Wedbush Securities analyst Dan Ives is doubling down on his bullish thesis for AI leaders, declaring that Microsoft and Palantir are trading at unprecedented discounts that signal a historic buying opportunity before the next wave of AI-driven growth materializes in corporate earnings.
The market’s punishment of tech’s biggest names in 2026 has created a paradox. While stocks like Microsoft (MSFT) and Palantir (PLTR) have been sold off aggressively, the underlying business fundamentals for artificial intelligence adoption are accelerating, not decelerating. This disconnect between stock performance and business reality is what prompts Wedbush Securities’ Dan Ives to label current valuations as a “garage sale.”
Ives’ commentary, made in an interview with Schwab Network, hinges on a crucial investor misperception: that the return on investment from enterprise AI is still speculative. He argues the opposite is true. The Fourth Industrial Revolution, powered by AI, is not a futuristic concept but a present-day transformation already flowing through corporate balance sheets and driving tangible revenue streams.[1]
The Data Doesn’t Lie: A Tale of Two Stocks
Before diving into the “why,” examine the “what.” Year-to-date, Microsoft has declined 15.35% and is down 17.86% over the last six months. Its 4.09% annual gain looks anemic against its historical standards and the broader tech rally of prior years. Palantir presents a more complex picture: down 11.99% YTD and 3.65% over six months, but still up a staggering 84.23% over the full year. This volatility underscores the market’s conflicted stance—recognizing Palantir’s AI potential but fearing its valuation and near-term execution.
According to Benzinga’s proprietary rankings, MSFT maintains a weak price trend across short, medium, and long-term horizons despite a “solid quality ranking.” This suggests institutional investors see a company with tremendous assets but are concerned about near-term growth catalysts and valuation multiples. The stock’s correlation with broader market sentiment on tech and AI has turned negative, a rare and potentially contrarian signal.
Palantir: The High-Risk, High-Reward Anomaly
Palantir’s chart tells a different story. Its 84% annual gain is evidence that the AI narrative has been a powerful tailwind. However, its pullback in 2026 reveals the core debate: is Palantir a software company with a massive new AI market, or a government contractor with an expensive multiple? Benzinga’s rankings reflect this tension, noting a weaker short-term trend but a strong long-term trend, coupled with a “poor value ranking.” In essence, the data says: growth story intact, but you’re paying a premium for that narrative in a rising rate environment.
The divergent paths of these two AI bellwethers create the investment paradox Ives is highlighting. One (Microsoft) is a cash-flow machine with every business line touching AI, yet it’s being valued as if its growth is permanently stunted. The other (Palantir) is a pure-play AI story whose stock fluctuates violently on every data point about commercial adoption.
The Monetization Inflection Point
Ives’ core argument transcends valuation quirks. He states the industry has officially moved past the “hype phase” and into an era where AI monetization takes center stage. The proof points are the specific revenue-generating engines:
- Microsoft’s Azure: The cloud infrastructure business, supercharged by its exclusive partnership with OpenAI, is no longer just selling compute. It’s packaging AI models, copilots, and integrated workflows into premium services that drive higher consumption and stickier customer relationships.[2]
- Palantir’s AIP (Artificial Intelligence Platform): The company’s commercial bootcamps are converting into significant contract wins, moving Palantir from a project-based model to a recurring revenue Software-as-a-Service model. This is the fundamental shift the market is failing to price in adequately.
“We believe the AI Revolution is just beginning to hit its stride,” Ives noted, pointing to the “massive wave of spending” on infrastructure that benefits the top-tier platform providers like Microsoft and Palantir. This spending cycle is early; hyperscalers are in a capex arms race to build the backbone, and the first movers to monetize that infrastructure at scale will capture outsized profits.
Enterprise Demand Is Accelerating, Not Slowing
The most bearish narrative currently posits that corporate America has already pulled forward AI spending and will cut budgets in 2027. Ives shoots this down flatly. He cites accelerating enterprise demand, not deceleration. For Palantir, the demand for its on-site bootcamps demonstrates a willingness by large organizations to invest heavily in deployment and training—a leading indicator of long-term contracts. For Microsoft, the integration of Copilot across its entire product suite (Office 365, Dynamics 365, GitHub) is creating a “toll booth” effect on productivity software, forcing enterprise-wide upgrades.
This is the structural growth story Ives references. While some investors fear an AI bubble, the data points to a multi-year adoption curve that is only now translating into revenue guidance and earnings beats. The companies that can demonstrate measurable ROI for customers—like reducing software development time or optimizing supply chains—will break away from the pack.
The Contrarian Opportunity
So why the disconnect? Partly, it’s a function of the 2026 macroeconomic environment: higher-for-longer interest rates pressure growth stocks by discounting future cash flows more heavily. Partly, it’s mid-cycle digestion after a monster 2023-2024 run in AI-themed stocks. But Ives sees this as the exact moment to build positions before the next “leg of the AI bull market” takes hold, which he believes will be driven by earnings realization rather than multiple expansion.
For Microsoft, the case is about resilience. Its diversified model—cloud, enterprise software, gaming, and now AI—should trade at a premium, not a discount. The current price reflects excessive pessimism about Azure’s growth rate and the ability to monetize its OpenAI investment beyond simple API reselling.
For Palantir, the bet is on commercial adoption reaching an inflection point. Its government business is stable but slow-growth. The path to a higher multiple requires the commercial segment to grow at 40%+ annually for several years, which Ives believes is underway based on the bootcamp-to-contract conversion funnel.
The risk, of course, is that the AI spending boom stalls or becomes commoditized too quickly. Yet the dominance of Microsoft’s ecosystem and Palantir’s specialized data integration skills suggest they will be beneficiaries regardless of which AI model architecture ultimately wins.
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