Meta earnings live updates: AI spending, ad revenue and stock reaction

Meta is due to report Q3 earnings after Wednesday’s close; LSEG analysts expect EPS of $5.75 and revenue of $63.2 billion. Its Muse AI assistant gained traction, but investors will focus on whether Meta raises data-center spending: the company’s 2026 capex guidance is $130 billion-$145 billion, while FactSet analysts project $196.3 billion for 2027. Free cash flow fell to $784 million from $8.55 billion a year earlier, and third-quarter daily active people are expected at 3.65 billion, almost flat sequentially.

Analysis

The key asymmetry is between AI distribution and AI economics: broad app reach can lower user-acquisition costs, but an assistant that diverts time from ad-supported feeds could dilute monetizable impressions before it creates incremental ad demand or paid revenue. App-store ranking is therefore a weak proxy for durable earnings contribution; usage, retention, incremental time spent, and monetization disclosure matter more. With audience growth expected to be mature, the near-term underwriting case still rests primarily on advertising execution, while AI is an option whose value must justify a heavier infrastructure burden.

A capex increase would likely pressure near-term free cash flow and raise depreciation expense over time; it could also benefit compute, networking, and power suppliers, while tightening scarce capacity for other buyers. But supplier exposure is not automatically an earnings win: delivery timing, utilization, and returns on deployed capacity matter. The market may be underweight the possibility that agents improve ad targeting or commerce conversion, but may be over-crediting early adoption as proof of monetization.

For the print, avoid a naked directional bet: guidance on capex and evidence of incremental ad yield are more consequential than a single quarter’s results. Over 1–3 months, watch whether management quantifies agent engagement and monetization alongside spend. Over 6–18 months, the thesis turns on returns from AI infrastructure versus rising depreciation and persistent cash-flow compression. Falsifiers: material capex escalation without measurable product monetization, weakening ad pricing or engagement, or guidance that implies lower infrastructure utilization.

Key Decisions for Investors

• Before earnings, keep META exposure sized for a binary guidance event; do not treat assistant download or ranking signals alone as grounds to add. Verify implied volatility and option pricing before considering any event structure.
• If the shares sell off on higher capex but management provides credible evidence of incremental ad conversion, retention, or paid AI revenue, consider scaling into META after the call rather than buying the initial reaction. The thesis is falsified if subsequent guidance continues to raise spend without observable monetization progress.
• If capex rises while advertising indicators weaken and management offers no measurable AI returns, reduce META exposure or use a defined-risk bearish position; reassess if ad pricing and engagement stabilize or cash-flow guidance improves.
• Track data-center, networking, and power-equipment suppliers as potential second-order beneficiaries, but require evidence of order conversion and capacity utilization before expressing the view—the article does not establish which vendors capture Meta’s spending.