Here's Why I'm Buying More Broadcom as Spiking Treasury Yields Rock AI Stocks

Broadcom’s AI ramp is accelerating despite the July 31 surge in the 10-year Treasury yield to 4.75%, which coincided with a 12.87% weekly selloff in AVGO. Management reported Q2 FY2026 AI semiconductor revenue of $10.80B (+143% YoY) and guided Q3 AI revenue to $16.0B (200%+ YoY), targeting FY2027 AI revenue of >$100B, supported by Q2 AI bookings of $30B+ and visibility out to 2028. Financially, Q2 operating income rose to $10.788B (+85% YoY) with free cash flow of $10.262B (46% of revenue) and a 69% adjusted EBITDA margin, while the company authorized a $10B buyback and paid $3.1B in Q2 dividends. The article frames the pullback as “rate fear” compressing the forward P/E to ~20x, creating an entry point for a business generating $26.914B in FY2025 free cash flow.

Analysis

Broadcom is increasingly a capital-allocation substitute for hyperscalers rather than a pure semiconductor beta: when borrowing costs rise, customers tend to optimize for total cost of ownership, and that favors custom silicon over expensive general-purpose accelerators. That dynamic supports AVGO’s share at the expense of the highest-multiple AI hardware names, especially if the market keeps rewarding visible contract backlog over headline unit growth. A secondary beneficiary is the foundry / advanced packaging ecosystem tied to custom ASIC volume, while the loser set is broader GPU and networking spend that becomes easier to defer when CFOs get cautious.

The main risk is that the equity is still being priced like a duration asset while the balance sheet has duration risk of its own. If the 10-year stays near recent highs, the multiple can compress faster than the AI revenue line can re-rate, and the VMware debt load makes AVGO less insulated than the bull case implies. Over 1-3 months, the stock is likely to trade more on rates and AI capex commentary than on the long-dated contract book; over 6-18 months, the key question is whether customers keep outsourcing design or bring more logic in-house.

The contrarian view is that consensus may be overconfident in the durability of the backlog. Multi-year commitments are not the same as irrevocable revenue, and once hyperscalers have enough internal silicon architecture in place, pricing power shifts back to the customer. If AI spend normalizes or one major customer delays a platform transition, the forward multiple can de-rate quickly because the market has already embedded a very high growth runway.

Key Decisions for Investors

• Go long AVGO on further rate-driven weakness, but only on a pullback closer to the low-$330s; target a 3-6 month move back toward prior highs if AI capex commentary remains intact. Falsifier: any sign that AI revenue guidance or booking visibility is cut.
• Pair trade: long AVGO / short NVDA for 1-3 months as a relative-value expression of custom ASIC substitution versus premium GPU multiples. Risk/reward works if yields stay elevated and hyperscalers emphasize efficiency over raw training throughput.
• Use a bearish hedge with long TLT against a long AVGO position if you are worried the stock is still trading like a bond proxy; this offsets duration risk while keeping AI exposure. Falsifier: a sustained break lower in the 10-year yield.
• Watch for customer-concentration headlines from GOOGL or META and treat any delay in internal silicon rollouts as an alert to trim AVGO; if those customers reaffirm 2028+ commit levels, add on dips. The thesis weakens materially if one of the three signals capex discipline or design insourcing.