AI Rally Data Layer - follows ongoing US stock market trends, trading momentum, and investor sentiment. 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.
Live News
AI Rally Data Layer - follows ongoing US stock market trends, trading momentum, and investor sentiment. Some investors track currency movements alongside equities. Exchange rate fluctuations can influence international investments. 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 Expert investors recognize that not all technical signals carry equal weight. Validation across multiple indicators—such as moving averages, RSI, and MACD—ensures that observed patterns are significant and reduces the likelihood of false positives.Correlating global indices helps investors anticipate contagion effects. Movements in major markets, such as US equities or Asian indices, can have a domino effect, influencing local markets and creating early signals for international investment strategies.Anthropic’s $965 Billion Valuation Signals ‘Tip of the Spear’ in AI Rally, Wedbush’s Dan Ives Says A systematic approach to portfolio allocation helps balance risk and reward. Investors who diversify across sectors, asset classes, and geographies often reduce the impact of market shocks and improve the consistency of returns over time.Tracking global futures alongside local equities offers insight into broader market sentiment. Futures often react faster to macroeconomic developments, providing early signals for equity investors.
Key Highlights
AI Rally Data Layer - follows ongoing US stock market trends, trading momentum, and investor sentiment. The interpretation of data often depends on experience. New investors may focus on different signals compared to seasoned traders. 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 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.Scenario planning is a key component of professional investment strategies. By modeling potential market outcomes under varying economic conditions, investors can prepare contingency plans that safeguard capital and optimize risk-adjusted returns. This approach reduces exposure to unforeseen market shocks.Anthropic’s $965 Billion Valuation Signals ‘Tip of the Spear’ in AI Rally, Wedbush’s Dan Ives Says 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.Historical precedent combined with forward-looking models forms the basis for strategic planning. Experts leverage patterns while remaining adaptive, recognizing that markets evolve and that no model can fully replace contextual judgment.
Expert Insights
AI Rally Data Layer - follows ongoing US stock market trends, trading momentum, and investor sentiment. Observing market cycles helps in timing investments more effectively. Recognizing phases of accumulation, expansion, and correction allows traders to position themselves strategically for both gains and risk management. 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 The increasing availability of analytical tools has made it easier for individuals to participate in financial markets. However, understanding how to interpret the data remains a critical skill.Market participants often refine their approach over time. Experience teaches them which indicators are most reliable for their style.Anthropic’s $965 Billion Valuation Signals ‘Tip of the Spear’ in AI Rally, Wedbush’s Dan Ives Says 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.Historical price patterns can provide valuable insights, but they should always be considered alongside current market dynamics. Indicators such as moving averages, momentum oscillators, and volume trends can validate trends, but their predictive power improves significantly when combined with macroeconomic context and real-time market intelligence.