Apple Wants to Make Siri More Like Meta’s Muse AI

Key Takeaways

• Apple is reportedly exploring a more autonomous version of Siri that could operate like Meta’s Muse, OpenAI’s Dots and xAI’s Grok.
• The proposed upgrade could allow Siri to track goals, manage ongoing tasks and take actions in the background without requiring repeated instructions.
• Bloomberg’s Mark Gurman believes the change could arrive as early as 2027, although Apple has not confirmed a launch timeline.
• Apple’s revamped Siri AI already offers personal-context understanding, onscreen awareness and deeper integration with apps.
• Apple is also reportedly changing its internal software development process to give engineers more time for coding and experimentation.
• Privacy, security and user approval will be major challenges as Apple considers giving Siri greater independence.

Apple Wants Siri to Become More Than a Voice Assistant

Apple is reportedly preparing another major step in its artificial intelligence strategy, with plans to make Siri more like an autonomous AI agent.

The company wants its assistant to move beyond answering questions and carrying out individual commands. Instead, Siri could eventually understand a user’s goals, determine what needs to happen next and continue working towards those objectives without waiting for a new instruction every time.

The development was reported by Bloomberg’s Mark Gurman in his Power On newsletter on November 8, 2026. Gurman said Apple wants Siri to move towards the capabilities demonstrated by OpenAI’s Dots, Meta’s Muse and xAI’s Grok.

These AI agents can maintain context, work on tasks in the background and continue pursuing objectives after the initial conversation.

According to Gurman, Apple could make Siri more agent-like as early as next year. However, the exact implementation remains unclear, and the company has not publicly confirmed the reported plan.

The move would represent a significant change in how people interact with Apple’s voice assistant. Rather than simply responding to requests, Siri could become a digital assistant that helps manage work and personal activities over an extended period.

What Does an Agentic Siri Actually Mean?

Traditional voice assistants generally follow a request-and-response model.

A user asks Siri to set an alarm, send a message or check the weather. Siri processes the command and performs the requested action. If the user wants something else, another instruction is required.

An autonomous AI agent works differently.

It can receive a broader objective, break it into smaller tasks, determine the necessary steps and continue working towards the result.

For example, imagine asking Siri to help organise a business trip.

A conventional assistant might search for flights or add a calendar event when instructed. A more advanced agent could potentially monitor travel arrangements, organise relevant information, identify scheduling conflicts and remind the user when action is needed.

Another example could involve managing an ongoing project. Instead of repeatedly asking Siri to check individual updates, a user could give it a goal and allow it to monitor connected information sources, prepare follow-up actions and report important changes.

These are illustrative possibilities, not confirmed features of Apple’s future Siri.

The central difference is that an agent can manage a sequence of related actions rather than treating every request as an isolated command.

Meta’s Muse Shows the Direction Apple Is Watching

Meta introduced Muse in September 2026 as a personal AI agent designed to help people manage tasks and longer-term goals.

Unlike a conventional chatbot, Muse is designed to take action across connected applications. Users can give it an objective, and it can develop a plan, perform work in the background and return when it needs information or approval.

Meta Muse: Key Capabilities

Capability	What it does
Goal management	Turns broader objectives into action plans
Background work	Continues working after users leave the app
Browser access	Opens websites and interacts with online services
App connections	Works across applications users choose to connect
Personal memory	Uses relevant information from previous interactions
User approval	Requests permission before certain sensitive actions
Activity tracking	Provides visibility into actions and planned work

One important part of Muse’s architecture is its dedicated cloud-based virtual machine, called Muse Secure VM.

This gives the agent an environment in which it can access connected services and perform tasks. Meta also describes a separate Sentinel system that reviews actions and helps control what the agent can do.

The company says Muse requires user approval for sensitive activities such as sending emails or making purchases. Users can also control which applications are connected and the permissions granted to the agent.

This approach is important because autonomous agents need access to personal information and digital services to perform useful work.

Apple appears interested in moving Siri towards a similar proactive model, although it has not explained how it would implement the necessary background execution, permissions and safeguards.

Apple’s New Siri AI Is Already a Major Upgrade

The reported agentic ambitions build on Apple’s revamped Siri AI, introduced in June 2026 and subsequently rolled out with its 2027 software releases.

The redesigned assistant includes several capabilities that were not available in the traditional version of Siri.

Existing Siri AI Capabilities

Feature	Function
Personal context understanding	Finds relevant information across messages, emails and photos
Onscreen awareness	Understands information displayed on the user’s screen
Natural conversations	Supports more detailed, conversational interactions
Web knowledge	Answers questions using broader information sources
App actions	Performs supported tasks across Apple’s applications
Siri AI app	Provides a dedicated place to revisit conversations

For example, users can ask Siri to find information from an earlier conversation, locate a hotel confirmation in an email or identify photos from a particular trip.

It can also help with tasks such as drafting emails and editing and sharing photographs.

Apple has additionally started opening Siri AI to third-party developers through its App Intents framework.

In its November 3 developer announcement, Apple said developers could bring their applications’ content and actions directly into Siri AI. This allows users to make requests in natural language and ask Siri to perform supported actions, such as checking deliveries, booking reservations or placing orders.

Apple also introduced a skills capability that allows developers to combine multiple actions into a more complex experience.

These changes provide some of the technical foundations for a more capable assistant. However, executing a series of actions when explicitly asked is different from independently tracking a goal and deciding what to do next.

That is the next major challenge Apple reportedly wants to address.

Apple Is Also Changing How Its Engineers Develop Software

The reported Siri ambitions are arriving alongside changes to Apple’s internal software development process.

According to Gurman’s reporting, Apple is giving engineers more time for coding, experimentation and feature development during the initial development cycle for iOS 28.

Traditionally, the company divided an eight-week development cycle into two four-week periods:

• Four weeks for coding and feature development.
• Four weeks for integration and bringing the work together.

For the first iOS 28 development cycle, Apple reportedly changed that arrangement to six weeks of coding and exploration, followed by two weeks of integration.

The change is intended to give engineers more room to develop ideas before moving into the integration stage.

This could be particularly important as AI tools change how software is developed. Engineers can use AI-assisted coding tools to explore possibilities, generate code and test ideas more quickly.

However, faster development does not automatically produce better software. Apple still needs to ensure that new features work reliably across its operating systems and devices.

The reported changes suggest that the company is looking at its internal processes as part of a broader effort to accelerate software development.

Why Apple Needs a More Autonomous Siri

Apple’s AI strategy faces increasing competition from companies building assistants that can do more than answer questions.

Meta is positioning Muse as a personal agent that can manage tasks across connected services. OpenAI’s Dots is designed to help users pursue longer-term objectives, while xAI is also developing agent-based experiences.

These products reflect a broader change in the AI industry: companies increasingly want their models to complete work rather than simply generate responses.

For Apple, the opportunity is particularly significant because Siri is already deeply integrated into the iPhone, iPad, Mac, Apple Watch and other products.

A more capable Siri could potentially become a central interface for managing everyday activities across Apple’s ecosystem.

Instead of opening multiple applications, users could describe what they want to achieve and let Siri coordinate supported actions.

Apple’s App Intents framework could help make this possible by giving Siri structured access to application features and actions.

However, Apple must also address a difficult question: how much independence should an AI assistant have?

An agent that can read messages, access calendars, interact with websites and send information on a user’s behalf creates additional privacy and security risks.

The company will need clear permission controls, activity records and safeguards around sensitive actions. Users should also be able to understand what Siri is doing and stop it when necessary.

The Biggest Challenge Is Trust, Not Just Intelligence

Building an AI assistant that can understand instructions is one challenge. Allowing it to act independently across personal accounts and applications is considerably more complicated.

A mistake in a normal chatbot response may be inconvenient. A mistake by an autonomous agent could have real consequences.

For example, an assistant might send an incorrect email, change an important calendar event, make an unwanted purchase or share private information with the wrong recipient.

Apple has historically promoted privacy as a central part of its product strategy. Its Apple Intelligence architecture uses on-device processing and Private Cloud Compute for supported features.

A more autonomous Siri would need to maintain those privacy commitments while gaining access to more information and performing more actions.

The company could also choose to limit its agent’s independence. Some actions might happen automatically, while others could require confirmation.

Finding the right balance between convenience and control will be essential if Apple wants people to trust Siri with more complicated responsibilities.

The Bigger Picture

The AI industry is moving from conversational assistants towards systems that can plan, remember, interact with applications and complete multi-step tasks. Meta’s Muse, OpenAI’s Dots and similar products are helping establish a new category in which AI is expected to do work in the background rather than simply respond to questions.

Apple’s reported interest in making Siri more agentic suggests that it recognises this shift. Its existing integration with Apple devices and applications could provide an advantage, but the company will need to deliver reliable autonomous actions without weakening its privacy protections.

The competition is no longer only about which assistant gives the best answer. It is increasingly about which assistant can safely and consistently complete the user’s work.

Frequently Asked Questions

1. Does Apple want to make Siri like Meta’s Muse AI?

According to Bloomberg’s Mark Gurman, Apple wants Siri to become more like autonomous AI agents such as Meta’s Muse. The proposed direction would allow Siri to track goals, manage ongoing tasks and work in the background.

2. When could the new agentic Siri arrive?

Gurman believes Apple could move Siri towards a more autonomous model as early as 2027. Apple has not officially announced a release date.

3. What is Meta Muse AI?

Meta Muse is a personal AI agent introduced in September 2026. It can develop plans, interact with connected applications, perform tasks through a browser and continue working in the background.

4. What can the current Siri AI do?

The redesigned Siri AI offers personal-context understanding, onscreen awareness, natural conversations and supported actions across applications. It can help users find information in messages and emails, draft content and perform tasks in supported apps.

5. What is the difference between an AI assistant and an AI agent?

An AI assistant generally responds to individual questions and commands. An AI agent can work towards a broader objective by planning multiple steps, using connected tools and continuing tasks with less repeated instruction.

6. Has Apple officially confirmed the new autonomous Siri?

No. The proposed move towards a more autonomous Siri is based on Bloomberg reporting. Apple has not publicly confirmed the reported roadmap or specific features.

Looking Ahead

Apple’s reported plan to make Siri more like Meta’s Muse represents a potentially important change in its AI strategy. The company has already rebuilt Siri with stronger language understanding, personal context and deeper app integration. Giving it the ability to manage ongoing objectives could make the assistant significantly more useful.

The real test will be whether Apple can make Siri proactive without making it unpredictable. Users will expect an assistant that saves time, completes tasks and understands their needs, but they will also want control over their personal information and digital activities. If Apple gets that balance right, Siri could become much more than a voice assistant.