AI Data Layer Stocks - AI demand, semiconductor growth, and cloud expansion 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 - AI demand, semiconductor growth, and cloud expansion trends. Some investors find that using dashboards with aggregated market data helps streamline analysis. Instead of jumping between platforms, they can view multiple asset classes in one interface. This not only saves time but also highlights correlations that might otherwise go unnoticed. 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 Observing market cycles helps in timing investments more effectively. Recognizing phases of accumulation, expansion, and correction allows traders to position themselves strategically for both gains and risk management.Some investors prioritize simplicity in their tools, focusing only on key indicators. Others prefer detailed metrics to gain a deeper understanding of market dynamics.Wedbush’s Dan Ives: Anthropic’s $965 Billion Valuation Is ‘Tip of the Spear’ for AI Rally, Sees Focus on Data Layer Stocks Some investors prioritize clarity over quantity. While abundant data is useful, overwhelming dashboards may hinder quick decision-making.Economic policy announcements often catalyze market reactions. Interest rate decisions, fiscal policy updates, and trade negotiations influence investor behavior, requiring real-time attention and responsive adjustments in strategy.
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AI Data Layer Stocks - AI demand, semiconductor growth, and cloud expansion trends. Some investors rely on sentiment alongside traditional indicators. Early detection of behavioral trends can signal emerging opportunities. 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 updates allow for rapid adjustments in trading strategies. Investors can reallocate capital, hedge positions, or take profits quickly when unexpected market movements occur.While data access has improved, interpretation remains crucial. Traders may observe similar metrics but draw different conclusions depending on their strategy, risk tolerance, and market experience. Developing analytical skills is as important as having access to data.Wedbush’s Dan Ives: Anthropic’s $965 Billion Valuation Is ‘Tip of the Spear’ for AI Rally, Sees Focus on Data Layer Stocks The availability of real-time information has increased competition among market participants. Faster access to data can provide a temporary advantage.Predictive modeling for high-volatility assets requires meticulous calibration. Professionals incorporate historical volatility, momentum indicators, and macroeconomic factors to create scenarios that inform risk-adjusted strategies and protect portfolios during turbulent periods.
Expert Insights
AI Data Layer Stocks - AI demand, semiconductor growth, and cloud expansion trends. Many investors underestimate the psychological component of trading. Emotional reactions to gains and losses can cloud judgment, leading to impulsive decisions. Developing discipline, patience, and a systematic approach is often what separates consistently successful traders from the rest. 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 Seasonal and cyclical patterns remain relevant for certain asset classes. Professionals factor in recurring trends, such as commodity harvest cycles or fiscal year reporting periods, to optimize entry points and mitigate timing risk.Investors often monitor sector rotations to inform allocation decisions. Understanding which sectors are gaining or losing momentum helps optimize portfolios.Wedbush’s Dan Ives: Anthropic’s $965 Billion Valuation Is ‘Tip of the Spear’ for AI Rally, Sees Focus on Data Layer Stocks While technical indicators are often used to generate trading signals, they are most effective when combined with contextual awareness. For instance, a breakout in a stock index may carry more weight if macroeconomic data supports the trend. Ignoring external factors can lead to misinterpretation of signals and unexpected outcomes.While technical indicators are often used to generate trading signals, they are most effective when combined with contextual awareness. For instance, a breakout in a stock index may carry more weight if macroeconomic data supports the trend. Ignoring external factors can lead to misinterpretation of signals and unexpected outcomes.
