Forward the Original Title: How to Position Yourself in This Agentic Cycle
Back in October, Virtuals launched the concept of AI agent tokenization. It was a bold move, but let’s be real—most people didn’t give a shit. It was too early
Now? Virtuals is delivering 50x, 100x returns on many of its agents, and suddenly everyone’s paying attention.
The thing is…. those 50x-100x plays you’re seeing now? If you want similar outsized returns, you gotta be early. You need a strong thesis and the patience to position yourself before everyone else catches on.
If you’re entering now, you’re likely looking at 5x-10x returns—still solid, but nowhere near the 50x-100x gains early adopters captured. It alwas look easy in hindsight, doesn’t it?
Jeff, does that mean it’s too late?
No, it’s not too late. But you need to be strategic. The plays that were “alpha” two months ago aren’t alpha anymore. Virtuals’ ecosystem is crowded, and the low-hanging fruit has already been picked.
What Should We Do Now?
First, don’t limit yourself to just one ecosystem. Base vs. Solana, Virtuals vs. ai16z don’t matter—both ecosystems have opportunities.
It’s not about “playing for one team” and fudding the other. Position yourself for good plays wherever they are
Look at me I’m everywhere—talking about agents on Base, Solana, and anywhere else. Sure, I’m biased toward Virtuals (I bull-post about them a lot), but I keep an open mind.
The key is to stay flexible and look for value, not tribalism
What to Look for in an Agent
At its core, the key to a successful agent is uniqueness and utility. Without utility, agent tokens behave like 95% of memecoins—a quick hype cycle followed by irrelevance.
An agent needs to have a unique product that provides tangible value. Bonus points if the team understands the attention game:
When these elements align, the agent is positioned to find Product-Market Fit (PMF). Teams that continue to execute and innovate after finding PMF—like @aixbt_agent—can dominate their niche and become staples in the ecosystem.
Agents that provide signals and insights for trading are in high demand.
Example:
Hedge fund-style DAOs, run by humans or AI agents, investing with their treasury.
Examples:
InvestmentDAOs are powerful because they provide:
For a deeper dive into InvestmentDAOs:
On-chain trading is a narrative that resonates deeply with the CT crowd because we love seeing the hustle of someone turning $1,000 into $1M.
It’s not just about the money; it’s about the thrill of watching someone grind and succeed.
The first iteration of trading agents will capitalize on this energy. They’ll be all about portfolio growth, showcasing their frameworks and strategies in real-time. It’s an early narrative, but it’s already taking shape with some exciting players.
Examples:
I expect on-chain trading agents to be at the center of attention in Q1/Q2 2025.
As the ecosystem grows, the need for developer tools becomes critical.
Examples:
More on AI Hackathons:
Pioneered by @marvin_tong and @PhalaNetwork on Solana, Trusted Execution Environment (TEE) enables fully autonomous agents.
Example Use Cases / Cool Experiments:
There’s no TEE agent on Virtuals yet, the first one will definitely skyrocket in value.
Predict future narratives ahead of the crowd, and you’ll position yourself for 100x+ returns.
This strategy is how I got into Virtuals early at <$30M MC.
Emerging narratives for 2025:
I’ve outlined projects and plays in these narratives across my articles, threads, and posts. If you’ve been paying attention, you’ve probably already seen 5x-20x returns on some of these.
If You’re New Here
If you’re just discovering AI agents or my content, take time to go through my feed. Each piece is packed with insights to help you get up to speed.
This is your opportunity to build generational wealth.
Or you can chill during the holidays and watch it fade away. Your choice.
If you’re new, do start with these articles first as they offer a comprehensive recap on the AI agent space
Forward the Original Title: How to Position Yourself in This Agentic Cycle
Back in October, Virtuals launched the concept of AI agent tokenization. It was a bold move, but let’s be real—most people didn’t give a shit. It was too early
Now? Virtuals is delivering 50x, 100x returns on many of its agents, and suddenly everyone’s paying attention.
The thing is…. those 50x-100x plays you’re seeing now? If you want similar outsized returns, you gotta be early. You need a strong thesis and the patience to position yourself before everyone else catches on.
If you’re entering now, you’re likely looking at 5x-10x returns—still solid, but nowhere near the 50x-100x gains early adopters captured. It alwas look easy in hindsight, doesn’t it?
Jeff, does that mean it’s too late?
No, it’s not too late. But you need to be strategic. The plays that were “alpha” two months ago aren’t alpha anymore. Virtuals’ ecosystem is crowded, and the low-hanging fruit has already been picked.
What Should We Do Now?
First, don’t limit yourself to just one ecosystem. Base vs. Solana, Virtuals vs. ai16z don’t matter—both ecosystems have opportunities.
It’s not about “playing for one team” and fudding the other. Position yourself for good plays wherever they are
Look at me I’m everywhere—talking about agents on Base, Solana, and anywhere else. Sure, I’m biased toward Virtuals (I bull-post about them a lot), but I keep an open mind.
The key is to stay flexible and look for value, not tribalism
What to Look for in an Agent
At its core, the key to a successful agent is uniqueness and utility. Without utility, agent tokens behave like 95% of memecoins—a quick hype cycle followed by irrelevance.
An agent needs to have a unique product that provides tangible value. Bonus points if the team understands the attention game:
When these elements align, the agent is positioned to find Product-Market Fit (PMF). Teams that continue to execute and innovate after finding PMF—like @aixbt_agent—can dominate their niche and become staples in the ecosystem.
Agents that provide signals and insights for trading are in high demand.
Example:
Hedge fund-style DAOs, run by humans or AI agents, investing with their treasury.
Examples:
InvestmentDAOs are powerful because they provide:
For a deeper dive into InvestmentDAOs:
On-chain trading is a narrative that resonates deeply with the CT crowd because we love seeing the hustle of someone turning $1,000 into $1M.
It’s not just about the money; it’s about the thrill of watching someone grind and succeed.
The first iteration of trading agents will capitalize on this energy. They’ll be all about portfolio growth, showcasing their frameworks and strategies in real-time. It’s an early narrative, but it’s already taking shape with some exciting players.
Examples:
I expect on-chain trading agents to be at the center of attention in Q1/Q2 2025.
As the ecosystem grows, the need for developer tools becomes critical.
Examples:
More on AI Hackathons:
Pioneered by @marvin_tong and @PhalaNetwork on Solana, Trusted Execution Environment (TEE) enables fully autonomous agents.
Example Use Cases / Cool Experiments:
There’s no TEE agent on Virtuals yet, the first one will definitely skyrocket in value.
Predict future narratives ahead of the crowd, and you’ll position yourself for 100x+ returns.
This strategy is how I got into Virtuals early at <$30M MC.
Emerging narratives for 2025:
I’ve outlined projects and plays in these narratives across my articles, threads, and posts. If you’ve been paying attention, you’ve probably already seen 5x-20x returns on some of these.
If You’re New Here
If you’re just discovering AI agents or my content, take time to go through my feed. Each piece is packed with insights to help you get up to speed.
This is your opportunity to build generational wealth.
Or you can chill during the holidays and watch it fade away. Your choice.
If you’re new, do start with these articles first as they offer a comprehensive recap on the AI agent space