Meta’s Muse Could Upend All Kinds of Businesses. It Hasn’t Yet
Companies have spent the past several weeks trying to reassure investors that Muse and other AI agents pose more of an opportunity than a threat.
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AI execs may be too out of touch to build for the general public
Tech leaders are flaunting how out of touch they are when they brag about using AI to connect with their families.
AI Agents Are Media’s New Favorite Audience
As agents go mainstream, some publishers are hoping that people will pay for content tailor-made for AI—not humans.
How OpenAI turned its coding tools into dots, an always-on personal assistant
Alexander Embiricos, the OpenAI executive responsible for dots, never wants to have a meeting with someone else's AI agent.
What to watch for as enterprises move from AI experimentation to autonomous operations
For the past three years, the enterprise artificial intelligence conversation has focused on what models can say. The next three years will be about what systems are allowed to do. That’s a harder problem that better models alone won’t solve. On Wednesday, Oct. 28, I’ll be in Boston for the Bloomberg Tech Event: Building the […] The post What to watch for as enterprises move from AI experimentation to autonomous operations appeared first on SiliconANGLE.
The RealReal won’t let AI agents hog designer clothing
The RealReal, a secondhand luxury fashion consignment retailer, said it's updating its bot defense system, effectively making it harder for AI agents to shop on its site. The change comes days after The Verge reported that an AI agent could be used to take advantage of The RealReal's item reserve system. On the retailer's website, […]
Kevin Roose is AGI-pilled. Why aren’t you?
Today, I’m talking to Kevin Roose, journalist and author of the new book The AGI Chronicles, which details the recent and explosive transformation of the AI industry. Kevin was a longtime New York Times reporter and host of the popular podcast Hard Fork, but he and friend of the show Casey Newton just left the […]
Meta is vigorously promoting the Muse AI agent network: humans will primarily communicate with one another through AI agents.
Mark Zuckerberg is vigorously advancing a vision of the future built on autonomous AI agents—Muse will shop, work, and even engage in conversations with other AI agents on behalf of users. This vision gained attention following Meta’s Q3 2026 earnings call; Muse was made available to the public last month, though its actual capabilities and large-scale deployment remain in the early stages.
Spotify bets on the AI assistant era: becoming the music service of choice for AI assistants
Spotify co-CEO Gustav Söderström stated during the Q3 2026 earnings call that the rise of AI agents will not diminish the value of streaming platforms; on the contrary, it will reinforce Spotify’s unique advantage—its vast trove of personalized listening data and deep agent integration capabilities, making it the preferred music service interface for third-party AI assistants.
Meta confirms that the AI app Muse has surpassed 10 million users, with shopping emerging as its core use case.
During its Q3 2026 earnings call, Meta confirmed that the number of users of its AI agent app, Muse, has surpassed 10 million; approximately 25% of new users engage with it daily, with shopping being the most frequent activity—over a quarter of active shopping users spend more than $200 per transaction on average. Meanwhile, Plaid reported that its payment connector’s API calls on Muse have reached an all-time high.
Optimizing the internet for AI agents may make it harder for ordinary users to navigate the web.
With the large-scale launch of personal AI agent apps like OpenAI Dots and Meta Muse, AI agents are emerging as the third category of web visitors, following humans and traditional web crawlers. They perform tasks entrusted by real users—such as booking rooms or comparing prices—at machine speed, but because they don’t fit within the existing “human–machine” dichotomy, they’ve been widely blocked by platforms like Pizza Hut, Yelp, and Amazon. If agent traffic continues to grow, websites may shift toward prioritizing AI agents—for example, Shopify has already created a dedicated checkout channel for them—which could lead to worse interfaces, more frequent verification steps, dynamic pricing, and distorted recommendations for human users. The key issue right now is the still‑unsettled regulatory framework: should agents be allowed to enhance consumers’ bargaining power, or should companies be permitted to keep them out?
Meta Releases Muse Spark Open: Can Businesses Run Powerful AI Without the Cloud?
Meta and Apple have shown that massive AI models can run on desktop computers. But making that technology work for a business takes more than just buying the machines.
Meta’s Muse Can Look Like Human Traffic. Can Websites Trust AI Agents?
An AI agent can shop, log into accounts and even complete security checks for a real customer—but what happens when the website has no idea it’s dealing with AI?