AI Data Layer Stocks - tracks ongoing Wall Street activity, market momentum, and investor expectations. 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 - tracks ongoing Wall Street activity, market momentum, and investor expectations. Visualization tools simplify complex datasets. Dashboards highlight trends and anomalies that might otherwise be missed. 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 Some traders focus on short-term price movements, while others adopt long-term perspectives. Both approaches can benefit from real-time data, but their interpretation and application differ significantly.Some investors integrate AI models to support analysis. The human element remains essential for interpreting outputs contextually.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 is a key component of professional investment strategies. By modeling potential market outcomes under varying economic conditions, investors can prepare contingency plans that safeguard capital and optimize risk-adjusted returns. This approach reduces exposure to unforeseen market shocks.Cross-market monitoring allows investors to see potential ripple effects. Commodity price swings, for example, may influence industrial or energy equities.
Key Highlights
AI Data Layer Stocks - tracks ongoing Wall Street activity, market momentum, and investor expectations. Real-time data enables better timing for trades. Whether entering or exiting a position, having immediate information can reduce slippage and improve overall performance. 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 Combining qualitative news with quantitative metrics often improves overall decision quality. Market sentiment, regulatory changes, and global events all influence outcomes.Some traders prefer automated insights, while others rely on manual analysis. Both approaches have their advantages.Wedbush’s Dan Ives: Anthropic’s $965 Billion Valuation Is ‘Tip of the Spear’ for AI Rally, Sees Focus on Data Layer Stocks Observing trading volume alongside price movements can reveal underlying strength. Volume often confirms or contradicts trends.Experienced traders often develop contingency plans for extreme scenarios. Preparing for sudden market shocks, liquidity crises, or rapid policy changes allows them to respond effectively without making impulsive decisions.
Expert Insights
AI Data Layer Stocks - tracks ongoing Wall Street activity, market momentum, and investor expectations. 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. 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 Volatility can present both risks and opportunities. Investors who manage their exposure carefully while capitalizing on price swings often achieve better outcomes than those who react emotionally.Historical price patterns can provide valuable insights, but they should always be considered alongside current market dynamics. Indicators such as moving averages, momentum oscillators, and volume trends can validate trends, but their predictive power improves significantly when combined with macroeconomic context and real-time market intelligence.Wedbush’s Dan Ives: Anthropic’s $965 Billion Valuation Is ‘Tip of the Spear’ for AI Rally, Sees Focus on Data Layer Stocks The interpretation of data often depends on experience. New investors may focus on different signals compared to seasoned traders.Some traders rely on alerts to track key thresholds, allowing them to react promptly without monitoring every minute of the trading day. This approach balances convenience with responsiveness in fast-moving markets.