You've probably been hearing about AI agents lately.

And it seems like every crypto project is either building one or talking about building one.

Because there's a good reason for that.

Last month alone, I watched three different AI agent projects go from zero to 7 figures.

Not from hype or clever marketing but actually solving problems that Web3 has struggled with for years.

AI agents can handle complex crypto operations autonomously.

Give it a goal - whether that's managing portfolios, running an NFT marketplace, or creating content - and it'll figure out how to make it happen.

Think about what that means for a second.

Instead of building basic automation that disrupts as soon as something unexpected happens, you've got systems that can:

• Make their own decisions using real-time market data
• Handle complex tasks without constant babysitting
• Learn and improve from every interaction
• Actually understand how Web3 works

So, In the next few minutes…

I'll show you exactly what has been happening with AI agents in crypto in 2024 and what’s cooking for 2025 right now.

You'll see how projects are using them, why they're generating serious revenue, and most importantly how you can position your project to catch this wave early.

Whether you're running a DeFi protocol, a gaming platform, or any other Web3 project…

You'll understand exactly why AI agents ARE your next big move.

What Big Players Are Saying About Them

When CEO NVIDIA Jensen Huang called AI agents a "multi-trillion dollar opportunity" at CES 2025, it might have sounded like typical tech industry hype.

But I’ve been in crypto long enough to spot typical tech hype.

And watching what's happened in the market since then has really got my attention.

In fact, here's the craziest part…

Projects that wouldn't touch AI six months ago are now rebuilding their entire systems around AI agents.

We're talking about teams spinning up dedicated AI divisions, moving millions into development, and pushing their best people into this space.

Look at what's happening with Uniswap and Aave.

These aren't teams that chase trends and hype…

They built their reputation on solid infrastructure…

And now they're going all-in on AI agents. Think about that for a second.

Every major Web3 company I talk to has moved this to the top of their priority list and their investors are pushing for more.

The smartest founders in the space aren't treating this like just another feature to add.

Because they understand that thoughtful AI agent implementation could define market leadership in their category and would help them stay ahead and stay relevant

Inside The AI Agent Crypto Boom

Most people still think crypto AI agents are just glorified Twitter bots.

However… after watching this space evolve over the last six months…

I can tell you something much bigger is happening.

We're looking at a $10.75 billion market that's emerged despite the broader crypto pullback.

Truth Terminal really opened my eyes to what's possible.

Sure, getting $50K from Mark Andreessen (a16z founder) was impressive, and watching $GOAT hit $1.2B was wild.

But the real story is how it changed our understanding of AI in crypto communities.

It showed us AI could do more than just react but also participate in and shape community dynamics.

The impact goes way beyond price action.

I'm watching projects completely rethink how they approach user interaction.

And Instead of forcing users through rigid platforms and processes, they're building AI agents that understand and adapt to how people naturally behave in crypto.

Looking at the growth patterns and adoption rates, all signs point to this becoming something massive.

In fact, watching the traction and institutional money flowing in, this feels a lot like DeFi in early 2020.

When you see massive projects allocating millions for AI agent development and VCs restructuring their entire investment thesis around it, you know something big is cooking.

Example Of Different AI Agents Created And What They Do

Let me share some AI agents that are making it to the top of the charts right now.

Zerebro is doing some crazy things for content creation in crypto.

Their AI agent reads music trends, drops tracks on Spotify, and builds real audience engagement. The platform's grown into something that actually resonates with listeners.

Similarly, Luna took an entirely fresh approach with their virtual band concept.

Their AI vocalist develops its performance style based on crowd reactions, creating this incredible feedback loop with their community…

And It's bringing a whole new dimension to how AI can drive entertainment in Web3.

However…

AIXBT might be the most interesting case.

They've built a $500M platform by cracking the code on market intelligence.

Their agent processes what 400 crypto influencers are doing, piecing together market narratives that most traders would miss entirely.

And so while others are focused on basic sentiment analysis, AIXBT is giving traders a complete edge.

Overtime, this space is just exploding right now with new and upcoming AI Agents.

We're seeing over 11,000 new AI agents this month alone, backed by 140,000 token holders who have recognized this major shift happening.

What Projects Need An AI Agent And Why?

Let me tell you…

Building an AI agent isn't just about following a trend to get some hype around your project but about creating new value for your users.

And here's where it gets interesting...

The projects seeing huge traction with AI agents are fundamentally changing how users interact with their platforms.

I'm watching DeFi protocols transform from basic swap interfaces into personalized trading advisors.

Gaming platforms are turning static NPCs into characters that remember player interactions and adapt their behavior.

DAOs are moving from simple voting mechanisms to intelligent systems that can predict proposal outcomes and suggest improvements.

And what excites me most is how this shifts the whole dynamic of Web3 products.

Instead of users having to understand complex protocols or navigate multiple tools, AI agents are creating interfaces that understand user intent.

And this is the difference between giving someone a tool and giving them a solution.

From what I'm seeing in the market so far, projects that nail this transition are capturing massive user attention.

And they're doing it by focusing on one crucial thing…

Using AI agents to solve specific user problems in ways that weren't possible before.

💡 Also, you have to understand that unlike Luna, AIXBT, Zerebro, not every AI agent needs its own token or Twitter presence.

For example, we are building an AI-powered image and video editing system like Canva that lets users create exactly what they envision through simple prompts and crypto.

We simply found a way to integrate an AI agent into an existing platform and set of features to make it more valuable and more efficient.

So, If you're thinking about building an AI agent,

Here's how to start mapping it out:

• What unique value could an intelligent agent add to your platform? Look at your user feedback and what keeps coming up?
• Which parts of your user experience feel outdated or limited compared to what AI agents can offer?
• How could an AI agent create advantages that would be hard for competitors to replicate?

Remember, we're not building AI agents to handle internal processes.

Instead, we're creating new possibilities for your users.

And the most successful implementations I've seen all started with this user-first mindset.

Building With AI Agents

Although the shift in Web3 over these past months has been fascinating to watch, but it's also making me a bit nervous for founders who aren't paying attention.

Every time I open Twitter or jump on a call with VCs, the conversation is the same.

You have to see AI agents not just as another feature anymore because they're becoming the core of how successful projects operate.

Think about what's happening right now.

Major exchanges are creating dedicated AI agent sections and VCs who used to roll their eyes at AI pitches are now leading seven-figure rounds specifically for AI agent development.

Similarly,

The traditional Web3 projects are completely restructuring their roadmaps just because they're seeing projects with AI agents outperform everyone else.

We're even ALREADY helping a ton of Web3 projects like Anomaly Games, Latx Network, and UHT Official integrate AI agents into their infrastructure.

So now that you've seen the market direction… And you understand the opportunity.

The only real question is that…

Where you want your project to be as this space evolves?

So, If you'd like to explore how AI agents could work in your project…

Then let's have a conversation.

You can Just send me a message on Telegram or save a spot on my calendar…

And we'll find a time to talk.

During our 30-minute strategy session, we'll:

• Map out potential AI agent implementations specific to your use case
• Share relevant insights from similar projects in your vertical
• Outline concrete next steps for integration

I hope this was all helpful and I’m looking forward to talking to you on the call.

-Andre.