AI coins
1,634 coins #28| | Coins | | | ||
|---|---|---|---|---|---|
| | |||||
| | 1 | | $ | -4.57% | |
| | 2 | | $ | -7.37% | |
| | 3 | | $ | -2.83% | |
| | 4 | | $ | -4.21% | |
| | 5 | | $ | -4.87% | |
| | 6 | | $ | -4.43% | |
| | 7 | | $ | -2.86% | |
| | 8 | | $ | -5.11% | |
| | 9 | | $ | -2.70% | |
| | 10 | | $ | -3.19% | |
| | 11 | | $ | -4.94% | |
| | 12 | | $ | -1.60% | |
| | 13 | | $ | +3.25% | |
| | 14 | | $ | -0.21% | |
| | 15 | | $ | +7.34% | |
| | 16 | | $ | -0.45% | |
| | 17 | | $ | -6.28% | |
| | 18 | | $ | -0.85% | |
| | 19 | | $ | -22.00% | |
| | 20 | | $ | -2.55% | |
| | 21 | | $ | -3.29% | |
| | 22 | | $ | +0.93% | |
| | 23 | | $ | -2.22% | |
| | 24 | | $ | -3.86% | |
| | 25 | | $ | +1.24% | |
| | 26 | | $ | +5.67% | |
| | 27 | | $ | -1.15% | |
| | 28 | | $ | +7.16% | |
| | 29 | | $ | +4.53% | |
| | 30 | | $ | +8.57% | |
| | 31 | | $ | -2.12% | |
| | 32 | | $ | -0.42% | |
| | 33 | | $ | -4.23% | |
| | 34 | | $ | -2.46% | |
| | 35 | | $ | +13.39% | |
| | 36 | | $ | -3.18% | |
| | 37 | | $ | +6.42% | |
| | 38 | | $ | -3.27% | |
| | 39 | | $ | -2.80% | |
| | 40 | | $ | -9.77% | |
| | 41 | | $ | +6.05% | |
| | 42 | | $ | -9.28% | |
| | 43 | | $ | +10.90% | |
| | 44 | | $ | -4.39% | |
| | 45 | | $ | -4.01% | |
| | 46 | | $ | -3.45% | |
| | 47 | | $ | +0.33% | |
| | 48 | | $ | -23.33% | |
| | 49 | | $ | -0.26% | |
| | 50 | | $ | -4.18% | |
Trending AI coins
| Coins | Price | 24h | |
|---|---|---|---|
| | | $ | -5.11% |
| | | $ | -4.10% |
| | | $ | -0.45% |
| | | $ | -4.87% |
| | | $ | -3.80% |
Top gainers
| Coins | | | |||
|---|---|---|---|---|---|
| | | $ | +18.46% | ||
| | | $ | +13.39% | ||
| | | $ | +11.32% | ||
| | | $ | +10.90% | ||
| | | $ | +10.03% | ||
| All gainers | |||||
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.