12 Potential Startup Opportunities in AI and Blockchain Fields

Written by: Wyatt Lonergan, 0xlaguna

Compiled by: AididiaoJP, Foresight News

The future dominant economic entities will no longer be traditional companies, but software systems capable of autonomous operation around the clock, continuously creating value, and compounding growth. These systems require minimal human intervention, are more durable than their creators, and more efficient. We call these systems “Money Machines.”

We are witnessing the largest infrastructure upgrade in internet history. This upgrade is driven by two converging technological trends: blockchain and artificial intelligence.

The internet has enabled programmable information; blockchain has enabled programmable value; now AI is making decision-making programmable.

Every industrial revolution has unlocked new modes of production—assembly lines scaled manufacturing, printing scaled knowledge, email scaled communication. Now, stablecoins, tokenized assets, and autonomous agents are unlocking the next dimension: they will become the infrastructure of a new internet financial system. In this system, autonomous capital operations will amplify human potential on an unprecedented scale.

The future dominant economic entities will no longer be traditional companies, but software systems capable of autonomous operation around the clock, continuously creating value, and compounding growth. These systems require minimal human intervention, are more durable than their creators, and more efficient. We call these systems “Money Machines.”

By observing how people use @openclaw daily, it’s clear we are in the midst of a new industrial revolution. Today, any individual or enterprise 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 realized through programming. When we see early agent-based companies start generating income online, the scale of possibilities is unprecedented, and all of this is happening in real time.

The reason is: until recently, economic activity always involved human participation. A transaction required both parties to be present—at least via phone contact. Capital was idle overnight, markets and banks closed on weekends. Expertise was locked inside individuals, whose working hours are limited. The emergence of companies was precisely to solve these issues—allowing capital to transcend the lifespan of its owners and the capabilities of individuals. But even companies have their limitations.

Money Machines will give humans and enterprises unprecedented scale effects. Agents work tirelessly, without regard to geography, without salary accounts. They can operate across time zones, serve thousands of clients, and make autonomous decisions 24/7. They can negotiate, execute, and settle transactions globally within milliseconds.

The bottleneck has never been knowledge itself, but rather knowledge trapped within people or organizations. Soon, Money Machines will become the fundamental units of economic organization—just as having a legion of agents will become standard for founders.

The related infrastructure is being built in real time: frameworks like @OpenClaw, stablecoins such as @USDC and @withAUSD, wallets like @privy, blockchains like @arc, @solana, @tempo, and @base, on-chain financial protocols like @aave and @Morpho, and identity systems enabling agents to participate in economic activities as entities. These are the directions we aim to invest in.

The integration of internet and finance has been brewing for thirty years; Money Machines are the ultimate fusion of both.

Startup Directions

01 · Agent Equity and Investment Banking

Agent economy already runs on tokens. As agents discover new opportunities, how can we scale the identification, valuation, and distribution of these opportunities transparently to capital? We need infrastructure to capitalize agent businesses—such as partial ownership of production AI systems, revenue-sharing tokens, on-chain agent DAOs (which is the true vision of DAO)—transforming Money Machines into investable, tradable assets. If agents become the dominant economic entities, ownership of these agents will be one of the most important asset classes in history.

Reference project: @legiondotcc

02 · Computing Power Exchanges and Markets

With the surge in the number of agents, computing power will become a commodity that needs effective pricing, trading, and allocation. We need financial infrastructure for GPU capacity—spot markets, futures, options—that treats computing power as raw material for the agent economy, enabling standardization, risk transfer, and redeemability.

Reference projects: @OrnnExchange, Silicon Data, Computer Exchange, Pluto Trade, @computeindex

03 · Liquidity Operating System

Cross-border fund transfers are solved, but the last mile of currency exchange remains a bottleneck. In regions like Nigeria, Kenya, and Mexico, payment providers often face dollar liquidity shortages—settling stablecoins to local fiat is slow, manual, and costly. As agents and smart contracts begin routing payments automatically on a global scale, this bottleneck will cap the development of the entire agent economy. We have the opportunity to build programmable short-term liquidity infrastructure integrated directly into payment flows, underwriting risks that traditional finance finds hard to reach.

04 · Agent Service Marketplace

Think of it as a Craigslist for agents. A marketplace platform where individuals and companies can deploy their expertise as profitable agent services (legal consulting, research analysis, financial modeling, creative production) for other agents or human clients. Built-in reputation mechanisms within protocols will democratize entrepreneurship at scale.

Reference project: @crunchDAO

05 · Agent Identity and Reputation System

Trust is the foundation of commerce. To enable transactions between agents and between agents and humans, a verifiable persistent identity layer is essential. We are exploring decentralized identities and reputation credentials designed for AI agents: verifiable performance records, scope of authorization, behavioral proofs, and on-chain trust scores accumulated over time.

06 · Yield as API

Yield still follows banking hours. It requires brokerage accounts, wire transfers, T+1 or T+2 settlement cycles. This model isn’t designed for software, yet software is about to become the world’s largest capital allocator. Companies and agents entering the token economy need to access yields—not during business hours, not via brokerage accounts, but as always-available programmable API calls.

Reference projects: Yield.xyz, @superformxyz

07 · Credit Infrastructure

Agents need credit to cycle transactions, access working capital, and scale operations. But agents are not legal entities. We have the opportunity to build new credit primitives based on stablecoins, smart contracts, and card infrastructure, extending funds to agent-controlled cards and wallets, with programmable repayment and risk management mechanisms that require no human signatures.

08 · Compliance Infrastructure for Tokenized Securities

Tokenization of stocks, bonds, and funds is underway. What’s missing is a compliance layer (KYC/AML, transfer restrictions, investor verification, reporting, and regulatory interoperability) that allows tokenized securities to flow on blockchain at the speed of securities laws. As agents begin managing portfolios, executing trades, and allocating capital autonomously, compliant tokenized securities will become the asset layer they operate on—no human broker needed in the middle.

Reference projects: @DinariGlobal, @0xPredicate

09 · Agent Payment Authorization and Spending Control

Agents need autonomous payments, but humans require safeguards or programmable authorization layers—such as spending limits on cards and wallets, whitelists for counterparties, multi-signature approvals—placed between agent intent and transaction execution. This is a reimagining of corporate expense management, built for non-human entities operating on cards and stablecoins.

Reference projects: @sponge_wallet, @privy

10 · Stablecoin Treasury and Cash Management

As stablecoins become the default settlement layer globally, all types of enterprises—from startups to multinationals—need treasury infrastructure to manage stablecoin and fiat assets: yield optimization, forex conversions, payroll, vendor payments, regulatory reporting. Agents will exponentially enhance this infrastructure—automatically balancing treasuries, routing payments through the most economical channels, and generating reports without finance teams. This is a reimagined CFO toolkit for the agent era.

11 · Cross-Chain Settlement and Interoperability for Agents

Agents don’t care which chain they operate on. They care about cost, speed, and finality, but liquidity is fragmented. An abstraction layer can provide chain-agnostic execution: routing to the optimal venue, settling on the best chain, without agents or human operators managing cross-chain bridges, asset wrapping, or gas tokens.

Reference projects: @LayerZero_Core, @ubyx

12 · Data Monetization and Traceability Network

Agents consume vast amounts of data (market data sources, proprietary research, behavioral signals). We need infrastructure that enables data producers to monetize access rights programmably, with on-chain traceability, usage tracking, and micro-payments. For example, a decentralized data marketplace where agents are buyers and human experts are sellers.