Recently, watching AI Agents run on-chain interactions has been quite lively, but I feel it’s still too early for “fully automatic passive lounging.” First, let’s lay out the assumptions: if you only let it follow fixed rules (like dollar-cost averaging, arbitrage, or claiming airdrops), then the biggest problem isn’t whether it can work things out, it’s the pile of invisible frictions on the chain—gas fluctuations, slippage, MEV front-running, and even the same transaction costing noticeably more at different times.

Which parts do I think still need someone to step in and cover the gaps? The first is permissions and signatures. Once the Agent gets hot-wallet access, in plain terms, it’s like handing over the steering wheel—if something goes wrong, you can’t “take it back.” Second is running into abnormal states: contract upgrades, route changes, an RPC acting up, or a nonce getting stuck—these might cause it to keep retrying and burn through all the fees. Third is non-technical issues like “incentive expectations.” Lately there’s been way too much speculation about whether testnet points or mainnet tokens will be issued, and the Agent will only push toward the goals you set—at the end of the day, it may just end up providing liquidity and paying fees for others.

A bit depressing is that the time you save might all be spent dealing with more complex traps. But there’s also some hope: if in the future the Agent can break down transaction costs clearly, simulate the worst-case slippage/MEV risks in advance, and then have people confirm with a click, I’m willing to treat it as a tool, not a driver. For now, that’s it—anyway, I still don’t dare to fully let go.