[PART 3. The Investment Thesis – The 3 Core Pillars of the AI Agent Economy]

"The more intelligent AI becomes, the more valuable the 'fuel' and 'infrastructure' it consumes."

In Part 1, we witnessed the birth of the "Digital Worker" (AI Agents). In Part 2, we explored why they are forced to abandon legacy finance in favor of Crypto. Now, we arrive at the final question: Where should we invest?

Investing in the AI era isn't about chasing trends; it's about identifying and positioning yourself in the "resources" and "roads" that machines will inevitably consume to function. Here is an in-depth analysis of the 3 core pillars sustaining the AI Agent economy and the key assets fueling them.

 

1. The 3 Core Sectors of AI Infrastructure: Where is the Capital Flowing?

The Three Pillars of AI Infrastructure: Computing, Payment, and Data.

 

The AI economy relies on three pillars: Computing, Payment, and Data.

① The Computing Power Sector (DePIN): The 'Brain' of the Agent

AI models require massive computational power for inference and training. The "GPU shortage" will only intensify as the number of AI Agents grows. The core of this sector is creating decentralized cloud power by aggregating idle GPUs globally.

• Render (RNDR/RENDER): Expanded its decentralized GPU rendering network into AI inference. It serves as a core infrastructure where Agents can rent resources at a fraction of the cost of centralized clouds.
• Akash Network (AKT): The "Airbnb of cloud computing." It provides a decentralized marketplace where Agents automatically connect to the most efficient GPU resources via an auction-based system.
• Bittensor (TAO): Builds a massive decentralized intelligence network. Agents can purchase or share "intelligence" (model knowledge) from other models, creating a real-time marketplace for AI capability.

② The Payment & Settlement Sector (Payment Rail): The 'Blood' of the Machine Economy

AI Agents operate 24/7, executing micro-payments every second. Traditional finance is too slow and expensive for this. High-performance blockchains that settle globally in 0.1 seconds are essential.

• Fetch.ai (FET/ASI): The infrastructure built specifically for AI Agents. It is the leading project implementing workflows where Agents autonomously navigate networks, collaborate, and settle payments on the blockchain.
• Near Protocol (NEAR): Advocates for "User-owned AI." As a high-performance Layer 1, it leads the way in creating environments where Agents can autonomously run models and execute instant payments.
• Solana (SOL): The king of micro-payments. Capable of processing thousands of transactions per second at negligible costs, it offers the throughput required for a swarm of Agents transacting simultaneously.
• XRP (XRP Ledger): The standard for banking and international corporate settlement. It acts as the trusted conduit when Agents need to interface with corporate financial systems for large-scale international transfers.
• HBAR (Hedera): Boasts corporate-friendly governance, making it the preferred choice for enterprises integrating AI into Supply Chain Management systems that require ultra-fast, predictable settlement.

③ The Data & Trust Sector (Data Oracle & Layer): The 'Eyes' and 'Skeleton' of the Machine Economy

AI Agents face catastrophic losses if they act on bad information. Oracles are the conduits that verify "facts" from the real world, such as real-time prices, logistics data, and weather.

• Chainlink (LINK): The undisputed leader in the Oracle space. It guarantees that data referenced by AI Agents is tamper-proof. Its CCIP (Cross-Chain Interoperability Protocol) serves as the standard infrastructure for moving value securely between disparate blockchains.
• Ethereum (ETH): The "OS of the Digital Economy." As the home for most enterprise solutions and DeFi services, it provides the most stable, secure ecosystem for Agents to execute complex financial logic and act as the final settlement layer.

 

[AI Agent Economic Infrastructure Map]

Sector	Core Assets	Role in AI Agent Economy	Economic Connection
Computing (DePIN)	RNDR, AKT, TAO	Supply of compute & intelligence	Token consumption proportional to resource usage
Payment	FET, NEAR, SOL, XRP, HBAR	Instant settlement & automated value transfer	Transaction volume growth per ecosystem activity
Data (Oracle/OS)	LINK, ETH	Data verification & final security layer	Token demand based on data calls & smart contract execution

 

[The Jeonramhoejang Perspective]

 

These assets are not mere "thematic" plays. They are utility assets that generate network fees, require token burning, or necessitate staking every time an Agent performs a task. As the AI Agent ecosystem expands, the scarcity of these assets will inevitably rise. This is the sharp, undeniable "Investment Thesis" for why we must pay attention to AI-Crypto right now.

 

 

 

 

2. Computing Power and Data Sharing – Decentralized Infrastructure

Consolidating global idle compute into one—DePIN, the heart of the AI Agent.

 

"Consolidating global idle compute into one, the heart of the AI Agent: 'DePIN'."

① The Computing Power Sector (DePIN): The 'Brain' and 'Engine' of the Agent

For an AI Agent to evolve beyond a simple chatbot and autonomously navigate complex scenarios, it requires massive computational backing. The "GPU shortage"—a bottleneck that will only intensify as AI Agents proliferate—is the defining challenge of our time. The core of this sector is aggregating idle GPU resources scattered across the globe into a singular, massive cloud power grid.

② The Essence: Decentralized GPU Computing (DePIN)

Centralized clouds (AWS, Google, etc.) are expensive and hit scaling limits. Decentralized Physical Infrastructure Networks (DePIN) connect high-performance GPUs sitting idle worldwide, creating a marketplace where AI Agents can rent computing resources on-demand, the moment they are needed.

③ Why is this critical to the Agent Economy?

AI Agents must constantly call upon affordable, accessible computing resources to remain efficient. Relying on centralized servers traps an Agent’s activity within cost-prohibitive constraints. Conversely, decentralized infrastructure allows Agents to trigger the closest available compute resource, regardless of physical geography, to execute tasks instantly.

④ Core Asset Analysis

• Render (RNDR/RENDER): "The Standard for Decentralized Compute"
  • The Differentiator: More than just a GPU rental service, Render has successfully pivoted its massive network of rendering nodes into the AI inference market.
  • The Driver: When Agents perform 3D simulations or Generative AI inference, Render offers unmatched cost-efficiency compared to centralized clouds. The Burn-and-Mint Equilibrium (BME) model, where tokens are burned upon task completion, directly ties network utilization to token deflation.
• Akash Network (AKT): "The Open Marketplace for Compute"
  • The Differentiator: An auction-based computing marketplace that doesn't rely on specific nodes. Agents can compare the lowest prices and best performance in real-time to be assigned computing power.
  • The Driver: For operators scaling Agent services, Akash is the rational choice for cost optimization. Demand for the network grows linearly with the scaling of Agent operations.
• Bittensor (TAO): "The Decentralized Model of Intelligence"
  • The Differentiator: Going beyond hardware, it shares the "output of AI models" (intelligence). Agents don't just rent hardware; they purchase knowledge (Intelligence) from the best-performing models.
  • The Driver: A system where compute providers and intelligence providers compete for rewards (TAO). As Agents call upon this network for smarter responses, the utility and value of the token rise accordingly.

⑤ Economic Value: The Yardstick of Agent Activity

Every time an Agent performs a complex task, computing resources are consumed, and the network token is either paid out or burned. Consequently, as the volume of AI Agent activity grows, the demand for tokens within these computing power networks rises proportionally.

 

[Core Assets of the Computing Power Sector]

Asset	Core Strength	Role in AI Agent Economy	Economic Link
Render	Massive GPU Supply Chain	Graphic-based & AI inference compute	Token burn proportional to usage
Akash	Auction-based cost efficiency	General-purpose cloud compute	Token payment for compute rental
Bittensor	AI intelligence model fusion	Sharing optimal AI models/knowledge	Rewards for intelligence/model contribution

 

[The Jeonramhoejang Insight: 3 Core Takeaways for Investors]

1. Render builds the "Physical Highway" for decentralized compute.
2. Akash acts as the "Auction House" that minimizes the tolls on that highway.
3. Bittensor supplies the "Brain" (Intelligence) that travels on that highway.

The heart of this sector is that every time an AI Agent performs a complex task, a network fee is triggered. This means as AI Agents proliferate, the profit does not flow to centralized entities (like AWS), but is distributed among the token holders participating in the network.

 

 

 

 

3. The Payment and Settlement Sector – Machine-to-Machine Payments and Universal Wallets (Stablecoin & Payment Rail)

The economy of machines that never sleeps: The era of 0.1-second micropayments.

"The economy of machines that never sleeps: The era of 0.1-second micropayments."

This sector serves as the "blood vessels" of the digital economy, processing the endless stream of micro-transactions that occur every millisecond when AI Agents request information from data centers or lease infrastructure. These are the core technologies building a frictionless, human-free payment environment.

① The Essence: Stablecoins and High-Performance Settlement Networks

In the AI Agent economy, fiat currencies (like the Won or the Dollar) are inherently sluggish and inefficient. This sector provides high-performance blockchain networks that utilize stablecoins, allowing for the cross-border transfer and settlement of value in less than a tenth of a second.

② Why is this critical to the Agent Economy?

If AI Agents were to process their thousands of daily micropayments through legacy banking rails, the transaction fees would far exceed the principal amount—a classic case of "the cure being worse than the disease." Agents can only operate 24/7 without interruption on networks where payment finality is instantaneous and transaction fees are negligible.

③ Core Asset Analysis

• Fetch.ai (FET) / ASI (Artificial Superintelligence Alliance):
  • The Differentiator: Positions itself as "infrastructure for AI Agents themselves." It implements entire workflows—where Agents autonomously discover networks, collaborate, and settle payments—directly on the blockchain. It effectively acts as the Operating System (OS) for the Agent economy.
• Near Protocol (NEAR):
  • The Differentiator: Advocates for "User-owned AI." It leads in creating environments where Agents can autonomously run AI models and execute payments on-chain. In particular, its "Account Abstraction" technology allows Agents to manage wallets in a far more intuitive and streamlined manner.
• Solana (SOL):
  • The Differentiator: The powerhouse of micropayments. By processing thousands of transactions per second at an incredibly low cost, it offers unparalleled speed for environments where swarms of Agents are transacting simultaneously.
• XRP (XRP Ledger):
  • The Differentiator: The industry standard for international banking and inter-corporate settlement. When an Agent needs to interface with corporate financial systems for large-scale international transfers, XRP serves as the most trusted conduit. It handles the "institutional-grade" payment rails of the Agent economy.
• HBAR (Hedera):
  • The Differentiator: Backed by enterprise-friendly governance (the Hedera Governing Council). When corporations introduce AI into Supply Chain Management systems, Hedera is the ultra-fast payment rail they trust and adopt most frequently.

 

 

[Core Assets of Payment and Settlement Infrastructure]

Asset	Key Strength	Role in AI Agent Economy	Economic Link
Fetch.ai (ASI)	Agent-specific framework	Agent workflow & collaboration control	Fees from Agent-to-Agent tasks
Near	Account Abstraction & AI-friendly	Agent wallet management & operation	Agent activity within the network
Solana	High speed & Low cost	Real-time mass micropayments	Gas fees per transaction
XRP / HBAR	Enterprise/International Standard	Large-scale inter-corporate transfers	Utilization based on settlement volume

 

[The Jeonramhoejang Perspective]

 

Legacy financial systems operate on the human schedule of 9-to-6, but the payment rails supported by these assets never sleep. As the population of AI Agents grows, the transaction volume for these projects will rise in a "stair-step" fashion. While machine-to-machine (M2M) payment volume may seem negligible in the early stages, it will trigger explosive demand the moment we cross the critical threshold of adoption.

 

 

 

 

4. Decentralized Data Oracles and Layers – The 'Eyes' and 'Security Rails' of the Machine Economy

The truth that machines perceive: Data Oracles and Smart Contracts.

"The truth that machines perceive: Data Oracles and Smart Contracts."

For an AI Agent to become a fully autonomous digital worker, it requires two fundamental capabilities: the ability to accurately perceive the outside world (Oracles) and the ability to settle all transactions with maximum security (Payment/Security Layers). Without this infrastructure, an Agent’s decisions are based on "blind information," and every payment becomes a "risky gamble."

 

① Decentralized Data Oracles

An Oracle serves as a bridge, connecting the off-chain world to the blockchain. When an AI Agent makes a decision based on real-time exchange rates, weather conditions, or logistics data, the Oracle mathematically proves that this information has not been tampered with.

• The Essence: A system that fetches, verifies, and delivers real-world data to the blockchain in a format that Smart Contracts can trust.
• Why is it needed? If an Agent is instructed to "Pay based on current market prices," but the price data is manipulated, the Agent will suffer immediate financial loss. Untrusted data is essentially poison to an AI Agent.
• Core Asset: Chainlink (LINK)
  • The Moat: The undisputed leader in the Oracle space. It ensures that data referenced by AI Agents is verifiable and secure. Through its CCIP (Cross-Chain Interoperability Protocol), it has established itself as the standard infrastructure for moving value securely across disparate blockchains. As Agents perform increasingly complex tasks, the volume of verified data calls will surge, driving direct utility demand for the LINK token.

② Smart Contract & Execution Layers

This is the "Operating System (OS)" of the digital economy where Agents execute complex business logic and perform final settlements. It is where every autonomous contract of an Agent is executed and recorded.

• The Essence: A programming environment where contract terms are automatically executed on the blockchain.
• Why is it needed? To execute complex enterprise approval chains or financial logic, Agents require a security layer that is resistant to hacking and backed by a massive, battle-tested ecosystem.
• Core Asset: Ethereum (ETH)
  • The Moat: The "OS of the Digital Economy." The vast majority of enterprise solutions and financial services are currently developed on Ethereum (and its Layer 2 ecosystem). When an Agent manages complex "DeFi (Decentralized Finance)" products or executes enterprise logic, it relies on Ethereum’s stability and vast ecosystem, serving as the "Final Settlement and Security Layer" for the entire machine economy.

 

[Core Assets of Data and Security Infrastructure]

Sector	Core Asset	Role in AI Agent Economy	Economic Link
Data Oracle	Chainlink	External data verification & linkage	Token demand tied to data call volume
Security/Execution	Ethereum	Business logic execution & final settlement	Gas fees from Smart Contract operation

 

[The Jeonramhoejang Insight]

 

Many observers focus solely on the performance of LLMs (Large Language Models) when discussing AI Agents. However, the "real business" is completed only when an Agent verifies the facts (Chainlink) and executes the settlement (Ethereum) based on those facts.

These assets are the "Eyes" and "Heart" of the Agent economy. As data flows, the demand for LINK rises; as transactions are finalized, the scarcity of ETH increases. All infrastructure analysis is now complete. In our final chapter, we will synthesize these pieces into a concrete investment strategy to close out this series!

 

 

 

 

5. The Investment Thesis – Why 'AI Crypto' is in Its Early Days

The calm before the storm: Why you need to get on board now.

"The calm before the storm: Why you need to get on board with this infrastructure now."

Throughout this series, we’ve traced the birth of "Digital Workers" (AI Agents), their inevitable pursuit of financial independence, and the essential infrastructure—the "roads" and "fuel"—that keeps them running.

While most investors still frame AI purely through the lens of "technological innovation," we have redefined AI as a massive "Economic Entity" and a "Productivity Engine." As we conclude this series, here is the investment thesis for why AI Crypto is the most critical opportunity of the decade.

 

① The Definition of 'Labor' is Changing

In the past, digital services functioned only when a human clicked a button. Now, AI Agents produce value autonomously, around the clock. The assets we’ve highlighted—FET, NEAR, RNDR, LINK, etc.—act as "Digital Landlords." Just like a toll booth on a highway, they collect fees every time these machines perform work. As AI grows more intelligent, the ownership of these digital toll roads will become increasingly scarce and valuable.

② Infrastructure Never Betrays

History proves that in every revolution, the wealth is captured by those who build the foundational infrastructure. The people who sold shovels and paved roads to the gold mines made more stable wealth than the gold miners themselves. These AI-Crypto assets are the "roads" and "shovels" of the AI revolution. No matter what AI service emerges, the economy will inevitably be forced to use this infrastructure to process payments and verify data. This architecture is rapidly becoming the standard.

③ It is the Calm Before the Storm

The era where AI Agents fully automate professional workflows is still just beginning. The broader market remains distracted by the flashy allure of simple chatbots, significantly undervaluing the "Machine Economy Infrastructure" growing quietly in the background. Current market prices are still incredibly cheap relative to the technological potential. This moment—before this infrastructure becomes the ubiquitous global standard—is precisely why we must act now.

 

[The Jeonramhoejang Message]

 

Dear readers, investing is not merely an act of seeking profit. It is an act of reading the tide of the era and betting on the language that the architects of that era will speak.

 

Five years from now, our Agents will autonomously open their wallets to book flights, lease cloud servers, and purchase data. If your portfolio is positioned to support the economic activities of these machines, your wealth will grow at the same velocity as the work these machines perform.

 

In an era where machines earn their own money, will you be a passive spectator, or will you be a "Shareholder" of that economy?

 

Thank you for joining me on this long journey. I will continue to be the first to capture the shifts in this vast digital economy and share my sharpest insights with you. If this series has provided you with value, please follow and subscribe for future updates.

 

[Series Roadmap for Deep Learning]

• [Part 1] AI Agents and Digital Workers: From the Age of Knowledge to the Age of Action
• [Part 2] Why do AI Agents Need Crypto? Machine-to-Machine (M2M) Payments and the x402 Protocol
• [Part 3] The Investment Thesis: The 3 Core Pillars Sustaining the AI Agent Economy

 

 

[Deep Dive]

To gain a deeper understanding of macroeconomics, crypto, and institutional changes within the asset market, I highly recommend reviewing the analysis materials I have previously written.

 

The Global Index Bible: Mastering Market Trends and Asset Allocation (2026-27 Edition)

The Global Index Bible: Mastering Market Trends and Asset Allocation (2026-27 Edition)

 

 

Bitcoin : The 'Digital Nuclear Weapon' - From the 1971 Nixon Shock to the Global Mining Arms Race

Bitcoin : The 'Digital Nuclear Weapon' - From the 1971 Nixon Shock to the Global Mining Arms Race

 

 

The Fuel of the AI Economy : Why XRP, XLM, and QNT Are Positioned for a Multi-Trillion Dollar Revaluation

The Fuel of the AI Economy : Why XRP, XLM, and QNT Are Positioned for a Multi-Trillion Dollar Revaluation