2 Top Oversold Tech Stocks to Buy Before They Soar

Meta: Q4 revenue rose 24% YoY to $59.9B, Q4 operating cash flow was $36.2B and 2025 operating cash flow about $116B; management expects steep 2026 capex of $115–$135B to fund AI initiatives, while the stock is down ~13% YTD and trades at ~24x P/E with >$81B in cash. Pinterest: Q4 global MAUs +12% YoY to 619M, revenue +14% (decelerating from 17%), faces retailer ad pullbacks that may persist into Q1, trades around ~30x P/E but management expects AI-driven visual search to improve engagement and monetization if ad markets recover.

Analysis

The biggest implicit winner from the current AI capex scare is the infrastructure stack — specialized accelerators, memory, interconnects and colo capacity stand to capture multi-year secular demand even if end-user monetization lags. That creates an important dispersion opportunity: hardware and colo revenues compound with relatively predictable contractual or capacity-led cadence, whereas ad monetization is binary and tied to advertiser ROI signals.

Ad platforms that can demonstrably improve advertiser ROI via AI will re-price materially versus peers; the crucial metric to watch is measurable conversion lift per incremental CPM rather than headline engagement. A pivot in ad measurement (first-party + modelled outcomes) will favor vertically-specialized discovery surfaces and adtech partners that integrate signal-rich creative tools — this reshapes where retailer marketing dollars flow over the next 4–12 quarters.

Near-term risks are conventional: advertising cycles and macro-driven retail margin defense can keep revenues flat for multiple quarters, while AI investments amortize over years and can raise the breakeven bar if models require custom silicon. Catalysts that would reverse the market’s skepticism are clear: incremental ad CPM/CTR lifts proved on cohort experiments, sustained improvement in conversion economics across retail cohorts, or clear path-to-profitability on AI products within 12–24 months — otherwise downside from multiple compression and funding volatility remains real.

Key Decisions for Investors

• Long META (size 1–2% NAV): express via 18–30 month LEAP call spread to control cost (buy long-dated calls, sell higher strike). Risk/reward: pay limited premium (max loss = premium) for asymmetric upside if AI ad formats show >20% incremental ROI within 12–24 months; trim to 50% after a confirmed CPM/ROI beat at next two quarters.
• Small, tactical long PINS (size 0.5–1% NAV): buy 9–15 month OTM calls rather than large equity exposure. Rationale: caps downside to premium while keeping upside if discovery-commerce ad performance recovers; exit/roll down on two consecutive quarters of advertiser contraction.
• Pair trade for ad-cycle idiosyncrasy: long PINS (0.5% NAV) / short SNAP (0.5% NAV) to isolate exposure to retail ad pullback vs discovery-led resilience. Timeframe: 6–12 months, hedge with options if volatility spikes; target 2:1 reward/loss if pair diverges >15% in 3 months.
• Play infra winners: overweight NVDA (options for convexity) and EQIX (stock) — size 2–3% NAV combined. These capture the capex-to-revenue cadence; stop-loss 15% on NVDA options premium decay reassessment and fundamental re-evaluation if cloud billings soften for two consecutive quarters.