Defining the Economy of Things
What Is the Economy of Things EoT and Why It Will Change How You Own Everything
A smart parking meter, after accepting payment, autonomously contracts a nearby electric vehicle charging station to reserve a spot for the driver, settling the fee in real-time. This is the Economy of Things (EoT), a decentralized network where physical devices become self-sufficient economic agents. EoT works by equipping machines with digital wallets and smart contracts, allowing them to negotiate, transact, and pay each other for services without human intervention. The benefit is a seamless, automated ecosystem where idle resources, like a parked car’s battery, can sell energy or data to generate revenue for their owners.
Defining the Economy of Things
The Economy of Things (EoT) defines a decentralized digital ecosystem where connected devices autonomously exchange value. In practice, this means your smart car pays a charging station directly for energy, or a refrigerator orders and pays for its own groceries. This redefines ownership and transactions, turning everyday objects into independent economic agents. The core of defining the Economy of Things lies in shifting value exchange from human-mediated actions to machine-to-machine automation. Every sensor, actuator, and smart device becomes a self-sovereign participant, capable of negotiating and settling micro-transactions in real time without human intervention. It is the infrastructure for a truly automated marketplace, where utility and data are traded peer-to-peer by the objects themselves.
How EoT Extends the Internet of Things
EoT extends the Internet of Things by embedding autonomous economic agency directly into connected devices. Where IoT merely transmits sensor data to centralized servers for human analysis, EoT enables smart assets to negotiate, transact, and settle payments independently using smart contracts. A thermostat, for instance, can purchase electricity from a grid-connected solar panel without human intervention, based on real-time pricing data. This shifts IoT from a passive observation layer to an active, self-sustaining machine economy.
Q: How does EoT fundamentally change IoT device interactions?
A: It transforms devices from data reporters into autonomous economic actors that directly exchange value—paying for services, renting capabilities, or selling surplus resources—beyond simple data sharing.
Consequently, device interoperability shifts from technical compatibility to enforceable value exchange protocols.
The Shift from Connected Devices to Autonomous Value Exchange
The transition from connected devices to autonomous value exchange redefines the core utility of the Economy of Things. Rather than merely reporting data, a device now initiates and settles transactions without human intervention. A sensor-equipped parking space, for example, can auction its occupancy rights to the highest-bidding vehicle, directly debiting a digital wallet upon entry. This shift eliminates the need for central oversight or manual billing. Autonomous value exchange thus transforms each connected asset into an independent micro-economy, where value flows based on real-time demand and pre-programmed rules, not user commands. The device shifts from a passive tool to an active economic participant.
| Connected Devices (Passive) | Autonomous Value Exchange (Active) |
|---|---|
| Reports data for external analysis | Acts on data to execute transactions |
| Requires human approval for action | Operates within pre-set smart contracts |
| Value is extracted by third parties | Value is negotiated and claimed by the device itself |
Key Differences Between IoT and EoT Frameworks
IoT frameworks connect devices for monitoring or control, but EoT frameworks turn those connections into autonomous economic transactions. The core difference is that IoT devices typically report data to a central hub for human decisions, whereas EoT devices negotiate, pay, and receive payments directly among themselves without human intervention. Machine-to-machine value exchange replaces simple data streams. For example, a temperature sensor in IoT just sends a reading; in EoT, that same sensor might buy cooling services from a smart AC unit using digital tokens. This shifts each device from a passive tool to an active economic participant that runs micro-transactions in real time.
IoT frameworks focus on connectivity and data visibility; EoT frameworks focus on autonomous, value-based transactions between devices, turning every interaction into a potential digital market.
Core Components That Power EoT
The Economy of Things (EoT) runs on three core components: connected devices, secure ledgers, and smart contracts. Devices, like sensors or vehicles, generate real-world data—temperature readings or location pings. Blockchain or similar ledgers record that data immutably, proving ownership. Smart contracts then execute trades automatically when conditions are met, like a car paying a charging station upon connection. Curious how a device pays? Q: What triggers a transaction in EoT? A: A smart contract, which checks data from the device and releases funds once the event happens. Without these three pieces working together, a machine can’t sense, prove, or trade autonomously.
Machine-to-Machine Transactions and Smart Contracts
In the Economy of Things, your washer could directly pay the smart meter for electricity during off-peak hours, or an autonomous delivery drone might rent landing space from a parking lot sensor. This works through smart contracts, which are self-executing agreements living on a blockchain. They act as the honest middleman, automatically verifying that a machine completed its task—like a vehicle delivering a package—and then instantly releasing payment. There’s no need for a human to approve each micro-cost or dispute. This makes automated machine payments fast, trustless, and perfectly suited for billions of small transactions between devices.
Tokenization and Digital Wallets for Devices
In the Economy of Things, tokenization of device assets transforms every connected machine into a programmable economic agent, assigning a unique digital twin that governs access, value, and transaction rights. Digital wallets for devices act as autonomous on-chain identities, enabling machines to pay for energy, data, or compute services without human intervention. This peer-to-peer value exchange between devices relies on fractional token ownership for micro-transactions, eliminating middlemen. A smart car can instantly settle parking fees from its wallet, while a sensor pays for data verification—creating a trustless, self-sustaining device economy.
| Tokenization | Digital Wallet for Devices |
|---|---|
| Represents device identity & asset rights on a ledger | Holds keys & executes autonomous payments |
| Enables fractional ownership & micro-royalties | Manages balance & transaction history per device |
| Secures device service agreements via smart contracts | Validates peer-to-peer device settlements |
Blockchain as the Trust Layer for Device Economies
In the Economy of Things (EoT), devices must transact autonomously without human oversight. Blockchain serves as the trust layer for device economies by providing an immutable, decentralized ledger where each machine-to-machine interaction—from energy trading to data sharing—is cryptographically verified and recorded. This eliminates the need for central authorities, as smart contracts automatically enforce agreements between sensors, vehicles, and infrastructure. For users, this means your devices can securely negotiate payments, validate service delivery, and prove ownership without a middleman, ensuring every microtransaction is transparent and tamper-proof.
Blockchain as the Trust Layer for Device Economies ensures autonomous, verified, and fraud-resistant machine interactions in the Economy of Things.
How Devices Become Economic Actors
In the Economy of Things (EoT), a device becomes an economic actor when it can autonomously transact value for its own services. Instead of just collecting data, a smart sensor or a connected car wallet is given a digital identity and a payment method. It then negotiates and pays for things directly—like a parking meter paying for its own electricity or a drone buying airspace to fly through. This turns gear from a passive tool into a self-managing economic agent that handles routine micro-payments without human approval. The device’s software simply triggers a transaction when it detects a need, making it a direct participant in the digital economy.
Self-Owning and Self-Leasing Machines
In the Economy of Things, autonomous asset ownership allows machines to operate as self-sustaining economic agents. A self-owning industrial robot, for example, uses smart contracts to pay for its own electricity, repairs, and data subscriptions from the revenue it generates by selling its manufacturing output. If demand drops, the machine can self-lease its capacity to other networks, adjusting its pricing algorithm to maximize utilization. This eliminates human treasury management entirely. Q: How does a machine enforce its own lease payments? A: It disables its own operation via blockchain-triggered kill switches until the lessee’s microtransaction clears, ensuring zero credit risk.
Automated Billing and Revenue Sharing Without Humans
In the Economy of Things, automated billing and revenue sharing without humans transforms devices into self-sustaining economic actors. Smart infrastructure, like autonomous vehicles or energy meters, executes microtransactions in real-time using smart contracts on distributed ledgers. When an electric vehicle charges from a street-side charger, the charger automatically deducts funds from the vehicle’s digital wallet, instantly splitting the revenue with the grid operator and property owner—all without manual invoicing. This enables frictionless micropayments for services rendered, freeing users from oversight while ensuring every device monetizes its contributions instantly.
- Devices negotiate and settle payments autonomously via pre-set algorithms.
- Revenue splits are programmed into smart contracts, eliminating reconciliation delays.
- Billing cycles occur per interaction, not per month, for precise usage-based charging.
Decentralized Identity and Permissioned Data Sharing
In the Economy of Things, devices become independent economic actors through decentralized identity and permissioned data sharing. Each device holds a self-sovereign identity (SSI) on a distributed ledger, enabling it to authenticate itself without a central authority. Permissioned data sharing then allows the device to selectively grant or revoke access to its operational data—such as sensor readings or usage logs—to other machines or services. This ensures data exchanges are consensual, verifiable, and encrypted, directly supporting peer-to-peer value transactions.
- Devices use cryptographic keys to prove identity and sign data requests autonomously.
- Access tokens define granular permissions, limiting shared data to specific use cases.
- Revocation lists instantly remove a device’s access rights without network-wide disruption.
Real-World Use Cases Driving Adoption
The Economy of Things (EoT) is driven by real-world use cases where devices autonomously transact value without human intervention. A smart electric vehicle, for instance, can automatically pay a charging station for energy, settling the fee via a digital wallet while the driver sleeps. Similarly, a connected industrial sensor might detect low coolant levels and instantly purchase a refill from a pre-approved supplier. This machine-to-machine micropayment system unlocks asset monetization for idle equipment, like a solar panel leasing its excess power to a neighbor or a smart fridge ordering groceries. These practical, frictionless micro-transactions between physical objects are the core engine pushing EoT from concept to essential infrastructure.
Smart Energy Grids Trading Excess Power Peer-to-Peer
Within the Economy of Things, smart energy grids enable a practical shift from centralized distribution to peer-to-peer power trading. Here, household solar panels or battery storage become network nodes, automatically negotiating excess kilowatt-hours with immediate neighbors via a digital ledger. This logic bypasses the utility as intermediary, instead leveraging real-time supply and demand data to route surplus energy directly to a nearby home with higher consumption. The transaction settles instantly through machine-to-machine value exchange, meaning a rooftop generator effectively becomes a micro-utility. This creates a closed-loop local system where energy flows according to immediate need, not scheduled grid baselines.
Autonomous Vehicles Paying for Charging and Parking
Within the Economy of Things, autonomous vehicles become self-managing economic agents. They can negotiate and pay for charging in real-time, selecting the cheapest or most convenient spot without human input. Parking follows the same logic; the car autonomously locates and pays for a space, then returns when summoned. This seamless autonomous payment for mobility services creates a dynamic flow:
- Vehicle identifies an available charging port via the EoT network.
- It authorizes a micro-transaction from its digital wallet to the charging station.
- Payment completes automatically, and charging begins without driver interaction.
Industrial Sensors Monetizing Environmental Data Streams
In the Economy of Things, industrial sensors transform environmental data streams into direct revenue. A factory’s vibration, temperature, or air quality readings are no longer mere operational metrics; they become tradeable assets. Monetizing environmental data streams allows manufacturers to sell precise atmospheric or acoustic data to insurers for risk modeling, or to smart-city platforms for traffic and pollution mapping. By packaging sensor outputs into subscription-based data feeds, industries unlock perpetual value from existing infrastructure, turning every production cycle into a profit-generating data exchange.
Technological Infrastructure Required
The Economy of Things (EoT) requires a decentralized technological infrastructure that seamlessly merges IoT networks with blockchain protocols. Every physical asset must be equipped with tamper-proof sensors and low-power wide-area network connectivity to transmit real-world data directly onto a distributed ledger. A robust layer-2 scaling solution is essential to handle the micro-transactions generated by machine-to-machine payments, avoiding network congestion. Additionally, edge computing nodes are non-negotiable for processing sensor data with sub-second latency, ensuring autonomous devices can negotiate and settle value exchanges without cloud dependency. This stack—combining hardware-level attestation, decentralized identity standards (DIDs), and programmable smart contracts—forms the only viable backbone for a trustless, machine-driven marketplace.
Distributed Ledger Integration for Immutable Records
Distributed ledger integration for immutable records is the bedrock of trust in the Economy of Things (EoT). Every machine-to-machine transaction—from a vehicle paying for tolls to a sensor selling data—is permanently recorded on a shared ledger. This eliminates disputes by creating a single, tamper-proof history of ownership and usage. The practical implementation follows a clear sequence for each EoT interaction:
- A smart device generates a transaction event (e.g., energy consumed).
- The event is cryptographically signed and broadcast to the network.
- Consensus nodes validate the event against the device’s identity and balance.
- Once confirmed, the record is appended to the distributed ledger, becoming immutable.
Oracle Networks Bridging Off-Chain Data to Smart Contracts
Within the Economy of Things technological stack, oracle networks bridge off-chain data to smart contracts by authenticating and transmitting real-world machine outputs—such as temperature readings from a cold-chain sensor or a vehicle’s odometer update—directly onto the ledger. This prevents a smart contract from executing based on inaccurate internal assumptions. The oracle must verify data provenance across multiple nodes to ensure tamper-proof delivery before the contract triggers payment or access rights. Without this verified bridge, an IoT device’s sigmoid would remain isolated silo data, unable to autonomously execute a lease or insurance clause.
Oracle networks serve as the verified conduit through which physical IoT data enters immutable smart contract logic, enabling automated machine-to-machine transactions.
Low Latency Connectivity and Edge Computing Demands
The Economy of Things (EoT) hinges on ultra-low latency edge processing, where data from connected assets—like autonomous vehicles or industrial robots—cannot afford a round trip to a distant cloud. To meet these demands, micro-data centers must sit physically adjacent to the devices, using 5G or Wi-Fi 6 for near-instant signal handoff. This architecture follows a clear sequence:
- Data is generated and pre-filtered locally on the device’s onboard chip.
- It is then sent to the nearest edge node for context-aware analysis under 10 milliseconds.
- Only anonymized summaries or critical triggers finally reach a central cloud.
This pipeline ensures real-time asset control and response for transactions like automated toll payments or dynamic energy trading.
Economic Incentives and Business Models
In the Economy of Things (EoT), economic incentives and business models shift from selling hardware to monetizing the data and functionality of connected devices. A machine owner, for example, is incentivized to lease its sensor output to a logistics firm for route optimization, creating a new revenue stream. This is often structured as a usage-based or subscription model, where third parties pay per data transaction or capability access. Q: How does a business model generate revenue from idle device capacity? A: By enabling peer-to-peer data markets where devices autonomously negotiate payments, like a smart streetlight selling its camera feed to a retailer for foot traffic analysis. The core incentive is unlocking latent value from static assets, replacing one-time sales with continuous, automated value exchange between machines. This transforms capital expenditure into operational revenue for the device owner.
Microtransactions Between Machines at Scale
In the Economy of Things, machine-to-machine microtransactions
value exchanges between devices without human approval, enabling autonomous service payments. A smart vehicle pays a charging station’s meter directly for kilowatts drawn, while an industrial sensor credits a weather drone for real-time data. These transactions must settle instantly, often on distributed ledgers, to maintain supply chain flow.
- Devices negotiate fees in real-time, like a drone agreeing with a landing pad for priority access.
- Payments can be fractional cents, as when a warehouse robot pays a shelf sensor per item picked.
- Smart contracts automate reconciliation, cutting latency between service use and settlement.
- Machines self-ration budgets, halting non-critical purchases when operational credits run low.
Dynamic Pricing Based on Real-Time Device Supply and Demand
In the Economy of Things, real-time device supply and demand powers dynamic pricing, where connected machines autonomously adjust service costs. A smart freezer might pay more for cloud storage when network capacity tightens, while an idle sensor earns credits for sharing its bandwidth. This shifts devices from static consumers to active market participants, bidding for resources like latency or energy as needs fluctuate. Pricing spikes during peak use encourage non-critical devices to defer tasks, smoothing network load without human intervention. Conversely, abundant supply from idle components triggers price drops, making connectivity affordable for urgent data flows. The result is a self-balancing system where every transaction reflects immediate device context.
Dynamic pricing in EoT lets devices negotiate costs based on real-time resource availability, optimizing network efficiency without central control.
Shared Ownership Models for High-Cost Assets
In the Economy of Things, shared ownership models for high-cost assets transform expensive equipment like industrial drones or smart agricultural machinery into fractional holdings. Instead of one entity bearing the full purchase price, multiple users buy tokens or digital shares representing usage rights. This shifts the economic incentive from sole possession to collective access, where a smart contract automatically manages scheduling and payments based on actual runtime. A fleet of autonomous tractors, for example, becomes accessible to a cooperative of small farms, with each paying only for their precise hours of operation, eliminating idle capital and unlocking asset productivity for all participants.
| Model Aspect | Traditional Ownership | EoT Shared Ownership |
|---|---|---|
| Cost Barrier | Full asset price paid upfront | Fractional token purchase |
| Asset Utilization | Often low, idle periods are costly | Maximized via dynamic scheduling |
| Access Governance | Sole decision-maker | Smart contract rules for all members |
Security and Privacy Implications
In the Economy of Things (EoT), where billions of devices autonomously trade data and services, security and privacy become intensely personal. Every connected sensor, car, or appliance essentially becomes a self-managing «economic agent.» The core threat is that compromised devices can be hijacked to leak your private behavioral patterns or execute fraudulent transactions directly from your home network. A smart lock, for instance, might negotiate parking fees with your car, but a breach could expose your daily schedule.
Your physical environment is now an economic ledger; a single infected device can drain a crypto wallet or expose your entire home’s biometric data.
To stay safe, you essentially need airtight device-to-device authentication and strict data-minimization settings, ensuring your coffee maker cannot sell your sleep patterns to a third party.
Preventing Fraud in Autonomous Device Agreements
In the Economy of Things (EoT), autonomous device agreements must embed cryptographic identity verification to prevent fraud. Each smart machine negotiates contracts without human oversight, so spoofed identities could hijack transactions. Use zero-trust attestations where devices prove ownership via hardware-secured keys before signing. Smart contracts should self-audit payment flows, flagging anomalies like repetitive micro-transactions from a single device. Without these measures, fraudulent devices can drain digital wallets or falsify service records. The protocol must invalidate any agreement where sensor data disagrees with the recorded action, ensuring only legitimate machine-to-machine deals execute.
Data Sovereignty and Consent in Device-Oriented Economies
In device-oriented economies within the Economy of Things (EoT), consent-driven data autonomy requires users to dictate granular permissions for each smart device’s data stream. This shifts control from platform-centric aggregation to per-device authorization, where a sensor must explicitly receive user approval before sharing its telemetry with other machines or services. Data sovereignty becomes operational through localized consent contracts executed on edge devices — not in centralized servers — ensuring that every transmission ties back to an individual’s prior delegation of access. Without such consent, the device remains functionally isolated, preventing unauthorized machine-to-machine data pooling.
Data sovereignty and consent in device-oriented economies transform each smart object into a permission gatekeeper, enforcing user-defined rights over real-time device data exchanges before any EoT transaction occurs.
Cryptographic Verification of Machine Identities
In the Economy of Things (EoT), cryptographic machine identity verification ensures that every connected device—from a vending machine to an autonomous vehicle—is authenticated before it participates in economic transactions. This process uses public-key infrastructure (PKI) and digital certificates to bind a unique cryptographic key to each device’s hardware, preventing impersonation or spoofing. Without this binding, a malicious actor could trick a smart charger into accepting fraudulent energy payments, undermining the entire trust model of the EoT. Verification happens in milliseconds, allowing devices to autonomously negotiate and settle value exchanges securely. Q: How does cryptographic verification prevent a hacked sensor from faking its identity? A: By requiring the sensor to prove possession of a private key that matches its registered public certificate—without access to that key, even a compromised device cannot successfully authenticate.
Regulatory and Compliance Challenges
The Economy of Things (EoT) enables autonomous, machine-to-machine transactions, but this automation creates practical regulatory and compliance challenges. Devices must verify their identity and transaction permissions without human oversight, requiring robust digital trust frameworks. A key question is: How can autonomous machines prove regulatory compliance in real-time? This is addressed through embedded compliance protocols, where devices self-execute rules and log immutable transaction records for audit trails. Challenges include ensuring these automated systems align with data sovereignty laws, as transactions cross jurisdictional lines without centralized control. Additionally, compliance demands that smart contracts dynamically adapt to varying legal definitions of asset ownership, preventing unauthorized transfers. Without these embedded checks, an autonomous tractor, for example, could inadvertently purchase fuel from a sanctioned entity. Therefore, regulatory compliance shifts from manual oversight to code-based enforcement within the transaction itself.
Jurisdictional Issues When Devices Transact Across Borders
In the Economy of Things, autonomous devices executing cross-border transactions immediately collide with conflicting national laws. A smart grid sensor in Germany paying a French charging station must navigate which country’s contract law governs the micro-payment. This creates a practical risk: an asset could be held liable for violating data sovereignty rules—where a sensor logs a journey through Austria—if the transaction record crosses an unrecognized jurisdiction. The core challenge is conflict of legal obligation; a device may validly perform a transaction under one set of rules while simultaneously breaching another’s requirements for consent or reporting. Without embedded logic for jurisdictional parsing, the device simply cannot guarantee its own compliance across borders.
Liability Frameworks for Unmanned Economic Actors
When a drone or autonomous vehicle makes a mistake in the Economy of Things, figuring out who pays is tricky. Traditional rules don’t cover machines acting alone. https://topionetworks.com You need a clear liability framework for unmanned economic actors to assign responsibility when a device fails or causes damage. Without this, trust breaks down. Q: Who is at fault if an autonomous delivery bot crashes? A: Usually the manufacturer, the software owner, or the device’s owner—depending on what failed and who controls the bot’s actions.
Taxation of Machine-Generated Revenue Streams
The taxation of machine-generated revenue streams in the Economy of Things (EoT) demands a radical shift from conventional income models. When autonomous assets—like self-renting machinery or data-selling sensors—transact without human intervention, you face immediate practical hurdles: identifying the taxable event and assigning liability. Unlike passive income, these streams originate from machine-to-machine activity, meaning you must track every micro-transaction as a discrete revenue line. This requires dynamic transaction classification to differentiate between service fees, data royalties, and asset leasing, each with distinct tax treatments. You cannot simply report an annual total; you must audit algorithmic profit-sharing and cross-jurisdictional value flows inherent to machine-led commerce.
- Implement real-time tax ledger systems to capture each autonomous micro-transaction immediately upon execution.
- Classify revenue per transaction type (e.g., data sale vs. equipment service) to apply correct withholding and VAT rules.
- Establish contractual smart contract clauses that pre-define tax liabilities for machine-to-machine profit splits.
- Maintain separate digital wallets for tax reserves to ensure compliance without manual reconciliation of machine-generated funds.
Future Trajectory of EoT Ecosystems
The future trajectory of EoT ecosystems points toward autonomous micro-economies where devices negotiate and transact without human intervention. This shifts EoT from simple data exchange to self-executing value flows between machines, such as a drone paying a charging station for energy based on real-time demand. Q: How will EoT ecosystems evolve practically? A: They will decentralize trust, enabling direct device-to-device contracts using programmable digital value, eliminating intermediaries for routine exchanges. Users will interact less with individual payments and more with policy settings that define how their assets participate in these automated markets. The practical focus is on creating frictionless, token-based interactions where every asset, from a solar panel to a logistics robot, becomes an active economic agent within a self-balancing EoT framework.
Interoperability Standards for Cross-Platform Device Markets
Interoperability standards for cross-platform device markets ensure that any gadget—smart fridge, industrial sensor, or car—can seamlessly talk to others in the Economy of Things. Without these rules, devices from different brands would form isolated digital islands. Standardized communication protocols let your home automation hub understand commands from a rival firm’s thermostat, making the entire EoT ecosystem practical. You get a unified experience: one app controls everything, regardless of manufacturer. Data formatting agreements also prevent crashes.
- Define common API languages so devices exchange data without custom code
- Set security handshake methods to verify each device before sharing info
- Establish power-use profiles so battery-operated gadgets coordinate efficiently
The Role of AI in Autonomous Negotiation and Trade
In the Economy of Things (EoT), AI acts as the smart bargainer for your devices. It enables autonomous negotiation and trade, where your smart fridge can automatically secure the best energy prices by haggling with local grid nodes in real time. This means your electric vehicle can negotiate a lower charging fee by sharing its battery surplus with a neighbor’s home, all without your input. AI constantly evaluates data points—like usage patterns, freshness, and demand—to make split-second trading decisions that save you money and resources.
- Your washing machine can autonomously negotiate cheaper water usage during off-peak hours.
- A smart thermostat might trade excess solar power directly with a nearby factory for a discount on future energy.
- AI can broker micro-payments between devices, like your sensor paying a drone for quick delivery of spare parts.
Potential for Decentralized Physical Infrastructure Networks (DePIN)
DePIN’s true potential within the Economy of Things lies in shifting infrastructure ownership from centralized entities to the users themselves. By tokenizing physical assets—such as sensors, routers, or storage drives—you can directly contribute hardware to a network and earn rewards for its use. This model eliminates corporate gatekeepers, allowing your devices to autonomously negotiate value exchange for bandwidth, compute, or environmental data. DePIN effectively turns every connected object into a self-funding node that pays you for its utility. The practical outcome is a self-sustaining EoT ecosystem where infrastructure scales organically based on community-driven resource allocation, not top-down capital expenditure.
Defining the Economy of Things: A Connected Marketplace for Devices
How Machines Become Autonomous Economic Actors
The Core Difference Between IoT and the Economy of Things
Core Mechanisms Driving a Device-to-Device Economy
Smart Contracts Enabling Trustless Transactions Between Gadgets
Tokenization of Data and Services for Microtransactions
