AI Rally Data Infrastructure - earnings season, guidance updates, and market reactions. Anthropic is approaching a valuation near $1 trillion following its latest $65 billion funding round, but Wedbush Securities analyst Dan Ives suggests this marks only the beginning of a larger AI-driven market surge. Ives, speaking on CNBC, highlighted that investor attention may shift toward data-layer infrastructure companies as the next beneficiaries of sustained AI spending.
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AI Rally Data Infrastructure - earnings season, guidance updates, and market reactions. Some traders combine sentiment analysis with quantitative models. While unconventional, this approach can uncover market nuances that raw data misses. Anthropic is zeroing in on a valuation of approximately $1 trillion after concluding another successful funding round, according to Wedbush Securities analyst Dan Ives. 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, placing it in a strong position to lead the ongoing AI transformation. Ives characterized Anthropic's latest valuation of $965 billion, achieved after securing $65 billion in funding on Thursday, as "just the tip of the spear." He suggested that investors should turn their attention to data-layer companies, specifically naming Snowflake, Datadog, and InnoData as potential beneficiaries of the next wave of AI spending. According to Ives, "the second, third, fourth derivative" of AI investment — as observed this week with Snowflake and Dell — indicates where enterprise spending is flowing. Ives also reiterated a broader market prediction, forecasting that the Nasdaq could top 30,000 points by 2027. This projection forms part of a longer-term outlook he has previously shared in interviews with CNBC. He described the upcoming period as potentially "historic" for Wall Street, particularly ahead of a slate of mega-IPOs expected in 2026.
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Key Highlights
AI Rally Data Infrastructure - earnings season, guidance updates, and market reactions. Some investors use trend-following techniques alongside live updates. This approach balances systematic strategies with real-time responsiveness. The key takeaway from Ives's remarks is that the AI investment cycle may be broader and more sustained than initially expected. While Anthropic's valuation acts as a headline-grabbing milestone, the more significant opportunity might lie in infrastructure and data-layer companies that support AI workloads and operations. Companies like Snowflake, Datadog, and InnoData could see increased demand as enterprises deploy AI applications at scale. Ives's comments also suggest a shifting competitive dynamic in global technology. His assertion that the U.S. is currently ahead of China on technology for the first time in three decades implies that American AI firms and their ecosystem partners may capture a disproportionate share of future investment flows. The emphasis on derivative spending — where initial AI model investments generate secondary waves of spending on data management, monitoring, and storage — aligns with recent earnings signals from Dell and Snowflake. The Nasdaq forecast of 30,000 points by 2027 would represent a significant increase from current levels, implying sustained bullish sentiment around technology and AI stocks. The anticipated wave of mega-IPOs in 2026 may further fuel market enthusiasm, though such projections depend on macroeconomic conditions and regulatory developments.
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Expert Insights
AI Rally Data Infrastructure - earnings season, guidance updates, and market reactions. Cross-asset analysis helps identify hidden opportunities. Traders can capitalize on relationships between commodities, equities, and currencies. From an investment perspective, the AI narrative continues to evolve beyond pure-play model developers like Anthropic. The broader implication is that the ecosystem supporting AI — data infrastructure, cloud services, and enterprise software — may offer longer-term growth potential. Investors could benefit from monitoring how enterprise spending patterns shift as AI adoption moves from experimentation to production. However, market participants should approach lofty valuation projections with caution. The prediction of a 30,000-point Nasdaq by 2027, while grounded in current AI momentum, would require sustained earnings growth and favorable monetary conditions. Similarly, the anticipated mega-IPO pipeline for 2026 could introduce new supply into the market, which may affect valuations across the sector. Ultimately, Ives's analysis underscores the possibility that AI represents a multi-year investment theme with multiple phases. The initial phase driven by model funding and development may give way to a phase focused on data infrastructure and enterprise deployment. As always, market conditions, regulatory changes, and competitive dynamics could influence the trajectory of these trends. Disclaimer: This analysis is for informational purposes only and does not constitute investment advice.
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