Everyone follows Clawdbot, but I only care whether my AI can actually execute trades.

In the AI era, Alpha will not belong to the smartest humans, but to those who entrust control of their funds to machines.

Author: Bill Sun

Introduction: Bill Sun, a Stanford mathematician / AI PhD and early participant in discovering Google’s Transformer models, attracted millions of reads on X (Twitter) over the weekend with his tweets. He pointed out: The real challenge for AI Agents lies in how to reliably engage in high-value economic activities, such as automated financial trading. His company recently launched AIUSD.ai, aiming to build the critical “Money Layer” for AI Agents—a native wallet system based on “machine-native” tokenized assets designed specifically for Agents.

The article states that this system thoroughly solves the reliability bottleneck faced by AI Agents. It not only effectively prevents potential theft of user asset keys and costly errors in trade execution by agents like Clawdbot, but also enables Agents to operate all chain/exchange assets uniformly, ensuring end-to-end stability and reliability.

This Agent system equips each user with an AI asset management Agent team and a trader Agent team:

• Continuous market monitoring and risk control
• Execution of high-frequency trading level trades
• Economic interactions with other Agents (such as trading, transfers, paying for learning new skills)

Below is the full article.

Now everyone is talking about Clawdbot->Molty->Openclaw hot spots.

Screenshots everywhere:

• “My inbox was cleared while I was sleeping.”
• “Meetings are automatically scheduled.”
• “Research was completed before I even had my coffee.”
• ……

It feels like Jarvis has finally arrived.

But after using Openclaw and Claude Code for a while, I realize one thing more clearly:

Most AI Agents today provide emotional value, not economic returns.

They think.

They analyze.

They explain.

And then they stop there.

Because when it really comes to deploying funds, humans still face bottlenecks.

The real problem no one wants to admit

Openclaw can tell you:

• “Market sentiment is shifting.”
• “NVIDIA (NVDA) is mispriced in volatility.”
• “Tesla (TSLA) momentum is about to collapse.”
• ……

But what happens next?

You might be busy with other things, without time to open a brokerage account like Charles Schwab and click “Trade.” By the time you have time to act, the Alpha opportunity may already be missed.

Trading tokenized assets is even more fragmented, because assets are spread across different chains, and you must:

👉 Open multiple wallets

👉 Figure out where your liquidity is

👉 Bridge assets across chains

👉 Handle Gas fees, slippage, and execution time

👉 Manually set risk controls

So the bottleneck isn’t in intelligence.

The problem is in execution.

Artificial intelligence has a brain but no hands.

What will change when we stop asking and start delegating?

I no longer seek advice from AI, but start giving it “intent.”

Not asking: “What do you think?”

But saying: “Just do it.”

For example:

• “Rotate idle funds into NVDA exposure.”
• “Automatically reduce risk if volatility spikes.”
• “Switch asset allocation if TSLA breaks below trend.”

This is what makes AIUSD stand out to me.

∆ AIUSD Agent Trading

It’s like hiring a trader who sits in a room, monitors the market 24/7, waits for my instructions, and executes trades instantly with minimal market impact through smart order routing.

Real case: Meta vs Gold, tokenized asset trading executed by an Agent

Here’s a simple but very convincing scenario.

We ran an Openclaw Agent powered by Claude Opus 4.5.

Its task was:

Monitor NVDA, TSLA, Meta, BTC, gold, and silver for volatility driven by earnings.

On January 29, the agent detected:

• Meta showed sustained upward movement after earnings.
• Gold and silver experienced high downward volatility and overall risk due to futures margin rule adjustments.

Considering the on-chain liquidity of tokenized assets and the current portfolio, the Agent decided to:

Reduce exposure to tokenized gold and rotate funds into tokenized Meta stocks.

The Agent used AIUSD to execute:

• Aggregate fragmented funds across multiple EVM chains;
• Automatically reduce PAXGOLD exposure on Ethereum;
• Convert to a unified Money Layer;
• Establish tokenized Meta exposure on SOLANA;
• Add automatic stop-loss points for price drops at the execution level for protection.

No app needed. No chain switching. No late-night clicks. The Agent completed the entire process without disturbing me.

It directly completed the entire workflow.

Why Tokenized Stocks Can Change Everything

It’s been five years since the GameStop event, and this should be obvious.

The failure of 2021 wasn’t due to retail traders but infrastructure.

Markets fluctuate in real-time, but settlement does not.

Recently, Robinhood CEO Vlad Tenev wrote about this: 【Interested readers can click here to read the full article】

His conclusion is simple:

Real-time markets require real-time settlement.

This means tokenization.

And tokenized stocks have the following features:

• Instant settlement
• 24/7 trading
• Machine-readable
• Executable by Agents without intermediaries

This is no longer crypto ideology; it’s financial physics.

Why AI Agents and Tokenization Are Inseparable

How AI Agents operate:

• Continuous operation
• Global scope
• Emotionless
• No tolerance for delay

Traditional finance:

• Limited to market hours
• Settlement delays
• Every step requires manual oversight

These two systems are incompatible.

Tokenized assets are financial instruments with the following features:

• Transfer at machine speed
• Programmable composition
• Fully delegable to Agents

This is the missing key component of “Agentic Finance.”

The Vision of AIUSD

AIUSD isn’t trying to build a better trading app.

We are building a “Money Layer” for AI Agents.

AIUSD aims to create a system that:

• Manages cross-market funds centrally
• Executes instructions with precision to ensure reliability
• Programmable risk monitoring for Agents
• Enables end-to-end operations by Agents

Openclaw demonstrated AI’s thinking ability. Tokenization makes markets “machine-native.”

The existence of AIUSD is to connect these two.

In the AI era, Alpha will not belong to the smartest humans, but to those who entrust their control of funds to machines.

Welcome to try AIUSD 👉 https://aiusd.ai/