AI Data Layer Stocks - highlights real-time developments influencing market sentiment and trading conditions. 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 - highlights real-time developments influencing market sentiment and trading conditions. 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 Data integration across platforms has improved significantly in recent years. This makes it easier to analyze multiple markets simultaneously.Traders often adjust their approach according to market conditions. During high volatility, data speed and accuracy become more critical than depth of analysis.Wedbush’s Dan Ives: Anthropic’s $965 Billion Valuation Is ‘Tip of the Spear’ for AI Rally, Sees Focus on Data Layer Stocks Combining global perspectives with local insights provides a more comprehensive understanding. Monitoring developments in multiple regions helps investors anticipate cross-market impacts and potential opportunities.Historical volatility is often combined with live data to assess risk-adjusted returns. This provides a more complete picture of potential investment outcomes.
Key Highlights
AI Data Layer Stocks - highlights real-time developments influencing market sentiment and trading conditions. Monitoring global indices can help identify shifts in overall sentiment. These changes often influence individual stocks. 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 Analyzing trading volume alongside price movements provides a deeper understanding of market behavior. High volume often validates trends, while low volume may signal weakness. Combining these insights helps traders distinguish between genuine shifts and temporary anomalies.Some traders use alerts strategically to reduce screen time. By focusing only on critical thresholds, they balance efficiency with responsiveness.Wedbush’s Dan Ives: Anthropic’s $965 Billion Valuation Is ‘Tip of the Spear’ for AI Rally, Sees Focus on Data Layer Stocks Maintaining detailed trade records is a hallmark of disciplined investing. Reviewing historical performance enables professionals to identify successful strategies, understand market responses, and refine models for future trades. Continuous learning ensures adaptive and informed decision-making.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 - highlights real-time developments influencing market sentiment and trading conditions. Professionals emphasize the importance of trend confirmation. A signal is more reliable when supported by volume, momentum indicators, and macroeconomic alignment, reducing the likelihood of acting on transient or false patterns. 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 Many investors adopt a risk-adjusted approach to trading, weighing potential returns against the likelihood of loss. Understanding volatility, beta, and historical performance helps them optimize strategies while maintaining portfolio stability under different market conditions.Some traders use alerts strategically to reduce screen time. By focusing only on critical thresholds, they balance efficiency with responsiveness.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 data also aids in risk management. Investors can set thresholds or stop-loss orders more effectively with timely information.Some traders prefer automated insights, while others rely on manual analysis. Both approaches have their advantages.