Wedbush’s Dan Ives: Anthropic’s $965 Billion Valuation Is ‘Tip of the Spear’ for AI Rally, Sees Focus on Data Layer Stocks - Earnings Quality Score

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AI Data Layer Stocks - reflects changing financial market conditions and broader investor sentiment. Access to multiple perspectives can help refine investment strategies. Traders who consult different data sources often avoid relying on a single signal, reducing the risk of following false trends. 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 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.Traders often combine multiple technical indicators for confirmation. Alignment among metrics reduces the likelihood of false signals.Wedbush’s Dan Ives: Anthropic’s $965 Billion Valuation Is ‘Tip of the Spear’ for AI Rally, Sees Focus on Data Layer Stocks Understanding macroeconomic cycles enhances strategic investment decisions. Expansionary periods favor growth sectors, whereas contraction phases often reward defensive allocations. Professional investors align tactical moves with these cycles to optimize returns.Some traders find that integrating multiple markets improves decision-making. Observing correlations provides early warnings of potential shifts.

Key Highlights

AI Data Layer Stocks - reflects changing financial market conditions and broader investor sentiment. Some investors focus on macroeconomic indicators alongside market data. Factors such as interest rates, inflation, and commodity prices often play a role in shaping broader trends. 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 data also aids in risk management. Investors can set thresholds or stop-loss orders more effectively with timely information.Traders often combine multiple technical indicators for confirmation. Alignment among metrics reduces the likelihood of false signals.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.Some traders adopt a mix of automated alerts and manual observation. This approach balances efficiency with personal insight.

Expert Insights

AI Data Layer Stocks - reflects changing financial market conditions and broader investor sentiment. Investors may use data visualization tools to better understand complex relationships. Charts and graphs often make trends easier to identify. 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 Quantitative models are powerful tools, yet human oversight remains essential. Algorithms can process vast datasets efficiently, but interpreting anomalies and adjusting for unforeseen events requires professional judgment. Combining automated analytics with expert evaluation ensures more reliable outcomes.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.Wedbush’s Dan Ives: Anthropic’s $965 Billion Valuation Is ‘Tip of the Spear’ for AI Rally, Sees Focus on Data Layer Stocks Monitoring the spread between related markets can reveal potential arbitrage opportunities. For instance, discrepancies between futures contracts and underlying indices often signal temporary mispricing, which can be leveraged with proper risk management and execution discipline.Scenario-based stress testing is essential for identifying vulnerabilities. Experts evaluate potential losses under extreme conditions, ensuring that risk controls are robust and portfolios remain resilient under adverse scenarios.