2 Beaten-Down AI Stocks to Buy Before the Next Bull Market

Microsoft is down >30% from its all-time high despite Azure revenue rising 39% YoY and overall revenue growth of 17% in Q2 FY2026, leaving valuation at decade-lows on an operating P/E basis. Broadcom's custom AI chip division grew 106% YoY to $8.4B in Q1 FY2026, and CEO Hock Tan projects that custom AI chips will generate $100B+ in revenue by the end of next year (implying at least a 3x increase for that division). Both stocks are described as buying opportunities given durable AI-driven demand, but the piece is an analyst/opinion view (Motley Fool) rather than primary corporate guidance beyond the CEO projection.

Analysis

Microsoft’s current pullback looks less like a business inflection and more like a multiple-compression event: with the core enterprise cash flows already enormous, incremental upside now requires either a sustained new revenue stream or multiple expansion driven by M&A/AI outcomes that are binary. That structure favors capital-preservation strategies rather than pure long gamma — upside is bounded unless Microsoft converts latent AI optionality into recurring, high-margin enterprise ARR at scale over 12–36 months.

Broadcom’s custom-AI chip push is a structural bet on hyperscalers preferring vertically-optimized silicon and capture of adjacent services (software integration, firmware, testing, and long-tail spare parts). The second-order winners are contract fabs, advanced memory suppliers and thermal/power OEMs that must be contracted earlier in a custom-chip model; second-order losers include third-party accelerator vendors and generalist SKU models that depend on standard GPUs.

Key catalysts and risks are asymmetric in timing: order recognition and visibility can move Broadcom materially within 1–4 quarters if hyperscaler adoption accelerates, but the same cadence exposes it to lumpiness and inventory swing risk. For Microsoft, the primary reversal vector is a clear, multi-quarter cadence of AI-driven ARR expansion or a re-pricing tied to outsized investment gains — absent that, downside is limited but so is upside.

Net positioning should be growth-tilted into Broadcom exposure while using options or pairs to cap drawdowns from cyclicality or an enterprise software re-rating. Monitor hyperscaler disclosure cadence, supply-chain lead times at TSMC/Micron and any regulatory headlines around custom silicon partnerships as the 3–18 month playbook for catalyst timing.

Key Decisions for Investors

• Long AVGO via a defined-risk call spread (12–18 month): buy AVGO 12–18 month calls and finance with a higher strike short call to halve premium. Target asymmetric payoff: +40–60% if hyperscaler rollouts accelerate within 12 months; max loss = premium paid (limit to 2–3% portfolio).
• Pair trade (12 months): go long AVGO and short MSFT on equal dollar notional to express dispersion between targeted hardware-led growth and capped software multiple expansion. R/R: expect AVGO to outperform by 20–30% if custom silicon adoption runs ahead; if macro pulls both down, cap losses with 6–9% cash stop or options collar on MSFT leg.
• Income/defensive on MSFT (3–6 months): if holding MSFT, sell 6–9 week covered calls to harvest premium and reduce effective cost basis while waiting for a clear AI-ARR signal. Risk: forgo upside beyond short strike; reward: 3–6% income per cycle if implied vol remains elevated.
• Event volatility play (0–3 months): buy a small AVGO strangle around the next quarterly cadence to capture asymmetric move on order/timing announcements. Size for 0.5–1% portfolio risk given potential IV crush if results are in-line.