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Meta joins enterprise agent race with Muse Wonder, facing a trust gap
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Esther Shittu

· 1 min read

BusinessAI Business

Meta joins enterprise agent race with Muse Wonder, facing a trust gap

Kenneth Cheung via Getty Images

Meta introduced models on Monday that target personal and professional agentic tasks, capitalizing on the momentum of its successful Muse personal agent, released last month.

Muse Wonder and Muse Wonder Full expand on the launch of Meta Muse. Powered by the Muse Spark model, Muse is an AI agent that does tasks for individuals, such as web browsing, planning trips, making purchases and organizing emails.

The new models expand Muse’s capabilities by applying specialized knowledge to circumstances users encounter at work in domains such as law, finance, and health. Meta said. These are the first frontier models the Facebook, Instagram and WhatsApp parent company has released to compete with Anthropic, OpenAI and Google. Meta said they're the next step in bringing personal superintelligence to its customers.

A new age

While the models are geared mainly toward consumers, they are also part of a fast-developing trend of AI agents capable of operating in enterprise environments.

“This has been the focus for the last year or two that we are moving away from chatbots and going to this agentic world where [we're] able to delegate some tasks that these systems can do,” said Chirag Shah, a professor at the University of Washington in Seattle.

With Meta Muse, OpenAI Dots and Gemini Agent, AI is on the verge of its next big milestone, he added. Other popular new personal agents include Grok Bot from SpaceXSI, Instinct and Hermes.

OpenClaw, now part of OpenAI, pioneered the personal agent trend only 10 months ago, but it was difficult to use. These agents are not.

Meta and enterprises

“They’re really trying to steer these models to be more effective at personal agentic workflows,” said Arun Chandrasekaran, an analyst at Gartner. “They’re enabling these agents to be more specialized at daily tasks.”

Businesses could also remain cautious about models like these because they need to determine whether they can connect them to applications they already use.

Original source

This story was published by AI Business and written by Esther Shittu. SyncAI.news shows a preview; the complete article is on the publisher's site.

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