AI rally data layer stocks - investor sentiment, confidence, and risk appetite shifts. Wedbush Securities analyst Dan Ives told CNBC that Anthropic's near-trillion-dollar valuation is only the beginning of the AI investment wave, calling on investors to turn attention to data layer companies such as Snowflake, Datadog, and InnoData. He reiterated a prediction for the Nasdaq to top 30,000 points by 2027, anticipating a historic period ahead of a raft of mega-IPOs expected in 2026.
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AI rally data layer stocks - investor sentiment, confidence, and risk appetite shifts. The role of analytics has grown alongside technological advancements in trading platforms. Many traders now rely on a mix of quantitative models and real-time indicators to make informed decisions. This hybrid approach balances numerical rigor with practical market intuition. Dan Ives, managing director at Wedbush Securities, appeared on CNBC's "Squawk Box Europe" on Friday to discuss the accelerating AI rally. He highlighted Anthropic's latest valuation of approximately $965 billion after the company secured $65 billion in funding on Thursday. Ives described this milestone as "just the tip of the spear," suggesting that investor appetite for artificial intelligence companies is far from satisfied. Ives noted that "for the first time in 30 years, the U.S. is ahead of China" on technology, positioning American AI firms as global leaders. He advised investors to look beyond pure-play AI names and focus on what he called the "second, third, fourth derivative" of AI spending — specifically data infrastructure companies. Examples cited include Snowflake, Datadog, and InnoData, along with Dell Technologies, which he mentioned as evidence of where enterprise spending is flowing. The analyst also reaffirmed a broader market call he had made in earlier CNBC interviews: a forecast for the Nasdaq Composite to surpass 30,000 points by 2027. He described the coming period as "historic" for Wall Street, particularly with a wave of large initial public offerings expected to hit the market in 2026.
Dan Ives: Anthropic's $965B Valuation 'Tip of the Spear' for AI Rally – Focus on Data Layer Stocks Risk management is often overlooked by beginner investors who focus solely on potential gains. Understanding how much capital to allocate, setting stop-loss levels, and preparing for adverse scenarios are all essential practices that protect portfolios and allow for sustainable growth even in volatile conditions.Cross-market analysis can reveal opportunities that might otherwise be overlooked. Observing relationships between assets can provide valuable signals.Dan Ives: Anthropic's $965B Valuation 'Tip of the Spear' for AI Rally – Focus on Data Layer Stocks Diversification in analysis methods can reduce the risk of error. Using multiple perspectives improves reliability.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.
Key Highlights
AI rally data layer stocks - investor sentiment, confidence, and risk appetite shifts. Integrating quantitative and qualitative inputs yields more robust forecasts. While numerical indicators track measurable trends, understanding policy shifts, regulatory changes, and geopolitical developments allows professionals to contextualize data and anticipate market reactions accurately. The key takeaway from Ives' commentary is that the AI investment cycle may be entering a new phase — one where infrastructure and data layer providers capture a growing share of capital. Anthropic's $65 billion funding round and near-trillion-dollar valuation underscore the immense scale of private market interest in AI, yet Ives suggests that public market opportunities lie in the supporting ecosystem. Data warehousing and analytics platforms like Snowflake, monitoring tools like Datadog, and specialized data firms such as InnoData could benefit as enterprises expand their AI capabilities. Dell's recent performance, touched on by Ives, may reflect increasing corporate spending on hardware and storage needed to run AI workloads. The forecast for a Nasdaq above 30,000 implies a sustained rally driven by technology sector growth, though such projections remain speculative. The reference to a busy IPO pipeline in 2026 hints at a potential shift in market dynamics, with private AI companies possibly seeking public listings. However, the timing and valuation of those offerings would depend on market conditions and regulatory factors.
Dan Ives: Anthropic's $965B Valuation 'Tip of the Spear' for AI Rally – Focus on Data Layer Stocks Many investors now incorporate global news and macroeconomic indicators into their market analysis. Events affecting energy, metals, or agriculture can influence equities indirectly, making comprehensive awareness critical.Scenario modeling helps assess the impact of market shocks. Investors can plan strategies for both favorable and adverse conditions.Dan Ives: Anthropic's $965B Valuation 'Tip of the Spear' for AI Rally – Focus on Data Layer Stocks Cross-asset correlation analysis often reveals hidden dependencies between markets. For example, fluctuations in oil prices can have a direct impact on energy equities, while currency shifts influence multinational corporate earnings. Professionals leverage these relationships to enhance portfolio resilience and exploit arbitrage opportunities.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.
Expert Insights
AI rally data layer stocks - investor sentiment, confidence, and risk appetite shifts. Monitoring global market interconnections is increasingly important in today’s economy. Events in one country often ripple across continents, affecting indices, currencies, and commodities elsewhere. Understanding these linkages can help investors anticipate market reactions and adjust their strategies proactively. From an investment perspective, Ives' remarks suggest that the AI theme remains a dominant force in equity markets, but the focus may be broadening. Caution is warranted — while data layer companies could see increased demand, their valuations already reflect high growth expectations. The Nasdaq target of 30,000 by 2027, if realized, would imply a roughly 80% gain from current levels, a scenario that would likely require sustained earnings momentum and favorable macroeconomic conditions. The geopolitical angle — the U.S. leading China in technology for the first time in three decades — adds a layer of strategic importance to AI investments. Trade policies, export controls, and competitive dynamics could influence which companies benefit most. Investors might monitor upcoming mega-IPOs in 2026 as a barometer of market sentiment, but no specific timing or performance can be guaranteed. Overall, Ives' outlook paints a picture of an AI-driven market evolution, with potential opportunities across infrastructure, data, and hardware. However, as with any concentrated thematic bet, diversification and risk management remain prudent. Disclaimer: This analysis is for informational purposes only and does not constitute investment advice.
Dan Ives: Anthropic's $965B Valuation 'Tip of the Spear' for AI Rally – Focus on Data Layer Stocks Some traders combine trend-following strategies with real-time alerts. This hybrid approach allows them to respond quickly while maintaining a disciplined strategy.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.Dan Ives: Anthropic's $965B Valuation 'Tip of the Spear' for AI Rally – Focus on Data Layer Stocks Some investors integrate AI models to support analysis. The human element remains essential for interpreting outputs contextually.Some traders use futures data to anticipate movements in related markets. This approach helps them stay ahead of broader trends.