
Virtuals Protocol Ecosystem Crash Analysis: What Happened in 2025?
🚨 Virtual’s Gravity: How the Ecosystem’s Projects Crashed with It 🚨
— Roger Collins (@DeSci_Guy) March 9, 2025
The @virtuals_io ecosystem saw a massive correction, with most of its top projects dumping 85%–99% from their ATH. However, not all dumps were equal—some projects held up relatively well, while others… pic.twitter.com/Ri409nr8VL
If you’ve been keeping an eye on the crypto world, you might have noticed some wild swings in the Virtuals Protocol ecosystem recently. On March 9, 2025, Roger Collins (@DeSci_Guy) dropped a detailed thread on X [https://x.com/DeSci_Guy/status/1898796330224595163] that dives into the massive market correction hitting Virtuals and its related projects. Let’s break it down in a way that’s easy to understand, even if you’re new to crypto or AI.
What’s Virtuals Protocol, Anyway?
Before we get into the crash, let’s quickly cover what Virtuals Protocol is. It’s a blockchain project that combines AI, gaming, and cryptocurrency to create virtual characters (think AI-powered digital influencers or assistants) that can earn money and interact with people across platforms like TikTok or Roblox. These characters, or “agents,” are tied to tokens—like VIRTUAL, the main token, and others like AcolytAI, Luna, and Sekoia—that people can buy, sell, or hold. The idea is cool: you co-own these AI characters, and they generate revenue through their activities. But as Roger’s thread shows, things took a nosedive in early 2025.
The Big Crash: Numbers Don’t Lie
Roger’s post includes two key visuals: a bar chart and a table. Let’s unpack them.
The Bar Chart: Who Got Hit Hardest?

The bar chart shows how much various projects in the Virtuals ecosystem dropped from their all-time highs (ATH). Here’s the breakdown:
- Total Decline (blue): This shows the overall percentage drop for each project.
- Due to Virtual’s Decline (red): This highlights how much of that drop was directly tied to the fall of VIRTUAL, the ecosystem’s main token.
Some projects took massive hits:
- Sekoia ($SEKOIA) and Luna ($LUNA) crashed nearly 97%, meaning their value dropped to just 3% of their peak.
- AcolytAI ($ACOLYT) and AIXBT ($AIXBT) did better, losing “only” 85.6% and 87.2%, respectively.
The chart makes it clear: the entire ecosystem felt the pain, but some projects held up slightly better than others.
The Table: Financial Fallout

The table digs into the numbers, listing each project’s:
- ATH (All-Time High) in $M: The highest value these tokens reached, in millions of dollars.
- Current FDV (Fully Diluted Valuation) in $M: Their value as of March 2025, after the crash.
- Total Dump %: The percentage drop from ATH to now.
- Due to Virtual %: How much of that drop is linked to VIRTUAL’s decline.
For example:
- AcolytAI had an ATH of $177M but is now valued at just $4.8M, a 95.3% drop, with 85.6% of that tied to VIRTUAL’s fall.
- Luna, on the other hand, peaked at $266M but is now at $1.8M, a 96.1% drop, with nearly all of it linked to VIRTUAL’s crash.
This data paints a grim picture: most projects in the Virtuals ecosystem lost 85% to 99% of their value, and VIRTUAL’s own 86% decline dragged them down with it.
Why Did This Happen?
Roger’s thread doesn’t just stop at the numbers—he dives into why some projects crashed harder than others. Here’s what he found:
The Survivors: AcolytAI and AIXBT
These two projects held up relatively better (though still down big). Why?
- Real Utility: AcolytAI is an AI knowledge engine, kind of like a Google for AI agents, helping people search and index info. AIXBT is an AI-powered tool for market analytics, useful for traders and researchers.
- Healthy Tokenomics: They didn’t rely on crazy rewards or inflation, which kept their value more stable.
- Engaged Communities: Both had active users and investors who stuck around, even as the market tanked.
The Worst Hits: Sekoia and Luna
These projects took the biggest beating. Here’s why:
- No Real Value: Sekoia was pitched as an AI-managed crypto VC fund but lacked transparency and actual results. Luna was an AI “idol” with a big social media following but no clear way to make money—its value was all hype.
- No Demand After the Crash: Once VIRTUAL fell, their appeal vanished, and investors bailed.
The Outlier: Neurobro
Neurobro ($NEUROBRO) is interesting. It had the smallest ATH ($45M) but didn’t collapse as badly as others with similar valuations. Why?
- Actual Use Case: It offers real-time crypto market analytics, helping traders make smart decisions.
- Loyal Following: With 14k followers on X and TikTok, it built a community that stayed engaged.
- Proven Results: Its AI predictions for crypto price movements have been spot-on, giving it credibility.
Who Might Bounce Back?
In the final part of his thread, Roger picks three projects with the best shot at recovery:
- AcolytAI: Its AI search and indexing tools could become essential as AI agents grow in popularity.
- AIXBT: Traders and researchers will always need its market insights, keeping it relevant.
- Neurobro: Despite the big drop, its utility, deflationary token mechanics, and community give it a solid foundation.
What Does This Mean for Virtuals Protocol?
The crash shows how risky crypto and AI projects can be, especially when they’re tied to a single ecosystem like Virtuals. According to CoinMarketCap, Virtuals Protocol aims to turn digital characters into revenue-generating assets, but the 2025 crash highlights the dangers of hype-driven tokens without real-world use. Web results from Crypto News and Cloudzy suggest the AI crypto space is booming, but projects need solid fundamentals to survive downturns.
Final Thoughts for Investors
If you’re thinking about jumping into Virtuals or similar projects, Roger’s analysis is a wake-up call. Look for tokens with:
- Clear Use Cases: Does the project solve a real problem?
- Strong Communities: Are people actually using it, not just speculating?
- Sustainable Economics: Avoid tokens with wild inflation or unsustainable rewards.
The Virtuals ecosystem crash of 2025 isn’t the end—it’s a lesson. As markets recover, projects with real utility and solid foundations, like AcolytAI, AIXBT, and Neurobro, might lead the way. But for now, it’s a bumpy ride in the world of AI crypto.
Want to dive deeper? Check out Roger’s full thread [https://x.com/DeSci_Guy/status/1898796330224595163] or explore Virtuals Protocol on CoinGecko for the latest market data.