Meta launched Meta Enterprise Platform on 28 September 2026 to sell its AI stack to businesses and hired MongoDB chief executive CJ Desai to run it. We set out what the unit will sell, Desai’s record, why MongoDB’s shares closed 18.5% lower, how Meta’s pricing compares, and the questions businesses should ask before building on Meta’s enterprise AI.
At Connect 2026 on 23 September, Mark Zuckerberg revealed Muse Charm, a palm-sized keychain device for talking to Meta’s Muse AI agent. It has a touchscreen of about 2 inches with a customisable animated character, a fingerprint sensor that starts a conversation, a real-time voice model and built-in 5G. It ships in time for the December holidays, with no price yet. This article covers what Meta confirmed, why reviewers compare it to a Tamagotchi, how it fits the Muse agent, the unanswered questions on price, battery and camera, the history of failed AI gadgets such as the Humane AI Pin and Rabbit R1, and what businesses should watch.
At Connect 2026 on 23 September, Meta launched Ray-Ban Meta Gen 3 glasses, camera-free Ray-Ban Meta Audio, an FDA-cleared hearing feature, $1,299.99 Meta VR Glasses and the Muse Charm pocket device, all built around its Muse agent. Mark Zuckerberg used the keynote to reject calls for a coordinated AI slowdown, arguing that spreading AI widely is safer than concentrating it. This article covers the launches, the prices, the $4.62 billion quarterly Reality Labs loss behind them, and where Meta’s case against AI doom is strong and weak.
Mark Zuckerberg opened Meta’s Connect conference in Menlo Park on 23 September 2026 with a keynote built around AI-era products, weeks after the launch of the Muse agentic app and a month after an $18 billion settlement with US state attorneys general over children’s online privacy. Meta and EssilorLuxottica sold more than 7 million smart glasses in 2025 against about 2 million in the two previous years combined, with reported ambitions of 20 million a year. This article separates the product lines, the numbers and the privacy objections that actually hold.
When the biggest AI labs ask to slow down and write shared rules, are they protecting the public or their lead? We set out the four camps in the AI safety debate, from Amodei, Altman and Musk to Zuckerberg, Huang, David Sacks and Cohere’s Aidan Gomez, the evidence on each side, and a five-question test that separates safety measures from power grabs.
In the week of 14 September 2026, Sam Altman, Dario Amodei, Demis Hassabis, Satya Nadella and Elon Musk all agreed in public that frontier AI development should slow down. It is not the first time. The Verge’s Sean Hollister assembled the record on 16 September 2026, and it runs from Elon Musk’s July 2017 warning to US governors through Congressional testimony, a 22-word extinction statement, four nonbinding White House and summit agreements, and two California bills. Fifteen dated entries produced exactly one enforceable American statute: SB 53, signed in September 2025. This article walks the whole timeline, marks each entry binding or not, sets out where Anthropic, OpenAI, Musk and Meta actually split on specific measures, and explains what a business should do in a market where the safety rules are still mostly voluntary.
At the G20 Innovation Ministerial in Chapel Hill on 1–2 September 2026, Mark Zuckerberg and Elon Musk asked the world’s largest economies to clear the way for more AI data centers. Zuckerberg said Meta cannot find the skilled tradespeople to build them; Musk warned of a significant power shortfall arriving next year and put AI’s upside at $20–30 trillion a year. This article covers what each executive asked for, the Gallup, Emerson and Consumer Reports polling showing Americans turning against data center construction, the 439,000-worker labor gap behind the plea, and what the buildout fight means for businesses buying AI capacity.
Project OT — short for Organization Transformation — was Meta’s plan to make the company “AI native” by handing much of its routine work to software agents, leaving small “talent-dense” pods of humans to supervise them. A Reuters special report published on 26 August 2026 says the plan was drawn up at Mark Zuckerberg’s Hawaii compound in January, modelled team cuts of up to 60 per cent, and was abandoned in part on the evening of 19 May, hours before the first wave of notices went out. This breakdown covers what Project OT actually was, the pod and village structure it introduced, the internal metrics that undermined it, the keystroke-tracking software that triggered an employee revolt, the 8,000 layoffs and 7,000 redeployments that did happen, and what any organisation writing an AI workforce plan should take from it.
Zuckerberg AI messaging reached its loudest point on 10 August 2026, when Mark Zuckerberg published a 6,500-word essay called “The Future is for Everyone” arguing that personal superintelligence should be handed to everybody rather than concentrated inside a handful of frontier labs. The reception was not what Meta wanted. Within a week TechCrunch had run […]
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