Meta CEO Mark Zuckerberg admitted AI agents haven't progressed the way the social-media company hopes but that doesn't mean he's giving up on the technology.
Meta CEO Mark Zuckerberg told employees Thursday (July 2) that artificial intelligence (AI) agents have not progressed as quickly as he expected, a rare admission from the executive who bet his company's structure, and as much as $145 billion in infrastructure spending this year, on the technology.
Meta's AI chief, Alexandr Wang, says its coming Watermelon AI model now matches OpenAI's GPT-5.5. Wang shared the update at a town hall as Meta CEO Mark Zuckerberg doubles down on AI investments.
Meta Chief Executive Mark Zuckerberg told an internal town hall on Thursday that AI agent development over the last four months has not "accelerated in the way we expected," according to a recording heard by Reuters.
Meta's stock is soaring on signs it could be on the verge of launching a new business.
Meta is getting into gaming with the launch of a new app called Pocket, which allows people to generate small, interactive apps and games using AI prompts. The software, a result of Meta's acquisition of the team at the vibe-coded gaming platform Gizmo earlier this year, describes itself as “a creative platform for making and sharing gizmos,” which is what the interactive experiences are called.
Meta Platforms (NASDAQ:META | META Price Prediction | META Price Prediction) is the AI story hiding in plain sight.
Meta Platforms' WhatsApp usernames aim to boost privacy by letting users connect without sharing phone numbers, reinforcing its secure messaging push.
Jefferies Senior Internet Analyst Brent Thill recently appeared on a CNBC Squawk Box segment to argue that Meta Platforms (NASDAQ:META | META Price Prediction) is making the right strategic move by entering the enterprise AI infrastructure market, even if it's arriving years after established competitors.
The most expensive infrastructure buildout in corporate history just found a possible second act.
Meta Platforms (META) was a big mover last session on higher-than-average trading volume. The latest trend in earnings estimate revisions might not help the stock continue moving higher in the near term.
Mega-cap technology sector leaders are fundamentally altering the landscape of artificial intelligence (AI) infrastructure by transforming internal compute clusters into highly scalable revenue channels.