GM, this is Milk Road PRO, your shortcut to where crypto starts finally solving real problems.
This report is built on a simple idea:
If AI agents become real economic actors, they will need economic infrastructure.
Not just more compute. Not just better models. Economic rails.
Because the moment software starts earning, spending, coordinating, and holding value, the question is βwhat financial system can it actually use?β
That is where crypto gets interesting.
So this report looks at three layers where that utility may show up:
- Payments: how agents move value.
- Fundraising: how agent-native businesses raise capital.
- Collateral: what store of value sits underneath an agentic economy
Letβs get into it π
Before we start: Last weekβs Milk Road newsletter showed AI agents already transacting using crypto rails. And in my PRO report last month, The great rewiring of finance, we zoomed out on how AI reshapes finance. So today, we go one level deeper: what infrastructure agents actually need - and which crypto assets capture it.
Software is no longer just helping people do work. With AI agents it is starting to do the work itself.
For me, OpenClaw was the ChatGPT moment for AI agents.
This image shown by Jensen Huang at the recent NVDA GTC shows how fast the market adopts something once it realizes the value it can get. In this case, the value from OpenClaw.
It is not prompt in, answer out anymore. It describes the goal you want to achieve and receiving a fully fledged deliverable back.
And this is not just one viral example. OpenAI, Microsoft, Google, Anthropic, Salesforce, or GitHub are all working on and launching their own versions of agentic tools.
This chart is telling you that AI agent adoption is already happening at speed.
An annual growth rate of 45% basically means we will see millions, and eventually billions, of AI agents in the real economy.
And what that means is simple: every TAM (Total Addressable Market) we use to value markets today is probably too small.
Most market sizing still assumes humans are the main economic actors. But that breaks once agents start doing work at scale.
At that point, it will be really difficult to value markets. The good news, though, is that the direction will be clear: Bigger!
Once that shift happens, the next question is obvious: what infrastructure does a machine economy run on?
How crypto provides value to AI agents
If agents are going to operate like real economic actors, they need a full economic stack behind them.
And that is why the TAM expansion matters so much for crypto: once millions, and eventually billions of software workers start earning, spending, coordinating, and deploying capital, the market for crypto rails gets much bigger than todayβs human-only user base.
Payments - value transfer πΈ
Uh, Ohβ¦ π§ The rest of this report is exclusive to PRO members!
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WHATβS LEFT INSIDE? π
- The only type of crypto asset agents will actually use day-to-day.
- Why some AI-native businesses may never need an IPO.
- The asset that won't move through the system, but will sit beneath it.
- A 3-lane investment map with specific picks.
- The one mistake most investors will make with this trade.
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