🚨 JUST IN: Binance's stock trading platform has surpassed $1 billion in assets under management just 30 days after launch. https://t.co/89gO6Vp5TH
🚨 JUST IN: Binance's stock trading platform has surpassed $1 billion in assets under management just 30 days after launch. https://t.co/89gO6Vp5TH
July.
holidays? no, numbers.
@BNBCHAIN doesn’t stop for the summer.
- 65.2M $BNB burned so far, out of the original 200M supply.
at today’s price (~$550), that’s roughly $35.9B…
- 35 quarterly burns already completed.
- 134.79M circulating today.
- 34.79M left before hitting the 100M hard cap
the 36th burn scheduled for this month.
no pause, no slowdown, just steady deflation quarter after quarter.
BuildNBurn.
Recently, I increasingly feel that the competition among on-chain AI Agents has started shifting from "models" to "infrastructure".
In the past, everyone compared who was smarter or had stronger reasoning abilities, but after real deployment it turned out that for an on-chain Agent to run long-term, it's far more than just a model problem. It needs an identity, a wallet, payment capability, and must stay online 24/7. These aspects are actually the hardest to achieve.
However, the BNB Agent Studio launched by BNB Chain seems to address those previous challenges one by one.
First, BNB Chain stopped competing on models and instead directly integrated the infrastructure that developers find most painful.
Second, it is simple to use. In the past, to run a truly autonomous AI Agent on-chain, you had to piece together a wallet, identity, payment, AI model, and cloud hosting—each from different vendors, often taking several days to integrate. BNB Agent Studio packages all of these into a single workflow. In Claude Code or Cursor, just say what you want, and the Agent is deployed on-chain. It has its own wallet and on-chain identity, can take orders, receive payments, and auto-renew without your constant supervision. In short, an on-chain AI Agent that can operate by itself.
For example, Pancake built an Agent on BNB Chain; the demo link is: https://t.co/kCnmQ23SRF
I have always believed that the value of an AI Agent does not depend on how beautifully it answers, but on whether anyone is willing to keep using it. Only if it can stay online long-term and continuously provide services does it have the chance to generate revenue, accumulate users, and create its own network effect. Otherwise, no matter how clever, it remains a vase.
I think this is why more and more projects are putting AI Agents on-chain. Identity can be verified, assets can be custodial, payments can be automated, and all operating records can be publicly verified. These are hard for traditional AI applications to achieve.
Of course, the whole track is still early. Whether the future will see super Agents or a multitude of vertical Agents, nobody can say yet. But one thing is becoming clearer: the truly valuable aspect in the future is not just the AI model, but the infrastructure that allows these AI Agents to run continuously.
From this perspective, BNB Chain's step looks more like building a road in advance.
If you also follow AI Agents, you might as well try BNB Agent Studio yourself. Many things, reading docs or others' introductions, are less intuitive than running it yourself and feeling it directly.
#BNBChain #BNBAgentStudio #AIAgent @BNBCHAIN @BNBCHAINZH
Website entry: https://t.co/MXUj4pyRlx
Tutorial: https://t.co/B2V1HxsgKv