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Mark Zuckerberg predicts that billions of people will have personal AI agents in five years

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Meta founder and CEO Mark Zuckerberg is trying to sell investors on his prediction for the future — one where billions of people will have their own personal AI agents in the next five years. (Let’s hope that future also comes with data centers efficient enough to power all those agents — without triggering a fresh wave of climate disasters.)

“I think that it’s extremely unlikely if you look out five years from now, for example — whatever period of time you want — that you don’t have billions of people with a personal agent that understands your goals and that is just working on your behalf 24/7 to achieve your goals in whatever the domain is that you care about,” Zuckerberg said on Wednesday’s quarterly earnings call with investors.

He added that he could see people using these agents to help them with their finances, health, interpersonal relationships, and household management.

“As we move toward a future where we’re all interacting with multiple agents, I think that WhatsApp and our other messaging surfaces are going to become increasingly important,” he said, noting that WhatsApp is already the leading platform where users interact with Meta AI.

Meta is not alone in setting high expectations for AI systems that can act on a person’s behalf rather than just answer questions. Google emphasized custom AI agents as a key new feature in its Search overhaul, which sparked outcry from users who felt bogged down by the constant onslaught of AI results on Google. Meanwhile, subscriptions to Anthropic’s Claude have skyrocketed as engineers fawn over the agentic coding assistant Claude Code.

Compared to its competitors, however, Meta may not enjoy as much confidence from investors as it continues dumping cash into innovative projects that may or may not pan out — Meta’s stock dropped almost 10% after posting this quarter’s earnings. Meta’s Reality Labs, the organization responsible for its AR glasses, VR headsets, and related software, lost around $4.6 billion this quarter, roughly in line with the losses the division has posted each quarter since 2021. That’s a running total now of around $88 billion.

Meta’s AI spending is likely to climb even higher, which is more of a concern at this juncture. The company reported free cash flow of $784 million this quarter, down from $8.55 billion the same quarter last year. That’s a 91% drop year over year, exacerbated by the company’s investments in AI infrastructure. This week, Meta and BlackRock announced a partnership to build a $14 billion data center in El Paso, Texas.

“We believe that there will continue to be a significantly higher margin on selling intelligence rather than selling compute directly, but we think that there’s a big opportunity, obviously, to sell compute as well,” Zuckerberg said.

Ultimately, he believes that the personal agents that Meta is developing will be “the foundation for our next wave of products and revenue lines in the months and years ahead.”

So far, Meta’s business agents, rolled out globally on WhatsApp and Messenger this quarter, have been adopted by more than one million businesses. It may be harder to get people to adopt consumer AI agents, but the road to “billions” has to start somewhere — the company can’t get there on enterprise agents alone.

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Microsoft logs $3.2B from Anthropic investment, but OpenAI was a mixed bag

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When Microsoft reported killer fourth-quarter earnings for its fiscal 2026 year (which ended June 30), it tucked in an interesting little tidbit about how its investments in the two biggest, and competing, AI labs are doing.

For the quarter, it recorded its investment in Anthropic as a $3.2 billion gain, boosting diluted earnings [er share by 33 cents. (Microsoft reported diluted earnings per share of $4.81 for the quarter). Microsoft invested $5 billion in Anthropic in November 2025 as part of a circular agreement under which the AI lab also agreed to buy $30 billion worth of Azure services.

Microsoft does not routinely update the value of its Anthropic investment each quarter. It does, however, discuss its OpenAI investment quarterly. Microsoft said investment did not fare nearly as well in the quarter, and marked it down about $600 million, reducing diluted EPS by about 7 cents per share.

Microsoft owns about 27% of OpenAI. And while Microsoft also receives revenue-share payments, it doesn’t report how much OpenAI pays under that arrangement. Instead, Microsoft accounts for the value of its investment. While this quarter brought a pretty sizable decline in the value of that investment, the $600 million write-down was still mostly a rounding error for Microsoft. The company delivered a highly profitable quarter, reporting $90 billion of revenue and net income of $35.8 billion for the quarter. Microsoft’s revenue was $331.8 billion with a net income of $133.7 billion for the year.

Microsoft’s OpenAI investment looks much better when viewed on a full-year basis.

For the year, Microsoft’s OpenAI investment generated a $5 billion gain and added $0.67 on EPS, respectively, the company reported. (Microsoft reported $17.95 EPS for its fiscal year.) Still, it is noteworthy that Microsoft reported nearly as much of a gain on Anthropic in one quarter as it did for the year on OpenAI for the entire year. In fact, it is so noteworthy that Microsoft disclosed it.

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Zuckerberg says Meta’s enterprise AI opportunity extends beyond agents

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In June, Meta entered the enterprise AI market with a new AI agent aimed at businesses, to help with customer service, support, and other daily operations. But the tech giant’s enterprise AI ambitions are much more expansive, Meta CEO Mark Zuckerberg told investors on Wednesday’s second-quarter earnings call.

“We see a large enterprise opportunity to sell to businesses, including APIs, business agents, potentially selling compute directly, and other services that we’re building for large customers,” Zuckerberg said. These additions could potentially position the business to create new revenue streams beyond advertising, which drives the bulk of its business, and subscriptions, which contribute a smaller share.

Initially, the company will focus on the opportunity to serve its existing base of advertisers by offering AI agents that work across messaging apps and elsewhere. These allow businesses to interact with their own customers through an AI interface.

“And, just like the ad system, effectively, we will get paid when we deliver results for those businesses,” Zuckerberg said. “We view this as an extension of the sales and the partnerships that we have with many millions of advertisers and hundreds of millions of small businesses that use our platforms.”

He also fleshed out how Meta could expand beyond serving the small business customer that makes up much of its current advertiser base by offering Meta’s internal tools to external customers in the future.

“There are other enterprise customers who I think we’re increasingly going to serve, too,” Zuckerberg explained. “We’re building coding and developing and internal productivity tools partially because we need to build them ourselves, and we need to make sure that we have tools that are tuned for ourselves,” he continued. “Now that we have those, we feel like there’s a large opportunity to serve — whether that’s small businesses or larger businesses.”

This shift in focus may not come easy — Zuckerberg admitted that selling to the enterprise was a “different muscle” than the one Meta has historically flexed.

Meanwhile, in terms of Meta selling compute to enterprise customers, Meta is focused on balancing its need for revenue and its need to execute on its own future plans. That said, the company pointed out multiple times that it currently has the opportunity to sell compute at “a significant premium over what we paid for it.”

Still, Zuckerberg cautioned investors that it “would be foolish” to “sell all of the compute and take a short-term profit.” Instead, he described Meta’s approach as a “portfolio” that included a mix of long-term and short-term plans for its compute infrastructure. “As we get closer to personal superintelligence, we are . . . going to need hardware that allows you to seamlessly interact with it,” he noted.

The call also focused on Meta’s sizable ambitions around agentic AI — AI systems that can act on a person’s or business’s behalf, rather than just answer questions — which won’t only be offered to businesses.

Consumers, too, are being promised “personal AI agents,” as well AI smartglasses that can interact with the world in front of them.

Plus, Meta is using AI technology — specifically, large language models — to more rapidly build out its suite of social apps. Recent launches on this front have included an app for Marketplace sellers, another for Facebook Groups, one for vibe-coded games, and other experiments. More are on the way, Zuckerberg teased.

“I expect it to become a lot easier to ship new apps,” said Zuckerberg. “So we are planning to build out more ideas and use our recommendation systems to scale them to the people who will find them interesting.”

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Discover what’s next for AI, from the SaaS reckoning to the agent security gap, at TechCrunch Disrupt 2026 

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AI hasn’t just changed how startups build; it’s broken how they sell, secure their data and customers, and scale it more rapidly than ever before. At TechCrunch Disrupt 2026, the AI Stage is back to dig into the single hottest topic in the community for the past few years, presented by Google for Startups. This time around, we’re exploring the business models AI is rewriting, the wealth of unsolved security gaps, and the entirely new job categories AI has created from scratch.

From October 13–15 in San Francisco at Moscone Center, join leaders from across the AI industry as they get into the real questions founders are facing right now. We’re talking about the matter of how to price AI products when models become commoditized, why agent security has to be rebuilt from the infrastructure up, and what it actually means to have a go-to-market plan in an AI-native world.

We’re also closing in on the end of our current pricing window, so your chance to save up to $300 is ending soon, so grab your ticket here before it’s gone. Without further ado, let’s see what’s on deck for the AI Stage, with more announcements to come:

The Enterprise Isn’t Broken. Your Assumptions About It Are.

AI is now making autonomous decisions inside the most sensitive enterprise systems in the world, at a speed traditional security frameworks weren’t built for. This session breaks down what enterprise AI security actually requires in 2026 — from observability and governance to the architecture that separates deployments enterprises can trust from ones they can’t afford to touch.

With Arsalan Tavakoli, Co-founder and SVP of Field Engineering, Databricks

The Video Intelligence Race: Real-Time, Reasoning, and What Comes Next

Visual AI has moved past attention-getting demos into real-time inference and physical reasoning. Founders building at the frontier discuss what happens when generation crosses into genuine intelligence.

With Dean Leitersdorf, Co-founder and CEO, Decart, and Amit Jain, Co-founder and CEO, Luma AI

The GTM Engineer: How AI Created Tech’s Next Big Job Category

GTM engineering didn’t exist two years ago — now it’s one of the fastest-growing roles in tech, with independent practitioners building million-dollar businesses. Walk away knowing what AI-native GTM looks like in practice and how it’s reshaping growth.

With Kareem Amin, Co-founder and CEO, Clay


Whether you’re rethinking your pricing model, closing the security gaps in your AI stack, or building the go-to-market playbook that doesn’t exist yet, the AI Stage is where the builders shaping this next wave get specific.

Plus, you’ll be doing all this alongside 10,000+ startup, tech, and VC leaders, with access to every other stage, Startup Battlefield, a wealth of networking opportunities, and the exhibition floor. Register today!

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