AI Data Layer Stocks - sector rotation, market leadership, and trend analysis. 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 - sector rotation, market leadership, and trend analysis. Many investors now incorporate global news and macroeconomic indicators into their market analysis. Events affecting energy, metals, or agriculture can influence equities indirectly, making comprehensive awareness critical. 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 Alerts help investors monitor critical levels without constant screen time. They provide convenience while maintaining responsiveness.Historical precedent combined with forward-looking models forms the basis for strategic planning. Experts leverage patterns while remaining adaptive, recognizing that markets evolve and that no model can fully replace contextual judgment.Wedbush’s Dan Ives: Anthropic’s $965 Billion Valuation Is ‘Tip of the Spear’ for AI Rally, Sees Focus on Data Layer Stocks Monitoring multiple indices simultaneously helps traders understand relative strength and weakness across markets. This comparative view aids in asset allocation decisions.Combining technical analysis with market data provides a multi-dimensional view. Some traders use trend lines, moving averages, and volume alongside commodity and currency indicators to validate potential trade setups.
Key Highlights
AI Data Layer Stocks - sector rotation, market leadership, and trend analysis. 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. 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 Scenario analysis and stress testing are essential for long-term portfolio resilience. Modeling potential outcomes under extreme market conditions allows professionals to prepare strategies that protect capital while exploiting emerging opportunities.Monitoring global market interconnections is increasingly important in today’s economy. Events in one country often ripple across continents, affecting indices, currencies, and commodities elsewhere. Understanding these linkages can help investors anticipate market reactions and adjust their strategies proactively.Wedbush’s Dan Ives: Anthropic’s $965 Billion Valuation Is ‘Tip of the Spear’ for AI Rally, Sees Focus on Data Layer Stocks Risk management is often overlooked by beginner investors who focus solely on potential gains. Understanding how much capital to allocate, setting stop-loss levels, and preparing for adverse scenarios are all essential practices that protect portfolios and allow for sustainable growth even in volatile conditions.Real-time data enables better timing for trades. Whether entering or exiting a position, having immediate information can reduce slippage and improve overall performance.
Expert Insights
AI Data Layer Stocks - sector rotation, market leadership, and trend analysis. Observing trading volume alongside price movements can reveal underlying strength. Volume often confirms or contradicts trends. 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 based on historical trends helps investors anticipate potential outcomes. They can prepare contingency plans for varying market conditions.Many investors appreciate flexibility in analytical platforms. Customizable dashboards and alerts allow strategies to adapt to evolving market conditions.Wedbush’s Dan Ives: Anthropic’s $965 Billion Valuation Is ‘Tip of the Spear’ for AI Rally, Sees Focus on Data Layer Stocks A systematic approach to portfolio allocation helps balance risk and reward. Investors who diversify across sectors, asset classes, and geographies often reduce the impact of market shocks and improve the consistency of returns over time.Analytical platforms increasingly offer customization options. Investors can filter data, set alerts, and create dashboards that align with their strategy and risk appetite.
