2026-05-29 17:51:30 | EST
News Anthropic's $965 Billion Valuation Marks 'Tip of the Spear' for AI Rally, Wedbush Analyst Says
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Anthropic's $965 Billion Valuation Marks 'Tip of the Spear' for AI Rally, Wedbush Analyst Says - Downward Estimate Revision

Anthropic's $965 Billion Valuation Marks 'Tip of the Spear' for AI Rally, Wedbush Analyst Says
News Analysis
AI Rally Data Layer - institutional accumulation, inflows, and hedge fund activity. Wedbush Securities analyst Dan Ives told CNBC that Anthropic's recent $65 billion funding round, which gave the AI company a $965 billion valuation, is only the beginning of a broader AI market rally. Ives highlighted data layer companies like Snowflake and Datadog as the next beneficiaries, and reiterated a call for the Nasdaq to top 30,000 points by 2027.

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AI Rally Data Layer - institutional accumulation, inflows, and hedge fund activity. 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. Wedbush Securities analyst Dan Ives commented on the accelerating AI boom, stating that Anthropic's latest funding round and valuation represent "just the tip of the spear" for the sector. Speaking on CNBC's "Squawk Box Europe" on Friday, Ives noted that "for the first time in 30 years, the U.S. is ahead of China" on technology, signaling a shift in global tech leadership. Anthropic recently secured $65 billion in funding, pushing its valuation to $965 billion and placing it on a trajectory toward a potential $1 trillion valuation. Ives argued that investor demand for AI companies is still in its early stages. He recommended that investors turn their attention to "data layer" firms, specifically naming Snowflake, Datadog, and InnoData. "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 added. His comments also reinforced a broader market outlook: Ives reiterated his prediction that the Nasdaq would top 30,000 points by 2027, a forecast he has made in previous CNBC interviews. He described the coming period as "historic" for Wall Street, pointing to a raft of mega-IPOs expected in 2026. Anthropic's $965 Billion Valuation Marks 'Tip of the Spear' for AI Rally, Wedbush Analyst Says 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.Real-time access to global market trends enhances situational awareness. Traders can better understand the impact of external factors on local markets.Anthropic's $965 Billion Valuation Marks 'Tip of the Spear' for AI Rally, Wedbush Analyst Says Diversifying data sources reduces reliance on any single signal. This approach helps mitigate the risk of misinterpretation or error.Some traders adopt a mix of automated alerts and manual observation. This approach balances efficiency with personal insight.

Key Highlights

AI Rally Data Layer - institutional accumulation, inflows, and hedge fund activity. Some investors rely heavily on automated tools and alerts to capture market opportunities. While technology can help speed up responses, human judgment remains necessary. Reviewing signals critically and considering broader market conditions helps prevent overreactions to minor fluctuations. The key takeaway from Ives’ analysis is that the AI investment cycle may have only just begun, with the infrastructure and data layers poised to capture the next wave of spending. Companies like Snowflake and Datadog, which provide data storage, monitoring, and analytics, could see increased demand as enterprises scale their AI operations. Dell, also mentioned, represents the hardware backbone supporting these initiatives. Ives’ emphasis on "second, third, fourth derivative" spending suggests that the initial rally in AI stocks—driven by large language model developers—might eventually broaden to include firms enabling AI deployment and management. The analyst’s reference to the U.S. being ahead of China on technology for the first time in three decades could imply a sustained competitive advantage for U.S.-listed tech companies. The prediction of the Nasdaq reaching 30,000 points by 2027, while ambitious, reflects Ives’ belief that the current AI-driven bull market may have substantial room to run, supported by upcoming IPOs and sustained capital inflows. Anthropic's $965 Billion Valuation Marks 'Tip of the Spear' for AI Rally, Wedbush Analyst Says 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.Predictive analytics are increasingly used to estimate potential returns and risks. Investors use these forecasts to inform entry and exit strategies.Anthropic's $965 Billion Valuation Marks 'Tip of the Spear' for AI Rally, Wedbush Analyst Says Combining qualitative news analysis with quantitative modeling provides a competitive advantage. Understanding narrative drivers behind price movements enhances the precision of forecasts and informs better timing of strategic trades.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.

Expert Insights

AI Rally Data Layer - institutional accumulation, inflows, and hedge fund activity. Real-time data enables better timing for trades. Whether entering or exiting a position, having immediate information can reduce slippage and improve overall performance. From an investment perspective, Ives’ comments suggest that the AI theme could extend beyond the most obvious beneficiaries. The focus on data layer companies indicates that the next phase of AI growth might involve the infrastructure that powers model deployment and data management, rather than just model development itself. However, such predictions involve substantial uncertainty. Investors should note that market conditions, regulatory changes, and competitive dynamics could significantly alter the trajectory. The prospect of a Nasdaq at 30,000 points by 2027 implies a near doubling from current levels, which would require sustained high growth rates across the technology sector. The expected mega-IPOs in 2026 may add liquidity and new opportunities, but also potential volatility. As always, these analyst views represent one perspective in a complex market. The AI sector continues to evolve rapidly, and valuations remain elevated. Cautious risk management and diversification would likely be prudent when considering exposure to this theme. Disclaimer: This analysis is for informational purposes only and does not constitute investment advice. Anthropic's $965 Billion Valuation Marks 'Tip of the Spear' for AI Rally, Wedbush Analyst Says Real-time market tracking has made day trading more feasible for individual investors. Timely data reduces reaction times and improves the chance of capitalizing on short-term movements.Investors who keep detailed records of past trades often gain an edge over those who do not. Reviewing successes and failures allows them to identify patterns in decision-making, understand what strategies work best under certain conditions, and refine their approach over time.Anthropic's $965 Billion Valuation Marks 'Tip of the Spear' for AI Rally, Wedbush Analyst Says 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.Diversifying information sources enhances decision-making accuracy. Professional investors integrate quantitative metrics, macroeconomic reports, sector analyses, and sentiment indicators to develop a comprehensive understanding of market conditions. This multi-source approach reduces reliance on a single perspective.
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