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 - Preliminary Results

Anthropic’s $965 Billion Valuation Signals ‘Tip of the Spear’ in AI Rally, Wedbush’s Dan Ives Says
News Analysis
AI Rally Data Layer - follows broader market developments shaping trading momentum and investor outlook. 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 - follows broader market developments shaping trading momentum and investor outlook. Market behavior is often influenced by both short-term noise and long-term fundamentals. Differentiating between temporary volatility and meaningful trends is essential for maintaining a disciplined trading approach. 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 Some traders prefer automated insights, while others rely on manual analysis. Both approaches have their advantages.Investors often rely on a combination of real-time data and historical context to form a balanced view of the market. By comparing current movements with past behavior, they can better understand whether a trend is sustainable or temporary.Anthropic’s $965 Billion Valuation Signals ‘Tip of the Spear’ in AI Rally, Wedbush’s Dan Ives Says Macro trends, such as shifts in interest rates, inflation, and fiscal policy, have profound effects on asset allocation. Professionals emphasize continuous monitoring of these variables to anticipate sector rotations and adjust strategies proactively rather than reactively.Real-time news monitoring complements numerical analysis. Sudden regulatory announcements, earnings surprises, or geopolitical developments can trigger rapid market movements. Staying informed allows for timely interventions and adjustment of portfolio positions.

Key Highlights

AI Rally Data Layer - follows broader market developments shaping trading momentum and investor outlook. The availability of real-time information has increased competition among market participants. Faster access to data can provide a temporary advantage. 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 Observing correlations across asset classes can improve hedging strategies. Traders may adjust positions in one market to offset risk in another.Stress-testing investment strategies under extreme conditions is a hallmark of professional discipline. By modeling worst-case scenarios, experts ensure capital preservation and identify opportunities for hedging and risk mitigation.Anthropic’s $965 Billion Valuation Signals ‘Tip of the Spear’ in AI Rally, Wedbush’s Dan Ives Says 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 track short-term indicators to complement long-term strategies. The combination offers insights into immediate market shifts and overarching trends.

Expert Insights

AI Rally Data Layer - follows broader market developments shaping trading momentum and investor outlook. Cross-asset analysis helps identify hidden opportunities. Traders can capitalize on relationships between commodities, equities, and currencies. 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 Traders often combine multiple technical indicators for confirmation. Alignment among metrics reduces the likelihood of false signals.Real-time monitoring of multiple asset classes can help traders manage risk more effectively. By understanding how commodities, currencies, and equities interact, investors can create hedging strategies or adjust their positions quickly.Anthropic’s $965 Billion Valuation Signals ‘Tip of the Spear’ in AI Rally, Wedbush’s Dan Ives Says Access to reliable, continuous market data is becoming a standard among active investors. It allows them to respond promptly to sudden shifts, whether in stock prices, energy markets, or agricultural commodities. The combination of speed and context often distinguishes successful traders from the rest.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.
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