The next wave of crypto adoption won't come from retail speculators buying tokens on exchanges, but from a global workforce earning them through "Internet Labor Markets" (ILMs). By shifting the entry point from capital-intensive buying to labor-intensive earning, Multicoin Capital argues that decentralized networks can coordinate human effort at a scale traditional payroll systems can't touch.
Why is the "Earn-in" Model Replacing Speculation?
For the better part of a decade, crypto onboarding has been a friction-heavy funnel: open an account, pass KYC, bridge fiat, and buy a volatile asset. Multicoin Capital posits that this model has hit a ceiling. Instead, the future of onboarding lies in utility-driven participation where users are paid in crypto for performing specific, verifiable tasks.
This isn't just about passive yield or staking—it is about active contribution. According to Multicoin, the primary driver for mass adoption will be systems that allow a global, permissionless workforce to contribute bandwidth, data labeling, or real-world intelligence in exchange for immediate, on-chain compensation.
How do Internet Labor Markets (ILMs) work?
At their core, ILMs utilize blockchain rails to solve the "payment friction" problem inherent in traditional global labor. Traditional employment requires invoices, bank intermediaries, and 30-to-90-day payment cycles. ILMs replace this with deterministic, smart-contract-based payouts.
| Feature | Traditional Labor Market | Internet Labor Markets (ILMs) |
|---|---|---|
| Verification | Manual/Managerial | Cryptographic/Deterministic |
| Settlement | Days/Weeks (ACH/SWIFT) | Instant (On-chain) |
| Access | Geo-restricted/KYC | Global/Permissionless |
| Incentive | Fiat Salary | Native Protocol Tokens |
Is AI the real catalyst for this shift?
While DePIN (Decentralized Physical Infrastructure Networks) laid the groundwork by rewarding users for hardware contributions, the next phase focuses on human judgment. As AI models become more prevalent, the demand for high-quality, human-verified data is skyrocketing.
Projects like Grass are already demonstrating this by allowing users to monetize unused bandwidth for AI data scraping. Multicoin anticipates that the next evolution will involve humans acting as the "quality control" layer for AI, performing tasks that require nuance, ethical judgment, and complex verification—tasks that AI cannot yet automate effectively. By integrating these tasks into or similar high-throughput chains, the cost of coordinating this labor drops to near zero.