2 Dirt Cheap Artificial Intelligence (AI) Stocks That It's Time to Buy the Dip On

The article argues that Meta Platforms and Microsoft are undervalued AI stocks, with Meta’s Q1 revenue up 33% year over year and Microsoft’s latest fiscal-quarter revenue up 18%. It highlights Microsoft’s AI annual run rate rising 123% to $37 billion and Azure growth of 40%, while noting both stocks trade at unusually low valuation multiples. The piece is opinionated bullish commentary rather than new company-specific news, so the likely market impact is limited.

Analysis

The market is still pricing META and MSFT as if AI is a multiple-expansion story, but the more interesting setup is that both are turning AI into operating leverage inside already-dominant cash engines. For META, the real edge is not the futuristic AI narrative; it is that model-driven ad optimization can keep lifting monetization without proportional sales force or distribution costs, which means incremental revenue should convert unusually well into FCF over the next 4-6 quarters. For MSFT, Azure and AI workloads create a reinforced flywheel: higher inference demand pulls through cloud consumption, and that in turn supports a re-acceleration in enterprise stickiness even if software seat growth stays modest.

The second-order effect is competitive pressure on smaller AI infrastructure and ad-tech players. If META keeps improving ad ROI, it can further compress budgets away from independent ad tech and lower-funnel marketing intermediaries, while MSFT’s AI/cloud attach rate can keep tightening the screws on standalone enterprise AI vendors that depend on third-party compute. On the hardware side, both names are still indirect beneficiaries of the AI capex cycle, but if investors re-rate META and MSFT higher from current valuations, the relative upside may actually be larger in the less obvious picks-and-shovels beneficiaries that supply them.

The contrarian read is that consensus may be underestimating duration of growth, but overestimating speed of monetization from the newest AI products. Smartglasses and consumer superintelligence are optionality, not base case, and the stock-level catalyst is more likely to come from continued earnings revision than from a breakthrough launch. The key risk is not business deterioration; it is that these stocks remain cheap for longer than expected if the market keeps rotating into more obvious AI winners, which makes timing matter more than thesis quality.

Near term, the main reversal trigger would be any evidence that ad efficiency or cloud growth is decelerating, because both names are trading on the assumption that AI is extending the cycle rather than merely defending it. That sets up a cleaner trade than chasing full-future-NPV narratives: buy the current cash flow, not the product roadmap. If revisions stay positive into the next 1-2 quarters, these names can rerate even without new product launches.

Key Decisions for Investors

• Long META on any post-earnings pullback over the next 1-3 weeks; target a 15-20% upside rerating if revenue growth stays >25% and AI-driven ad efficiency remains intact. Risk: multiple stays compressed if the market dismisses smartglasses as optionality.
• Long MSFT versus a basket of expensive AI beneficiaries over a 3-6 month horizon; the setup is a quality/valuation trade with lower downside if AI spending stays elevated but growth normalizes. Use a relative-value structure to reduce index risk.
• Pair trade: long META / short a higher-multiple ad-tech or consumer internet proxy over 2 quarters; thesis is META’s internal AI monetization will take share from intermediaries faster than the market expects. Stop if ad pricing weakens or regulatory headlines intensify.
• Consider MSFT Jan-2027 call spreads as a low-carry way to express a multi-quarter rerating if cloud growth and AI revenue continue compounding. Best suited if implied volatility is still modest versus history.
• Keep a tactical hedge on if owning both: short a small basket of AI capex-exposed hardware names against META/MSFT longs to isolate the margin/FCF story from the capex cycle. This reduces exposure to any rotation away from semis while preserving upside from software monetization.