日本語 
Meta has entered the increasingly competitive personal AI agent market with the launch of Muse, a new AI system designed not simply to answer questions but to take action on behalf of users. The development could mark an important shift in how consumers and businesses interact with artificial intelligence, particularly as AI moves from conversational assistance toward autonomous task execution.
Meta introduced Muse on September 8, describing it as a personal AI agent capable of helping users manage everyday tasks, coordinate projects and turn longer-term goals into action plans. The service initially launched in the United States for users aged 18 and above through a dedicated app and WhatsApp.
For Japan’s technology industry, Muse is significant because it illustrates where the next phase of AI competition could be heading: systems that can understand context, access digital services and complete multi-step tasks with limited human intervention.
From AI Assistant to AI Agent
Traditional AI assistants largely depend on users providing instructions and then receiving an answer. Agentic AI takes the concept further by allowing software to plan and execute actions.
Meta says Muse can open a browser, fill out forms, send emails, book travel and negotiate on a user’s behalf. For longer-running tasks, the system can continue working after the user closes the app and return when approval or additional input is required.
That distinction could have major implications for Japan’s software industry.
Japanese companies are increasingly adopting AI for customer service, productivity, document processing and internal workflows. The rise of personal agents could push businesses to rethink software interfaces altogether. Instead of employees manually moving between multiple applications, an AI agent could potentially coordinate several services through a single conversational interface.
This could create opportunities for Japanese enterprise-software companies to make their platforms more accessible to AI agents through APIs, permissions and structured data.
Privacy Becomes a Competitive Requirement
The ability to act independently also creates a much larger security challenge.
Muse is built on Meta Secure VM, a dedicated virtual machine designed to isolate the AI agent and user data. Meta says a separate “Sentinel” agent controls whether Muse can access the internet, while users remain responsible for determining which applications Muse can connect to and what permissions it receives.
Meta also says Muse requests approval before sensitive actions such as sending an email or making a purchase and provides an audit trail of its activities. The company plans to introduce a Confidential VM later this year in which the user holds the encryption key.
This approach highlights a key issue for Japan’s AI market: trust could become just as important as model performance.
As AI systems gain access to email, calendars, financial services, shopping platforms and business applications, Japanese organizations will need stronger identity management, authorization systems, monitoring and data-protection technologies.
New Opportunities for Japan’s AI Industry
Muse could stimulate demand across several parts of Japan’s technology ecosystem.
AI developers will need models capable of planning and executing multi-step tasks. Cloud providers will need secure environments capable of isolating autonomous agents. Cybersecurity companies will need to protect agents against prompt injection, credential theft and unauthorized actions.
There is also an opportunity for Japanese startups to develop specialized agents for domestic industries.
Japan’s complex business processes and aging workforce could create demand for AI agents supporting areas such as administrative work, travel, retail, financial services, healthcare operations and customer support. Localized Japanese-language capabilities and integration with domestic enterprise systems could become important competitive advantages.
Agentic AI Could Change Enterprise Software
The emergence of personal AI agents may eventually challenge the traditional software-as-a-service model.
Today, employees typically open individual applications for email, project management, accounting, travel booking and other activities. An agent-based model could put the AI between the employee and these applications, with the agent determining which tools are required to complete a task.
For Japanese software companies, this creates both a risk and an opportunity.
Companies whose products are difficult for AI agents to access could lose visibility in the future software stack. Meanwhile, vendors that make their services agent-ready could gain new distribution channels.
This could accelerate investment in APIs, machine-readable interfaces, permission frameworks and AI-native workflow automation.
Safety Could Determine Adoption
Despite the potential, autonomous AI agents will face a major hurdle: users must trust them enough to let them act independently.
Recent reporting on Muse has highlighted the importance of privacy and security as Meta attempts to build that trust.
For Japan, where reliability and data protection are particularly important in enterprise and public-sector technology, safety could become a defining requirement for agentic AI adoption.
Companies will likely need systems that provide clear permissions, human approval for high-risk actions, transparent activity logs and mechanisms for quickly revoking access.
Japan Could Benefit From the Agentic AI Shift
Meta’s Muse launch signals that the AI industry is moving beyond chatbots toward systems capable of performing real-world digital work.
Also Read: Clutchy Expands AI Development With Image and Video
For Japan’s technology sector, this transition could create a new wave of opportunities across AI development, cybersecurity, cloud computing, enterprise software and workflow automation. It could also encourage businesses to redesign how employees interact with digital tools.
The biggest opportunity may not come from replacing existing software, but from creating a new layer of intelligent software capable of connecting those systems.
As personal AI agents become more capable, Japan’s technology companies that can combine automation with security, privacy and localized business expertise could be well positioned for the next stage of the AI economy.
English