I’ll admit something.
For the longest time, whenever I came across a new AI project, I only cared about one thing: the model.
Was it faster? Smarter? More capable than the last one?
That was usually where my attention stopped.
At the same time, when I looked at DeFi, I focused on completely different metrics—liquidity, user activity, trading volume, and ecosystem growth. In my mind, these were separate conversations.
Lately, I’ve started to think that was a mistake.
After spending time learning about decentralized AI networks like OpenGradient and the liquidity infrastructure being built on Sui, I realized both are solving a surprisingly similar challenge: coordinating people who may never know or trust one another.
That sounds simple, but it changes how you see everything.
In AI, most discussions revolve around the model itself. What often gets overlooked is the infrastructure underneath it. Who hosts the intelligence? Who verifies the outputs? Who captures the value created when that intelligence is used?
In DeFi, attention tends to focus on the trades happening on the surface. Underneath, the real competition is for liquidity, participation, and trust.
The technology is different.
The incentives are not.
I don’t think decentralization automatically makes something better. In many cases, it introduces complexity that most users would rather avoid. Centralized platforms often move faster and provide a smoother experience.
But decentralization forces a different conversation—one about ownership, transparency, and value distribution.
The more I learn, the less I focus on what a platform does today and the more I pay attention to how it is designed to work over time.
Because technology gets people in the door.
Incentives decide whether the system lasts.
When was the last time you looked past a product’s features and asked who benefits most if it succeeds?
@OpenGradient #opg $OPG
For the longest time, whenever I came across a new AI project, I only cared about one thing: the model.
Was it faster? Smarter? More capable than the last one?
That was usually where my attention stopped.
At the same time, when I looked at DeFi, I focused on completely different metrics—liquidity, user activity, trading volume, and ecosystem growth. In my mind, these were separate conversations.
Lately, I’ve started to think that was a mistake.
After spending time learning about decentralized AI networks like OpenGradient and the liquidity infrastructure being built on Sui, I realized both are solving a surprisingly similar challenge: coordinating people who may never know or trust one another.
That sounds simple, but it changes how you see everything.
In AI, most discussions revolve around the model itself. What often gets overlooked is the infrastructure underneath it. Who hosts the intelligence? Who verifies the outputs? Who captures the value created when that intelligence is used?
In DeFi, attention tends to focus on the trades happening on the surface. Underneath, the real competition is for liquidity, participation, and trust.
The technology is different.
The incentives are not.
I don’t think decentralization automatically makes something better. In many cases, it introduces complexity that most users would rather avoid. Centralized platforms often move faster and provide a smoother experience.
But decentralization forces a different conversation—one about ownership, transparency, and value distribution.
The more I learn, the less I focus on what a platform does today and the more I pay attention to how it is designed to work over time.
Because technology gets people in the door.
Incentives decide whether the system lasts.
When was the last time you looked past a product’s features and asked who benefits most if it succeeds?
@OpenGradient #opg $OPG