Multiple analysts raise Meta price targets citing Muse AI momentum

By Splitfeed EditorialLast updated Sep 27, 2026, 12:50 UTC

Between September 23 and 25, 2026, a cluster of Wall Street firms revised their price targets for Meta Platforms upward, pointing to the company's AI product Muse as the main driver. KeyBanc moved its target to $900, a lift of more than 15%, citing stronger revenue and earnings-per-share forecasts. Citizens set its target at $885, also referencing AI growth potential. At least three additional major analysts pushed targets toward $920, and JPMorgan drew a direct comparison between Muse's market potential and that of ChatGPT. Analysts also pointed to Meta's $14 billion AI investment as beginning to produce measurable financial returns.

The coordinated timing of these upgrades, spanning four or more firms across roughly 72 hours, signals that Muse has crossed some threshold for institutional confidence. For most of the past two years, Meta's AI spending was treated by markets as a cost drag rather than a revenue engine, so the shift in analyst framing carries real weight. What remains genuinely in dispute is whether Muse represents a durable competitive product or whether the current enthusiasm reflects a relatively early data set being read too generously. JPMorgan's ChatGPT comparison in particular sets a high bar, and the range of targets, from $885 to approaching $920, suggests analysts are not fully aligned on how much of the upside is already priced in.

No published reactions from the Pro-AI, Anti-AI, or Middle Ground camps have surfaced around this story yet. Pro-AI voices would typically treat the analyst consensus as confirmation that large-scale AI infrastructure investment eventually produces returns, and would likely highlight the ChatGPT comparison as validation of Muse's strategic position. Anti-AI commentators would be expected to question whether the financial projections depend on advertising models that raise data-use concerns, or to argue that analyst price target cycles have historically lagged and overstated AI product impact. Middle Ground observers would probably focus on the gap between current targets and what Muse would need to deliver operationally to justify them.

The clearest near-term signal to watch is Meta's next earnings report, which would be the first opportunity to see whether Muse is producing the revenue and EPS figures that prompted KeyBanc and others to reset their models. Any guidance Meta offers on Muse monetization, or any independent usage data that surfaces before then, would give analysts and investors a basis for testing whether the September upgrades were well-timed or premature.