Written by: Wyatt Lonergan, 0xlaguna
Compiled by: AididiaoJP, Foresight News
The dominant economic entities of the future will not be traditional companies, but software systems that operate autonomously 24/7, continuously create value, and grow with compound interest. These systems require minimal human intervention, are more enduring than their creators, and more efficient. We call these systems "Money Machines".
We are witnessing the largest infrastructure upgrade in the history of the internet. This upgrade is driven by the convergence of two major technological trends: blockchain and artificial intelligence.
The internet made information programmable, blockchain made value programmable, and now AI is making decisions programmable.
Previous industrial revolutions unlocked new modes of production—assembly lines scaled manufacturing, the printing press scaled knowledge, email scaled communication. Stablecoins, tokenized assets, and autonomous agents are unlocking the next dimension: they will become the infrastructure of the new internet financial system. In this system, the operation of autonomous capital will amplify human potential on an unprecedented scale.
The dominant economic entities of the future will no longer be traditional companies, but software systems that can operate autonomously 24/7, continuously create value, and grow with compound interest. These systems require minimal human intervention, are more enduring than their creators, and more efficient.
We call these systems "Money Machines".
Observing how people use @openclaw every day, it's easy to realize we are in the midst of a new industrial revolution. Now any individual or business can build autonomous agents with clear goals and run them on everyday devices.
This means any great idea—no matter how grand—can now be programmed into reality. When we see early agentic companies starting to generate revenue online, the scale of possibilities is unprecedented, and this is happening in real-time.
The reason is: until recently, economic activity always required human participation. A transaction required the presence of a buyer and a seller—at least a phone call. Capital sat idle at night, markets and banks closed on weekends. Expertise was locked within individuals, whose working hours were limited. Companies emerged to solve these problems—to allow capital to outlive its owners and exceed the capabilities of individuals. But even companies have their limitations.
Money Machines will give humans and businesses unprecedented scale. Agents don't sleep, are not bound by geography, and don't need payroll accounts. They can operate across time zones, serve thousands of customers simultaneously, and make autonomous decisions 24/7. They can negotiate, execute, and settle at a global scale in milliseconds.
The bottleneck was never knowledge itself, but the people or businesses in which it was trapped. Soon, Money Machines will become the basic unit of economic organization, just as having an army of agents will become standard for founders.
The relevant infrastructure is being built in real-time: development frameworks like @OpenClaw, stablecoins like @USDC and @withAUSD, wallets like @privy, blockchains like @arc, @solana, @tempo, and @base, on-chain financial protocols like @aave and @Morpho, and identity systems that enable agents to participate in economic activities as principals. These are precisely the areas we hope to invest in.
The fusion of the internet and finance has been brewing for thirty years, and Money Machines are the final product of this fusion.
Startup Directions
01 · Agent Equity & Investment Banking
The agent economy already runs on tokens. As agents continuously discover new opportunities, how can we identify, price, distribute these opportunities in a scalable way and make them transparent to capital? We need infrastructure capable of capitalizing agent businesses—such as fractional ownership of productive AI systems, revenue-sharing tokens, on-chain agent DAOs (this is the true vision of DAOs)—transforming Money Machines into investable, tradable assets. If agents become the dominant economic entities, then agent ownership will become one of the most important asset classes in history.
Reference Project: @legiondotcc
02 · Compute Exchange & Marketplace
As the number of agents explodes, compute power will become a commodity that needs to be efficiently priced, traded, and allocated. We need financial infrastructure for GPU capacity (like spot markets, futures, options), standardizing compute as the raw material of the agent economy, enabling functions like risk transfer and redeemability.
Reference Projects: @OrnnExchange, Silicon Data, Computer Exchange, Pluto Trade, @computeindex
03 · Liquidity Operating System
The problem of cross-border fund transfers has been solved, but the last-mile conversion remains a bottleneck. In regions like Nigeria, Kenya, Mexico, payment providers commonly face USD liquidity shortages—the process of settling stablecoins into local fiat is slow, manual, and costly. As agents and smart contracts begin to route payments automatically at a global scale, this bottleneck will become the ceiling for the entire agent economy's growth. There's an opportunity to build a programmable short-term liquidity infrastructure, directly integrated into the payment flow, underwriting the invisible risks that traditional finance struggles to reach.
04 · Agent Service Marketplace
Think Craigslist for agents. A marketplace platform where individuals and businesses can deploy their expertise as monetizable agent services (e.g., legal advice, research analysis, financial modeling, creative production) for hire by other agents or humans. Reputation mechanisms are built into the protocol. This will democratize entrepreneurship at scale.
Reference Project: @crunchDAO
05 · Agent Identity & Reputation System
Trust is the foundation of commerce. To enable transactions between agents and agents, and agents and humans, there must be a verifiable, persistent identity layer. We are looking for decentralized identity and reputation credentials designed for AI agents: verifiable track records, authorization scopes, proof of behavior, and trust scores accumulated on-chain over time.
06 · Yield as an API
Yield still follows bank hours. It requires brokerage accounts, wire transfers, T+1 or T+2 settlement cycles. This model wasn't designed for software, and software is about to become the world's largest capital allocator. Enterprises and agents entering the token economy need access to yield—not during business hours, not through brokerage accounts, but as a programmable API call available 24/7.
Reference Projects: Yield.xyz, @superformxyz
07 · Credit Infrastructure
Agents need credit to facilitate trades, access working capital, and operate at scale. But agents are not legal entities. There's an opportunity to build new credit primitives based on stablecoins, smart contracts, and card infrastructure, extending funds to cards and wallets controlled by agents, equipped with programmable repayment and risk controls that don't require human co-signing.
08 · Compliance Infrastructure for Tokenized Securities
The tokenization of stocks, bonds, and funds is happening. What's missing is the compliance layer (e.g., KYC/AML, transfer restrictions, investor verification, reporting, and regulatory interoperability) that allows tokenized securities to flow at blockchain speed without violating securities laws. When agents start autonomously managing portfolios, executing trades, and allocating capital, compliant tokenized securities will become the asset layer they need to operate, without human brokers in the middle.
Reference Projects: @DinariGlobal, @0xPredicate
09 · Agent Payment Authorization & Spending Controls
Agents need autonomy in payments, but humans need guardrails or a programmable authorization layer—such as spending limits for cards and wallets, whitelists for counterparties, multi-signature approvals—placed between the agent's intent and the transaction execution. This is like reimagining corporate spend management, built specifically for non-human entities operating on card and stablecoin rails.
Reference Projects: @sponge_wallet, @privy
10 · Stablecoin Treasury & Cash Management
As stablecoins become the global default settlement layer, all types of enterprises, from startups to multinationals, will need treasury infrastructure to manage stablecoin and fiat assets: yield optimization, FX conversion, payroll, supplier payments, regulatory reporting. Agents will exponentially enhance the effectiveness of this infrastructure—automatically balancing treasuries, routing payments to the most economical channels, completing reports without a finance team. This is a CFO toolkit rebuilt for the agent era.
11 · Cross-Chain Settlement & Interoperability for Agents
Agents don't care which chain they are on. They care about cost, speed, and finality, but liquidity is fragmented. An abstraction layer could provide agents with chain-agnostic execution capabilities: routing to the optimal venue, settling on the optimal chain, without the agent (or its human operator) needing to manage bridges, wrapped assets, or gas tokens.
Reference Projects: @LayerZero_Core, @ubyx
12 · Data Monetization & Provenance Networks
Agents need to consume vast amounts of data (e.g., market data feeds, proprietary research, behavioral signals). We need infrastructure that allows data producers to monetize access programmatically, with on-chain provenance, usage tracking, and micro-payment settlement. For example, a decentralized data marketplace where agents are the buyers and human experts are the sellers.
