Coinranking
AI coins
1,976 coins #27 Page 40| | Coins | | | ||
|---|---|---|---|---|---|
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| The coins below are ranked lower due to missing data. Learn more | |||||
| | 2K |  ideaAI ideaAI | $ | -2.07%  | |
| | 2K |  Synergix SYNERGIX | $ | -23.54%  | |
| | 2K |  Moonshift MNSHFT | $ | --%  | |
| | 2K |  Theodore Shellington 01 | $ | -16.50%  | |
| | 2K |  DROPTAIL AI DROPT | $ | --%  | |
| | 2K |  UnitexAI Agent UxAI | $ | -7.81%  | |
| | 2K |  Novaex AI NEX | $ | -5.81%  | |
| | 2K |  AEROTYNE AERO | $ | --%  | |
| | 2K |  rootAI ROOTAI | $ | -14.61%  | |
| | 2K |  1claw AI 1claw | $ | --%  | |
| | 2K |  Nesa NES | $ | --%  | |
| | 2K |  Wake WAKE | $ | +0.48%  | |
| | 2K |  Tick Market TICK | $ | -38.05%  | |
| | 2K |  SynapRoot SYRT | $ | -32.93%  | |
| | 2K |  royalCode rCODE | $ | -5.40%  | |
| | 2K |  AIVO AIVO | $ | -12.76%  | |
| | 2K |  Dot DOT | $ | --%  | |
| | 2K |  CapIX Protocol CPX | $ | -16.00%  | |
| | 2K |  Excubia Labs SHUSH | $ | -7.79%  | |
| | 2K |  Atelier ATELIER | $ | -10.81%  | |
| | 2K |  Inferra INFERRA | $ | +3.45%  | |
| | 2K |  SAA-AI DRPAL | $ | --%  | |
| | 2K |  Ante Games ANTE | $ | -24.46%  | |
| | 2K |  Aethryxis AI ATHX | $ | +63.85%  | |
| | 2K |  Berry Finance BERRY | $ | --%  | |
| | 2K |  Elisym LSM | $ | -36.64%  | |
Trending AI coins
| Coins | Live Price | 24h | |
|---|---|---|---|
| |  Artificial Superintelligence Alliance FET | $ | -3.38%  |
| |  PlatON LAT | $ | -11.17%  |
| |  IO IO | $ | -1.86%  |
| |  TARS AI TAI | $ | -4.70%  |
| |  Cookie COOKIE | $ | -6.09%  |
Top Gainers
| Coins | | | |||
|---|---|---|---|---|---|
| |  Verona VERONA | $ | +30.34%  | ||
| |  HeyAnon ANON | $ | +29.01%  | ||
| |  Nesa NES | $ | +20.31%  | ||
| |  DuckChain DUCK | $ | +17.36%  | ||
| |  iMe Lab LIME | $ | +14.66%  | ||
| All Gainers | |||||
Market Cap
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What is an AI token?
AI tokens are cryptocurrencies that embed artificial-intelligence models, data sets, or services into their core logic.
They power decentralized marketplaces for models, generative-media engines, predictive agents, and on-chain data analytics while using the token for payments, governance, or access rights.
ChatGPT’s late-2022 breakout—and Microsoft’s $10 B OpenAI round—sparked a 75 %-plus rally in early AI tokens, pushing the sector’s market cap past $1.6 B in February 2023.
Quick Facts
- Purpose: Pay for AI inference, training data, agent services; govern AI protocols.
- Utility: Buy GPU compute, query generative models, vote on model upgrades, stake for data quality.
- Chains/Platforms: Ethereum, BSC, Cardano, Fetch.ai native, Ocean Protocol, SingularityNET.
- Pricing: Market-driven; hype cycles tied to AI breakthrough headlines.
- Supply: Usually capped; inflation via mining/mentoring rewards (FET, AGIX).
Top AI Tokens (Live Examples)
| Token | Ticker | AI Focus | 2024 Utility Highlights |
|---|---|---|---|
| SingularityNET | AGIX | Decentralized AI marketplace | Buy/sell models, staking for API calls. |
| Fetch.ai | FET | Autonomous economic agents | Deploy IoT bots, pay for data feeds. |
| Ocean Protocol | OCEAN | Data marketplace | Monetise datasets for model training. |
| Numerai | NMR | AI hedge-fund signals | Stake predictions, earn for accuracy. |
| Alethea AI | ALI | Generative AI & NFTs | Create CharacterGPT NPCs, upgrade NFTs. |
| Cortex | CTXC | On-chain AI inference | Upload AI models to smart contracts. |
How It Works
- Protocol mints token → used as medium of exchange for AI services.
- Developers/Providers stake tokens to list models or datasets.
- Users pay per query (text, image, prediction) in the native token.
- Decentralised GPU or data miners earn tokens for supplying resources.
- Governance votes decide which models or data sources are whitelisted.
Benefits
- Cheaper inference – permissionless competition drives down API costs.
- Censorship resistance – no single entity can de-platform a model.
- Data privacy – federated learning + zk-proofs keep datasets local.
- Tokenised incentives – high-quality data and models are rewarded automatically.
- Composable AI – smart contracts can call AI outputs on-chain (e.g., insurance pricing).
Risks & Limitations
- Compute fraud – malicious nodes may return dummy results; needs reputation or slashing.
- Data quality – poisoned datasets can degrade model accuracy.
- Regulatory grey zone – AI output may be deemed advice or securities signal.
- Token volatility – price swings make enterprise budgeting hard.
- Scalability – on-chain inference is still 10-100× slower than centralised clouds.
- Hype cycles – valuations often detach from actual AI usage metrics.
Final Thoughts
AI tokens sit at the intersection of two exponential trends—large-language-model breakthroughs and open DeFi rails.
They promise democratised access to cutting-edge intelligence, but today most revenue is still speculative.
Trade the narrative, stake for real services, and verify on-chain model usage before aping.