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- Issue #53: Altman's AGI reflections, Gemini's Deep Research, ChatGPT Tasks, AI Agents
Issue #53: Altman's AGI reflections, Gemini's Deep Research, ChatGPT Tasks, AI Agents

Good morning.
The newsletter's new name "Bionic Business" couldn't have come at a better time.
As we dive deeper into 2025 (It’s been 2 weeks!), it's clear that AI is fundamentally transforming how we run entire businesses.
The lines between marketing, sales, operations, and customer service are blurring.
When you can have AI handling your content creation, another agent managing customer inquiries, a third optimizing your supply chain, and the last one making sure all of these operations work together—are we really just talking about marketing anymore?
What I'm seeing now is businesses creating their own "AI operating systems"—interconnected agents handling different aspects of the business, with humans acting as strategic orchestrators rather than task executors.
(Exactly what I’ve been predicting).
The most successful companies are finding the sweet spot between AI efficiency and human insight.
From "Bionic Marketing" to "Bionic Business" – it's a reflection of what I'm seeing in the field.
Marketing was just the beginning. The real story is how AI rewires business DNA from the ground up.
Again, don't worry—we'll still cover the latest in AI marketing
(Along with copywriting, it's my first love, after all).
But we'll also explore how businesses are using AI to transform their entire operations.
Let's get into it.
—Sam
IN TODAY’S ISSUE 👨🚀

Sam Altman and The Stages of AI
The hidden revolution you should pay attention to: Gemini
Agents aren’t coming for you—Unless you let them
ChatGPT works while you sleep
Let’s dive in.

Reflecting on AI to see the future
Let me ask you something.
When was the last time you stopped, really stopped, to think about the next ten years of your business?
Not the next quarter. Not even the next year. But the next decade.
In an age where AI tools pop up faster than you can refresh your feed, it’s easy to get caught up in the frenzy.
The tools, the features, the “new shiny object” syndrome—it’s all designed to keep you thinking about now.
But the real winners? They’re thinking about later.
(Reminds me, I should tell you about my “100 Year Vision” one day).
Sam Altman is using the past to predict the future
In his reflection blog, he lays out the truth most people don’t want to hear:
The stuff that actually matters takes time.
Building OpenAI wasn’t an overnight success—it was a grind. Years of laying bricks, making bets, and playing the long game.
Every decision you make today is a seed. And the question isn’t whether it’ll grow, but what kind of tree it’ll become.
Look at how Sam Altman’s tree is evolving.
Something as big as OpenAI is even going to take years to develop a plan. An industry leader’s plan.
This isn’t a plan for the next week or a plan for the next campaign.
This was a plan that took into account the next decade of development within AI. OpenAI looked into where they’d be in 10 years, made a plan, and they’re going to achieve it in ~2 years tops.
For marketers, this is a gut check.
Are you planting the right seeds? Or are you scattering them, hoping something sticks?
When I was starting out, I wasted years trying to hack growth—short-term tactics that worked, but only for a moment. And the only way to keep growing was to grind away with more and more short-term growth hacks.
And then one day, it hit me: the most valuable thing I could build wasn’t a bigger campaign. It was a system that kept working long after the campaign ended.
Altman’s right. The leverage you build today will be your edge tomorrow. And if you’re not thinking about leverage, you’re already behind.
At the same time, AI waits for no one.
Now, let’s flip the script. While you’re busy thinking long-term, the short-term is moving at light speed.
AI doesn’t care if you’re ready. It doesn’t care if you’ve figured out your strategy. It’s here. Right now.
Take the example from AI for Success—Ashutosh talks about how AI is compounding. Not growing—compounding.
That means every improvement builds on the last, accelerating faster and faster.
This is the part where most people freeze. They think, “If I can’t keep up, I shouldn’t even try.”
Wrong. The only wrong move is no move.
People who don’t move are in fear.
Start small. Use AI to optimize your content workflows. Feed it your customer data and see what insights come back. Test it on your weakest processes—the ones you secretly hate—and watch it transform them.
AI isn’t just a tool. It’s an amplifier.
It’ll make the good better, and the bad worse. So, fix what’s broken first, then let AI take it to the next level.
Lastly, on this point, I want you to imagine two roads.
One is the path of long-term thinking, where every step is deliberate, and every choice made with the future in mind.
The other is the fastlane, where AI is pushing you to move, adapt, and innovate at a pace that feels impossible.
You’re not choosing one or the other. You’re walking both.
And since it’s impossible to be on two roads at the same time (unless you’re Schrödinger's cat or something), that means one thing:
You’re not on a road at all. You’re a node in a network, connected to both nodes (the long-term path and the AI fastlane).
That’s the trick, isn’t it? Knowing when to slow down and plant the seeds, and when to hit the gas and take action.
Google Gemini: The Quiet Revolution
The news dropped like a subtle ripple in the tech world: Google Gemini’s Deep Research is here.
While some of you might have skimmed past the announcement, let me tell you—this isn’t just another tool. This is the start of something big.
Min Choi said something that stuck with me:
“Google Gemini isn’t just AI—it’s infrastructure for knowledge.”
This isn’t about making workflows faster or content smarter, though that can absolutely happen.
Gemini is creating a new foundation for how we interact with knowledge itself.
And for marketers, business leaders, entrepreneurs, and anyone who relies on information (so, all of us), this changes the game.
Deep research can scan thousands of websites in minutes, making it easy for anyone with an internet connection find anything they need.
You all know how Google comes up with some number of websites it finds in seconds every time you do a search?
Gemini now has the power to scan every one when you search with it.
Without scrolling for the hundreds of hours it would inherently take you to do so.
This is what makes Gemini different.

Source: Google
According to Google’s blog, Gemini is designed for deep research. Not surface-level analysis, not quick answers—it’s built to handle nuance. Context. Complexity.
Think of it as an assistant that both summarizes the data and understands what it means for your business.
This opens up a world of possibilities for any business.
You can feed Gemini your competitor’s ad campaigns and have it spit out actionable insights on how to outsmart them.
Or analyze market trends to uncover the tiny, overlooked opportunities that give you an edge.
Better yet, you can use it to refine your messaging so it lands not just with more people, but with the right people.
Google isn’t trying to bring you the results you search for, it’s looking to understand exactly what you want and know how it can help your business.
It’s similar to NotebookLM, but if NotebookLM is about sense-making, then Deep Research is what comes first: the gathering of information that you then use inside NotebookLM to further explore.
This isn’t speculation. It’s real, and it’s happening now.
And yet again, everything leads to the same conclusion:
AI is compounding.
Every new AI release builds on the last and makes it 10x better.
Faster, smarter, more powerful. If you’re not paying attention now, you’re not just behind—you’re losing ground by the second.
Gemini’s arrival is a reminder that the pace of innovation isn’t slowing down.
It’s power lies in how you use it. The brands that treat AI like a plug-and-play solution will see marginal gains. The ones that treat it like a strategic partner? They’ll dominate.
And being practical, Gemini isn’t just for tech giants or billion-dollar enterprises. It’s for anyone who works with data, decisions, or communication (so, again, all of us). But it’s not going to hand you success on a silver platter.
Here’s what you can do today to see success with Gemini:
Feed Gemini a single task. Something research-heavy that takes you or your team hours to process. See how it performs.
Once you trust its outputs, start integrating Gemini into broader workflows—like campaign planning, customer segmentation, or product development.
Evolve your approach. The more you experiment, the more you’ll understand its potential.
The smartest players aren’t watching from the sidelines. They’re in the game, learning, adapting, and building systems that make the most of these tools.
So here’s my challenge to you:
Don’t wait. Pick one part of your business, plug Gemini in, and see where it takes you. You don’t need to have all the answers—just take the first step.
Because the future isn’t going to wait for you to catch up.
NVIDIA And AI Agents
Let me start with this:
Being pro-human doesn’t mean being anti-AI.
In fact, it’s the opposite.
Being pro-human means staying in charge—of tools, systems, and yes, even AI Agents.
The people who dismiss agents outright?
They’re setting themselves up to be steamrolled by the ones who embrace and direct them.
And let’s be honest, we’ve been here before.
Early last year, when I launched a course on GPTs and Agents, most people shrugged. “Why should I care about autonomous Agents?” they’d ask.
Now, look around. It’s not just buzz. It’s a reality shaping industries, workflows, and, for better or worse, livelihoods.
Shruti Mishra points out something most people are afraid to admit:
AI Agents are wildly effective. In some cases, better than humans at handling routine or repetitive tasks.
I know what you’re thinking: "Doesn’t that mean humans lose control?"
Not if you’re smart about it.
The trick is this: let Agents do what they’re great at—pattern recognition, efficiency, scalability—but keep the decision-making firmly in human hands.
You’re not giving up control. You’re delegating it in a way that maximizes your impact.
For example:
Use Agents to process massive datasets or customer queries, freeing your team to focus on creative strategy.
Build Agent-powered workflows for repetitive operational tasks, but set guardrails so their outputs always align with your values.
The point is, Agents aren’t a threat unless you let them take the wheel completely. You’re still the driver.
I mean at this point look at the progression of AI:

At some point it is going to make way into everyones life, it’s best to find a way to get out in front of it and control it, before come company finds a way to sell its control to you.
On another note
Here’s where it gets tricky: while some are using Agents strategically, others are going to fall victim to it.
The idea is simple—there will be two types of people on the other side of AI agents. Those who use them, and those who are driven out by them.
This is why preparation is everything.
If you’re going to use Agents, you need to understand them. Not just what they do, but how they fit into your bigger picture.
And let’s be real: some of you are already using these tools without fully grasping their capabilities. It’s fine—most of us are learning as we go.
But here’s the difference: the pros are doing the work to stay ahead. Are you?
Again, AI is an amplifier. It magnifies the systems you have in place—good or bad.
If you make AI agents perform a system that isn’t optimized, it isn’t going to make it better.
This is your advantage.
The future should not be about AI taking over. It’s about humans using AI to create something better. The ones who get this will lead. The ones who don’t? They’ll be stuck trying to play catch-up.
Autonomous Agents are here, and they’re not going anywhere.
The people who thrive will be the ones who take control, set the rules, and use these tools to amplify their own strengths.
It’s not about being anti-AI. It’s about being pro-human. And being pro-human means stepping up, staying engaged, and owning the future—before someone else does it for you.
Scheduled Tasks: AI Working While You Sleep
ChatGPT no longer just responds to your prompts but anticipates your workflow(s).
OpenAI just dropped Scheduled Tasks in ChatGPT, and it’s one of the most impactful updates in a while.
It’s a beta release, so it’s a little wonky. But it mostly works and it’s the first step towards OpenAI rolling out their “Operator” agent.
If you’re still stuck in the “ask-answer-repeat” loop with AI, you’re missing the point.
Scheduled Tasks is about moving from reactive to proactive. It’s about automating the work that eats up your time—so you can focus on the stuff that really matters.
Scheduled Tasks lets you set up recurring actions within ChatGPT.
Want to pull daily market insights at 6 a.m.? Done. Need a report summarized before your morning coffee? Easy.
It’s not just about saving time (though it does). It’s about creating an AI assistant that feels like an actual assistant.
“AI shouldn’t just be a tool. It should be part of your team.”
Think about that for a second.
Most of us use AI like a calculator. It’s useful, sure, but it’s static. Scheduled Tasks flips that dynamic.
Now, AI becomes an active contributor to your day-to-day operations. It’s not only about answering your questions.
You can now put it to work on solving problems before you even think to ask.
So where does this actually fit into your life?
Insted of AI isn’t doing the work faster—what if it does the work you don’t want to do at all?
Think about the time it takes you to open up every tab, digest every stock, look at the weather, or look at any other statistic you do daily.
Imagine it was there, right when you opened your laptop, every morning.
Sounds powerful right?
Think bigger.
Scheduled Tasks can handle market research, content planning, and even customer engagement while you’re sleeping, working, or just living:
Some of you might be thinking, “Sure, this sounds great, but I’m not a developer. Do I need coding skills for this?”
Nope.
OpenAI has made it so simple, you could probably set this up faster than brewing your morning coffee.
And that’s the point. It’s for anyone who wants to stop being a bottleneck in their own workflows.
We’ve been trained to think of work as linear—you put in effort, you get results. But this? This is exponential.
The people who understand this shift are already pulling ahead.
They’re working smarter, delegating the mundane to AI, and focusing their energy where it counts.
If you’re still spending your mornings catching up on tasks AI could handle for you, you’re leaving leverage on the table.

Here’s what I’d tell you if we were sitting down over coffee:
Build systems that last, not just for what works today—think about what’ll work when everything changes (because it will).
Use AI within these systems to gain leverage.
Not to replace what you do, but to amplify it. Use it to automate the repetitive and scale the creative.
Keep one eye on the future and one on the present.
The future will reward patience, but the present demands action.
You need two views:
The next 10 years (actually, the next 100 but I’ll talk about that later).
The next 90 days.
Any 1-5 year plans will not work out. But a 10 year plan will.
The next decade of your business is being decided right now. Every tool you use, every system you build, every seed you plant—it’s all shaping the version of your business that exists in ten years and determines if you’ll make the next 90 days.
So, what’s it gonna be? Will you get swept up in the hype and the noise and the AI gurus pitching their 10,000 prompts pack?
Or will you focus, play the long game, and build something that lasts?
Cool. Calm. Collected. Strategic. Let the unwashed masses drool over silly prompts and AI toys.
The edge is yours to take.
It’s right here, right now, available to anyone…
If you’re bold enough to claim it.
Talk soon,
Sam Woods
The Editor