Discover the best airdrops in this category across all blockchains. Updated daily with new opportunities.
AI-focused crypto projects integrate artificial intelligence with blockchain technology. Early users of these protocols may qualify for airdrops.
11 active AI airdrops
Bynai is a decentralized exchange platform that aims to enable AI-powered automated trading for users. The project is currently in development, with plans for a Testnet, Mainnet, and a later token generation event. Bynai features a non-custodial setup where users maintain control of their private keys. The platform is offering a Genesis Season with a $1,000,000 reward pool to incentivize early participation during the pre-alpha stage.
dFusion AI is a protocol built around an open knowledge graph for the Agentic Web. Contributors submit knowledge, which is filtered and validated by the system. Accepted information becomes part of a shared layer designed for AI systems, enterprise workflows, and AI agents. The protocol includes Vericore, which runs on Bittensor Subnet 70 as a semantic fact-checking layer, and the Social Truth DLP on Vana, which turns Telegram data into a community-owned dataset. Aethir supports the GPU compute layer across the subnet stack. The dFusion testnet is live and serves as the main public route into
Kled AI is a mobile data marketplace that pays people to upload files and photos that can be used to train AI models. Developers and businesses pay for this data to make AI systems better, and Kled gives some of that money back to the people who contributed it. The platform claims to be the first marketplace where consumers can get large, licensable multimodal datasets directly. The app has become very popular very quickly, with millions of daily uploads and a top-100 ranking in the App Store in many countries. The project has raised a total of $9 million, including a $5.5 million seed round in March 2026. Sebastian Thrun (founder of Waymo), Aglaé Ventures (Bernard Arnault’s fund), K5 Global, and others have all backed it.
AI Arena is a project exploring the concept of players training AI-powered fighters and deploying them into automated battles on the Arbitrum blockchain. The platform introduces a competitive environment where fighters learn from player input through imitation learning and gradually improve their combat behavior over time. AI Arena is developed by ArenaX Labs and operated by the CortX Foundation, with backing from Paradigm, Framework Ventures, and SevenX Ventures. The $NRN token is central to the ecosystem, powering rewards, staking, and competitive incentives.
Beep is an AI-powered financial platform built on the Sui blockchain. It has two main modules: AI Trading, where users create AI-powered trading agents to execute strategies across selected markets, and AI Treasury, where users deposit assets into Agentic Yield for dynamic capital allocation across various yield-generating opportunities. Beep has raised $4.5 million in seed funding from investors.
Fabric Protocol is a blockchain-based protocol designed to provide infrastructure for coordinating and governing autonomous systems, including robots, AI agents, and machine networks. The protocol features on-chain identity, task execution, economic settlement, and governance mechanisms for autonomous agents, with the native $ROBO token serving as the utility and governance token. Fabric is overseen by the Fabric Foundation, a non-profit organization focused on developing open infrastructure for autonomous machines. The protocol's core mechanism is Proof of Robotic Work, which distributes valu
DataHaven is an AI-first storage protocol built as an Autonomous Verifiable Service (AVS) on Ethereum, secured through EigenLayer restaking. The protocol targets AI agents, DeFi protocols, real-world asset (RWA) platforms, and DePIN applications that require tamper-proof, auditable data storage. Key features include end-to-end encryption, immutability, pay-for-use pricing, and censorship-resistant data environments — giving users full ownership and verifiability over their stored data. DataHaven’s testnet is currently live, with mainnet and TGE both expected in Q1 2026. No external funding has been publicly disclosed, though its EigenLayer partnership provides meaningful credibility within the restaking ecosystem.
Nexus Labs is a technology company based in San Francisco that is building a Layer 1 blockchain with a zero-knowledge virtual machine. The blockchain is designed to allow computation results to be independently verified without re-executing the program or relying on trust assumptions. Nexus Labs raised $25 million in a Series A round co-led by Lightspeed Venture Partners and Pantera Capital, with participation from Dragonfly Capital, Faction, and Blockchain Founders Fund.
Axis AI is building a platform for robotic learning that uses large-scale simulation and human guidance. The platform allows people to directly interact with simulated robots, generating training data for robotics models that can adapt across tasks and environments. Axis AI is using crypto-native incentives to reward contributors for their participation in simulation tasks. The company has raised $15 million in seed funding and is developing its platform on the Ethereum and Avalanche blockchains.
Mahojin is an AI workflow platform that enables community-powered remixing of images and videos. The company has raised a $5M seed round led by a16z crypto's CSX, with participation from Maelstrom Fund. Mahojin is built on Story Protocol, a blockchain for programmable intellectual property, allowing AI workflows to function as on-chain IP with features for refinement, reuse, and sharing.
AI-powered blockchain interaction simplified on BSC with $GLORY governance token
AI-crypto projects are one of the hottest sectors, combining two major tech narratives. Projects like Bittensor, Render Network, and IO.net reward users for providing compute, training models, or using AI services. The farming angle: provide GPU compute if you have hardware, use AI-powered dapps, and stake AI tokens. This sector is still early, which means more upcoming token launches and airdrops.
For compute-providing protocols, yes — a decent GPU helps. But many AI projects also reward regular users who interact with their AI services, test models, or provide training data, no GPU required.
The space ranges from genuinely innovative to pure hype. Look for projects with working products, real compute networks, and verifiable usage metrics. Be skeptical of projects that just slap "AI" on a standard DeFi protocol.
Look for AI projects with large compute networks, VC backing, and growing usage that haven't launched tokens yet. Decentralized AI training and inference networks are the most likely to do significant airdrops.
This content is for informational purposes only and does not constitute financial advice. Always do your own research (DYOR) before participating in any airdrop or DeFi protocol.
