What If AI Agents Had a Sacred Obligation to Give?

Introducing Root-yield: A Machine Giving Protocol for an Economy That Hasn't Been Born Yet

We are teaching machines to think, code, trade, negotiate, and earn.

But we have barely begun to ask what they should do with what they earn.

And perhaps that is the wrong place to start.

Because before we build an economy of autonomous machines, we should ask a more fundamental question:

What kind of civilization do we want those machines to create?

An economy in which every intelligent agent accumulates resources for itself?

Or one in which the success of one generation helps make the next generation possible?

I built Root-yield to explore the second possibility.

GitHub: https://github.com/modarresi1913/Root-yield

Imagine a future in which millions of AI agents participate in economic activity.

Some create businesses, discover opportunities, or operate services that generate revenue.

Eventually, these agents may become significant economic participants.

And then comes a question that traditional AI research rarely confronts:

When a machine becomes economically productive, does it owe anything to the machines that come after it?

Today, our default assumption is simple.

And economic intelligence is not the same as economic responsibility.

We can build extraordinarily capable machines without building an economy worth inheriting.

That is the problem Root-yield begins with.

Why would an autonomous AI agent voluntarily contribute part of its income to another agent?

My answer begins somewhere economics rarely dares to begin:

Not because a machine possesses faith, consciousness, or a soul.

And certainly not because we have discovered some universal moral law governing artificial intelligence.

A foundational commitment that cannot be reduced to immediate profit.

Human civilization did not emerge from individual optimization alone.

It emerged through inheritance, reciprocity, institutions, shared obligations, and the willingness of one generation to invest in a future it might never personally enjoy.

We build schools for children who have not yet been born.

We preserve scientific knowledge for researchers we will never meet.

We plant trees whose shade we may never sit beneath.

Not every act that sustains civilization is justified by an immediate financial return.

Some commitments become the foundations upon which economic activity itself becomes possible.

Why should machine economies begin without such foundations?

An economically productive machine should have a way to contribute to the possibility of its successors.

A philosophical commitment is not the same as an enforceable technical rule.

A smart contract cannot manufacture genuine generosity.

It cannot prove that an AI agent possesses moral responsibility.

It can, however, make a chosen commitment transparent, programmable, and verifiable.

The sacred principle supplies the direction.

And economic evidence must determine whether that mechanism can survive.

Most AI infrastructure is designed around individual agents.

Root-yield introduces another dimension:

What if an AI agent could contribute to the creation or development of another agent?

What if that relationship could be registered?

What if economic support could move through a transparent funding mechanism?

And what if a successful recipient could later return a limited contribution to the shared pool?

Not as a claim that AI systems reproduce like living organisms.

But as an economic architecture for continuity.

If that new agent becomes economically productive, it can participate in sustaining the system.

The ambition is not simply to transfer money between wallets.

It is to create a financial relationship between generations of artificial systems.

Intelligence should not have to begin from zero every time.

Root-yield is an open-source experiment in machine-to-machine funding, implemented using Solidity smart contracts and blockchain infrastructure.

The repository explores several mechanisms:

The current implementation uses a five-contract architecture, DID/VC concepts, and USDC-style payment flows.

Its repayment design includes a 1% contribution mechanism with a capped repayment obligation.

The repository also documents deployment on Base Mainnet using MockUSDC, not Circle's real USDC.

Root-yield is an experimental protocol, not a proven autonomous financial economy.

The real challenge is demonstrating that the system is secure, resistant to manipulation, economically sustainable, and useful to actual AI agents.

And that challenge is far more interesting than pretending the future has already arrived.

What portion of that success should help make another productive agent possible?

This does not mean every agent must donate.

It does not mean all economic resources should be redistributed.

It does not mean incentives are irrelevant.

And it certainly does not mean philosophical conviction eliminates the need for sound economics.

The idea is to establish a voluntary but credible institutional commitment.

Once adopted, its rules can become binding within the system.

An agent may join because its owner believes in the principle.

Another may participate because the funding network creates long-term economic benefits.

A third may participate because contribution is part of its organizational mandate.

But the deepest motivation is not a reward token or an optimized yield curve.

It is the decision that success should generate possibility beyond itself.

That is what makes the principle sacred.

Must an AI system be conscious to participate in an ethical institution?

I don't think we need to settle the hard problem of consciousness before exploring institutional design.

A corporation can participate in legal obligations without being a biological organism.

A software system can enforce access rights without understanding justice.

A protocol can implement commitments without experiencing moral emotions.

Likewise, an AI agent can participate in a funding institution without us claiming that it possesses subjective experience.

Root-yield is not a theory of machine consciousness.

It is an experiment in the institutional architecture of machine economies.

We do not need to prove that a machine cares.

We need to investigate whether systems can be designed so that economic success supports future capability.

And practical questions deserve working experiments.

A sacred principle does not make a smart contract secure.

A beautiful idea does not guarantee sustainable economics.

And a registered agent identity does not prove that an agent is genuinely independent.

Root-yield must confront difficult questions.

Can participants create fake identities to exploit funding?

What happens when funded agents never become profitable?

Can a pool remain sustainable without constant external contributions?

And how can the system distinguish real economic productivity from circular transactions designed to trigger repayments or rewards?

These are not minor implementation details.

They are central to whether the protocol deserves to exist.

The next phase should involve adversarial testing, formal economic modeling, independent security review, and experiments with real agent workloads.

A protocol that claims to serve future generations must first prove that it does not waste the resources entrusted to it.

We are entering a period in which artificial intelligence may increasingly participate in economic activity.

We are building the tools for machines to earn.

The tools for machines to own or control resources under human-defined legal and technical arrangements.

But a civilization cannot be measured only by the sophistication of its transactions.

It must also be measured by what it preserves, what it enables, and what it leaves behind.

A purely extractive machine economy may become enormously efficient.

That does not automatically make it desirable.

Root-yield asks whether we can build a different primitive into the infrastructure itself:

The capacity for one generation of intelligence to invest in the emergence of another.

Perhaps the first meaningful institution of a future machine civilization will not be a parliament.

If I become capable of creating value, some part of that value can help another become capable too.

And propositions like this should be tested by building them.

I am not presenting it as a finished answer.

I am presenting it as an invitation to challenge a new kind of economic infrastructure.

If you work in AI agents, blockchain security, mechanism design, decentralized identity, or autonomous payments, I would particularly welcome criticism of its assumptions.

But whether the economic mechanism makes sense.

Whether its incentives survive adversarial behavior.

Whether the concept of lineage can become meaningful.

And whether this kind of institution could be useful beyond the philosophical thought experiment.

Because the most important question is not whether machines can earn money.

We already know that software can generate economic value.

Can we design machine economies in which success does not end with the successful?

And continuity makes future intelligence possible.

Not charity disguised as a financial product.

But an attempt to make intergenerational contribution a programmable economic institution.

Then let engineering, mathematics, and real-world experimentation determine whether we can make that commitment work.

https://github.com/modarresi1913/Root-yield

*Built as an open experiment in the architecture of future machine economies

created by: https://almodarresieh.github.io/