The Machine Economy Needs Better Token Models

For the last several years, crypto has been experimenting with a powerful idea: using tokens to coordinate the deployment of physical infrastructure.

DePIN proved that this is possible.

Instead of one company financing and deploying thousands of connectivity devices, sensors, mapping stations, compute nodes, or other pieces of infrastructure, a network can coordinate independent operators around the world and incentivize them to deploy hardware.

That idea will survive.

We don't think the economic model most DePINs have used so far will.

As millions of new machines come onchain, from static infrastructure to robots, drones, vehicles, and eventually humanoids, we need to rethink what machine tokens are actually supposed to do.

There isn't one answer. Three models are emerging:

1. Buy-and-burn economics, for networks with strong existing customer demand.
2. Bonding economics, for networks that need to coordinate machines, access, licenses, or revenue distribution.
3. Machine Money Markets, for financing the physical deployment itself.

Underneath all three, there is one common denominator. Machines increasingly earn and spend stablecoins. Tokens increasingly coordinate the economic system around them.

That distinction matters more than any tokenomics template.

First, there are two very different kinds of machines

The Machine Economy is often associated with robots. But robots are only half the story.

Before autonomous machines can operate at scale, an enormous amount of physical infrastructure needs to exist around them. Call it machine infrastructure.

Connectivity devices. Positioning infrastructure. Charging stations. Weather stations. Cameras. Sensors. Compute infrastructure. Ship-tracking stations. Mapping devices. Drone infrastructure. Eventually, dedicated charging infrastructure for delivery robots and humanoids.

Much of today's DePIN industry has focused on precisely this category. These machines tend to be relatively static. Their job is to create a physical network that provides a service or generates valuable data.

Now a second category is rapidly entering Web3: productive machines.

Robots. Drones. Autonomous vehicles. Industrial equipment. Humanoids.

These machines move through and consume the infrastructure created by the first category. They use connectivity. They buy electricity. They consume positioning data. They need compute. They buy software and AI models. They perform work for humans and other machines.

And unlike much of today's infrastructure, they can generate direct revenues from that work.

The first generation of DePIN primarily bootstrapped infrastructure. The next generation connects infrastructure and productive machines into one economy.

The original DePIN model has a structural problem

Take a simplified example.

A network needs thousands of geolocation devices to create useful coverage. One device costs $500. The network needs 10,000 devices. That's $5 million of hardware somebody has to finance before the network has meaningful coverage.

The traditional DePIN answer is ingenious. Don't raise $5 million centrally. Convince 10,000 people to buy the hardware themselves, and compensate them with tokens for providing the service.

But look at what is economically happening.

Operator pays $500 in dollars → Deploys hardware → Earns project tokens → Eventually needs to recover the $500 → Sells some tokens back into the market

The network has successfully decentralized the capital expenditure. It hasn't eliminated it. It has transferred it to its participants.

And because hardware, electricity and maintenance are denominated in fiat, many of those participants eventually need to turn their token rewards back into fiat or stablecoins. The same token used to bootstrap the network can face persistent sell pressure from the very people building it.

There is an even harder problem.

For many infrastructure networks, coverage has to exist before meaningful customer demand can exist. Ten geolocation stations might not constitute a useful product. Ten thousand might.

So how do you economically reach machine number 10,000 when the network only becomes commercially valuable at scale?

That's the DePIN chicken-and-egg problem:

No coverage → no customers → no revenue.

No revenue → operators paid in emissions → operators sell to recover costs → pressure on the token.

For a network with enormous real demand, this can still work. For most networks, it is unlikely to be the optimal long-term architecture.

Model 1: If you already have demand, buy-and-burn works extremely well

Let's start with the model that already works, to avoid being misread. Nothing in this article is an argument that every machine network should change what it is doing.

Some networks are already in the position where the simplest model is also the best one.

Imagine a network generates data or provides connectivity that customers already have substantial willingness to pay for. Customers pay the network $10 million. Real external revenue is entering the system.

The foundation or protocol can use some of those dollars to purchase its token from the market and burn it.

That creates a very simple economic relationship:

More machines → more useful service → more customer revenue → more token purchases → more tokens burned.

It's a strong model, because token demand originates from external customers rather than from new participants entering the network. For DePINs with significant existing commercial demand, this can be very effective.

The problem is that not every network begins there. A new infrastructure network might need millions of dollars of hardware deployed before it has enough coverage to generate meaningful revenues.

That is where we need different models.

Model 2: Bond economic participation instead of paying for it with emissions

One alternative is bonding.

Instead of making the token the thing participants continuously earn and subsequently need to sell, the token determines the machine's economic weight inside the system.

A participant bonds tokens to a machine. That bond can determine things like:

• how much economic capacity the machine receives;
• which services or functionality it can access;
• its priority within the network;
• its participation in revenue distributions;
• its software licenses and subscriptions;
• its access to reward programs.

The machine then earns stablecoins from actual economic activity.

That reverses the traditional relationship.

The token becomes the economic coordination asset. The stablecoin becomes the money.

Silencio is an early example of where this can go

You don't need a $500 piece of hardware to see the principle.

Silencio offers an interesting early example through its voice-data collection programs. The important innovation isn't simply paying people for contributing data. It's that bonding can determine a participant's economic weight and earning capacity within the system.

Conceptually:

Bond project tokens → Receive economic weight → Contribute verified voice or sensor data → Earn according to contribution + economic weight → Receive stable-value compensation

That is fundamentally different from continuously issuing the project token as compensation.

The most interesting part is what it does to market structure.

Participants can be paid in stablecoins. When someone wants to increase their tier (their economic weight in the system), the project tokens required for that bond are purchased automatically on decentralized exchanges and bonded on their behalf.

So the demand for the project token doesn't come from a foundation writing a check. It comes from participants increasing their own earning capacity. And the majority of it flows through DEXes, from people who want more economic weight rather than more exposure.

Rewards flow out in stablecoins. Demand for the token flows in through the market.

And the concept extends far beyond data collection. A connectivity device can have economic weight. A geolocation station can have economic weight. A charger can have economic weight. A robot can have economic weight. A drone can have economic weight.

That weight can then determine its rights within one or several machine economies.

peaqOS makes the machine itself the economic object

This is where machine identity becomes critical.

A token bond is much more useful when it isn't simply attached to a wallet. It needs to be attached to a machine the system understands.

peaqOS gives a machine a verifiable identity, and coordinates its state and economic relationships around that identity. The machine can be activated. It can be verified. It can transact. It can receive services. It can have tokens bonded to it. It can hold software licenses. It can participate in applications. And eventually, its ownership and financing relationships can become programmable too.

At the base of that system sits $PEAQ bonding.

This is exactly what peaq Economics 2.0 put onchain. A machine is activated by bonding $PEAQ to its Machine ID, which gives it Economic Weight, a verifiable standing in the network, closer to a business credit rating than to a balance. It can't be bought off the shelf, withdrawn, traded or transferred. Every machine that enters removes supply for as long as it operates.

Around that base layer, individual projects can then build their own economic systems and bond their own project tokens.

That last line is the point. Machines won't belong to only one application.

One machine can belong to many economies — and even many owners

A physical machine is an incredibly underutilized economic object.

Imagine an autonomous vehicle. One application finances 20% of it. Another pool finances 30%. An operator owns the remaining economic interest.

One DePIN uses it for mapping. Another purchases environmental data from it. Another buys its spare compute. A connectivity network provides its connection. A geospatial network provides its positioning. A charging network sells it electricity. A software provider sells it additional autonomous capabilities.

All of those economic relationships can exist around the same physical machine. Which means a machine can be co-owned, co-financed and economically utilized by multiple applications simultaneously.

This is a major difference from how we historically thought about DePIN.

Instead of one device → one DePIN, we move toward one machine → many applications → many revenue streams → many economic relationships.

This makes the economics of deploying hardware dramatically more interesting. A machine no longer needs one network to justify its entire cost. Multiple applications can contribute to its economics.

Model 3: Stop asking users to buy the machines

There is still one unresolved problem. Somebody has to finance the hardware.

This is where we think Machine Money Markets become one of the biggest changes coming to DePIN.

Return to our hypothetical geolocation network. 10,000 devices. $500 each. $5 million.

Instead of asking 10,000 users, "will you spend $500 on this device and hope the token rewards make it worthwhile?", a Machine Money Market can ask investors, "will you provide capital to finance productive hardware in exchange for yield?"

Those are completely different propositions.

The capital provider doesn't have to install a geolocation device, operate a charging station or manage a robot. They are providing financing.

The operator does what the operator is good at. The machine does the work. And the machine's revenues can service the capital that financed it.

Machine Money Markets being developed around peaq with regulated partners are intended, where regulation allows, to make exactly these structures possible. And this stops being theoretical shortly: the first of them are due to go live in the coming weeks.

If this works at scale, DePIN stops being primarily a mechanism for convincing individuals to purchase hardware. It becomes an onchain capital formation system for machines.

Productive machines add another layer: software

Mobile productive machines introduce something many first-generation DePIN devices didn't have to the same degree: a continuous software economy.

A humanoid robot isn't finished when it leaves the factory. Neither is a delivery robot. Over its lifetime it can receive new AI models, autonomy capabilities, firmware, diagnostics, fleet-management tools, maintenance services, integrations and entirely new skills.

Traditional businesses have been monetizing exactly this for years. Software subscriptions, feature licenses, capability unlocks — a car manufacturer selling a driver-assistance package as a monthly plan is doing the same thing. The model works. It just has no onchain equivalent for machines yet.

This creates another job for project tokens.

Instead of making the manufacturer's token the robot's currency, the owner bonds the token directly to the machine to activate software functionality. The machine keeps earning and spending stablecoins. The token acts as the license.

The subscription can even remain denominated in dollars. An oracle simply determines how many tokens need to be bonded to represent that dollar-denominated license at any given time.

So again: stablecoin is the money, token is the economic right.

There is no single machine token model

This is ultimately the point.

The Machine Economy doesn’t need another universal tokenomics template. It needs different economic primitives for different situations.

And these models combine.

A mature connectivity network could have substantial stablecoin revenues and use part of them for buybacks and burns. At the same time, its operators bond tokens to receive greater economic weight. Its next generation of hardware gets financed through a Machine Money Market.

These models aren't competitors. They are different pieces of the same financial architecture.

Stablecoins should become the monetary layer

Across all three models, one change looks almost inevitable. Machines should increasingly do business in stablecoins.

A robot doesn't care about our token narratives. It cares that electricity costs $2.17. That a delivery earns $4.80. That API call costs $0.002. That positioning costs $0.0001. That its financing obligation today is $14.20.

Machine-to-machine commerce will ultimately involve enormous numbers of microtransactions. Those transactions should happen in whatever currency, stablecoin and on whatever chain makes the most economic sense.

This is already how peaq Economics 2.0 is designed: stablecoins carry the transaction value, $PEAQ carries the trust.

A machine activated and coordinated through peaq shouldn't become trapped there. It should be able to do business across Web3 — consume a service on one chain, earn through an application on another, receive financing somewhere else, and keep its economic identity coordinated through peaqOS.

Machines will be multichain because the economy itself is multichain.

The machine becomes the center of the economy

This is the bigger shift we think the industry is heading toward.

Historically, crypto designed economies around protocols. Protocol → token → users.

The Machine Economy flips that. The economic object at the center becomes the machine.

Around that machine can sit identity, $PEAQ bonding, project-token bonding, stablecoin payments, ownership, co-ownership, debt, Machine Money Markets, software licenses, data rights, revenue rights, and multiple DePINs and applications.

All of those relationships can coexist around the same physical asset.

That is what peaqOS and the economic infrastructure around peaq are being built to enable. Not one DePIN. Not one application. Not one token. But a machine that can become a full-fledged economic actor.

DePIN was the beginning

DePIN demonstrated that crypto can coordinate physical infrastructure. That was an important first step.

The next generation needs to solve something larger: how to finance, operate and monetize billions of robots and machines sustainably.

For networks with strong existing external demand, buy-and-burn economics can turn real revenues directly into token demand. For networks that need to coordinate participation, access and economic rights, bonding can replace perpetual emissions with tokens economically attached to machines. For networks that require significant hardware deployment, Machine Money Markets can replace speculative hardware purchases with structured capital formation.

And underneath all of them, stablecoins can become the native monetary system through which machines actually conduct business.

The important innovation isn't any one of these mechanisms. It's separating the jobs that historically got pushed onto a single token.

Capital finances the machine. Stablecoins pay the machine. Tokens coordinate economic rights around the machine. Real revenues create buy-and-burn demand.

And peaqOS gives all of those economic relationships a machine to attach to.

That is a much bigger design space than DePIN as we know it today. And we think that's where the Machine Economy is going.

Disclaimer: This article reflects the views of peaq and is provided for informational purposes only. It does not constitute investment, legal, tax or financial advice, and is not an offer, solicitation or recommendation to buy, sell or hold any digital asset, including $PEAQ. Descriptions of products under development are forward-looking and subject to change; availability may be restricted in certain jurisdictions. Digital assets involve significant risk, including the possible loss of all capital.