What AGI Means for Leaders (And What to Do Before It Arrives)
AGI, or artificial general intelligence, is AI that can learn and reason across almost any task the way a person can. It is not here yet, and nobody can tell you exactly when it will be. But the leaders who will handle it well are the ones building the right habits today, with the AI agents they already have.
Over the last few years, the questions I get from senior leaders have followed a clear path. First it was "What is this ChatGPT thing?" Then it was "How do we use generative AI?" Then it became "What are AI agents, and should we be worried?"
Now a new question is showing up. What about AGI?
It is a fair question. And my answer usually surprises people. I do not start with technology. I start with what they are doing right now.
What Is AGI?
Most AI today is narrow. It is very good at certain kinds of tasks. It writes, it summarizes, it spots patterns, it answers questions.
AGI is different. The idea is a system that can learn almost anything, move between very different problems, and reason through situations it has never seen before. Less like a tool. More like a very capable colleague.
That is the simple version. The experts disagree on the details, on how to measure it, and on when it will arrive. I am not going to settle that debate. That is not my lane. My background is business strategy. I spent 12 years at Deloitte helping leaders plan for disruptive innovation, and the business question is far more useful: what should leaders do while everyone else argues?
I shared my quick take on AGI in this short video:
https://www.instagram.com/reel/DdHOGqMuKwY/
Three Waves, One Direction
I think about this as three waves.
Generative AI helps you create. You ask, it produces. A human decides what happens next.
Agentic AI acts on your behalf. You give it a goal, and it plans the steps and gets them done. I wrote more about this shift in Agentic AI Explained for Business Leaders.
AGI would think across everything. Not one goal or one workflow, but almost any problem you put in front of it.
Each wave hands a little more of the work, and a little more of the judgment, to the machine. That is the direction of travel. The speed is the only real unknown.
I have seen the second wave up close. I built an AI agent that now handles customer inquiries in my own business. It did not just save time. It changed how we work. AGI would take that shift much further.
I go deeper on where AI agents are heading, and what that means for leaders, in this video: Why AI Agents Are the Future
Why You Should Care Now, Even If AGI Is Years Away
Here is the pattern I see again and again with big shifts. Early on, the new thing looks a bit silly. People laugh at it. Then, a few years later, it is not funny anymore. It is the reason disruption always starts as a joke.
AGI is in that early phase right now. Some people dismiss it as science fiction. Others talk about it like it arrives next quarter. Both groups are missing the point.
The point is this. The habits that will help you in an AGI world are the same habits that help you with AI agents today. How you decide what stays human. How you hold people accountable when software acts. How fast your teams learn. You can build all of that now.
What I Tell Leaders to Ignore
The timeline debate. Nobody knows when AGI will arrive, and I would be careful with anyone who claims they do.
The doom headlines. Fear makes people freeze. Frozen organizations do not adapt.
The "wait and see" instinct. Waiting feels safe. It is not. The organizations waiting today will be the ones explaining themselves in five years.
Five Moves to Make Before AGI Arrives
Get good at AI agents first. Agents are the training ground for everything that comes next. Start with real use cases and measure them properly. Here is how to measure the real value of AI agents.
Decide which decisions stay human. As AI takes on more judgment, you need clear lines on accountability. This is what AI governance is really about, and it belongs with leadership, not only with IT.
Build deep generalists. When machines handle more specialist work, the people who connect ideas across fields become more valuable. I wrote about the deep generalist advantage here.
Make trust your advantage. When content, voices and even decisions can be generated by machines, trust becomes scarce. The brands and leaders people trust will win.
Stay curious, not scared. Curiosity makes you experiment. Fear makes you wait. The leaders I see getting this right lead with curiosity.
The Human Side of AGI
It is easy to make all of this about technology. I think that is a mistake.
The more capable machines become, the more the human parts of leadership matter. Judgment. Empathy. Taste. The courage to make a call when the data does not give you a clean answer.
I believe AI agents will soon outnumber human employees in most organizations. If AGI follows, the question for leaders is not whether machines can do the work. It is what kind of people, and what kind of culture, you want leading alongside them.
Bring This Conversation to Your Leadership Team
AI agents, and what comes after them, are core themes in my keynotes, including Innovation in a World of AI and Leadership in an Agentic AI World. If your team is starting to ask what comes next, let's talk.
You can find more of my thoughts on AI on my YouTube channel, or answers to common questions on my FAQ page.
Frequently Asked Questions
What is the difference between AI and AGI?
Most AI today is built for specific kinds of tasks. AGI refers to AI that could learn and reason across almost any task, much like a person can.
What is the difference between agentic AI and AGI?
Agentic AI takes action toward a goal you set, within a defined area. AGI would be able to take on almost any goal, in any area, and adapt to new situations on its own. Agentic AI is here today. AGI is not.
When will AGI arrive?
Nobody knows for sure, and estimates vary widely. For leaders, the better question is whether your organization will be ready when it does.
Will AGI replace jobs?
It will change jobs, as every major technology has. The bigger risk is organizations that do not prepare their people. Leaders who invest in skills, judgment and trust will be in a far stronger position.
How should leaders prepare for AGI?
Start with the AI agents available today. Set clear rules on which decisions stay human, measure what AI actually delivers, and build a culture that learns fast.
About Shawn Kanungo
Shawn Kanungo is an innovation strategist, keynote speaker and bestselling author of The Bold Ones. He spent 12 years at Deloitte working closely with leaders to help them plan for the opportunities of disruptive innovation, and he was the first innovation expert with streaming specials on Apple TV and Prime Video. Today his keynotes focus on generative AI, agentic AI and what they mean for the future of leadership.