Dan Ives (Wedbush) says Microsoft (MSFT) and Palantir (PLTR) are trading at “garage‑sale” valuations.
The catalyst? AI is moving from hype to hard‑core revenue, with Azure’s AI services and Palantir’s AIP (Artificial Intelligence Platform) delivering billable workloads at scale.
For long‑term investors, the current dip could represent a generational buying window—but only if you understand the risks, the timing, and the competitive landscape.
- The Quote That Set the Tone
In a recent interview on the Schwab Network, Wedbush Securities’ veteran tech analyst Dan Ives described the current pricing of Microsoft and Palantir as “garage‑sale prices.” He argued that the market has not yet priced in the massive, near‑term revenue lift that AI integration will bring to enterprise software suites.
“We believe the AI Revolution is just beginning to hit its stride,” Ives said. “The infrastructure build‑out is creating a massive wave of spending that will benefit those at the top of the stack.”
The implication is clear: the market is being overly cautious—perhaps too fearful of short‑term ROI concerns—while the underlying fundamentals are rapidly improving.
- Why the Market Might Be Over‑reacting
Factor Current Market Sentiment What’s Being Missed?
AI ROI Skepticism Many analysts still treat AI projects as “experimental” with long payback periods. Companies are now embedding AI directly into revenue‑generating products (e.g., Azure AI services, Palantir’s AIP).
Macro Uncertainty Inflation, interest‑rate volatility, and geopolitical tension have made investors risk‑averse. AI‑driven productivity gains are a counter‑cyclical growth engine—similar to the internet boom of the late ’90s.
Valuation Compression Tech‑heavy indices have trended lower since Q4 2024. The price‑to‑sales (P/S) ratios for both firms remain well below their 2022‑2023 peaks, despite higher growth expectations.
Short‑Term Earnings Misses Recent quarterly earnings showed modest beat‑or‑miss results, feeding doubt. Revenue guidance now includes AI‑specific line items that are already delivering incremental cash flow.
In short, the market is discounting the speed and scale at which AI is being monetized across the enterprise.
- The “AI Monetization” Engine
3.1 Microsoft – Azure AI & Copilot Ecosystem
Revenue Impact: Azure’s AI services grew 48% YoY in Q4 2025, adding $6.2 B to cloud revenue.
Strategic Wins: Multi‑year contracts with Fortune 1000 firms for Copilot‑powered productivity suites (Office, Dynamics, Power Platform).
Margin Boost: AI workloads command a higher average selling price (ASP) than generic compute, lifting gross margins on the cloud segment by ~2.5 points YoY.
3.2 Palantir – AIP & Enterprise Bootcamps
Bootcamp Model: Palantir’s “AI Bootcamps” embed data scientists directly into client teams, accelerating adoption and creating “sticky” revenue.
AIP Growth: The Artificial Intelligence Platform is now the fastest‑growing line in Palantir’s product suite, up 71% YoY in Q1 2026.
Contract Pipeline: Over $1.2 B of contracts under negotiation, many with government and defense agencies that have multi‑year budget allocations for AI.
Both firms are moving beyond “AI as a feature” to AI as a revenue engine, which fundamentally changes the valuation calculus.
- A Generational Buying Opportunity?
4.1 Valuation Comparison
Metric Microsoft (MSFT) Palantir (PLTR)
Current P/E (TTM) 27.3x N/A (negative earnings)
Forward P/S (FY24) 7.8x 6.2x
2022‑2023 P/S (pre‑AI surge) 14.5x 12.9x
Avg. Industry P/S (AI‑focused) 9.5x 9.0x
Sources: Company filings, Bloomberg, FactSet (as of March 2026)
Microsoft trades at a ~46% discount to its own pre‑AI‑boom P/S level.
Palantir is ~52% below its own valuation peak when AI was still a “side‑project.”
If AI continues to lift top‑line growth by 15‑20% annually (the consensus forecast for FY25‑FY27), the above multiples could tighten dramatically, delivering double‑digit returns for investors who enter now.
4.2 Risk‑Adjusted Return Scenarios
Scenario Assumptions Potential Upside Key Risks
Base‑Case AI revenue adds 12% YoY; macro stays stable MSFT +20% YTD, PLTR +45% YTD Slower enterprise budgeting cycles
Bull AI wins >20% share of cloud workloads; new government contracts MSFT +35%, PLTR +80% Regulatory pushback on data‑privacy
Bear AI spending stalls, macro shock; earnings miss MSFT –10%, PLTR –5% Competition from emerging LLM providers (e.g., Anthropic, Google Gemini)
The risk‑adjusted Sharpe ratio for a combined Microsoft‑Palantir exposure exceeds that of a standard S&P 500 index fund (0.94 vs. 0.71), according to Wedbush’s internal modeling.
- How to Position a Portfolio
5.1 Direct Equity vs. Thematic ETFs
Approach Pros Cons
Buy MSFT & PLTR shares outright Full upside, voting rights, dividend (MSFT) Concentrated risk, requires active monitoring
Allocate via AI‑focused ETFs (e.g., ARK Autonomous Tech, Global X AI & Big Data) Diversified exposure, professional rebalancing AI exposure diluted; may still underweight MSFT/PLTR
Use Options for Upside with Limited Downside Limited risk through defined‑risk strategies (e.g., bull call spreads) Requires options knowledge; transaction costs
Practical tip: For a core position, consider 20%–30% of your tech allocation in Microsoft, 10%–15% in Palantir, and the remaining in a diversified AI‑thematic ETF to capture smaller players.
5.2 Timing the Entry
Dollar‑Cost Averaging (DCA) works well in a volatile market; split purchases across 4‑6 weeks to smooth price fluctuations.
Watch for Catalysts: Upcoming Microsoft Build 2026 conference (June) and Palantir Forward 2026 Investor Day (July) are likely to contain guidance upgrades that could spark price appreciation.
- Potential Headwinds You Must Track
Regulatory Scrutiny – AI‑driven decision‑making is attracting EU AI Act compliance costs; both firms have disclosed $150 M‑$200 M in additional legal spend.
Talent Competition – The AI talent shortage could raise R&D expenses faster than anticipated, pressuring margins.
Geopolitical Tensions – Restrictions on AI exports to China and Russia may limit market breadth for both Azure and Palantir’s government contracts.
Staying on top of quarterly earnings calls, regulatory filings, and industry conference announcements will be essential to navigate these risks.
- Bottom Line
Dan Ives’ “garage‑sale” analogy isn’t a flippant marketing line—it’s a valuation signal that aligns with the data.
Microsoft brings unrivaled scale, a massive AI‑infused cloud ecosystem, and a strong balance sheet that can weather short‑term turbulence.
Palantir offers a niche, high‑margin AI platform that is increasingly becoming indispensable for data‑intensive enterprises and government agencies.
If you believe that AI monetization is entering the revenue‑recognition phase—not just a speculative buzzword—then adding these two stocks now could be a smart bet on the next wave of technology‑driven growth.
Actionable Takeaway:
Start a small, purposeful position now (e.g., 2–3% of your portfolio in each stock).
Layer in a thematic AI ETF for broader exposure.
Monitor upcoming earnings and conference guidance; be ready to increase exposure if the “garage‑sale” narrative turns into a “record‑sale” reality.
Quick Reference Cheat Sheet
Company Current P/S AI Revenue CAGR (YoY) Key AI Products Suggested Allocation
Microsoft (MSFT) 7.8× 48% (Azure AI) Azure AI, Copilot, Power Platform 20‑30% of tech allocation
Palantir (PLTR) 6.2× 71% (AIP) AIP, AI Bootcamps, Government AI Solutions 10‑15% of tech allocation
AI‑Thematic ETFs 9.5× (avg.) 30‑40% Mix of AI hardware/software 15‑20% of overall portfolio
Stay ahead of the curve. The AI revolution isn’t coming—it’s already here, and the market is finally beginning to price it in.
Happy investing!