2026-05-29 14:52:05 | EST
News Dan Ives: Anthropic’s $965 Billion Valuation May Signal Broader AI Infrastructure Boom
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Dan Ives: Anthropic’s $965 Billion Valuation May Signal Broader AI Infrastructure Boom - Annual Earnings Summary

Dan Ives: Anthropic’s $965 Billion Valuation May Signal Broader AI Infrastructure Boom
News Analysis
AI Rally Data Layer Impact - part of continuous US equities coverage monitoring market trends and reactions. Wedbush Securities analyst Dan Ives suggests that Anthropic’s recent $65 billion funding round and $965 billion valuation could be “just the tip of the spear” for a broader artificial intelligence rally. Ives points to data layer companies such as Snowflake, Datadog, and InnoData as potential beneficiaries of escalating AI spending, while also reiterating his prediction for the Nasdaq to reach 30,000 points by 2027.

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AI Rally Data Layer Impact - part of continuous US equities coverage monitoring market trends and reactions. Historical trends often serve as a baseline for evaluating current market conditions. Traders may identify recurring patterns that, when combined with live updates, suggest likely scenarios. Anthropic is reportedly approaching a $1 trillion valuation after securing $65 billion in funding on Thursday, according to Wedbush Securities analyst Dan Ives. Speaking on CNBC’s “Squawk Box Europe” on Friday, Ives stated that “for the first time in 30 years, the U.S. is ahead of China” on technology, a factor he believes could further fuel investor enthusiasm for AI companies. Ives described Anthropic’s latest valuation of approximately $965 billion as “just the tip of the spear,” indicating that the broader AI ecosystem may still see significant growth. He advised investors to turn their attention to “data layer” companies, specifically naming Snowflake, Datadog, and InnoData. According to Ives, these firms represent the “second, third, fourth derivative” of AI spending, citing recent activity at Snowflake and Dell as evidence of where capital is flowing. The analyst’s comments are part of a larger forecast for the Nasdaq to surpass 30,000 points by 2027, a call he has repeated in previous CNBC interviews. Ives also expects a “historic” period on Wall Street ahead of a series of mega-IPOs slated for 2026. Dan Ives: Anthropic’s $965 Billion Valuation May Signal Broader AI Infrastructure Boom 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.Cross-market monitoring is particularly valuable during periods of high volatility. Traders can observe how changes in one sector might impact another, allowing for more proactive risk management.Dan Ives: Anthropic’s $965 Billion Valuation May Signal Broader AI Infrastructure Boom Real-time data analysis is indispensable in today’s fast-moving markets. Access to live updates on stock indices, futures, and commodity prices enables precise timing for entries and exits. Coupling this with predictive modeling ensures that investment decisions are both responsive and strategically grounded.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.

Key Highlights

AI Rally Data Layer Impact - part of continuous US equities coverage monitoring market trends and reactions. Diversifying the type of data analyzed can reduce exposure to blind spots. For instance, tracking both futures and energy markets alongside equities can provide a more complete picture of potential market catalysts. Key takeaways from Ives’ analysis center on the idea that AI investment may be accelerating beyond the core companies directly building large language models. The focus on data infrastructure suggests that firms providing storage, monitoring, and processing capabilities could be poised to capture a significant share of AI-related spending. Ives’ reference to Snowflake and Dell’s recent market performance implies that enterprise spending on AI-enabling technologies is already gaining momentum. His mention of InnoData, a lesser-known data platform, could indicate that investors may need to look beyond the largest AI names for growth opportunities. The prediction of a Nasdaq rally to 30,000 points—nearly double its current level—reflects a highly optimistic outlook for the technology sector over the next few years. The analyst’s timeline for upcoming IPOs in 2026 suggests that the current private AI funding wave could eventually translate into a wave of public listings, potentially broadening the investment universe for retail and institutional investors alike. Dan Ives: Anthropic’s $965 Billion Valuation May Signal Broader AI Infrastructure Boom 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.Real-time updates allow for rapid adjustments in trading strategies. Investors can reallocate capital, hedge positions, or take profits quickly when unexpected market movements occur.Dan Ives: Anthropic’s $965 Billion Valuation May Signal Broader AI Infrastructure Boom Diversifying data sources reduces reliance on any single signal. This approach helps mitigate the risk of misinterpretation or error.Professionals often track the behavior of institutional players. Large-scale trades and order flows can provide insight into market direction, liquidity, and potential support or resistance levels, which may not be immediately evident to retail investors.

Expert Insights

AI Rally Data Layer Impact - part of continuous US equities coverage monitoring market trends and reactions. Experts often combine real-time analytics with historical benchmarks. Comparing current price behavior to historical norms, adjusted for economic context, allows for a more nuanced interpretation of market conditions and enhances decision-making accuracy. From an investment perspective, Ives’ remarks highlight the potential for continued expansion in the AI sector, though the magnitude of his predictions—such as the Nasdaq tripling by 2027—would likely require exceptionally strong earnings growth across technology companies. While the analyst’s track record includes high-profile calls on tech stocks, such forecasts should be weighed against historical market cycles and the inherent uncertainty of long-term projections. The emphasis on “data layer” companies could be a useful lens for investors seeking exposure to AI that is not concentrated in the largest cloud providers or chipmakers. However, it remains to be seen whether the spending patterns observed in companies like Snowflake and Dell will sustain their momentum. The upcoming IPO pipeline for 2026 may provide additional opportunities, but valuations at entry points will be critical. As with any sector-specific thesis, diversification and careful risk assessment are important considerations. The AI rally may continue, but the pace of adoption, regulatory developments, and competitive dynamics could shape outcomes in ways that are difficult to predict. Disclaimer: This analysis is for informational purposes only and does not constitute investment advice. Dan Ives: Anthropic’s $965 Billion Valuation May Signal Broader AI Infrastructure Boom The increasing availability of commodity data allows equity traders to track potential supply chain effects. Shifts in raw material prices often precede broader market movements.Predictive tools often serve as guidance rather than instruction. Investors interpret recommendations in the context of their own strategy and risk appetite.Dan Ives: Anthropic’s $965 Billion Valuation May Signal Broader AI Infrastructure Boom Investors often balance quantitative and qualitative inputs to form a complete view. While numbers reveal measurable trends, understanding the narrative behind the market helps anticipate behavior driven by sentiment or expectations.High-frequency data monitoring enables timely responses to sudden market events. Professionals use advanced tools to track intraday price movements, identify anomalies, and adjust positions dynamically to mitigate risk and capture opportunities.
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