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TL;DR
The AI x crypto meta exploded in late 2024/early2025… and then vanished. Projects worth $50M+ evaporated. Volumes cratered. Hype died. But there’s still a massive opportunity here—if builders stop chasing tokenized hype and start creating net-new value.
Let’s break it down.
🧨 The Rise (and Implosion) of the AI x Crypto Meta
If you were on CT (Crypto Twitter…c’mon rook) in late 2024 or early 2025, you remember the vibe.
Trump memes. Agent launches. Virtuals doing 50x overnight.
Founders with vague AI credentials got absurd private valuations.
Tokenized agents with no roadmap hit $20M caps in hours.
It felt like AGI was landing onchain next week.
But now?
Most people can’t even name the last AI agent that launched.
Virtuals’ revenue has collapsed ~97%.
Projects like ai16z and Zerebro are MIA.
Even Bittensor—arguably the highest-quality AI crypto protocol—has dozens of dead subnets.
So what the hell happened?
🧱 What Went Wrong (and What Still Works)
Let’s be honest—most of these projects were vapor.
The total agent market cap still floats around $10B+, yet most of them don’t do anything useful. Launch, hype, vanish. Rinse and repeat.
Key themes:
95% of AI x crypto projects are noise. Revenue dropped, usage dropped, team updates vanished. Even “top” agent platforms have sub-3% graduation rates.
Tokenization ≠ value. Most agents weren’t real products. They were just tokens masquerading as innovation.
But demand is real. Everyone wants AI exposure. Especially since open AI investing is gated to VC funds and big tech stocks.
So what we’re left with is a bloated graveyard of tokens… and a few real builders quietly pushing forward.
🔭 Where the Signal Still Exists
Here’s where things get interesting.
There are actually teams doing the hard work. They’re mostly private, under the radar, and not chasing CT dopamine:
Prime Intellect, Nous, Pluralis – real talent, real AI innovation, deep R&D, non-crypto-native teams entering.
USDai – synthetic stablecoins backed by AI infrastructure (like GPUs).
Robotics data plays – trying to build incentive networks for real-world training data.
These aren’t “coin first” projects. They’re infrastructure-first.
They’re not asking “how do I fit AI into a crypto mold?” — they’re asking:
“What does a truly new product look like when crypto + AI are natively merged?”
🔍 What the Next Generation Must Fix
Let’s break this down clearly. Most failed AI x crypto projects shared one of two problems:
Built for speculation, not usage. Launchpads were designed to farm attention, not deliver value.
Backwards design. They started with “let’s launch a token” instead of “let’s solve a real problem with unique capabilities.”
Here’s how we shift:
✅ The Next Crypto x AI Cycle Must Be…
Net-new, not retrofits. We need products only possible through the merger of crypto + AI.
Utility > speculation. Tokenization should enhance real UX—not be the UX.
Infra-agnostic. Open models, closed models, ZK, token, no token—use whatever works best for users.
Global & abstracted. These products should serve users far beyond Crypto Twitter.
Grounded in reality. We don’t need another bot that farms yield or bets on games. We need tools that solve hard coordination and incentive problems across sectors.
🧱 Ritual’s Vision (and Why It’s Different)
Ritual is building toward that future.
Their core thesis?
Smart contracts should access AI models natively.
That unlocks totally new app design spaces—not just in crypto, but across Web2 and real-world industries.
They’re platforming applications where agents aren’t gimmicks—they’re critical primitives.
Some early examples:
Instant prediction markets
AI-native yield routers
Manga x AI fusion engines
Synthetic economies backed by AI compute
You won’t hear about these daily on CT. But they’re coming.
👀 What’s Next?
This is GENESIS Pt. I — a broader series dissecting where AI x crypto actually goes from here.
In the next post, we’ll dive deeper into what net-new applications actually look like, starting with a CT favorite: AI x Speculation.
Stay Nugg’d.
-Cole