The Signal
Ejaaz joins Threadguy for a long AI-crypto thesis that moves from the early Pudgy Penguins conversation to agents, platforms, token design, and the research habits needed to stay ahead of the narrative. His core claim is that the sector's first entertaining agents will give way to useful on-chain agents and the infrastructure that lets them work together.
Key Takeaways
- 01
Utility is the next catalyst
Ejaaz says the current wave of entertaining agents can become repetitive. He expects the next step to be agents that own wallets, transact, invest, speak, and create media.
- 02
The market is still niche
He says even a sharp crypto group he contacted was focused on Hyperliquid rather than the AI-agent projects he shared, which he takes as evidence that the sector has not reached broad awareness.
- 03
Concentrate rather than scatter
His allocation framework is roughly 70% platforms and 30% pure agents, with an emphasis on leaders rather than buying a small amount of every new AI coin.
- 04
Tokenomics remain unresolved
Ejaaz says teams still need to clarify how their tokens work. He expects a clearer economic design to help distinguish platform and infrastructure bets from an individual agent.
- 05
Research is a daily job
He describes mornings spent reading, checking markets, Discord, Telegram, Twitter, and long-form work from writers who trace the open-source people and ideas behind the agents.
On the Record
“These teams need to keep iterating. So do we need something net new? Yeah, and I think it's going to be utility, on-chain utility.”
“You basically need to kind of concentrate your bets into the leaders, is my opinion, is the way that I would approach this.”
“You're not thinking big enough, dude. Think about what this is going to look like in a few years' time when these agents self iterate themselves.”
“I'm locked in at the moment. I'm staring at this screen pretty much 24/7.”
The Breakdown
From Pudgy chatter to an AI thesis
The show begins casually around Pudgy Penguins and whether Ejaaz trades non-AI assets, then widens into his conviction that AI crypto is the defining opportunity. Threadguy presses him on how an investor can distinguish a durable narrative from a new ticker. Ejaaz's answer is less about one launch than about a technology stack that can produce agents, platforms, and eventually applications people use.
The entertaining-agent ceiling
Ejaaz says agents that simply post and reply are becoming repetitive; they fill every reply and many will go to zero if they do not iterate. He expects the first real step-change to come from utility: an agent with a wallet that can tip, swap, invest, or participate in new media. He mentions audio and image or video generation as early examples of the direction, while noting that the field is still moving quickly.
A billion-dollar echo chamber
To make the case that the trade is early, Ejaaz describes sending AI projects to a well-connected crypto group that was still concentrated on Hyperliquid. The group had heard fragments of the story but did not know the projects he shared. He calls the existing AI conversation an echo chamber and argues that attention could return once agents appear in the DeFi and trading ecosystems people already understand.
Platforms, frameworks, and token design
Asked how to buy the theme, Ejaaz offers a rough 70/30 split between platforms and pure agents and warns against spreading a portfolio too thin. A platform may integrate multiple frameworks and become the place people launch agents; a framework is more directly a bet on a particular team and token. He says tokenomics are not yet fully resolved and expects clearer designs to shape which infrastructure projects become serious investments.
Self-iteration and swarm technology
Ejaaz asks the audience to think beyond teams making small model improvements. In his longer horizon, agents could identify a bad tweet or weak code, employ another agent, deploy an update, and improve while their owner sleeps. He cites an agent that found a Virtuals exploit and received a $110,000 payment as a small sign of the direction. The coordination layer for agents talking, trading value, and acting across chains is what he calls swarm technology.
The research routine behind conviction
The final section is practical. Ejaaz says he wakes up, checks markets, catches up on Discord and Telegram, and reads; it is not, he says, a glamorous routine. He identifies chats and Twitter as important sources, then praises researchers who publish recurring sentiment work or trace the open-source developers behind the GOAT story. His recommendation is to watch builders and experiments closely rather than treat every agent ticker as interchangeable. He also says his media work is still largely a one-person operation, with occasional contractors, which makes the emphasis on a repeatable personal research process especially concrete.
Distilled from the episode transcript · Counterparty Recap Desk
