Meta is taking AI agents beyond answering questions.
With Muse, the company is betting that people will eventually trust AI to do things on their behalf, including tasks involving their money.
The pitch is compelling. Muse can track spending, identify subscriptions, look for better deals, negotiate bills, find unclaimed money and help users build a budget. It can even make purchases after getting approval.
But personal finance is different from booking a restaurant or planning a trip.
When an AI agent gets access to your bank accounts, credit cards and spending habits, the question is no longer simply “Can it save me money?”
It becomes “How much control am I comfortable giving it?”
What exactly is Meta’s Muse?
Muse is Meta’s personal AI agent designed to take actions rather than simply respond to prompts.
That distinction matters.
A traditional chatbot might tell you how to create a budget. An agent like Muse is designed to actually help carry out that plan.
It can:
- Open a browser and fill out forms
- Send emails
- Book travel and restaurants
- Track spending
- Monitor subscriptions
- Search for better prices
- Help negotiate bills
- Look for unclaimed money
- Make purchases with your approval
Meta is positioning Muse as an everyday assistant that can work toward a goal after you give it instructions.
That could make personal finance less time-consuming for people who struggle to keep track of where their money is going.
But it also means the AI needs access to increasingly sensitive information.
The money-saving case for Muse is easy to understand
Most people know they should pay closer attention to their finances.
The problem is actually doing it.
Subscriptions get forgotten. Bills increase quietly. Free trials turn into recurring charges. Small purchases add up. Insurance and service providers may offer better rates, but finding them takes time.
This is where an AI agent could be genuinely useful.
1. It can track spending
Once connected to a bank account, Muse can review transactions and help users understand their spending patterns.
It can identify recurring purchases, help establish a budget and provide regular check-ins around savings goals.
Instead of waiting until the end of the month to realize you overspent, an agent could keep the process running in the background.
2. It can hunt down subscriptions
Subscription fatigue is real.
People often forget about services they signed up for months or years ago.
Muse can scan linked accounts, identify recurring payments and help users decide what is still worth paying for.
The useful part isn’t just finding subscriptions once.
It can continue monitoring them.
That creates the possibility of catching forgotten free trials, recurring charges or expenses that have quietly increased.
3. It can negotiate bills
This is one of the more interesting use cases.
Muse can examine bills and expenses, identify potential errors or duplicate charges and look for opportunities to reduce costs.
In some cases, it can attempt to negotiate with service providers.
If the process requires speaking with a representative, Muse can start the process and connect the user to the call.
For consumers, this could turn a task that is usually avoided into something much easier to tackle.
4. It can look for money you forgot about
Muse can search databases for unclaimed property.
That could include money connected to old bank accounts, previous employers, utility payments or other sources.
The agent can also help begin the process of claiming that money.
This is a good example of where AI could be useful without necessarily making complicated investment decisions.
It is essentially helping people find financial opportunities they may have overlooked.
5. It can shop around for better prices
Muse can search for cheaper alternatives before a purchase.
It can also monitor an item after you buy it and check whether its price falls.
If a lower price triggers a benefit under a credit card’s purchase protection policy, Muse can help navigate the claim.
And if you want it to, Muse can make purchases for you.
But there is an important safeguard here.
Muse is designed to ask for approval before spending money.
That means the agent isn’t supposed to independently decide that you need a new pair of shoes or a new laptop and charge your card without your knowledge.
But managing money is not the same as managing a calendar
This is where things get complicated.
Giving an AI access to your calendar is one thing.
Giving it access to your bank account is another.
Financial information can reveal an enormous amount about a person.
It can show:
- Where you live
- Where you shop
- What services you use
- How much you earn or spend
- Your recurring bills
- Your travel patterns
- Your financial priorities
- Your relationships and lifestyle
The more capable an AI agent becomes, the more useful access to this information can be.
But that also makes the information more sensitive.
Meta itself says Muse isn’t perfect
This is probably the most important part of the conversation.
Meta has built security measures into Muse, including protections around passwords and payment methods, approval requirements for certain actions and records of past and future actions.
Those safeguards matter.
But they don’t eliminate risk.
Meta acknowledges that Muse can make mistakes and isn’t immune to attacks.
That means users still have to decide what level of access they are comfortable giving an AI.
And experts remain cautious.
Eva Velasquez, CEO of the Identity Theft Resource Center, has raised concerns about the technology being relatively new and about the implications of sharing sensitive financial data with third-party services.
That caution makes sense.
The technology may be improving quickly, but financial trust takes longer to build.
The biggest risk may not be a dramatic mistake
People often think about AI financial risks in terms of one catastrophic event.
A hacked account.
A wrong payment.
An unauthorized purchase.
Those are obvious risks.
But there is another issue that deserves attention:
What happens when an AI consistently makes small decisions on your behalf?
Imagine Muse notices that you spend too much on food delivery.
It recommends cutting back.
Then it finds a cheaper insurance policy.
Then it cancels an unused subscription.
Then it recommends a cheaper product when you shop.
Individually, these decisions may seem harmless.
But over time, an AI agent could become deeply embedded in how someone manages their financial life.
That makes transparency and control just as important as security.
You should know what the agent is doing, why it is doing it and when it needs your approval.
You don’t have to give Muse everything
This may be the most sensible middle ground for cautious users.
Instead of immediately connecting every financial account, users can provide limited information.
For example, someone could upload recent bank or credit card statements after removing information they don’t want to share.
Muse could still help:
- Identify recurring expenses
- Spot unnecessary spending
- Build a budget
- Find spending patterns
- Suggest areas where money could be saved
The trade-off is simple.
More access can make the agent more useful, while less access can reduce the amount of sensitive information being exposed.
For many people, starting with limited information may be a more comfortable way to test what the technology can actually do.
So, should you let AI manage your money?
There isn’t a universal answer.
For some people, Muse could be genuinely useful.
If you regularly forget subscriptions, avoid negotiating bills or struggle to keep track of spending, an agent that handles these repetitive tasks could save both time and money.
But that doesn’t mean users should automatically hand over complete financial access.
A sensible approach is to start small.
Use AI for budgeting and spending analysis first.
Then consider whether you are comfortable allowing deeper access.
And whenever an agent can spend money on your behalf, make sure you understand exactly what requires approval and what doesn’t.
The real test isn’t whether Muse can manage your money
The technology is already moving in that direction.
The bigger test is whether consumers can trust it enough to let it do so.
AI agents are becoming less like tools we ask questions to and more like digital assistants that can act independently.
That shift could completely change personal finance.
Instead of people constantly checking bills, comparing prices and tracking subscriptions, an AI could handle much of the administrative work.
That sounds attractive.
But when the assistant has access to your financial life, convenience cannot be the only measure of success.
The winning AI financial assistant won’t simply be the one that saves you the most money. It will be the one that gives you enough control, transparency and security to feel comfortable letting it act on your behalf.