Meta's Connect showcase has won an enthusiastic reception on Wall Street, where analysts are raising their expectations for a company increasingly staking its future on personal AI and wearable devices.
JPMorgan analyst Doug Anmuth raised his Meta price target to $920 from $820 and kept an overweight rating, Yahoo Finance reported.
Citizens lifted its target to $885 from $770 and kept an outperform rating, according to Stocktwits.
Meta shares finished Thursday up 4.5%.
Price targets reflect analysts' expectations, not a guarantee of where the shares will end up.
More than Muse
Muse, Meta's AI assistant, remains at the heart of the enthusiasm.
The more revealing development, though, is how closely Meta is tying it to physical products.
Smart glasses, a dedicated companion device and a new virtual reality (VR) design give the company several routes into users' daily routines.
The commercial question is whether those products can turn occasional AI use into a habit.
What Meta unveiled
Connect gave a clearer picture of that ambition. Meta announced camera-free Ray-Ban Audio glasses, updated its camera-equipped range and showed off VR Glasses due in spring 2027.
The line-up covers everything from listening to music and taking calls to watching films and working on virtual screens.
Why investors are keen
The attraction for investors is clear.
A device people wear every day would give Meta more chances to offer services throughout the day.
If customers get used to asking their glasses for help, Meta could build a relationship that extends well beyond the moments someone opens a social media app.
That is a potential outcome, not revenue already in the bag.
A rethink from Munster
The shift in sentiment has also prompted some public reassessment.
Investor Gene Munster acknowledged that his forecast of a flat or negative market reaction had missed the significance of Mark Zuckerberg putting Muse at the centre of Meta.
His revised view focused on the scale of the strategic commitment rather than any single hardware specification.
The hard part
There is still a long way between a persuasive presentation and a successful consumer platform.
Meta must convince buyers that the products are worth the price, fit comfortably into everyday life and offer help worth coming back for.
It must also show that those services can make money once the costs of hardware development and AI computing are covered.
The real evidence will come from customers: what they buy, how often they use it and whether they stick with it once the novelty fades.
Wall Street has raised its expectations, and Meta now has to turn that confidence into lasting demand.
