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KLAC vs. Advanced Energy: Which AI Stock is a Buy Right Now?

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KLAC vs. Advanced Energy: Which AI Stock is a Buy Right Now?

Hyperscalers plan roughly $700 billion in combined AI infrastructure spending in 2026, supporting strong demand for KLA and Advanced Energy. KLA guided Q3 FY2026 revenue of $3.35B (+/− $150M) but faces margin pressure from rapidly rising DRAM costs, supply constraints and tariff headwinds, while Advanced Energy guided Q1 2026 revenue of $500M (+/− $20M) and expects to add $2.5B of revenue-generating capacity by end-2026. Zacks consensus EPS for FY2026: KLAC $36.62 (≈+10% vs FY2025), AEIS $8.32 (≈+29.8% vs FY2025); YTD stock performance: AEIS +51.5% vs KLAC +23.3%, with forward P/Es ~36.94x (AEIS) and 33.72x (KLAC).

Analysis

Competitive dynamics favor companies that convert discrete capital wins into recurring, service-like revenue streams; AEIS’s power platforms, if adopted as a rack-level standard by multiple hyperscalers, can capture annuity-like attach rates (spare parts, firmware, custom integration) that scale at higher gross margins than single-project equipment sales. KLA sits on the opposite lever: its tools are highly sticky during ramp phases and command pricing power, but they are more exposed to lumpiness and working-capital-driven timing swings that make earnings higher-variance across quarters.

Second-order supply-chain effects matter: new fab and data-center siting trends (Thailand/Mexico vs. Taiwan/US) create tariff, labor and FX arbitrage that will differentially benefit manufacturers with decentralized capacity and flexible logistics; suppliers that cannot flex production will see margin erosion even if order books are healthy. Also watch the competitive set beyond the headline names—power-module incumbents and contract manufacturers can undercut margins through scale, and tool competitors can pick off lower-complexity inspection spend, compressing mid-cycle pricing for both names.

Risk/catalyst framing is straightforward: the primary upside is execution (capacity ramps, multi-customer wins, faster attach rates) over 6–18 months; the primary downside is a recalibration of hyperscaler cadence or a failed capacity ramp, which would hit AEIS disproportionately and cause KLAC to see a quicker rebound as fab cycles normalize. Key near-term data to watch: customer concentration in recent wins, days-sales-outstanding and inventory trends, and gross-margin trajectory over the next two quarters as supply-chain noise and commodity input costs normalize.