
NEAR: AI Agents to Operate Blockchains as Invisible Users
Context and chronology
Illia Polosukhin, co‑founder of NEAR, framed a near‑term architecture in which autonomous software agents become the dominant human proxies for online services, with blockchains serving underneath as programmable settlement and verification rails. In this layering, human involvement recedes to policy, oversight and one‑time onboarding events while agents execute workflows, route liquidity, and settle claims across permissionless ledgers. That framing treats current retail‑facing dApps and token narratives as early experiments rather than the intended operating model for distributed ledgers.
Signals from the industry
The market is already producing concrete primitives that align with Polosukhin’s thesis: Coinbase has introduced Agentic Wallets with enclave‑style guardrails and x402 payments plumbing; MoonPay released a non‑custodial Agents product that combines one‑time KYC, funding links and an agent‑bound wallet; Ethereum developers are drafting registry specifications to treat agents as first‑class on‑chain participants; and market research firms such as Grayscale flag rising interest in always‑on, programmatic payments as a signal to watch. These launches and drafts show convergence on discovery, attestation and payment rails that agents need to interoperate across chains and providers.
Practical divergences and tensions
Important design splits have already emerged. Coinbase’s approach prioritizes secure confinement, spending ceilings and continuous operator visibility; MoonPay privileges a one‑time KYC and non‑custodial handoff that gives agents greater autonomy but reduces provider visibility into subsequent activity. Public debates — exemplified by a NEARCON exchange between proponents urging rapid commercialization and skeptics demanding higher fault tolerance — expose divergent timetables and risk appetites inside the ecosystem. Those differences map directly to custody, liability and compliance choices that will shape which architectures scale quickly and which remain niche.
Immediate product and market implications
If agents become primary actors, development effort will shift toward agent APIs, delegation standards, verifiable execution environments, oracle integrity, and privacy‑preserving settlement. Providers that bundle identity, fiat rails and programmable conversion (on‑ramps/off‑ramps) stand to capture recurring economics; neutral execution layers, confidential computation vendors, and attestation marketplaces gain strategic leverage. Conversely, consumer wallet vendors, pure custodians, and token‑speculative projects may lose negotiating power unless they pivot to agent‑friendly custody models and standardized attestation interfaces.
Risks, regulation and operational constraints
Allowing agents to hold and move capital amplifies fraud, oracle, Sybil and attribution risks, and complicates AML/KYC mapping — investigators will need robust ways to tie autonomous on‑chain acts back to accountable off‑chain identities. Cross‑jurisdictional banking frictions, banks’ selective relationships with crypto firms, and unresolved legal personhood for agent actions create adoption headwinds. The timing of widespread agent adoption therefore depends not just on tooling maturity (delegation protocols, fast micropayment rails, reliable attestation) but on regulatory clarifications about liability, dispute resolution and evidence standards.
Where this leads
Taken together, Illia Polosukhin’s thesis is gaining practical momentum through product launches and standards work, but the ultimate shape of an agent‑first stack will be decided by competing custody models, standards adoption (registries, x402/ERC‑style primitives), and regulatory outcomes. The most likely near‑term winners are those that can combine compliant onboarding, low‑latency settlement rails, and strong attestation or privacy guarantees; losers will be players that cling to purely consumer‑facing UX or speculative token narratives without solving delegation and compliance economics.
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