Goldman Sachs reiterates Thomson Reuters stock Buy rating on AI resilience

Goldman Sachs reiterated a Buy on Thomson Reuters with a $111 price target versus a $89.75 share price, arguing the stock is oversold and undervalued despite AI disruption concerns. The company also announced a $605 million capital return, a planned reverse split, and up to $600 million in share repurchases, while CFO Mike Eastwood is set to retire in May 2026. Recent analyst actions are mixed, with RBC upgrading to Outperform and Wells Fargo cutting to Equal Weight.

Analysis

The setup is less about near-term earnings and more about market structure: TRI has become a forced de-grossing / short-duration consensus target in a market obsessed with AI disintermediation, so any evidence of workflow retention can trigger a sharp multiple re-rate. The important second-order effect is that perceived AI winners in enterprise software may be crowded, while “boring” information monopolies with switching costs and legal/regulatory embeddedness are under-owned; that makes TRI a cleaner mean-reversion candidate than the headline suggests.

The most interesting catalyst is not the May print itself but the pairing of capital returns with a management transition. Buybacks plus a reverse split can tighten float and amplify upside if the market starts to re-underwrite stable FCF, but they also raise the bar for execution: any hiccup in guidance, churn, or reinvestment credibility would be punished harder because expectations are now anchored to a defense thesis. The CFO change adds a governance overhang into a stock already trading on narrative, so the first guidepost is whether management uses the call to quantify AI-related retention rather than hand-wave it.

The consensus is likely overestimating the speed of substitution and underestimating legal/tax workflow inertia, but it may still be underpricing competitive pressure from adjacent search/workflow vendors that can bundle AI features at low marginal cost. That means the upside is best expressed as a tactical valuation catch-up over 1-3 months, not a blanket long-duration compounder bet. WFC is a useful collateral signal: if AI anxieties are repricing exposed software names indiscriminately, TRI’s rebound could be sharp once the market re-separates business models from headlines.

Key Decisions for Investors

• Initiate a tactical long in TRI ahead of earnings with a 1-3 month horizon; target a re-rating to the low-$100s if management confirms stable 2026 EPS and no meaningful workflow loss. Risk/reward is attractive after a 50% drawdown, but trim aggressively if guidance implies even modest share loss.
• Use TRI call spreads rather than stock for event convexity: buy near-dated upside exposure into the May 5 print and finance with a higher strike to cap premium burn. Best if the market is still pricing AI disruption as a binary threat rather than a gradual adoption curve.
• Pair long TRI / short a basket of AI-exposed enterprise software names with lower switching costs over the next 4-8 weeks. The trade expresses dispersion between structural incumbency and narrative-driven multiple compression.
• Avoid chasing post-earnings strength if TRI gaps higher on buyback headlines alone; wait for a 2-3 day pullback to see whether the market is buying durability or just the capital return. The true test is retention commentary, not the return-of-capital story.