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What if money could manage itself? Autonomous finance imagines AI agents transacting on-chain without humans. Here's the vision, and the hard questions.
Outstanding data-center ABS jumped from 3% to 12% of the esoteric ABS market since 2020; the SEC's July 29 carve-out from ABS rules opens a faster track, and Barclays sees $180B by 2028.
Card rails keep the macro layer, stablecoins take the micro tier, and Visa expects hybrid agentic flows rather than a winner-take-all shift on either rail.
The world's largest asset manager frames agentic payments as the nearer-term crypto opportunity, with tokenized compute claims a longer-dated prize it pegs against a $1.1 trillion cloud market.
Mastercard has unveiled Agent Pay for Machines, a new payments framework designed to let AI agents execute autonomous…
The threat is to banks’ low-cost funding: automated cash transfers could make households more responsive to yield differences, while crypto payment rails are already serving agentic finance.
The project targets machine-to-machine commerce, where autonomous software can access digital services without a human initiating each payment.
The argument broadens crypto's adoption case beyond human payments, treating software agents as a new class of users.
A $28T agent-economy flow figure is mostly bots shuffling stablecoins — the read is that on-chain AI payments still route through centralized chokepoints, not native rails.
The feature isolates AI trading activity from a user's main account — capping leverage, withdrawals, and permissions per agent — and ships as API-only from day one.
AI agents that hold wallets and act on their own could reshape crypto — for better and worse. Here's how the idea works and why caution is warranted.
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.
Monad pitches an EVM-compatible high-throughput L1 for AI agents. Here is what the token mechanics, allocation, and narrative actually imply for traders.
Dashboards claim millions in AI-agent revenue, but most figures count internal transfers, not paying customers. Here is how to read the numbers honestly.
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.
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.
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.
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.
Aave flash loans let users borrow without collateral for one transaction. They enable useful trades but can magnify weak oracle designs.
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.
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