NEAR’s AI staking powers confidential agents and real-world apps

NEAR Protocol’s innovative staking-powered AI inference model transforms token staking yields into a direct funding mechanism for confidential and verifiable AI compute on the NEAR AI Cloud. As cofounder Illia Polosukhin explains, staking a NEAR token can effectively 'keep an AI agent thinking,' with the yield generated from staking paying for privacy-focused AI workloads. This integration elevates token utility beyond traditional rewards by linking it to autonomous AI agents operating within a unified economy that includes components like IronClaw and Intents.

To ensure trustworthiness in critical applications, especially those involving financial transactions, NEAR mandates cryptographic proofs for AI outputs. This layer of verifiability addresses the high stakes of AI decision-making by guaranteeing that results are both confidential and provably accurate, reinforcing user confidence in autonomous AI agents. As highlighted repeatedly by Illia Polosukhin, 'AI outputs may need cryptographic proof when money is at stake,' underscoring the protocol’s commitment to secure, accountable AI inference.

The NEAR AI Cloud leverages blockchain cryptographic primitives alongside trusted execution environments to deliver end-to-end confidential AI inference, ensuring that neither user queries nor AI responses are accessible to third parties. By stripping away external censorship layers common in centralized AI providers like OpenAI and Anthropic, NEAR offers users unfiltered access to open-weight AI models, fostering a censorship-resistant environment. Furthermore, the platform’s roadmap includes support for user-uploaded custom AI models, promising even greater flexibility and community-driven innovation in confidential AI compute.

NEAR Protocol has innovatively transformed its staking mechanism into a direct gateway for accessing AI compute resources, where the amount of NEAR tokens staked proportionally determines a user’s AI inference capacity. This staking-powered model effectively turns yield generation into a payment method for GPU-powered AI compute, enabling holders to leverage their tokens as a form of universal basic AI access. As Illia Polosukhin explains, staking more NEAR tokens translates to higher inference availability, creating a subscription-like tiered access that aligns token economics tightly with compute consumption.

The NEAR AI Cloud currently seeds its decentralized GPU compute marketplace with proprietary GPU clusters but is actively onboarding third-party providers who must verify their hardware and uphold confidentiality standards. These providers are economically incentivized through NEAR emissions linked to staking and inference performed, fostering a liquid global market for GPU resources. This marketplace, abstracted through the Intense protocol, allows buyers to specify approximate compute needs, enabling flexible negotiation and verifiable, non-custodial settlement of GPU compute across a distributed network—a breakthrough addressing the traditionally opaque and contract-heavy AI compute market.

NEAR’s tokenomics intricately weave staking yields with transaction fee revenue from the AI compute marketplace, channeling a significant portion—between 20% and 50%—of NEAR emissions back into buybacks and token burning. This mechanism not only sustains the protocol’s economic health but also creates a yield-based revenue model that matures beyond direct payments, reinforcing liquidity and incentivizing participation in the AI ecosystem. By integrating verifiability and confidentiality, NEAR ensures that compute providers maintain hardware availability without accessing user data, thereby securing trust and enabling new financial instruments within this emerging decentralized compute economy.

The NEAR AI economy represents a vertically integrated system combining the NEAR AI Cloud, IronClaw, Intents, and the NEAR token to support autonomous AI agents and real-world asset integration. This stack facilitates secure multi-tenant agentic experiences while aligning economic incentives through token staking and decentralized compute allocation. Crucially, cryptographic proof of AI outputs is embedded to ensure verifiable AI inference, a necessity when financial stakes are involved, thereby elevating trust and reliability in the decentralized AI compute marketplace and setting a new standard for blockchain-enabled AI infrastructure.

NEAR Protocol is at the forefront of an agentic-first API revolution, designing its platform to serve autonomous AI agents as primary users rather than humans. This visionary approach enables always-on AI agents with distinct purposes—operating 24/7 thanks to blockchain’s guaranteed uptime and staking mechanisms that sustain continuous inference. These agents can autonomously manage finances, execute complex real-world tasks like supply chain logistics or scientific research, and evolve through token-holder governance, effectively creating self-sustaining autonomous businesses that blur the line between software and enterprise.

NEAR’s AI Cloud is driving real-world adoption of privacy-focused AI through strategic integrations with major consumer platforms such as the Brave browser, which boasts over 100 million users. By leveraging a hub-and-spoke model, NEAR delivers white-labeled AI inference that prioritizes user sovereignty and privacy, aligning with Brave’s ethos of protecting users rather than enabling ads. Partnerships extend beyond browsers into sensitive financial and government sectors, including the Government of Bermuda’s use of NEAR AI Cloud for confidential pension assistance and Abound’s remittance services offering AI-powered concierge support for cross-border payments, highlighting NEAR’s commitment to privacy and verifiability in critical applications.

NEAR’s blockchain architecture uniquely supports AI-driven decision-making by allowing smart contracts to pause and await verifiable AI inference results before proceeding, a feature crucial for real-world use cases like insurance settlements. This integration empowers autonomous agents to interact, hire one another, and operate fully on-chain with cryptographic proof of AI outputs, ensuring trust and transparency when financial transactions are involved. The NEAR token underpins this ecosystem as a sovereign security layer and utility token, facilitating identity, settlement, and coordination among AI agents, thereby establishing a robust foundation for a staking-powered, confidential, and verifiable AI compute marketplace.

NEAR’s developer-first design philosophy is evident in its seamless integration with popular wallets like Ledger, Trust, and MetaMask, alongside direct product offerings such as Ironclaw—an autonomous agent capable of handling private financial and legal tasks. This approach not only enhances developer accessibility but also ensures that autonomous AI agents can operate securely across diverse real-world applications, including payments infrastructure that bridges crypto and fiat currencies. By fostering an ecosystem that supports continuous AI operation, real-world commerce, and privacy-centric user experiences, NEAR is positioning itself as a pivotal platform for the emerging agentic economy.

NEAR Protocol’s ecosystem expansion is significantly bolstered by complementary technologies such as Intense and Venice, which enhance cross-chain transaction routing and confidential compute capabilities. Intense innovates beyond traditional AMM models by enabling distributed transaction routing through competing solvers, facilitating seamless swaps between assets like Zcash and Bitcoin, while Venice adds a robust confidential compute layer with trusted execution environments and cryptographic attestation to ensure data privacy. This synergy, combined with NEAR’s proven five-year uptime and multi-ecosystem accessibility—including Bitcoin, Ethereum, Zcash, and Solana—positions NEAR as one of the fastest, cheapest, and most reliable gateways in crypto infrastructure, driving adoption even amid bearish market conditions.

Nebius is rapidly scaling its AI inference capabilities through its Token Factory platform, which optimizes GPU orchestration to improve workload efficiency by 20-25%, allowing customers not to cut back but to expand their AI compute usage. This efficiency gain lowers the cost per unit of AI intelligence, unlocking new, previously uneconomical use cases across verticals such as financial services, e-commerce, and healthcare, with marquee clients like Revolut, Mastercard, and Shopify. By integrating cutting-edge open-source models like Kimi K3 and GLM-5.2 at launch and achieving full accuracy parity with industry-leading speed, Nebius demonstrates leadership in deploying and optimizing advanced AI models.

Nebius’s strategic focus on supporting the full AI workload lifecycle—encompassing both training and inference—on a unified platform enables superior compute utilization and cost efficiency, addressing the growing convergence of these phases driven by reinforcement learning rollouts and synthetic data generation. This comprehensive approach is complemented by enterprise-grade enhancements such as Nebius Echo for natural-language infrastructure control, customer-managed encryption keys, and FinOps budgeting, positioning the platform as a robust solution for regulated and complex AI deployments. Additionally, ecosystem growth is fueled by integrations with teams from Eigen AI and Clarifai, a developer community surge from 1 million to 2.5 million, and initiatives like the Customer Advisory Board with partners including Cloudflare, underscoring Nebius’s expanding market reach and adoption momentum.