Back to News
Market Impact: 0.25

2 Stocks to Buy for AI's Next Stage

SWKSCRUSUBERGOOGGOOGLNOWPLTRTVZ
Artificial IntelligenceTechnology & InnovationInvestor Sentiment & PositioningCompany FundamentalsAnalyst InsightsCorporate Guidance & OutlookMarket Technicals & Flows

The piece argues that a recent selloff in AI “infrastructure” names creates buying opportunities in experience-focused, “Stage 2” AI companies such as Thomson Reuters and ServiceNow. Thomson Reuters, which has endured a ~60% selloff since mid-last year, has acquired AI capabilities (Additive, SafeSend, Casetext) and the author’s model assigns it ~105% upside, citing upper-single-digit revenue growth and faster profit gains. ServiceNow serves >85% of the Fortune 500 with a 98% retention rate, posted 21% revenue growth in 2025, and analysts forecast ~20% revenue growth and a ~49% EPS increase this year, positioning it as a scalable AI-experience provider that should benefit as enterprises operationalize LLMs.

Analysis

Market structure: The selloff is bifurcating “Stage 1” infrastructure (chips, data centers, utilities) from “Stage 2” experience-layer firms (enterprise AI SaaS, verticalized AI tools). Winners—ServiceNow (NOW), Thomson Reuters (TRI), and other human-in-the-loop vendors—gain pricing power and higher gross margins as customers pay for accuracy, integration and retention (NOW: 98% retention, 75% multi-product attach). Losers are capital-intensive suppliers (e.g., SWKS, CRUS) facing margin compression if data-center demand growth slows or capex is re-staged. Risk assessment: Tail risks include regulatory intervention on LLMs or liability suits for legal-AI products (6–24 months), a rapid drop in enterprise IT budgets in a recession (near-term), or vertical integration by hyperscalers that accelerates within 12–36 months. Hidden dependencies: Stage-2 wins depend on sustained enterprise spend and renewal metrics (e.g., NOW retention >95%, TRI contract renewals); compute-price deflation or oversupply could amplify Stage-1 defaults and wider credit stress (50–150bps wider HY spreads). Trade implications: Tactical posture is long durable experience-layer software and short select Stage-1 hardware/developer plays. Use 9–24 month horizons: size core longs 2–3% of portfolio for NOW and 1–2% for TRI, layered (50% now, 50% on 10% pullback). Hedge with 3–6 month put spreads on a SWKS/CRUS basket to limit downside and consider long-dated LEAPS or cash-secured puts to bias positive on NOW/TRI while keeping defined risk. Contrarian angles: The market underestimates switching costs and human-in-the-loop value—this is the iPhone-app-store parallel where platforms, not suppliers, captured long-term value. Current sentiment likely overstates near-term AI infracapacity risk by ~15–40%, creating entry windows; unintended consequence: a consolidation wave among infrastructure providers could further consolidate pricing power into software platforms over 12–36 months.