33 stories mentioning it. Newest first.
Monad pitches an EVM-compatible high-throughput L1 for AI agents. Here is what the token mechanics, allocation, and narrative actually imply for traders.
If signed, it would mark Meta's first major move to monetize its GPU build-out by renting capacity to a frontier model lab, and the largest such hyperscaler-to-AI-lab lease on record.
Solana leads AI-token liquidity today, SUI wins on parallel-execution throughput, and Aptos pitches Move-based safety. The chain matters less than the protocol's traction and revenue.
InfoFi turns online attention into AI-scored tokens and leaderboards. KAITO, Cookie.fun, and Snaps show how the category works and where the hype hides.
Most AI-themed tokens ship no AI. A clean three-bucket framework (utility, governance, meme) helps you tell working products from wrappers and wrappers from jokes.
The Real Vision founder's $2.7T-to-$100T call and 'apex intelligence' framing treat AI and blockchain as one infrastructure layer — with tokenization as the ownership rail.
DePIN tokens back real hardware networks like Filecoin and Render. AI tokens like TAO and VIRTUAL fund software models with no physical layer. The economics diverge sharply.
Four categories explain every AI-token launch in 2025. Learn the honest tests that separate real infrastructure tokens from memecoins wearing AI branding.
HYPE is a perp-DEX token, TAO is decentralized-AI infrastructure, and VIRTUAL is an AI-agent launchpad. They share an AI label, not a thesis.
FET runs agents, RENDER rents GPUs, TAO pays subnets. They share a thesis but not a business model. Here is how each token actually makes money.
AI tokens aren't all structured the same. TAO, VIRTUAL, FET, VVV, and RENDER share a label but hide very different supply, unlock, and fee-capture designs.
Solana leads on launchpad gravity, Sui wins on parallel execution, Aptos lags in volume. Here is where each chain actually fits AI tokens.
KAITO is the InfoFi token behind Kaito AI, with 1 billion supply and roughly 20% circulating at launch. Here is how attention, Yap leaderboards, and unlocks actually work.
Polygon is an Ethereum scaling ecosystem with multiple chains and a single native token, POL (which replaced MATIC). Here is how it works and what to weigh.
Three tokens share the 'decentralized AI' label but solve different problems. Here's what real revenue, user counts, and token unlocks reveal about each.
Not every AI token rides the same trade. Agent coordination, decentralized training, and compute networks are three separate bets, and most of the pumps sit in the riskiest bucket.
Sui is a non-EVM Layer 1 using the Move language and an object-centric model. Here is how DeepBook, Cetus, NAVI, and token unlocks actually shape the chain.
Aave is one of DeFi's biggest lending protocols — a place where you can earn yield on assets or borrow against them with no bank involved. Here is how it works.
RWA oracle manipulation lets attackers mint tokens against stale or thin-window NAVs. Real post-mortems show how flash loans and weekend illiquidity drain protocols.
Most AI tokens are not AI projects. Learn the five questions that separate tokens using AI from tokens that just say AI, with on-chain checks included.
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