Meta wants personal AI agents to become its next major consumer product, with software that works around the clock to help people manage goals involving health, relationships, money and daily life. Chief Executive Officer Mark Zuckerberg outlined that ambition during the company’s second-quarter 2026 earnings call on Wednesday, presenting agents as both a practical assistant and a future source of revenue.
The pitch is aimed well beyond developers, who have so far been the most willing to tolerate the setup and supervision that AI agents often require. Meta’s challenge is to make the technology simple enough that billions of people might trust it with meaningful parts of their lives. That is a considerably higher bar than asking an AI tool to clean up some code.
What does Zuckerberg want personal agents to do?
Zuckerberg said Meta expects agents eventually to operate continuously on a user’s behalf.
“Soon we will have agents that can work 24/7 on your behalf to help you achieve your goals and improve your life, your health, your relationships, your finances, whatever you want.”
He acknowledged that coding has been the first area where agents have gained significant traction. Engineers are generally more comfortable adjusting prompts, fixing errors and spending time getting the tools to behave as intended. A mass-market agent, he argued, cannot demand that level of patience.
“To build great personal agents, this needs to be a great consumer product that just works out of the box and is easy enough for billions of people to adopt and use,” Zuckerberg said.
That framing distinguishes Meta’s proposed approach from much of the work at Anthropic and OpenAI, where coding and workplace agents have been major priorities. Google has also moved into more personal assistance with its Gemini Spark tool, although Meta has not yet provided enough detail to show how its own system would compare.
Zuckerberg said the company would share more “soon.” Earlier in the call, he described personal agents as “the foundation for our next wave of products and revenue lines in the months and years ahead.”
Why could Meta face a trust and access problem?
Meta brings enormous reach to the project through Facebook, Instagram, WhatsApp and Messenger. What it does not have is the same direct connection to email, calendars and work documents that Google and Microsoft can use to make their assistants more useful.
The company also remains behind the largest specialist AI laboratories in some areas of model development. Closing that gap while producing a polished consumer service will require more than broad promises about improving users’ lives.
Trust may be the harder obstacle. A personal agent becomes useful by learning a great deal about the person using it, potentially including private information about finances, relationships and health. Meta’s long history of privacy controversies could make some users reluctant to provide that access. Its smart glasses have already revived concerns about cameras and data collection in everyday settings.
In other words, Meta must persuade people not only that its agents work, but that handing them intimate information is a sensible exchange. Convenience can be persuasive, though it does not automatically erase institutional memory.
How widely are Meta’s business agents being used?
Meta already offers business-focused agents through WhatsApp and Messenger. Zuckerberg said more than 1 million businesses use those tools each week, and the company is now expanding them to Instagram.
Those services give Meta an existing route into automated customer support and commercial messaging. They also offer a practical testing ground for agent technology before the company asks consumers to rely on it for more personal tasks.
The planned expansion follows the launch of Meta’s Muse Spark AI model in the previous quarter. Meta recently released Muse Spark 1.1, an update designed to improve coding capabilities.
The company has also reorganized around artificial intelligence on a large scale. It reportedly reassigned 7,000 employees to new AI initiatives, even as it laid off about 8,000 people in May. The combination makes Meta’s priorities fairly clear, if not especially subtle.
How much is Meta spending on its AI plans?
Building agents for billions of potential users requires substantial computing capacity. Meta said during its earnings report that it expects capital spending of $130 billion to $145 billion in 2026.
A day before the earnings call, the company announced plans to build a 1-gigawatt data center campus in partnership with BlackRock. The project forms part of the infrastructure needed to train and operate increasingly demanding AI systems.
Meta also disclosed another measure of the audience available for those products: Instagram now has more than 2 billion daily active users, according to Zuckerberg.
That scale gives Meta an advantage few companies can match. It can place new AI features directly inside services people already use every day. Whether those users will welcome an always-available assistant into their private decisions is the more consequential question, and one that raw computing power cannot answer on its own.
