BofA names Meta a top AI pick, raises price target on stronger ad growth

Bank of America raised its Meta price target to $845 from $810 and reaffirmed its buy rating after Q3 revenue rose 26% year over year to $64.6 billion, above the $63.3 billion consensus; Q4 revenue guidance of $73 billion–$76 billion also exceeded the $73.6 billion estimate. Meta’s $3.83 EPS missed the $5.52 consensus, partly because of a one-time $9.9 billion legal settlement charge. BofA sees AI-driven advertising and new AI offerings supporting growth, but estimates 2027 capex of about $210 billion and free cash flow roughly $33 billion below zero, while citing execution, competition, financing and legal risks.

Analysis

META’s key advantage is that AI spending can improve the economics of its existing ad engine before new AI products generate material revenue. Better ranking and targeting can support advertiser returns and pricing, helping fund infrastructure investment; that is a more credible near-term payoff than assigning value today to an assistant’s user count or future enterprise offerings. The other side is a capital-efficiency test: if infrastructure costs and depreciation rise ahead of measurable ad gains or paid AI adoption, higher revenue may not translate into higher free cash flow, weakening the multiple and potentially reviving funding concerns. Alphabet (GOOG) is a relevant competitive check, but this report alone does not establish a relative valuation or earnings basis for a pair trade.

Over the next 1–3 months, the stock’s reaction should hinge less on the brokerage target and more on management’s capex trajectory and evidence that ad performance is improving. Over 6–18 months, monetization quality—not assistant setups—will determine whether new AI products offset the heavier investment cycle. Contrarian risk: investors may be treating early adoption as proof of willingness to pay; it is not. Conversely, a near-term focus on negative projected free cash flow could understate the option value if AI improves core ad returns first. The thesis weakens if ad pricing/returns decelerate while capex rises, or if management pushes out monetization milestones.

Key Decisions for Investors

• Avoid chasing the analyst-target revision. A small, staged long in META is reasonable for investors seeking exposure to AI-enhanced advertising; add only after the next company update confirms ad performance is holding up against rising investment.
• Do not capitalize Muse or enterprise AI as a near-term earnings stream. Treat adoption and monetization as separate milestones; watch for paid conversion, enterprise customer traction, and disclosed revenue contribution rather than setup counts.
• Use capex and free-cash-flow guidance as the principal risk controls. Reduce or exit the long if infrastructure spending is revised higher without sustained ad growth or clearer monetization, or if funding needs become more concrete.
• Keep GOOG as a competitive monitor, not an automatic short hedge: the article provides no comparable valuation or operating data to support a relative-value position.