2026-05-29 16:51:52 | EST
News Anthropic’s $965 Billion Valuation Signals ‘Tip of the Spear’ in AI Rally, Wedbush’s Dan Ives Says
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Anthropic’s $965 Billion Valuation Signals ‘Tip of the Spear’ in AI Rally, Wedbush’s Dan Ives Says - Profit Guidance Range

Anthropic’s $965 Billion Valuation Signals ‘Tip of the Spear’ in AI Rally, Wedbush’s Dan Ives Says
News Analysis
AI Rally Data Layer - reflects ongoing discussions around financial markets, investor activity, and sector performance. Wedbush Securities analyst Dan Ives suggests Anthropic’s recent $965 billion valuation and $65 billion funding round may only be the beginning of a broader AI-driven market rally. He advises investors to look beyond frontier AI companies toward data-layer firms such as Snowflake, Datadog, and InnoData, and reiterates a call for the Nasdaq to reach 30,000 points by 2027.

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AI Rally Data Layer - reflects ongoing discussions around financial markets, investor activity, and sector performance. 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. Artificial‑intelligence startup Anthropic is zeroing in on a $1 trillion valuation after its latest funding round, but investor demand for AI companies could be just getting started, according to Wedbush Securities analyst Dan Ives. Speaking on CNBC’s “Squawk Box Europe” on Friday, Ives said, “For the first time in 30 years, the U.S. is ahead of China” on technology. He described Anthropic’s valuation of $965 billion — secured after raising $65 billion in funding on Thursday — as “just the tip of the spear” for the AI rally. Ives urged investors to turn their attention to “data layer” companies that support AI infrastructure, naming Snowflake, Datadog, and InnoData as examples. “Our view is the second, third, fourth derivative, just like we saw this week with Snowflake and Dell, is showing where the spending is,” he added. The analyst’s comments form part of a broader prediction that the Nasdaq could top 30,000 points by 2027, reiterating a call he made in earlier CNBC interviews. Ives is forecasting a “historic” period on Wall Street ahead of a raft of mega‑IPOs expected in 2026, though details of those listings remain unspecified in his latest remarks. Anthropic’s $965 Billion Valuation Signals ‘Tip of the Spear’ in AI Rally, Wedbush’s Dan Ives Says Diversification across asset classes reduces systemic risk. Combining equities, bonds, commodities, and alternative investments allows for smoother performance in volatile environments and provides multiple avenues for capital growth.Diversifying data sources reduces reliance on any single signal. This approach helps mitigate the risk of misinterpretation or error.Anthropic’s $965 Billion Valuation Signals ‘Tip of the Spear’ in AI Rally, Wedbush’s Dan Ives Says 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.Risk-adjusted performance metrics, such as Sharpe and Sortino ratios, are critical for evaluating strategy effectiveness. Professionals prioritize not just absolute returns, but consistency and downside protection in assessing portfolio performance.

Key Highlights

AI Rally Data Layer - reflects ongoing discussions around financial markets, investor activity, and sector performance. The integration of multiple datasets enables investors to see patterns that might not be visible in isolation. Cross-referencing information improves analytical depth. The key takeaway from Ives’ commentary is the potential shift in investor focus from leading AI model developers to the underlying infrastructure that powers AI workloads. By emphasizing data‑layer companies such as Snowflake, Datadog, and InnoData, Ives suggests that the most significant spending may occur not at the application layer but in the tools that manage, store, and analyze the massive datasets required by AI systems. His reference to Snowflake and Dell — both of which recently reported earnings that highlighted strong demand for AI‑related data services — reinforces the idea that enterprise spending on AI is broadening. The mention of a “second, third, fourth derivative” implies that the ripple effects of AI adoption could extend well beyond the initial wave of AI startups. Ives’ Nasdaq target of 30,000 points by 2027, if realized, would represent a roughly doubling from current levels (around 16,000–18,000 as of early 2026 based on market data). Such a forecast would likely rely on sustained capital inflows into technology stocks and continued expansion of AI‑driven productivity gains across sectors. Anthropic’s $965 Billion Valuation Signals ‘Tip of the Spear’ in AI Rally, Wedbush’s Dan Ives Says Some traders combine sentiment analysis from social media with traditional metrics. While unconventional, this approach can highlight emerging trends before they appear in official data.Scenario planning based on historical trends helps investors anticipate potential outcomes. They can prepare contingency plans for varying market conditions.Anthropic’s $965 Billion Valuation Signals ‘Tip of the Spear’ in AI Rally, Wedbush’s Dan Ives Says 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.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.

Expert Insights

AI Rally Data Layer - reflects ongoing discussions around financial markets, investor activity, and sector performance. Real-time updates can help identify breakout opportunities. Quick action is often required to capitalize on such movements. For investors, Ives’ observations suggest that the AI theme may have further room to run, but with a potential shift in which segments benefit most. The analyst’s focus on data‑layer companies rather than pure‑play AI developers indicates that the infrastructure underpinning AI — cloud platforms, data warehousing, monitoring, and analytics — could become an increasingly important part of the market narrative. The projected “historic” period and the anticipated mega‑IPOs in 2026 point to a possible wave of new issuances that could reshape the technology landscape. However, such predictions carry inherent uncertainty, as IPO markets depend on favorable macroeconomic conditions, interest‑rate trajectories, and investor risk appetite. While Ives’ outlook is notably bullish, market participants may want to weigh the potential for regulatory headwinds, competition from China, and the pace of AI monetization. The U.S. technological lead cited by Ives could face challenges as other nations ramp up their own AI initiatives. As always, any investment decisions should be based on individual research and risk tolerance. Disclaimer: This analysis is for informational purposes only and does not constitute investment advice. Anthropic’s $965 Billion Valuation Signals ‘Tip of the Spear’ in AI Rally, Wedbush’s Dan Ives Says The increasing availability of analytical tools has made it easier for individuals to participate in financial markets. However, understanding how to interpret the data remains a critical skill.Technical analysis can be enhanced by layering multiple indicators together. For example, combining moving averages with momentum oscillators often provides clearer signals than relying on a single tool. This approach can help confirm trends and reduce false signals in volatile markets.Anthropic’s $965 Billion Valuation Signals ‘Tip of the Spear’ in AI Rally, Wedbush’s Dan Ives Says Structured analytical approaches improve consistency. By combining historical trends, real-time updates, and predictive models, investors gain a comprehensive perspective.Traders often adjust their approach according to market conditions. During high volatility, data speed and accuracy become more critical than depth of analysis.
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