Anthropic’s $965 Billion Valuation ‘Tip of the Spear’ for AI Rally, Wedbush’s Dan Ives Says - EPS Miss Report

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AI Rally Valuation Growth - follows ongoing US stock market trends, trading momentum, and investor sentiment. Access to multiple perspectives can help refine investment strategies. Traders who consult different data sources often avoid relying on a single signal, reducing the risk of following false trends. Dan Ives, a Wedbush Securities analyst who covers technology, appeared on CNBC’s “Squawk Box Europe” on Friday to discuss the trajectory of the artificial intelligence sector. He noted that Anthropic, an AI company, recently secured $65 billion in funding, pushing its valuation to approximately $965 billion. Ives described this milestone as “just the tip of the spear,” suggesting that the AI investment cycle may still be in its early stages. During the interview, Ives stated that “for the first time in 30 years, the U.S. is ahead of China” in technological innovation, which he believes could be a key driver of future AI-related gains. He advised investors to shift their focus beyond the leading AI firms and toward what he called “data layer” companies, explicitly naming Snowflake, Datadog and InnoData. According to Ives, “the second, third, fourth derivative, just like we saw this week with Snowflake and Dell, is showing where the spending is.” The analyst also reiterated a bold long-term forecast he had previously shared with CNBC: the Nasdaq Composite Index could exceed 30,000 points by 2027. In his view, the current environment is setting the stage for a “historic” period on Wall Street, particularly as a wave of “mega-IPOs” is expected in 2026. (The specific companies slated for those IPOs were not named in the broadcast.) Anthropic’s $965 Billion Valuation ‘Tip of the Spear’ for AI Rally, Wedbush’s Dan Ives Says Real-time news monitoring complements numerical analysis. Sudden regulatory announcements, earnings surprises, or geopolitical developments can trigger rapid market movements. Staying informed allows for timely interventions and adjustment of portfolio positions.Many traders use alerts to monitor key levels without constantly watching the screen. This allows them to maintain awareness while managing their time more efficiently.Anthropic’s $965 Billion Valuation ‘Tip of the Spear’ for AI Rally, Wedbush’s Dan Ives Says While data access has improved, interpretation remains crucial. Traders may observe similar metrics but draw different conclusions depending on their strategy, risk tolerance, and market experience. Developing analytical skills is as important as having access to data.Tracking related asset classes can reveal hidden relationships that impact overall performance. For example, movements in commodity prices may signal upcoming shifts in energy or industrial stocks. Monitoring these interdependencies can improve the accuracy of forecasts and support more informed decision-making.

Key Highlights

AI Rally Valuation Growth - follows ongoing US stock market trends, trading momentum, and investor sentiment. Monitoring the spread between related markets can reveal potential arbitrage opportunities. For instance, discrepancies between futures contracts and underlying indices often signal temporary mispricing, which can be leveraged with proper risk management and execution discipline. The key takeaway from Ives’ remarks is that the AI rally may not be limited to a handful of high-profile companies like Anthropic. Instead, the analyst suggests that the spending momentum could ripple through a broader ecosystem. The $65 billion funding round at Anthropic illustrates the magnitude of investor appetite for AI ventures, but Ives argues that the “derivative” benefits—such as demand for data infrastructure and analytics—could be even more significant. Companies like Snowflake (a cloud-based data warehousing firm), Datadog (a monitoring and analytics platform), and InnoData (a data management specialist) are positioned at the “data layer” where AI models require vast amounts of storage, processing and observability. Ives’ mention of Dell alongside Snowflake further implies that hardware and enterprise IT providers may also see elevated demand as AI deployments scale. Additionally, Ives’ Nasdaq forecast of 30,000 points by 2027—more than double the index’s current level—reflects an optimistic view of technology-led market growth. While such predictions are inherently speculative, they underscore the conviction among some analysts that AI could sustain a multi-year expansion phase. The anticipated “mega-IPOs” in 2026 would likely add further liquidity and investor attention to the tech sector. Anthropic’s $965 Billion Valuation ‘Tip of the Spear’ for AI Rally, Wedbush’s Dan Ives Says 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.Cross-market analysis can reveal opportunities that might otherwise be overlooked. Observing relationships between assets can provide valuable signals.Anthropic’s $965 Billion Valuation ‘Tip of the Spear’ for AI Rally, Wedbush’s Dan Ives Says Monitoring global indices can help identify shifts in overall sentiment. These changes often influence individual stocks.Macro trends, such as shifts in interest rates, inflation, and fiscal policy, have profound effects on asset allocation. Professionals emphasize continuous monitoring of these variables to anticipate sector rotations and adjust strategies proactively rather than reactively.

Expert Insights

AI Rally Valuation Growth - follows ongoing US stock market trends, trading momentum, and investor sentiment. 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. From an investment perspective, Ives’ analysis suggests that opportunities in the AI space may extend well beyond the companies directly developing large language models. The emphasis on “data layer” firms hints that investors could look at businesses providing the infrastructure that enables AI workloads—cloud platforms, data storage, cybersecurity and observability tools. However, such a strategy involves risks, including high valuations and the possibility that AI adoption may not accelerate as quickly as some forecast. The broader outlook painted by Ives—Nasdaq at 30,000 by 2027—would imply a sustained bull market driven by technological leadership. Yet market conditions, regulatory shifts, or geopolitical factors could alter this trajectory. Similarly, the expected IPO wave in 2026 may introduce new growth stories, but also carry the inherent uncertainties of unproven enterprises. As always, market participants should weigh analysts’ bullish views against their own risk tolerance and investment horizon. The statements from Ives represent one perspective within a wide range of opinions on AI’s future impact. Disclaimer: This analysis is for informational purposes only and does not constitute investment advice. Anthropic’s $965 Billion Valuation ‘Tip of the Spear’ for AI Rally, Wedbush’s Dan Ives Says Some investors prioritize clarity over quantity. While abundant data is useful, overwhelming dashboards may hinder quick decision-making.Combining global perspectives with local insights provides a more comprehensive understanding. Monitoring developments in multiple regions helps investors anticipate cross-market impacts and potential opportunities.Anthropic’s $965 Billion Valuation ‘Tip of the Spear’ for AI Rally, Wedbush’s Dan Ives Says 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.Real-time data also aids in risk management. Investors can set thresholds or stop-loss orders more effectively with timely information.