 2026 could further fuel market momentum, though timing and valuations would be subject to broader economic conditions.
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Expert Insights
AI Rally Valuation Data Layer - follows ongoing US stock market trends, trading momentum, and investor sentiment. Market participants often refine their approach over time. Experience teaches them which indicators are most reliable for their style. The broader investment implications of Ives’s commentary suggest that the AI sector may continue to see elevated investor interest, but with potential rotation toward infrastructure and data-layer plays. While Anthropic’s valuation captures headlines, the market could reward companies that support AI scalability. However, such forecasts carry inherent uncertainty; Nasdaq reaching 30,000 by 2027 would depend on multiple factors including interest rates, geopolitical stability, and corporate earnings consistency. Ives’s assertion that the U.S. now leads China in technology may reflect shifting competitive dynamics, but dominance in any sector is rarely permanent. Investors should weigh these views alongside their own risk assessments. As always, forward-looking predictions involve multiple unknown variables, and past performance does not guarantee future results. Disclaimer: This analysis is for informational purposes only and does not constitute investment advice.
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