Right now, at this very moment.
Over 3.5 billion people worldwide are interacting with Mark Zuckerberg's AI without even knowing it.
Most people, when using AI, "open" ChatGPT or Claude. They go out of their way to launch an app and type in a question. That is the standard way to use it.
But Zuckerberg's idea was the exact opposite.
I'll give you the conclusion first.
To him, AI is not something you "open." It is something you "dissolve" into places where people already are.
It's in Instagram DMs. It's in WhatsApp conversations. It's in the Facebook search bar. It's behind the ads. It's inside the glasses.
Users don't even think, "I'm going to use AI," yet the AI is already there.
This is a completely different winning strategy from Elon Musk's approach of "connecting AI to cars and robots."
This is a long post, so I recommend [Saving] it if you want to look back later.
And I'll be honest.
This isn't a story from a far-off world.
I am a former elementary school teacher and a sole proprietor with zero programming experience.
Yet, I was able to reduce my outsourcing costs from 100,000 yen a month to almost zero.
The core of that thinking was actually in the same place as Zuckerberg's idea.
Let's break it down step by step.
1. The Core Philosophy: "Personal Superintelligence"
Zuckerberg has a vision called "Personal Superintelligence for Everyone." This is based on a letter he published in July 2025.
In it, he draws a clear line: "This is different from the route of automating all work centrally." While OpenAI and Musk lean toward "full automation," Zuckerberg is betting on the "extension of individual power." Even with the same superintelligence, the direction of the bet is the opposite.
The words sound grand and might not click immediately. But when broken down to a practical level, it looks like this:
AI should not just be an "entity that answers questions," but a partner that understands a person's background. Meta explains that AI will move toward understanding "personal context" such as an individual's history, interests, and relationships.
Here are the specific targets: Google-style AI is good at "organizing the world's information." OpenAI-style AI is good at "general intelligence that answers anything." Musk-style AI is good at "moving the physical world." And Zuckerberg-style AI is good at understanding people's interests, relationships, purchases, and communities.
Even though it's all "AI," the targets are completely different.
Individuals can mimic this directly.
Think about when you ask an outsourcer to do a job. If you just say, "Do it nicely," you'll never get something good back. Only after you provide your purpose, preferences, past failures, and judgment criteria do you get what you expect.
AI is exactly the same.
Stop consulting from scratch every time and provide your context. Upgrade AI from an "unknown consultant" to a "secretary who knows your background."
Polishing prompts comes after that.
Knowledge is King. People who don't provide context are failing to draw out even half the potential of a smart AI.
2. The Greatest Weapon is "Distribution," Not the "Model"
When it comes to AI, everyone worries about "which company's model is the smartest." But Zuckerberg's true strength isn't the smartness of the model itself.
It's having the "place" to deliver the AI. This is it.
In the Q4 2025 earnings report, the number of people who use Meta's family of apps daily (Family DAP) was 3.58 billion. That's about 40% of the world's population. Roughly 40% of humanity opens a Meta app every day. Meta AI has reached over 200 countries and regions, used via WhatsApp in India and Indonesia, and via Facebook in the US, according to Meta's explanation.
No matter how smart an AI is, it won't be used if users don't open it.
Conversely, if AI sits in the search bar, post screen, or DM of an app people open every day, it will be used with zero effort.
While there is a "competition to build the strongest model," there is also a competition for "where, for whom, and at what moment to make them use it."
Therefore, the first thing to consider in AI implementation is not "which AI to use." It's "at which touchpoint to place the AI."
If you are a creator, it's a waste to use AI only for drafting posts. Place it everywhere people move: comment replies, DM handling, planning, re-editing past posts, and fan analysis. If you have a shop, place it in product descriptions, initial reservation handling, and answering common concerns.
People who isolate AI "outside the workspace" are fighting while leaving the most delicious spots empty.
You are different. Embed AI into the flow where people touch.
3. Controlling the AI Foundation with the Open Model "Llama"
Llama is indispensable to Meta's AI strategy. Zuckerberg has publicly stated that "open-source AI is the way forward" and has released models for free.
The latest Llama 4 has two models: Scout and Maverick. Both use MoE (Mixture of Experts, a system that bundles multiple expert AIs and only wakes up the necessary ones). Scout has 109B total parameters with 16 experts, and Maverick has 400B total with 128 experts. Yet, only 17B actually work at any one time for both.
They don't wake everyone up; they only move the person in charge. That's why it's fast and cheap. That's the design.
Zuckerberg's intention here is clear.
He doesn't want to end at just "borrowing and using" AI. He is trying to grasp the foundation that they can modify themselves.
This works for individuals too.
If you rely entirely on external AI, you'll be pushed around by price changes, specification changes, and usage limits every time. ChatGPT or Claude is fine at first. But as you get serious about work, the desire to "adjust it for yourself" emerges.
That's when your own "foundation"—your collection of prompts, knowledge, templates, and workflows—comes into play.
There is a world of difference between those who stop at being AI users and those who move to being AI designers.
People without a foundation start from scratch every time the AI changes slightly. People with a foundation can build on top of it again and again.
4. "AI Studio" — The Idea of Making AI an Extension of Yourself
Meta's AI Studio is a system where anyone can create their own AI character. Meta explains that creators can create AI as an extension of themselves and leave fan interaction to it.
This shows an important direction of the Zuckerberg style.
AI is not "one giant common personality," but will split off for each person or brand.
If you're a coach, you put your teaching policy, tone, and FAQs into the AI. If you're a shop, you give it business hours, menus, reservation methods, and answers to common anxieties. Then, the AI starts moving as your "alter ego."
However, there is one most important thing here.
It is to give the AI a "personality" and "boundaries."
What to answer and what not to answer. What tone to speak in. At what point to hand over to a human. Without this design, AI falls into just being a sloppy automatic reply.
I can say this for sure.
AI doesn't fail to work because its ability is low. It's because it hasn't been given boundaries and is lost.
People who think of AI as "something that does everything instead of me" will always be afraid of accidents. People who design it as "something that extends my thoughts and judgment criteria" can entrust it with peace of mind.
5. Business Agents: Turning DMs into Places for Sales, Service, and Reservations
Meta also released a system called Business Agent. It allows companies to leave question handling, product suggestions, reservations, sales, and handovers to humans to AI on WhatsApp, Instagram, and Messenger.
This is incredibly practical.
The reason is simple: the sales of many businesses are decided by "conversations," not "pages."
Customers always hesitate before buying. Does it suit me? Can I get a reservation? Can I return it? Should I buy it now? It's impossible for humans to handle everything, and if the reply is late, the customer leaves at that moment.
When AI enters here, DMs change from just an inquiry window to a place for 24-hour customer service, sales, and reservations.
Do you stop at using AI as a "tool for writing articles," or do you place it in "conversations where sales are born"?
The difference is larger than you imagine.
However, I will be honest. Automating everything is dangerous.
If the AI confidently gives the wrong price, stock, or delivery date, you lose trust instantly. So, decide in advance the "range to leave to AI," the "conditions for handing over to humans," and the "areas to never let it answer."
Only those who run while leaving this blank will suffer later.
6. Ad AI: The Main Battlefield Has Shifted from "Fine Operations" to "Quality of Input Materials"
It's easy to forget, but Meta is one of the world's largest advertising companies. Total revenue for 2025 was $201 billion (up 22% year-on-year). Of that, advertising accounted for $196.18 billion, a staggering 97.6%. It's a company that runs almost entirely on ads. So, you can't talk about Zuckerberg's AI without talking about ads.
Meta is launching GEM (a foundation model for AI-generated ad recommendations) and Advantage+ Creative, where AI automatically creates ad variations. In short, we have entered an era where AI does the ad optimization itself.
What practitioners learn from this is clear.
Future advertising is not a game won by fiddling with detailed targeting settings or manual bidding. It's a game won by people who can provide "good inputs" that are easy for AI to learn from.
The job of an ad manager is changing from a "person who fiddles with buttons in detail" to a "person who provides good materials, good hypotheses, and good data to AI."
Separate the axes of appeal. Make the pain points specific. Clean up product images. Return conversion data properly. And don't get caught up in short-term fluctuations; give the AI a learning period.
This isn't limited to ads.
Only those who prepare materials that are easy for AI to judge, rather than just dumping everything on AI and complaining, can draw out the AI's full potential.
7. AI Glasses: The Strategy to Move AI from Pockets to Eyes and Ears
Zuckerberg is putting an extraordinary amount of effort into AI glasses right now. In the earnings call, he went as far as to call it the "ultimate form of this vision."
In fact, the $799 "Meta Ray-Ban Display" released in September 2025 shows a display inside the lens, Meta AI responds, and it even does navigation and translation. Moreover, the Neural Band (an EMG method that reads electrical signals from muscles) allows operations with just subtle finger movements.
The momentum of smart glasses is real; Ray-Ban Meta sold about 7 million units in 2025. Zuckerberg said in the earnings call that sales tripled from the previous year, calling it "one of the fastest-growing consumer electronics in history."
The goal is the next interface after the smartphone.
With a smartphone, you need to open the screen, type characters, and switch apps. With glasses, you can hear as you see. You can ask while walking. You can bring up steps while cooking. You can compare while shopping.
The hurdle to using AI is lowered to the limit.
This thinking applies directly to individual AI utilization as well.
The more you lower the hurdle to using AI, the more AI enters your life. AI isn't just about typing long prompts. Talk to it with your voice. Have it read screenshots or photos as they are. Record and organize things you thought of while moving.
People who are braced with the thought "I have to write perfect instructions on a keyboard" move further away from AI.
AI becomes daily life for those who lower the hurdle.
8. Remaking the Internal Way of Working to be "AI-Native"
Zuckerberg's AI isn't just for user-facing products. It's embedded in the way Meta works internally.
In the earnings call, it was explained that with the introduction of AI coding tools, the output per engineer increased by 30% from the beginning of 2025. For heavy users, it was up 80% year-on-year. And Zuckerberg said this: Projects that previously required large teams are starting to be achievable by one very talented individual.
This is the essence I want to convey most today.
What works in future organizations is not "the number of people." It's how much leverage one person can exert with AI.
I'll be honest. I am a living witness to that.
A former elementary school teacher with zero programming experience, raising three children.
Yet, I reduced the outsourcing costs for my Instagram posting team from 100,000 yen a month to almost zero.
Scriptwriters, image creation, research—I handed over the jobs I used to ask people to do to AI, role by role. I became able to spend the free time on the strategy and judgment I should originally be doing.
This isn't talent.
I just reproduced what Zuckerberg is doing in his company, scaled down to an individual size.
Decide the specifications. Have the AI create. Have the AI check. Humans concentrate on requirements, priorities, and final judgment.
Instead of "replacing" people with AI, you raise one person's productivity to a "team level."
This shift in thinking was the entrance to everything.
9. But Honestly, There Are Risks to Zuckerberg-Style AI
I've written about the strengths so far, but it's not all good news.
The more AI stays close to individuals, the larger the problems of data usage, privacy, dependence, wrong answers, impersonation, and agent mis-selling become. Meta itself is trying to respond to these anxieties by releasing a private AI chat function where conversations disappear on the spot.
Furthermore, at an internal town hall on July 2, 2026, Zuckerberg himself admitted that "progress on AI agents has not accelerated as expected in the last four months," as reported by TechCrunch and others. Meta had just cut about 8,000 people (about 10% of employees) that year and reassigned 7,000 to the AI department.
Even at Meta's scale, the practical application of agents is not progressing in a straight line.
However, he positioned this not as an "error in direction" but as a "matter of timing," continuing that "more meaningful results will come in 3 to 6 months." He hasn't lost his bullishness.
The lesson here is not "don't expect too much from AI."
Do expect. But always set verification, authority management, handovers, and privacy design as a set.
Clearly state what AI "can do" and "cannot do." Have humans perform the final check on important judgments. Prepare a way to fix it when it makes a mistake in advance.
People who dump everything on AI thinking it's "magic" will eventually have an accident.
Only those who perceive AI as an "infrastructure to be designed and tamed" can continue to use it for a long time.
Summary: AI is Not Something to "Open." It's Something to "Place."
I'll summarize Mark Zuckerberg's AI utilization techniques in one sentence.
The technology to "embed" AI into the flow of human life and connections.
Musk connects AI to cars, robots, and computing foundations. Zuckerberg connects AI to DMs, ads, creators, glasses, and conversations.
Therefore, what we should learn is not "making a giant AI like Meta." It's thinking about "where to place AI to change people's behavior" within our own work.
I'll compress the principles that work from today into five:
- Don't lock AI in a separate app. Place it where you use it every day.
- Don't ask AI one-off questions. Provide your context (same as instructions to an outsourcer).
- Don't leave everything to AI. Design personality, boundaries, and handover conditions.
- Don't end with making one post with AI. Connect from post → reaction → DM → sales → improvement.
- Don't end as an AI user; move to being a designer who has their own foundation (knowledge, templates).
I call this the "compound interest of placement."
Every time you place AI in the right spot, its effect builds up next month and the month after.
People who have the wrong placement are failing to draw out even half the potential of AI, no matter how smart it is.
If you do only one thing today.
Choose one "place where people move most" in your work and try placing AI there.
Just that will start to change the scenery of next month.
Finally
How was it?
The idea of "designing where to place AI" that I talked about in this article is something I practice in my entire business. Scripts, images, research, post-interview processing—I have dedicated AIs placed in each spot to keep things running. I can't go back to the days when I did everything by hand.
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Total of 20 items. And they are all free. You can get them all without participating in seminars or free individual consultations.
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Let me say it just one more time.
What's needed is not technology. It's just the perspective of designing "where to place" AI.
Why not end the exhaustion of having a smart AI but not knowing what to do with it today?
References/Sources
- Meta "Meta Reports Fourth Quarter and Full Year 2025 Results" (January 28, 2026) / Q4 2025 Earnings Call Transcript
- Meta AI "The Llama 4 herd" Official Blog
- Meta "Meta Ray-Ban Display: AI Glasses With an EMG Wristband" Official Newsroom / EssilorLuxottica Earnings
- Meta "Personal Superintelligence for Everyone" Letter (July 2025)
- Forbes "World's Billionaires List (Real-time)"
- TechCrunch, Reuters, and other reports (July 2, 2026, Zuckerberg's remarks at internal town hall regarding AI agent progress)
*Numerical values are as of the time of each announcement/report. Latest specifications and prices are subject to change.
