Artificial intelligence agents are changing the way people think about digital-asset trading. Unlike human traders, these software-driven systems can monitor markets, analyze data, and execute transactions around the clock. They do not need to sleep, take weekends off, or pause because of emotions such as fear and greed.
That constant availability may sound like a major advantage, but Animoca Brands chairman Yat Siu has highlighted a less comfortable reality: users should prepare for the possibility that they could lose access to their AI trading agents at any time.
The Appeal of 24/7 AI-Powered Trading
Traditional trading is limited by human attention. Even the most committed investor eventually needs to step away from a screen. Markets, however, continue moving through the night, on weekends, and during holidays. A sudden announcement, liquidity event, or price swing can happen while a trader is asleep.
AI agents are designed to operate continuously. Depending on how they are configured, they may be able to monitor price movements, identify patterns, rebalance portfolios, or place trades according to predefined instructions. This creates the possibility of a more responsive and automated trading experience.
For crypto users in particular, always-on automation is appealing because digital-asset markets operate 24 hours a day, seven days a week. There is no daily closing bell that gives traders a guaranteed pause. An agent can theoretically continue working while its owner is offline.
The Risk Behind Autonomous Agents
However, automation does not eliminate risk. It can introduce a new category of risk: dependence on access to the agent itself.
An AI agent may rely on a platform, cloud service, wallet connection, application programming interface, authentication system, or third-party infrastructure. If any of those components becomes unavailable, the user may no longer be able to communicate with the agent or review what it is doing.
Access could be interrupted for many reasons. A service provider might experience a technical outage. An account could be suspended or restricted. A software update might change how the agent operates. Credentials could be lost, compromised, or revoked. Regulatory developments could also affect whether a particular service is available in a specific country.
In each case, the agent might continue operating, stop completely, or behave in a way the user cannot immediately verify. The central issue is not simply whether the bot can trade. It is whether the user remains able to control, audit, and recover the system.
Why Control and Ownership Matter
Siu’s warning reflects a broader debate about digital ownership. In many online services, users do not fully control the software or infrastructure they depend on. They may have permission to use an agent, but that permission can be conditional.
This distinction matters in financial applications. If an AI agent is connected to a wallet or exchange account, the user should understand exactly where funds are held, which permissions have been granted, and how those permissions can be removed. A convenient interface should not obscure the underlying custody and access arrangements.
Users should also ask practical questions before relying heavily on automated systems:
- Who controls the wallet or trading account?
- Can the agent move funds, or only place limited trades?
- What happens if the platform becomes unavailable?
- Is there a manual method for stopping the agent?
- Can trading records and transaction histories be exported?
- What recovery options exist if login credentials are lost?
Planning for the Day Access Is Lost
A sensible strategy is to treat an AI agent as a tool that requires contingency planning, not as an independent financial manager. Users should maintain secure backups of important credentials, recovery phrases, configuration files, and transaction records where appropriate. They should also understand how to revoke permissions and move assets without relying entirely on the agent’s interface.
It may be wise to impose clear limits on what an agent can do. For example, users can consider restricting the amount of capital it controls, setting position limits, requiring confirmation for large transactions, and separating long-term holdings from funds used for automated strategies.
Regular monitoring is equally important. An agent that performs well under one set of market conditions may struggle when volatility, liquidity, or market structure changes. Automated decision-making can execute instructions quickly, but speed does not guarantee sound judgment.
Automation Does Not Remove Responsibility
AI agents may make trading more accessible and efficient, but they do not remove the need for human oversight. An automated strategy can amplify losses just as quickly as it can identify opportunities. Technical errors, faulty data, malicious prompts, poor risk parameters, and unexpected market events can all produce damaging results.
There is also a difference between convenience and resilience. A system that works perfectly under normal conditions may be poorly prepared for outages or account restrictions. The strongest setup is one that remains manageable even when the preferred platform, agent, or interface is no longer available.
Preparing for a More Automated Financial Future
The rise of AI trading agents is likely to bring more continuous and personalized financial automation. These systems could eventually handle increasingly complex tasks, from portfolio monitoring to cross-platform execution. But greater autonomy will make questions about access, custody, transparency, and accountability even more important.
For users, the lesson is straightforward: do not confuse an agent’s ability to trade continuously with your ability to control it continuously. Before handing over meaningful capital, understand the technology, limit its permissions, maintain a backup plan, and know how to take action if access disappears. AI may never need to sleep, but the people relying on it still need to plan ahead.
Related read: Strive Adds $335 Million in Bitcoin, Growing Treasury to 36,818 BTC
