2026-05-29 12:56:30 | EST
News Wedbush’s Dan Ives: Anthropic’s $965 Billion Valuation Is ‘Tip of the Spear’ for AI Rally, Sees Focus on Data Layer Stocks
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Wedbush’s Dan Ives: Anthropic’s $965 Billion Valuation Is ‘Tip of the Spear’ for AI Rally, Sees Focus on Data Layer Stocks - EBITDA Margin Trends

Wedbush’s Dan Ives: Anthropic’s $965 Billion Valuation Is ‘Tip of the Spear’ for AI Rally, Sees Focu
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AI Data Layer Stocks - consumer spending, inflation pressure, and demand trends. Wedbush Securities analyst Dan Ives believes Anthropic’s nearly $1 trillion valuation is just the beginning of a broader AI investment wave. He told CNBC that the US now leads China in technology for the first time in 30 years, and recommended investors focus on data infrastructure companies like Snowflake, Datadog, and InnoData. Ives also reiterated his call for the Nasdaq to reach 30,000 points by 2027, forecasting a historic period ahead of mega-IPOs in 2026.

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AI Data Layer Stocks - consumer spending, inflation pressure, and demand trends. Historical volatility is often combined with live data to assess risk-adjusted returns. This provides a more complete picture of potential investment outcomes. Anthropic has reportedly achieved a valuation of approximately $965 billion after securing $65 billion in a recent funding round, pushing the AI startup closer to the trillion-dollar mark. In an interview with CNBC’s “Squawk Box Europe” on Friday, Wedbush Securities analyst Dan Ives said that this milestone is merely “just the tip of the spear” for the AI rally, suggesting that investor demand for AI companies is still in its early stages. Ives noted that “for the first time in 30 years, the U.S. is ahead of China” on technology, a shift he sees as a key driver for future investments. He urged investors to broaden their focus beyond frontier AI models and turn attention to “data layer” companies, specifically naming Snowflake, Datadog, and InnoData as firms that could benefit from AI infrastructure spending. He pointed to recent performances from Snowflake and Dell as evidence of where corporate spending is accelerating, saying, “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’ comments are part of a broader market outlook he has shared in previous CNBC interviews, predicting the Nasdaq Composite will top 30,000 points by 2027. He also described the upcoming period as “historic” for Wall Street, citing a pipeline of mega-IPOs expected in 2026. Wedbush’s Dan Ives: Anthropic’s $965 Billion Valuation Is ‘Tip of the Spear’ for AI Rally, Sees Focus on Data Layer Stocks Cross-asset analysis helps identify hidden opportunities. Traders can capitalize on relationships between commodities, equities, and currencies.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.Wedbush’s Dan Ives: Anthropic’s $965 Billion Valuation Is ‘Tip of the Spear’ for AI Rally, Sees Focus on Data Layer Stocks Combining technical and fundamental analysis allows for a more holistic view. Market patterns and underlying financials both contribute to informed decisions.Cross-asset analysis provides insight into how shifts in one market can influence another. For instance, changes in oil prices may affect energy stocks, while currency fluctuations can impact multinational companies. Recognizing these interdependencies enhances strategic planning.

Key Highlights

AI Data Layer Stocks - consumer spending, inflation pressure, and demand trends. Some investors use scenario analysis to anticipate market reactions under various conditions. This method helps in preparing for unexpected outcomes and ensures that strategies remain flexible and resilient. A key takeaway from Ives’ analysis is that the AI investment cycle may be deepening beyond the initial wave of large language model builders. While Anthropic’s sky-high valuation captures headlines, Ives suggests that the real growth potential lies in the infrastructure layer—companies that provide the data storage, processing, and analytics capabilities needed to support AI applications. This perspective could have significant market implications. If corporate spending on AI continues to expand, firms like Snowflake (data cloud), Datadog (monitoring and analytics), and InnoData (data infrastructure) may see increased demand for their services. Ives’ mention of Dell also highlights the role of hardware and enterprise solutions in this ecosystem. However, investors should note that many of these stocks have already experienced substantial gains, and valuations may reflect elevated expectations. The broader context includes Ives’ bullish call on the Nasdaq reaching 30,000 points by 2027—a roughly 80% increase from current levels based on market data. Such an outlook implies sustained growth in technology stocks, though it remains a forecast subject to macroeconomic conditions, geopolitical factors, and execution risks. Wedbush’s Dan Ives: Anthropic’s $965 Billion Valuation Is ‘Tip of the Spear’ for AI Rally, Sees Focus on Data Layer Stocks Real-time monitoring of multiple asset classes allows for proactive adjustments. Experts track equities, bonds, commodities, and currencies in parallel, ensuring that portfolio exposure aligns with evolving market conditions.Predictive analytics are increasingly part of traders’ toolkits. By forecasting potential movements, investors can plan entry and exit strategies more systematically.Wedbush’s Dan Ives: Anthropic’s $965 Billion Valuation Is ‘Tip of the Spear’ for AI Rally, Sees Focus on Data Layer Stocks Scenario analysis based on historical volatility informs strategy adjustments. Traders can anticipate potential drawdowns and gains.Observing correlations across asset classes can improve hedging strategies. Traders may adjust positions in one market to offset risk in another.

Expert Insights

AI Data Layer Stocks - consumer spending, inflation pressure, and demand trends. Predictive analytics combined with historical benchmarks increases forecasting accuracy. Experts integrate current market behavior with long-term patterns to develop actionable strategies while accounting for evolving market structures. From an investment perspective, the AI landscape may continue to present opportunities, but diversification and caution are warranted. Ives’ recommendation to look at data layer companies suggests that the AI theme could broaden beyond a handful of high-profile names. However, no single forecast or analyst opinion should be taken as a guarantee of future performance. The potential for mega-IPOs in 2026 could further reshape the technology sector, possibly introducing new competitors and investment avenues. Yet the timing and valuations of such IPOs remain uncertain. Meanwhile, the rivalry between the US and China in AI adds a geopolitical dimension that could influence market dynamics—Ives’ assertion of US leadership, while optimistic, may evolve as both nations continue to invest heavily. Investors considering exposure to AI-related stocks might weigh the risks of high valuations against the possible long-term growth trajectory. The cautious approach would be to monitor earnings and spending trends among data infrastructure companies, as well as broader tech sector performance. As always, individual financial goals and risk tolerance should guide decisions. Disclaimer: This analysis is for informational purposes only and does not constitute investment advice. Wedbush’s Dan Ives: Anthropic’s $965 Billion Valuation Is ‘Tip of the Spear’ for AI Rally, Sees Focus on Data Layer Stocks Scenario planning prepares investors for unexpected volatility. Multiple potential outcomes allow for preemptive adjustments.High-frequency data monitoring enables timely responses to sudden market events. Professionals use advanced tools to track intraday price movements, identify anomalies, and adjust positions dynamically to mitigate risk and capture opportunities.Wedbush’s Dan Ives: Anthropic’s $965 Billion Valuation Is ‘Tip of the Spear’ for AI Rally, Sees Focus on Data Layer Stocks Market behavior is often influenced by both short-term noise and long-term fundamentals. Differentiating between temporary volatility and meaningful trends is essential for maintaining a disciplined trading approach.Some investors integrate AI models to support analysis. The human element remains essential for interpreting outputs contextually.
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