Will AI Replace Jobs? What Hormozi Says Workers Should Do

What does Alex Hormozi say AI will do to jobs?

Alex Hormozi, the founder of Acquisition.com, says AI will make one person do the work of several, and that owners should raise the bar for everyone on the team. As far as public reporting shows, he has not said he fired anyone because of AI, and his company is still hiring. His advice to employees is to "bring your own agent": build AI workflows that do your job before someone else does it for you. He also says big decisions, risk and accountability stay with humans.

Has Hormozi actually fired people because of AI?

Based on his public comments, no. A creator who reviewed more than 200 of his videos and posts could not find a single case where he said he let someone go because of AI. What he says instead is that his companies use AI heavily in acquisition, ads and content, and are still hiring. He points to OpenAI and Anthropic, which employ thousands of people while building AI, as a proof point that heavy AI use and headcount can coexist.

That does not make his advice to other owners gentle. He has said he would "raise the bar for the whole company," and that people who meet the new bar stay while people who don't, don't. He called that harsh and said it is reality. On stage, he told the owner of a $20 million website company to spend six months rebuilding workflows and cut headcount in half with AI, which he said would roughly double the company's margin.

Both positions are real. His own team grew output without growing headcount, and he tells other owners that the bar is rising. If you work on a team, treat the second message as a signal about what leaders are hearing.

What can AI actually do in a business right now?

Hormozi gave specific examples, all self-reported:

• Support. For a book launch, his team ran five AI agents that handled roughly 120,000 support tickets and resolved 90% without human help. Most tickets were people asking where to get their free items.
• Media. He said media output roughly tripled in a month with no added headcount, because prompts now handle 30 to 50% of the workload.
• Writing. Tweets that took about an hour and a half a day now take about 90 minutes a week. He says AI helps generate ideas he then iterates on. It does not write the tweets.
• Content ideas. He records and transcribes meetings, then has AI scan them alongside his calendar for the most interesting moments, so his content comes from things that really happened that week.
• Sales. An AI text agent sells around 200 units a month. But he says his team is still hiring human SDRs (sales development reps) because on the phone, humans still beat the best voice AI, even after two years of work.

The sales example is useful because he has been predicting this out loud. In January 2025 he said an AI appointment setter was about three months away. By April he said an AI SDR was matching the human team. Today his answer is more mixed: AI wins in text, humans win on calls.

How do you break a job into workflows?

Hormozi's method works for almost any role. Stop thinking "I need to hire an editor" and ask what five things an editor actually does to produce a video. Each one becomes a workflow.

For his clip content, one AI workflow reads the transcript and finds the highest-tension moments. Another starts the clip at that point. Another removes the filler words and cuts it down. No single step is magic. The job gets smaller one piece at a time.

You can run the same exercise on your own work:

List the 5 to 8 distinct tasks I do in a normal week in my role.
For each one, tell me:
1. What input I start with
2. What output I hand off
3. Which steps need my judgment
4. Which steps are repeatable typing, formatting or sorting
Then rank the repeatable steps by hours per week.

Start with the highest-hours repeatable step.

What is "bring your own agent"?

Hormozi describes the future job market as "bring your own software" or "bring your own agent." You train agents to do what you do, then tell an employer that instead of hiring a department, they can bring you. His line: "The goal is that you replace yourself and don't let someone else do it."

His example is a woman named Tina who ran cohort programs out of Telegram. Her team kept answering the same questions. He told her to build an agent that searches all past answers and suggests one, so a team member can check it and hit send. A couple of months later she reported that she had moved out of Telegram entirely and built nine other tools for her business.

Notice what she built. It was not a general AI strategy. It was a tool that sat inside one repeated task, with a human still checking the answer before it went out.

How should you start? The four-hours-a-week habit

His version of getting started is simple. Block four hours a week. In each block, automate or amplify one specific task you do. You get faster each time.

A practical way to run it:

1. Pick one task you repeat at least weekly.
2. Time how long it takes now.
3. Build or prompt a version that does the first draft, sort or summary.
4. Keep a human check on the output.
5. Write down the new time. Repeat next week with a different task.

After a quarter, you have a dozen small improvements and a record of hours saved, which is exactly the evidence a manager wants to see.

Why did Hormozi cut AI budgets?

On September 30, he told his team there would be no more AI budgets. He said they already spend 16 times more on AI per employee than the average tech-forward company, and wrote that company revenue was flat while AI usage rose. His read: people were using AI on projects that don't matter.

He tells a related story about a business that paid about $11,000 a month for 11 virtual assistants doing data cleaning, then spent $350,000 building an AI system to replace them. The work was already getting done, and it was not the constraint holding the business back.

His test is worth borrowing. Since you started using AI, are you getting more views, more leads or more money? If your token bill is rising and those numbers are not, you are probably automating something that does not matter. His advice is to decide whether a task should exist at all before automating it. The postscript on his memo is good career advice: show how little you can use and how much you can get from it.

Which work does he say should stay human?

Two things: decisions and risk.

On decisions, he says he sometimes gives AI an obvious decision, asks several models the same question, and gets answers that are "all over the place." His rule: don't outsource your thinking, only the typing. If you delegate decision-making to it, he says, you'll get dumber.

On risk, he argues that in a world of cheap intelligence, what people still get paid for is owning outcomes. AI can give every recommendation, but someone has to own the decision, risk the money, pay for the tokens and own the company. His example is MrBeast: a video about $5 million has no stakes if the money isn't real, and audiences want stakes.

For an employee, this suggests a practical move. Position yourself as the person who is accountable for a result, not just the person who produces a draft.

What does he say about AI-written content?

He is blunt. He says much of the world has become "AI slop," and that the easiest tell is forced negation and staccato sentences, the pattern of "not this, not this, not this, but that."

His advice is to make your experience the differentiator. If two people post the same six tips on scaling a sales team and one of them has built 10 real sales teams, he says the second person wins. If you do write with AI, he suggests giving it about 12 rules it can never break and 16 samples of your own writing, which he says makes the output about five times better. That figure is his own estimate, not a measured result.

He also advises against building a business around the fact that you use AI. Customers want the result, such as losing weight or fixing a marriage, not an AI consultant.

What does this mean for you?

If you are an employee: Pick one repeated task and automate part of it this week. Keep a log of time saved and results gained. Build proof of your judgment and accountability, because that is the part Hormozi expects to stay valuable.

If you manage people: Expect the bar to move. Ask your team to show what they use AI for and what number it moved. Hormozi's own approach is training on what is worth working on, not more budget.

If you work in sales, support or media: These are the functions where his examples are strongest. Text support and content production are changing quickly. Phone-based selling, by his account, is not yet.

Everyone: Keep the decisions. Use AI for the typing.

Can you build your own agent tool without being a developer?

A bring-your-own-agent mindset often ends at the same obstacle: you have a good idea for a small tool, like Tina's answer-suggestion dashboard, but nowhere to build it. Remy builds and deploys full-stack apps from a plain-English description, so a team member could describe a weekly automation log, a request form or a review queue for AI-drafted replies and get a live app with a database and sign-in. It is a way to own the small tools you need rather than stitching them together across spreadsheets and subscriptions. Remy does not build native iOS or Android apps, only mobile-responsive web apps.