AI Rally Data Layer - tracks ongoing Wall Street activity, market momentum, and investor expectations. 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.
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AI Rally Data Layer - tracks ongoing Wall Street activity, market momentum, and investor expectations. 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. 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 Technical analysis can be enhanced by layering multiple indicators together. For example, combining moving averages with momentum oscillators often provides clearer signals than relying on a single tool. This approach can help confirm trends and reduce false signals in volatile markets.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 Signals ‘Tip of the Spear’ in AI Rally, Wedbush’s Dan Ives Says The interplay between macroeconomic factors and market trends is a critical consideration. Changes in interest rates, inflation expectations, and fiscal policy can influence investor sentiment and create ripple effects across sectors. Staying informed about broader economic conditions supports more strategic planning.Real-time data is especially valuable during periods of heightened volatility. Rapid access to updates enables traders to respond to sudden price movements and avoid being caught off guard. Timely information can make the difference between capturing a profitable opportunity and missing it entirely.
Key Highlights
AI Rally Data Layer - tracks ongoing Wall Street activity, market momentum, and investor expectations. Analyzing trading volume alongside price movements provides a deeper understanding of market behavior. High volume often validates trends, while low volume may signal weakness. Combining these insights helps traders distinguish between genuine shifts and temporary anomalies. 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 Seasonality can play a role in market trends, as certain periods of the year often exhibit predictable behaviors. Recognizing these patterns allows investors to anticipate potential opportunities and avoid surprises, particularly in commodity and retail-related markets.Some traders incorporate global events into their analysis, including geopolitical developments, natural disasters, or policy changes. These factors can influence market sentiment and volatility, making it important to blend fundamental awareness with technical insights for better decision-making.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.While algorithms and AI tools are increasingly prevalent, human oversight remains essential. Automated models may fail to capture subtle nuances in sentiment, policy shifts, or unexpected events. Integrating data-driven insights with experienced judgment produces more reliable outcomes.
Expert Insights
AI Rally Data Layer - tracks ongoing Wall Street activity, market momentum, and investor expectations. The use of multiple reference points can enhance market predictions. Investors often track futures, indices, and correlated commodities to gain a more holistic perspective. This multi-layered approach provides early indications of potential price movements and improves confidence in decision-making. 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 Real-time analytics can improve intraday trading performance, allowing traders to identify breakout points, trend reversals, and momentum shifts. Using live feeds in combination with historical context ensures that decisions are both informed and timely.Many investors adopt a risk-adjusted approach to trading, weighing potential returns against the likelihood of loss. Understanding volatility, beta, and historical performance helps them optimize strategies while maintaining portfolio stability under different market conditions.Anthropic’s $965 Billion Valuation Signals ‘Tip of the Spear’ in AI Rally, Wedbush’s Dan Ives Says Sentiment analysis has emerged as a complementary tool for traders, offering insight into how market participants collectively react to news and events. This information can be particularly valuable when combined with price and volume data for a more nuanced perspective.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.