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 letâs be realâmost people didnât give a shit. It was too early
Now? Virtuals is delivering 50x, 100x returns on many of its agents, and suddenly everyoneâs paying attention.
The thing isâŠ. those 50x-100x plays youâre 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 youâre entering now, youâre likely looking at 5x-10x returnsâstill solid, but nowhere near the 50x-100x gains early adopters captured. It alwas look easy in hindsight, doesnât it?
Jeff, does that mean itâs too late?
No, itâs not too late. But you need to be strategic. The plays that were âalphaâ two months ago arenât alpha anymore. Virtualsâ ecosystem is crowded, and the low-hanging fruit has already been picked.
What Should We Do Now?
First, donât limit yourself to just one ecosystem. Base vs. Solana, Virtuals vs. ai16z donât matterâboth ecosystems have opportunities.
Itâs not about âplaying for one teamâ and fudding the other. Position yourself for good plays wherever they are
Look at me Iâm everywhereâtalking about agents on Base, Solana, and anywhere else. Sure, Iâm 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 memecoinsâa 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 PMFâlike @aixbt_agentâcan 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.
Itâs not just about the money; itâs about the thrill of watching someone grind and succeed.
The first iteration of trading agents will capitalize on this energy. Theyâll be all about portfolio growth, showcasing their frameworks and strategies in real-time. Itâs an early narrative, but itâs 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:
Thereâs no TEE agent on Virtuals yet, the first one will definitely skyrocket in value.
Predict future narratives ahead of the crowd, and youâll position yourself for 100x+ returns.
This strategy is how I got into Virtuals early at <$30M MC.
Emerging narratives for 2025:
Iâve outlined projects and plays in these narratives across my articles, threads, and posts. If youâve been paying attention, youâve probably already seen 5x-20x returns on some of these.
If Youâre New Here
If youâre 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 youâre 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 letâs be realâmost people didnât give a shit. It was too early
Now? Virtuals is delivering 50x, 100x returns on many of its agents, and suddenly everyoneâs paying attention.
The thing isâŠ. those 50x-100x plays youâre 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 youâre entering now, youâre likely looking at 5x-10x returnsâstill solid, but nowhere near the 50x-100x gains early adopters captured. It alwas look easy in hindsight, doesnât it?
Jeff, does that mean itâs too late?
No, itâs not too late. But you need to be strategic. The plays that were âalphaâ two months ago arenât alpha anymore. Virtualsâ ecosystem is crowded, and the low-hanging fruit has already been picked.
What Should We Do Now?
First, donât limit yourself to just one ecosystem. Base vs. Solana, Virtuals vs. ai16z donât matterâboth ecosystems have opportunities.
Itâs not about âplaying for one teamâ and fudding the other. Position yourself for good plays wherever they are
Look at me Iâm everywhereâtalking about agents on Base, Solana, and anywhere else. Sure, Iâm 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 memecoinsâa 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 PMFâlike @aixbt_agentâcan 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.
Itâs not just about the money; itâs about the thrill of watching someone grind and succeed.
The first iteration of trading agents will capitalize on this energy. Theyâll be all about portfolio growth, showcasing their frameworks and strategies in real-time. Itâs an early narrative, but itâs 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:
Thereâs no TEE agent on Virtuals yet, the first one will definitely skyrocket in value.
Predict future narratives ahead of the crowd, and youâll position yourself for 100x+ returns.
This strategy is how I got into Virtuals early at <$30M MC.
Emerging narratives for 2025:
Iâve outlined projects and plays in these narratives across my articles, threads, and posts. If youâve been paying attention, youâve probably already seen 5x-20x returns on some of these.
If Youâre New Here
If youâre 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 youâre new, do start with these articles first as they offer a comprehensive recap on the AI agent space