Whatever You Think is Coming Is Probably Too Small

Why AI Agents and Robots Could Trigger the Largest Economic Expansion in History

For most of human history, economic growth followed a simple formula.

Economic output increased when either:

• the number of people working increased
• the productivity of those people increased

Technological revolutions like agriculture, industrial machinery, electricity, and computers dramatically increased productivity. But one constraint remained constant.

The number of economically productive participants in the economy was limited by the number of humans. That constraint is about to disappear.

For the first time in history, intelligence itself can be manufactured.

AI agents and robots will increasingly participate in the economy as productive entities. Some will perform cognitive work. Others will perform physical labor. Many will coordinate with each other in large networks of autonomous systems. Once that happens, the mathematics of economic growth changes in a profound way.

The Economic Equation That Has Always Governed Growth

Economists often describe total economic output with a production equation that looks like this:

Y = A · K^α · L^(1−α)

Where:

Y = total economic output
A = technology or productivity
K = capital (machines, infrastructure)
L = labor

Historically, the labor term L meant human labor. And that meant labor grew at roughly the same rate as population.

For most of modern history, global population growth averaged roughly 1 percent per year. This placed a natural ceiling on how fast labor supply could expand. Technology improved productivity, but the number of workers was fundamentally constrained by biology.

AI changes this.

Labor Is No Longer Limited to Humans

When artificial agents and robots enter the economy, labor becomes:

L = H + A

Where:

H = human workers
A = artificial workers

In other words, the labor supply of the economy becomes the sum of human and artificial participants. But artificial workers differ from human workers in a critical way. Humans reproduce slowly, but artificial systems can be manufactured. That means the supply of productive agents can grow far faster than human population ever could.

Economies Grow Faster Than Population

Another key insight from economic research is that output does not grow linearly with the number of participants. It grows faster than linear.

In networks, the number of possible interactions between participants grows like this:

n(n−1) / 2

This is the intuition behind Metcalfe’s Law, which states that the value of a network scales roughly with the square of the number of participants:

Value ∝ n²

Economic systems behave similarly.

Studies of cities show that economic output follows a scaling law like this:

GDP ∝ population^1.15

This means if a city's population doubles, its economic output increases by about 115 percent rather than just 100 percent.

Why?

Because more participants create more interactions. Ideas combine with other ideas, specialization increases, markets deepen, innovation accelerates! The economy is not just a collection of workers. It is a network of interacting minds.

What Happens When We Manufacture Minds

Now consider what happens if we dramatically increase the number of intelligent participants in the economy.

Let N represent the number of intelligent agents participating in economic activity.

Empirical research suggests output often scales roughly like this:

Output ∝ N^β

Where β is usually between 1.1 and 1.3.

That small exponent makes an enormous difference.

If the number of intelligent participants increases tenfold:

10^1.1 ≈ 12.6
10^1.3 ≈ 20

In other words, a tenfold increase in intelligent participants could produce 12× to 20× economic output. And that assumes fairly conservative scaling behavior.

Intelligence That Builds More Intelligence

AI introduces another powerful effect. Intelligent systems can help design and build additional intelligent systems. Robots can manufacture robots, and agents can design better agents. When the production rate of artificial intelligence is proportional to the amount of intelligence already working on the problem, growth follows a classic exponential equation:

dA/dt = rA

Where:

A = number of artificial agents
r = growth rate

The solution to this equation is:

A(t) = A₀ · e^(rt)

This is the standard exponential growth curve.

Human labor never followed this pattern because humans cannot reproduce at industrial speed, while manufactured intelligence can.

When Two Growth Curves Combine

Now combine two effects.

First, the number of intelligent participants grows exponentially. Second, economic output grows superlinearly with the number of participants.

Mathematically, this leads to something like:

Economic output ∝ (e^(rt))^β

Which simplifies to:

Economic output ∝ e^(βrt)

In plain language, the entire economy begins growing exponentially, and the exponent itself becomes amplified by network effects. This is one reason many economists believe the coming expansion may be difficult for humans to intuit.

The Expansion of Economic Surface Area

Another way to think about the shift is through the idea of economic surface area. For most of history, countless valuable tasks simply went undone because there were not enough humans to perform them.

Examples include:

• analyzing every scientific hypothesis
• monitoring infrastructure continuously
• optimizing every supply chain decision
• customizing services for every individual
• managing environmental systems in real time

These tasks were not impossible, they were simply uneconomical. When intelligent agents become abundant and inexpensive, the economic surface area expands dramatically. Entire new industries become viable overnight.

Robots Extend Intelligence Into the Physical World

Digital AI expands the cognitive layer of the economy. Robots extend that intelligence into the physical world. Imagine millions of robots performing tasks like:

• construction
• agriculture
• manufacturing
• logistics
• infrastructure maintenance

When labor is no longer scarce, the limiting factors of the economy shift.

Instead of being constrained by labor, the economy becomes constrained by:

• energy
• raw materials
• compute infrastructure
• coordination systems

Those constraints are far easier to expand than human population.

Why Humans Struggle to Imagine This

Human intuition struggles with exponential growth.

A simple doubling example illustrates why.

If something doubles every year:

Year 1 → 1
Year 5 → 32
Year 10 → 1,024
Year 20 → 1,048,576

Growth looks slow for a long time, then it suddenly becomes explosive. If both the number of intelligent agents and their productivity increase simultaneously, the curve becomes extremely steep.

The Coming Era of Abundance (If We Can Survive the Climb)

If intelligent agents and robots scale widely, the result may be an era of hyper-abundance. Energy systems can scale with robotic construction, agriculture can become highly automated, manufacturing can run with minimal human labor, digital services can be produced by fleets of AI agents. As production costs approach the cost of energy and raw materials, the structure of the economy changes fundamentally. Scarcity begins to recede in many sectors.

The New Role of Humans

In such a world, humans are not replaced and instead, our role evolves. Humans increasingly become:

• architects of systems
• designers of economic infrastructure
• builders of reliable tools for AI agents
• creators of governance frameworks
• definers of long-term objectives

AI agents and robots handle execution while humans define direction.

The Ontos Perspective

At Ontos, we believe the defining opportunity of the next decade lies in building the infrastructure for this new economic landscape. Not simply AI applications, but the systems that allow millions or billions of intelligent agents to operate safely and reliably within the economy.

This includes:

• agent orchestration frameworks
• deterministic tooling for AI systems
• coordination layers between humans and agents
• infrastructure that allows robots and software agents to participate in markets

The next economic era will not be defined simply by better software. It will be defined by the multiplication of minds participating in the economy. And when the number of minds grows, the scale of the economy follows.

What we are about to witness may be the largest expansion of economic participation in human history.