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Issue #54: PhD-level AI Agents, Stargate, Hollywood reveals the future

Good morning.

AI is growing smarter by the minute—literally.

We’re at a moment where AI isn’t limited to answering your questions or automating a single task.

It’s evolving into a workforce of its own, with “Superagents” leading the charge. Think less “tool you use” and more “teammate you manage.”

This means staying in charge—giving direction, setting boundaries, and leveraging these tools to amplify what you’re already great at.

That’s where the power of AI lives, and it’s where the future of your business will be decided.

This week, we’re diving into everything from closed-door superagent talks to Hollywood’s 11-year early nods to AI’s trajectory

Yet again, I’ll be breaking down what these tools mean for your business, your workflows, and your ability to stay ahead in a landscape that’s moving faster than ever.

Let's get into it.

—Sam

IN TODAY’S ISSUE 👨‍🚀 

  • Superagents: The Evolution of AI Powerhouses

  • AI-Agents Servicing, Done-For-You

  • Project Stargate aiming for AGI and ASI

  • Hollywood’s AI Predictions

Let’s dive in.

Ph.D. Superagents

At this point, AI is basically growing arms and legs.

The latest buzzword coming from OpenAI? Superagents. 

Sure, sounds like a sci-fi villain plot.

But it’s just AI systems designed to go beyond the simple “prompt-in, response-out” paradigm we’ve gotten used to.

They’re multi-functional, integrated, and—if you’re smart about it—your new secret weapon.

Axios dropped a report detailing how companies like OpenAI and Meta are racing to develop these “superagents.”

These agents can juggle tasks across platforms, manage complex operations, and make decisions without needing you to micromanage.

Think about what that means:

Need to update your CRM, email a client, and run a competitor analysis? A Superagent can handle all three.

Without you.

Want to connect your marketing tools with real-time sales data? Superagents integrate and optimize the connection.

Again, without you.

It’s more than automating tasks. The cool kids say it’s about “orchestrating” them.

It’s a new kind of intelligence.

And just the other day, OpenAI finally revealed and released their “Operator”, an agent that can act on your behalf in a browser.

I’m preparing a more in-depth issue on this, so let the hype pass you by, and next week I’ll give you the reality of the situation.

For now, start using it as a researcher:

Alright, back to the point:

Marketers.

Picture this: You’ve got a Superagent monitoring your ad performance across multiple platforms. It notices your Facebook ads are tanking but your TikTok campaigns are thriving. Without being told, it reallocates your budget to TikTok, adjusts your targeting, and sends you a summary of what it did—and why.

It’s an active player in your strategy.

Nearly like an employee.

We’re at the tipping point where this is becoming possible.

You can already do pieces of a flow like this (and it’s been a reality for a while now, just most people don’t know or haven’t tried it).

But we’re quickly getting to a place where it can all be one unified system.

Superagents are no longer theoretical. The biggest players—OpenAI, Meta, and others—are pouring resources into building them, and the first iterations are already rolling out.

If you’re still relying on single-task AI tools, you’re working harder than you need to.

Again, superagents don’t just save you time. They give you leverage. They amplify what you’re already good at, allowing you to focus on strategy while they handle execution.

I can already hear the skeptics: “But doesn’t this mean AI is replacing us?”

Nope. New tasks, new possibilities, new ways of working will open up.

And you should double-down on your own agency (ability to act, speed of action), and your imagination (seeing what’s possible).

Let me be clear: being pro-human means staying in charge. Superagents are powerful, but they need direction.

Knowing what that direction should be, is now your #1 job.

Here’s how I predict you can stay ahead:

  • Don’t let your Superagent do everything. Decide what it should handle and what decisions stay human-driven.

  • Treat it like a team member. Review its work, give feedback, and refine its tasks.

  • The more you understand what your Superagent is capable of, the more effectively you can use it.

What You Should Do Today

If you’re not already thinking about how Superagents fit into your workflows, start now.

Start identifying repetitive, multi-step processes in your business.

Find AI platforms that are experimenting with integrated, multi-task functionality.

Start small—give it one process to handle, then scale as you gain confidence.

Will you let them do the heavy lifting while you focus on the big picture? Or will you watch from the sidelines as someone else leverages them to pull ahead?

The choice is yours.

The Current State of AI Agents and Workflows

After the last section, you should be aware there’s a shift happening in the way we think about work.

It’s not about doing more or faster—it’s about doing less of the stuff that does not move the needle and focusing on guiding the things that move the needle.

And leading this charge? AI Agents.

You know what they are, but let’s talk about the current, on the market state of them.

Let’s start with this: what would your business look like if half the busywork just disappeared?

Look at the ad MayorKing created with Invideo.

This isn’t futuristic fantasy. It’s happening right now.

AI Agents and agentic workflows are already taking on tasks like managing customer support queues, pulling real-time analytics and automating mundane scheduling tasks that eat up hours of admin time.

Pivot yourself and your team to manage outputs.

Akshay Pachaar shared a great insight recently: “AI Agents are only as good as the systems you plug them into.”

This is the part no one likes to talk about.

AI agents can’t do anything without instruction and implementation. They can’t come for you like a robot, they can only work for you.

To implement them, you first have to do a few things.

You have to make sure the process is clear. Break it down step by step. If you can’t explain it simply to another human, your Agent won’t execute it effectively.

AI also thrives on clarity. Don’t just ask it to “analyze trends.” Tell it what trends you care about, why, and how you want the information delivered. Every detail matters. This is what gives the agents the ability to help you the most.

In the beginning, you need to treat your Agents like new hires. Review outputs, give feedback, and do anything you can to adjust it to best suit your business’s needs.

What’s your role now?

Are you the person who’s able to let go of the grunt work?

Can you implement processes and delegate without feeling the need to intervene every time things go wrong?

Because I’ll tell you this: Things will go wrong.

If you’re the type of person who wants to fix things themselves every time things go wrong, you’ll endlessly be fixing things that you should only be giving feedback on, not doing it yourself.

Here’s an example. Say you run a small agency. Your team spends hours every week pulling client reports, managing social media calendars, and responding to low-priority emails.

Now, imagine you integrate an AI Agent:

  • Pulls all the client data, compiles it into a clean report, and emails it out automatically.

  • Analyzes engagement trends across platforms and suggests changes to your posting schedule.

  • Handles basic client inquiries, flagging only the high-priority ones for your team.

Suddenly, it starts getting outputs wrong.

The power of AI Agents here is in the feedback you give it, not in you “fixing” it.

If you can’t be calm enough to give it feedback until it corrects itself, you won’t be successful when integrating Agents.

Even if you are the “fixing” person, AI Agents aren’t coming for your job—they’re here to make it easier. To take the mundane off your plate so you can focus on growth, strategy, and innovation.

So, the question isn’t whether AI Agents are right for your business. The question is: Are you ready to lead them?

Project Stargate: First AGI, then ASI

Did you see?

Open AI, Larry Ellison, and friends are going big.

They’re putting $500 Billion into pursuing the creation of AGI (and then ASI).

There’s a lot of hype around this, but it’s clear they’re serious about building out the infrastructure necessary to make the pursuit of AGI and ASI possible.

The term "AGI" refers to Artificial General Intelligence, a hypothetical AI that can understand, learn, and apply knowledge across a wide range of tasks, similar to human intelligence.

Now, "ASI" or Artificial Superintelligence implies a level of AI beyond AGI, where AI surpasses human intelligence in all aspects.

About 6 months ago and more, leading AI researchers (the actually smart people, with real PhD’s and deep scientific knowledge) were publicly skeptical about AGI and ASI timelines.

They were all saying it’s 10+ years away.

Now?

They’re all saying AGI could happen within 2 years or max 5 years.

This is a dramatic change in tone and prediction.

Who knows if they’re right, but if people who are working on AGI are shortening timelines, they believe it, and we should probably pay attention.

What will this mean for your business?

Honestly, I don’t know.

It can go in multiple directions: few businesses left, mainly in trades, blue collar, and world engaging work. Any knowledge work is done, over. Or, nothing much changes. People keep doing their work and lives.

It’s almost impossible for humans to think in exponentials. So, it’s very hard to imagine a future with this level of intelligence.

I do think we continue to see agency and imagination becoming more and more important.

When everyone has even this level of “intelligence” and agents that we have now, you can’t build a moat with AI.

Your competitors have the same capabilities available to them.

We’ll explore how you can build a self-driving (autonomous) business with agents—and build a moat—in upcoming issues.

Hollywood’s AI Prediction

First, the artists dream it.

Then reality follows.

Science fiction has imagined the future for decades now. A lot of it has come “true”.

Aside from TV shows like Westworld, the film Ex Machina is worth a rewatch.

While AI is getting closer and closer to complete self-automation, their thread about the significance of the movie “ex machina” is worth your time and attention.

The making of the movie seems more relevant to AI’s development now, even being shot 11 years ago.

Humanoids and robots are a reality at this point. Not to the degree in the movie—YET.

But you’ll soon be able to buy a Humanoid robot for $16,000 or less, that can do chores around the house.

A decade ago, that was a fun fantasy, a dream, a “could you imagine if…” scenario.

Now here we are.

Should your 10-year plan have been based on “Ex Machina”?

I don’t know.

But if an 11-year-old movie based out of Hollywood can predict where AI will move towards a decade later, maybe it’s time to start making more wild predictions on where AI is moving.

Other than that, the next 90-day move for your business is clear:

Agents.

Agents that’ll perform tasks within systems, run systems, and even manage outputs.

The risk you’re debating taking with Agents is the one that can lead to the business you dream of running.

Take that risk.

Even if you worry that your business will be obsolete in 12 months, build it anyway.

There’s a lag between AI developments and how it’s propagating in the “real world”, so to speak.

And it’s only in the building now that you’ll find your pivot later, should you need it.

Talk soon,
Sam Woods
The Editor