Depressed tech valuations could offer entry point for investors, Goldman Sachs says

Goldman Sachs flags a buying opportunity in tech: market consensus expects S&P 500 IT EPS to grow 44% in Q1, representing 87% of index EPS growth. The firm notes one of the weakest relative return periods for tech in 50 years, yet valuations are depressed (global IT P/E below discretionary, staples and industrials) and the hyperscaler valuation premium has compressed to near-sector levels. Key drivers cited include China’s DeepSeek AI release, heavy US hyperscaler capex and AI-driven software disruption, while the Iran war and insensitivity of tech cash flows to economic growth could make the sector relatively defensive and benefit from higher bond yields.

Analysis

The current dislocation is less about a single narrative break and more about a regime shift in where AI and cloud value crystallize: incumbent hyperscalers are building vertically (reducing some third‑party take rates) while at the same time expanding the addressable market for AI hardware and enterprise SaaS. That creates a two-speed market — slower multiple recovery for software vendors facing AI‑driven compression of pricing power, and faster revenue/margin expansion for cloud owners and selective infrastructure suppliers when adoption passes an inflection point.

Flows and positioning are the immediate mechanical driver: low active exposure to tech creates asymmetric upside once any macro crosswind (yields, risk‑on) reverses; earnings revisions are already positive, so the next 1–3 quarters are where consensus can reprice quickly. However, structural risks persist — faster Chinese AI progress or cheaper in‑house models at hyperscalers can shave future TAM, and a renewed global risk‑off (sharp rates repricing or severe ad/capex retrenchment) would quickly re‑create the valuation gap.

For portfolio construction, favor durable cashflow franchises inside tech and the parts of the hardware stack that enjoy quasi‑oligopolistic economics, while keeping convex hedges against a macro or geopolitical jolt. The optimal time horizon is staged: tactical (days–weeks) to capture rotation off positioning, and strategic (6–18 months) to ride earnings‑driven re‑rating as AI adoption translates into sustained incremental margins.

Key Decisions for Investors

• Tactical pair (3–6 months): Long XLK / Short XLI — target 3–6% relative outperformance. Position size: 3–5% net exposure. Stop-loss: if 10‑day yield move >75bps or XLK underperforms by 6% from entry.
• Core directional (6–12 months): Buy MSFT and GOOGL outright (equal weight) for exposure to enterprise AI and cloud deflation of customer TCO. Target return 25–40% on re‑rating; tranche entry over 4 weeks to manage flow risk; risk budget 6–12% drawdown per name.
• Convex options play (6–9 months): Buy AMZN 1–2x 6–9 month call spreads (sell further OTM call to finance) to capture cloud + advertising upside capped at known cost. Expect 2–4x payoff if cloud margins surprise; max loss = premium paid.
• Tail hedge (0–3 months): Buy 3‑month SMH 5% OTM puts (or equivalent semiconductor puts) sized to cover 20–30% of tech long exposure. Purpose: protect against a sharp yield spike or AI‑competition shock; cost is premium (~1–2% portfolio drag if unused).