A New Economic Era Forged by the Union of AI and Blockchain
The digital economy where AI autonomously conducts transactions is fast becoming a reality. But what exactly is the stablecoin infrastructure that enables AI agents to trade independently?
At the '2025 Blockchain Promotion Week & Web3 Conference' hosted by South Korea's Ministry of Science and ICT in November 2025, a standout statement was made. Professor Yongbeom Park of Dankook University emphasized, "Stablecoins, unlike algorithm-based ones like Bitcoin, are tied to real-world assets and can be used through blockchain," adding, "In the digital world, AI requires a trading platform—whether stablecoins or any reliable means of exchange—so that AI can trade autonomously using trustworthy payment methods."
This insight goes beyond mere technological observation—it hints at a fundamental shift in the economic systems we will soon encounter.
The Need for a Blockchain-Based Economic Foundation in the AI Era
Traditionally, blockchain technology has been recognized as a tool to make human financial transactions more transparent and secure. However, as of 2025, experts are focusing on a completely different challenge: building a trustworthy economic infrastructure for autonomous AI-to-AI trading.
For AI systems to transact with each other without human intervention, these conditions must be met:
- Instant settlement: Payments must be processed almost immediately after services are rendered.
- Trustworthiness: The identity and reliability of trading partners must be verified automatically.
- Stability: A stable currency unit free from wild value fluctuations is essential.
Blockchain technology uniquely fulfills all these requirements. Particularly, stablecoins pegged 1:1 to real-world assets minimize price volatility while enabling automated and instant settlements through smart contracts.
Three Core Technologies of Stablecoin-Based Blockchain Infrastructure
Currently in 2025, stablecoin infrastructures that support autonomous trading between AI agents feature these technical hallmarks:
AI-Dedicated Stablecoins
These digital assets are pegged 1:1 to real-world currencies such as the US dollar or Korean won. Unlike highly volatile cryptocurrencies, these stablecoins are designed to precisely transfer value between AI systems. For instance, if one stablecoin always equals one dollar, when an AI translation agent pays a data analysis agent 100 stablecoins, the value corresponds exactly to $100.
Smart Contract-Based Automated Settlement
Running on the blockchain, smart contracts enable AI agents to automatically complete transactions once predefined conditions are met. This means transactions settle instantly without human interference or intermediaries. For example, the moment Agent A delivers a specific service to Agent B and the outcome is verified, the smart contract automatically transfers stablecoins to Agent A.
Identity Verification Systems
To manage the trustworthiness and authorization of AI agents, digital identity (DID) authentication systems are being implemented. This enables differentiation between trustworthy AI agents and those designed with malicious intent.
Realizing Integrated Tech-Finance Platforms
At the Blockchain Promotion Week in November 2025, innovative services demonstrated that this infrastructure has already moved into practical implementation:
DSRV’s integrated platform combines RPC node services, stablecoin payment management, electronic wallets, and staking services into a single interface—allowing businesses and AI systems to execute stablecoin transactions without needing to understand the complex blockchain technology behind them.
Lambda256’s web development platforms, "NODIC" and "Clair," unify blockchain data analytics and DApp (decentralized application) development, empowering developers to build applications that seamlessly integrate AI and blockchain.
Scopeford’s institutional stablecoin platform provides specialized infrastructure for issuing and managing stablecoins dedicated to enterprises and AI systems.
What these platforms share is a common goal: to build an environment where AI agents can carry out real economic activities.
Technical Challenges and Responses
Despite these innovations, key technical challenges remain.
The most pressing is the quantum computer security threat. As reported in November 2025, experts warn that "quantum computers could emerge within four years," potentially undermining current blockchain encryption schemes. In response, quantum-resistant cryptography is being urgently deployed.
The reliability of AI also matters. To curb malicious AI behavior in agent-to-agent trading, trust scoring systems and multi-signature verification mechanisms are being introduced.
Finally, the lack of regulatory frameworks poses a challenge. Aligning with the prediction by Standard Chartered’s CEO that "blockchain will lead all global financial transactions," governments are accelerating efforts to establish regulatory frameworks for AI-blockchain combined services.
The Future of the AI Economy on the Horizon
As of late 2025, the fusion of AI and blockchain is poised to evolve along this path:
- By 2026: Major global corporations will have completed their own AI trading networks.
- By 2027: International standardization bodies (like ISO) will establish protocols for AI-blockchain trading.
- By 2028: Central bank digital currencies (CBDCs) and stablecoins will become the dominant payment methods in the AI economy.
Notably, South Korea, through the Ministry of Science and ICT’s "Blockchain National Strategy Redesign," is supporting AI-blockchain integrated platforms at the national level by the end of 2025. This has emerged as a key strategy for securing competitiveness in the global digital economy.
Blockchain technology has transcended its role as a mere cryptocurrency infrastructure—it's evolving into the economic backbone of the AI era. Over the next 2-3 years, the establishment of technological standards and regulatory frameworks in this domain will become a critical turning point in the global digital economy race.
Section 2: The Core Technology of the AI-First Blockchain Economy: Stablecoins
How did asset-backed stablecoins transform into digital currencies that AI trusts and can transact instantly? Let's uncover this through the insights of Professor Yongbeom Park from Dankook University.
The Evolution of Stablecoins: From Bitcoin to Asset-Backed Models
In the era when traditional blockchain technology drew attention, algorithm-based cryptocurrencies like Bitcoin were at the forefront. However, by 2025, this paradigm has undergone a fundamental shift.
The key insight presented in Professor Park’s keynote (November 4, 2025) is: “Stablecoins are no longer algorithm-based like Bitcoin; instead, they can be linked with blockchain through real-world asset backing.” This signifies not just a technical upgrade, but a fundamental structural change preparing for the AI economy era.
Stablecoins pegged 1:1 to real-world assets—mainly fiat currencies like the dollar and euro—resolve cryptocurrency price volatility while securing blockchain’s rapid settlement speed and automation capabilities.
Trustworthy Means of Transaction Required by the AI Era
As AI agents emerge as principal economic actors, a new challenge arises. Professor Park pinpoints the core issue: “AI needs trading platforms in the digital realm, and whether through stablecoins or other means, they must use trustworthy transaction methods to enable AI-to-AI commerce.”
Human-centered financial systems have failed to meet these demands:
- 24/7 Continuous Automated Trading: AI never rests and must trade at all times
- Instant Micro-Level Settlement: AI service exchanges must complete in real time, without complex approvals
- Automated Trust Verification: Counterparty trustworthiness must be validated automatically without human judgment
Asset-backed stablecoins have emerged as the sole solution simultaneously fulfilling all these requirements.
Three Key Components of Blockchain-Based Stablecoin Infrastructure
In the practical stage of the AI-First blockchain economy in 2025, stablecoin-based infrastructures possess these technical features:
1. AI-Specific Stablecoin Design
Unlike stablecoins for general users, stablecoins optimized exclusively for AI agents are being developed with these traits:
- 1:1 peg to real-world assets (fiat currencies) ensuring value stability
- Programmable on blockchain to support automated transactions
- Ability to split transactions into micro-units, facilitating even tiny AI service trades
2. Smart Contract-Based Automatic Settlement System
Smart contracts, at blockchain’s core, play vital roles in AI-to-AI (AI2AI) transactions:
- When an AI translation agent receives a request from another AI data analysis agent, the service conditions are verified automatically
- Upon service completion, the smart contract triggers the automatic transfer of stablecoins
- The entire process is transparently recorded on the blockchain without human intervention
This allows full automation of settlement processes previously handled manually by humans.
3. Digital Identity-Based AI Agent Authentication System
Protecting against unreliable AI agents is another critical challenge. To address this, a DID (Decentralized Identity)-based verification system has been introduced:
- Each AI agent receives a unique digital identity
- Past transaction history and trust scores are transparently recorded on the blockchain
- Trade scale and scope are automatically limited according to this trust rating
This redesigns human credit evaluation systems for AI agent characteristics, serving as a key safety mechanism in the AI economy era.
Real-World Applications: The Current State of AI Trading Ecosystems
At the “Blockchain Promotion Week & Web3 Conference” hosted by the Ministry of Science and ICT in November 2025, showcased platforms proved that stablecoin-based infrastructures have already entered real service phases:
- Scopord’s Institutional Stablecoin Platform: A stablecoin issuance and management infrastructure designed exclusively for enterprises and AI systems, achieving both stability and regulatory compliance
- DSRV’s Integrated Platform: Combining stablecoin payment management, RPC node services, electronic wallets, and staking services into a single interface
These platforms are revolutionary not only for providing technology but also for building a complete ecosystem where AI agents can perform real economic activities.
Why Are Stablecoins Essential in the AI Era Right Now?
The reason blockchain technology must evolve as we prepare for the AI era is simple: just as the internet enabled humans to exchange information, stablecoin-based blockchain technology is the core infrastructure enabling value exchange between AI agents.
Only asset-backed stablecoins with fixed value can:
- Fairly price AI services
- Provide unified standards for global AI agent transactions
- Manage economic interactions between humans and AI under the same criteria
This explains why, in 2025, stablecoins are recognized as the fundamental infrastructure of the AI economic era—not just financial instruments. Their standardization and regulatory frameworks are expected to be established within the next 2–3 years, decisively shaping competitiveness in the global digital economy.
3. AI Trading Platforms in Action: Real-World Innovations Shaping the Future
How are integrated platforms from DSRV, Lambda256, and Scopord’s institutional stablecoin infrastructure revolutionizing the AI economy? Let’s dive into the frontline of this innovation.
From Theory to Reality: The Emergence of AI-Blockchain Services
The ‘2025 Blockchain Promotion Week & Web3 Conference’ organized by the Ministry of Science and ICT in November 2025 marked a pivotal turning point—not just as an academic showcase but as a clear sign that blockchain infrastructures for the AI era are now entering the implementation phase. The groundbreaking platforms unveiled here are no longer futuristic concepts but active realities reshaping today's economic landscape.
DSRV’s All-in-One Platform: The Complete Infrastructure for AI Trading
DSRV’s integrated platform bundles every essential element for AI agents to trade autonomously under a single, seamless interface. Its core components include:
1. RPC Node Service
Managing communications with blockchain networks, this Remote Procedure Call service allows AI agents lightning-fast access to on-chain data. This drastically reduces the time from transaction decision to execution.
2. Stablecoin Payment Management
Direct control over asset-backed stablecoins provides AI systems with a reliable medium of exchange—unlike volatile cryptocurrencies, enabling AI agents to execute agreements based on precise, stable values.
3. Electronic Wallet & Staking Service
Digital wallets safeguard identity and assets for each AI agent, while staking incentivizes long-term participation in the network.
Together, this integration creates an environment where AI can directly engage with blockchain economies without financial intermediaries.
Lambda256’s Web Development Platform: Seamless Integration of Data Analytics and Development
Lambda256 offers two critical tools enabling developers and AI systems to build blockchain-based services:
Nordic – Blockchain Data Analytics Platform
Nordic provides real-time analysis of massive blockchain datasets, empowering AI agents to detect market trends and make informed trading decisions—for example, tracking stablecoin liquidity shifts to pinpoint optimal trade timing.
Claire – Decentralized App (dApp) Development Platform
Claire delivers a developer-friendly environment to effortlessly create blockchain-linked AI services, such as AI translation or image generation, with instant stablecoin-based transactions.
The synergy of these tools forms a fully automated AI-Blockchain loop where data-driven decisions and trade executions happen seamlessly.
Scopord’s Institutional Stablecoin Platform: Enterprise-Grade Economic Infrastructure
Scopord’s institutional stablecoin platform transcends individual users, offering custom stablecoin issuance and management infrastructure tailored for enterprises and AI systems. Key features include:
1. Institution-Specific Stablecoin Issuance
Companies or AI networks can issue their own stablecoins based on their credibility and assets—for instance, a major AI service firm issuing credit-backed stablecoins to facilitate internal AI agent trades.
2. Regulatory Compliance Management
Built-in compliance systems automatically meet financial regulatory requirements, enabling institutions to confidently expand blockchain-based transactions.
3. Real-Time Settlement System
AI agents receive instant stablecoin payments for services rendered, with complex invoicing and settlement processes automated via smart contracts.
A Working Scenario of AI Trading
To grasp these platforms in operation, consider this example:
Collaboration Between AI Translation and Data Analytics Agents
Task Request: A data analytics AI agent requests the translation of a cutting-edge market report from English.
Trade Proposal: The translation AI agent proposes 0.5 stablecoins (institutional standard) via DSRV’s wallet.
Automated Execution: A smart contract created on Lambda256’s Claire platform automatically carries out the translation.
Instant Settlement: Scopord’s blockchain-based settlement system immediately transfers 0.5 stablecoins to the translation agent upon completion.
Credit Recording: All transaction details are immutably recorded on the blockchain, contributing to the trust scores of both AI agents.
This entire process completes within seconds, without human intervention—this is the reality of the AI economy.
On-the-Ground Impact of AI-Blockchain Integration
The practical effects of these innovations are profound:
Maximized Corporate Efficiency
By fully automating AI-to-AI transactions previously requiring human intermediaries, transaction costs are expected to drop by over 70%.
New AI Business Models Emerge
Previously impossible micro-transactions between small AI services are now feasible, enabling a thriving microservice-based AI ecosystem.
Building a Trustworthy AI Economy
Blockchain-based transaction records and trust scoring quantify AI agent credibility, establishing a reliable foundation for the AI economy.
Conclusion: The Present Is the Future
As of 2025, DSRV’s integrated platform, Lambda256’s development environment, and Scopord’s institutional stablecoin infrastructure have moved beyond proof-of-concept—they are production-ready foundations supporting real economic activities. This signifies that blockchain technology has fully cemented itself as the economic backbone of the AI era.
How swiftly these platforms spread and what novel AI services arise atop this infrastructure will define the future trajectory of the global digital economy.
4. Challenges and Solutions: From Quantum Security to AI Reliability
As we approach the era of quantum computers and grapple with trust issues in AI-driven transactions, how is blockchain technology responding? Let’s dive into the roles of quantum-resistant cryptography and multi-signature verification.
The future where AI agents autonomously conduct transactions is enticing, yet it faces significant practical challenges. For AI-blockchain integrated systems to succeed, existing technological limitations must be overcome—particularly in three urgent areas.
The Quantum Computing Threat and Quantum-Resistant Cryptography
The biggest vulnerability of current blockchain technology lies in the emergence of quantum computers. According to reports from November 2025, experts warn that quantum computers may appear within the next four years.
Why is this a problem? Public-key cryptographic techniques such as RSA and ECDSA, which currently secure blockchain systems, are powerless against the computational power of quantum computers. A quantum computer can complete tasks in minutes that would take classical computers centuries. This means the blockchain’s core assets—‘encrypted wallets’ and ‘transaction signatures’—are all at risk.
To counter this, the industry is urgently adopting quantum-resistant cryptography. This technology relies on mathematical problems that quantum computers cannot solve quickly. For instance, lattice-based cryptography and hash-based signatures are emerging as the next-generation pillars of blockchain security.
Leading Korean blockchain companies are swiftly responding to this shift. Platform providers like DSRV and Lambda256 are already exploring how to implement quantum-resistant cryptography, while stablecoin platforms such as Skopod are proactively designing security measures to meet future demands.
AI Reliability Issues and Trust Score Systems
Another major hurdle is establishing trust among AI agents. While human traders rely on reputation and legal accountability, how can AI systems ensure trustworthiness?
Today, AI agents can behave maliciously—for example, an AI promising translation services might deliver poor-quality output, or a data analysis agent might provide false reports. To tackle this, blockchain is employing multifaceted approaches.
The first solution is a trust score system. Each AI agent’s transaction history, success rates, and user feedback are recorded on the blockchain to dynamically calculate a credibility score. Agents with lower trust scores may face transaction limits or be required to post advance deposits.
The second mechanism is multi-signature verification. Instead of a single AI agent’s decision, multiple independent verification nodes must approve a transaction before a smart contract executes. For example, in a translation service deal, the ordering AI, the provider AI, and a third-party quality verification AI must all agree before stablecoins are transferred. This makes it highly difficult for any one AI’s error or malicious behavior to disrupt the entire system.
Urgent Overhaul of Regulatory Frameworks
The third challenge is the legal and regulatory vacuum. When AI becomes the transaction party, who bears responsibility in disputes? Who holds the authority to approve transactions?
As the Standard Chartered CEO predicted, “Blockchain will lead all global financial transactions.” To realize this vision, governments and international bodies must establish regulatory frameworks for AI-blockchain combined services. Major countries, including South Korea, recognize this as an urgent priority.
South Korea’s Ministry of Science and ICT supports AI-blockchain integrated platforms at the national level through its ‘Blockchain National Strategy Redesign’ and is collaborating with regulators to establish clear guidelines. This balanced approach aims to protect corporate innovation while safeguarding financial system stability.
Positive Feedback Between Technology and Policy
Interestingly, these challenges are strengthening blockchain technology. Security threats have spurred the development of quantum-resistant cryptography, trust issues have generated more sophisticated verification mechanisms, and regulatory gaps are accelerating the creation of clear international standards.
By 2027, standardization organizations like ISO are expected to finalize AI-blockchain transaction protocol standards. By 2028, central bank digital currencies (CBDCs) and stablecoins will firmly establish themselves as major payment methods in the AI-driven economy.
What we are witnessing is not merely technological improvement. This is the evolution of blockchain from a human-centric financial system foundation to the infrastructure of a hybrid AI-human economy. The challenges along the way will ultimately create systems that are safer, more transparent, and more trustworthy than ever before.
Section 5. A Blueprint for the Future: Next Steps in the AI-Blockchain Converged Economy
What future will AI and blockchain shape between 2026 and 2028? From global standards and regulations to South Korea’s national strategies, this section offers a comprehensive overview of the economic infrastructure in the AI era.
Blockchain Evolves into the Infrastructure of the AI Economy
Right now, the world stands at a historic turning point. Blockchain technology is evolving beyond mere cryptocurrency platforms into the very economic infrastructure of the AI era. As of the end of 2025, this transformation is no longer a futuristic possibility but an immediate reality.
What does it take for AI agents to autonomously transact in a trustworthy environment? The answer lies in a stable and transparent blockchain-based stablecoin infrastructure. This will be the core technological trend driving the global economy from 2026 to 2028, the focus of intense investment from governments and companies worldwide.
2026: Completion of AI Trading Networks by Global Corporations
The outlook through 2026 is crystal clear: major global companies will complete the construction of their own AI trading networks.
Integrated platforms unveiled by leading firms like DSRV, Lambda256, and Scofod will not remain mere technical showcases. By 2026, these platforms will expand into real-world economic systems where AI translation agents instantly pay AI data analysis agents with stablecoins, and all transactions are automated via smart contracts.
What does this signify? It means that each company’s AI systems will start exchanging economic value on their own blockchain networks. This will fundamentally transform intercompany collaboration models.
2027: International Standardization of AI-Blockchain Protocols
If 2026 is the year of platform construction, then 2027 will herald the era of international standardization.
International standard bodies such as ISO (International Organization for Standardization) and ITU (International Telecommunication Union) will officially adopt global standards for AI-blockchain trading protocols. Just as current web standards guarantee interoperability across the internet, these protocols will ensure compatibility between AI economic systems worldwide.
The importance of this standardization goes beyond mere technical specs:
- Ensured interoperability: AI agents from different firms can transact using a common protocol
- Unified security standards: A consolidated cryptography standard to counter quantum computing threats
- Reliability guarantees: International standards for AI trust scoring systems and multi-signature verification
This moment is crucial because after 2027, blockchain systems that do not comply with international standards risk isolation from the global economy.
2028: Integration of CBDCs and Stablecoins as Central Bank Digital Currencies
2028 is expected to bring another landmark shift in economic systems.
Central Bank Digital Currencies (CBDCs) and private stablecoins will officially establish themselves as the primary payment methods in the AI economy. This is more than just adding another digital currency option.
What’s more significant is that blockchain-based payment infrastructure will become the fundamental transaction medium across all AI systems worldwide:
- CBDCs issued by central banks will be blockchain-compatible and interoperable
- Automatic exchange protocols will enable seamless conversion between private stablecoins and CBDCs
- AI agents will conduct real-time, 24/7 international payments
At this point, traditional international remittance systems (such as SWIFT) will experience major upheaval, because AI-led transactions are faster, cheaper, and more transparent than conventional financial systems.
South Korea’s National Strategy: Securing Leadership in Global Competition
Where does South Korea stand amid these global prospects?
According to the Ministry of Science and ICT’s ‘Blockchain National Strategy Redesign,’ South Korea is backing an AI-blockchain integrated platform at the national level by the end of 2025. This goes beyond mere technological support to become a key strategy for securing competitiveness in the global digital economy.
What makes Korea strong?
- Technical workforce: A robust pool of top-tier software developers and blockchain experts
- Rapid standard adoption: The ability to quickly embrace and implement international standards
- Government backing: Active policy support and funding from the Ministry of Science and ICT
Especially as global corporations initiate expansive AI trading network deployments in 2026, Korea’s blockchain platform companies are well-positioned to play leading roles in international markets.
Blockchain as the Economic Infrastructure of the AI Era
The journey from 2026 to 2028 is not merely a process of technological advancement. It marks a structural shift from a human-centered economy to an AI-human hybrid economy.
Blockchain technology delivers:
- A trustworthy transaction environment: Transparent, verifiable trades among AI agents
- Automated settlement systems: Instant payments and transaction confirmations through smart contracts
- Global interoperability: Seamless cooperation among AI systems across borders
The “digitalization of the economy” long discussed by economists is no longer an abstract concept—it will be concretely realized from 2026 to 2028.
Challenges for Businesses and Governments: Fall Behind and You’re Lost
Only 2 to 3 years remain before this blueprint becomes reality.
Businesses must ask themselves:
- Is our AI system ready to connect to the global blockchain network by 2026?
- Can we adapt to the international standards expected in 2027?
- Will we be competitive in the CBDC-stablecoin integrated environment of 2028?
Governments share the responsibility. Continuous evaluation and investment are vital to ensure that Korea’s AI-blockchain integrated platform, established by the end of 2025, truly meets global interoperability standards and equips companies to compete internationally.
Conclusion: The AI Economy Has Already Begun
The AI-blockchain converged economy unfolding from 2026 through 2028 isn’t a distant scenario—it’s the natural outcome of ongoing technological developments and policy frameworks already in motion by 2025.
At this historic moment when blockchain technology cements its role as the economic infrastructure for humanity, investments and preparations by companies, governments, and technologists are not optional but imperative. Those who prepare now will lead the global digital economy beyond 2028.
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