My Top 2 Semiconductor Stocks Benefiting From the AI Boom to Buy in May 2026

Taiwan Semiconductor Manufacturing posted 40% year-over-year revenue growth in Q1 and 50% profit margins, while management expects full-year revenue to rise more than 30% as agentic AI drives additional chip demand. Broadcom reported 29% revenue growth in its fiscal first quarter and guided for 47% growth in Q2, supported by custom AI chips, networking, and a software platform that generated free cash flow equal to 41% of revenue. The article is broadly bullish on both stocks, though it also flags TSMC's geopolitical risk and Broadcom's customer concentration.

Analysis

The read-through is less “AI demand is strong” and more “AI capex is getting structurally harder to dislodge.” TSM is the toll booth on the wafer side, while AVGO is increasingly the toll booth on the interconnect/control-plane side; that combination matters because the next leg of AI spend is shifting from compute-only to full-stack cluster efficiency. If agentic workloads do drive a step-up in token generation, the constraint migrates from model training headlines to sustained inference throughput, which tends to favor suppliers with both packaging/leading-edge capacity and networking content per rack.

The second-order winner may be the power and cooling ecosystem. A multi-gigawatt build-out implies not just more chips but more rack density, switch silicon, optical components, liquid cooling, and utility interconnects, which means the market is likely underestimating the breadth of beneficiaries beyond NVDA/TSM. Conversely, this also raises the probability of execution bottlenecks: if datacenter power delivery, fiber, or grid hookups slip, order books can stay strong while shipments lag, creating a temporary “demand illusion” that can pressure near-term AI hardware multiple expansion.

Geopolitical risk remains the cleanest asymmetry on TSM: the market prices the moat, but not a tail event where shipping or policy friction causes a sudden rerating. For AVGO, concentration is the more immediate risk than geopolitics; a handful of hyperscalers can rephase capex quickly if ROI scrutiny rises, making the next 2-3 quarters the key validation window for the acceleration thesis. The contrarian view is that the AI trade is not overowned, but the beneficiaries are rotating from obvious accelerator vendors into less crowded infrastructure enablers where earnings revisions may be more durable.

The setup argues for owning the picks-and-shovels with the cleanest cash conversion rather than chasing the most crowded AI beta. The market may also be underappreciating that custom silicon adoption does not necessarily cannibalize TSM; it can increase wafer intensity and packaging complexity per deployed system, supporting both revenue and mix. That creates a rare pairing where the same AI capex wave can lift both a foundry and a networking/custom-silicon supplier without requiring perfect narrative coherence from the sell side.

Key Decisions for Investors

• Go long TSM on 3-6 month horizon; use pullbacks tied to geopolitics to add. Risk/reward favors owning the foundry bottleneck, but size modestly because headline risk can gap the stock 5-10% on Taiwan escalation.
• Go long AVGO vs. NVDA as a relative-value pair over the next 2 quarters. AVGO’s mix shift into custom silicon plus networking gives it a less crowded path to upside if hyperscaler capex stays intact; stop if hyperscaler guidance softens.
• Add a basket long in AI infrastructure enablers not named here (power, cooling, optics) as a hedge on the capacity-build thesis. The thesis is that power/connectivity bottlenecks become the next order of operations, with 6-12 month lagged benefit.
• For tactical upside, buy AVGO call spreads 3-6 months out rather than stock if you want convexity to another guidance raise. The risk/reward is best if the market is still underestimating 2026 revenue visibility.
• Avoid chasing the most crowded AI accelerator exposure after a strong run; use any broad semis rally to trim beta and redeploy into lower-crowding infrastructure names. The contrarian edge is in second-order beneficiaries, not the obvious leaders.