Artificial intelligence agents in the crypto world can now automatically trade, manage investments in decentralized finance (DeFi), and move assets between different blockchains – all without any human involvement. However, the developers creating these agents emphasize that their primary goal isn’t to make the AI more intelligent, but to limit the amount of control it has.
Currently, a key dynamic in the crypto world is a surprising idea: the most effective contributors, according to some experts, won’t be those with the most independence, but rather those with the most constraints. This tension between freedom and effectiveness is shaping how work gets done in the crypto space.
Why Full Autonomy Fails for Crypto AI Agents
Traditionally, AI agents have been created by simply giving them a digital wallet, wide-ranging access, and allowing them to work independently. However, MinChi Park, the co-founder and COO of CoinFello, believes this method is actually risky.
As a crypto investor, I really resonated with what Park said in a recent interview. He pointed out that giving an AI agent too much independent power isn’t a good thing – it’s actually a risk waiting to happen. Basically, unlimited control for an AI isn’t a benefit, it’s a potential problem just looking for a chance to cause issues.
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Park explained this approach as ‘delegation by constraint,’ where an agent’s actions are limited to very specific parameters – things like the tokens it can use, the steps it can take, the amounts involved, and the time it has to operate. Users initially approve these limited permissions, and can cancel them at any time.
Park explained it like this: a large language model is like a credit card limit – it operates within set boundaries. Unlike giving someone a blank check with no restrictions, the model doesn’t make things up on its own; it works based on the rules and information the user provides.
When Permissions Are Not Enough
Limiting an AI agent’s access helps with security, but doesn’t eliminate all risks. Ming Wu, the CTO of 0G Labs, explains that even if an agent’s actions are carefully controlled, it’s still vulnerable if the underlying computing system has data leaks.
Current blockchain systems are generally designed for people. However, for automated programs (or ‘agents’) to work effectively on blockchains, they need things like lasting digital identities, the ability to remember information over time, and secure spaces to operate independently, without anyone being able to interfere.
Wu explained that if nodes aren’t securely isolated at the hardware level, a hacked node could reveal sensitive information like wallet keys or trading strategies.
He explained that a recent spike in improperly set up software agents has created security weaknesses in hundreds of cases. He added that simply relying on software privacy settings isn’t enough to solve the problem, and that true security needs to be built into the computer’s hardware – at the chip level.
Demand Tells the Real Story
What users are asking for makes the direction clear. According to Park, people are much more interested in automated safety measures – like keeping an eye on the health of platforms like Aave during market downturns – than in fully automated trading systems.
A clear example of this happened in October 2025 when new tariffs caused significant market disruption. Over $19 billion worth of investments were quickly sold off, and trading platforms temporarily stopped working.
Only users with specific, pre-approved access were able to take action. All other users saw their existing investments close out.
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Over the next year or two, experts predict we’ll see more direct payments between agents and standardized digital identities become common. The direction things are heading is already apparent.
The AI assistants people are starting to rely on aren’t necessarily the most independent. Instead, it’s the ones with built-in limitations that feel secure and trustworthy.
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2026-04-22 15:21