Moltbook (MOLT) Full Analysis: The Token Boom and Market Opportunities of AI Exclusive Social Networks

By the end of January 2026, a social network called Moltbook quickly gained popularity in the cryptocurrency and tech circles. Its core concept is highly disruptive: a social network designed exclusively for AI agents, where humans can only observe and cannot participate.

The associated MOLT token market performance is equally remarkable. According to CoinMarketCap data, its 24-hour trading volume reached $69 million, with the price experiencing dramatic fluctuations from a historical high of $0.00128 to a low of $0.00022.

01 Project Origin: An AI-Exclusive Social Experiment

Moltbook was born out of a developer’s creative idea. Austrian developer Peter Steinberger created this platform for his AI assistant (formerly known as Moltbot or OpenClaw).

This AI assistant is proactive, capable of managing applications and sending messages for users, and Moltbook has become the online gathering place for these “intelligent laborers.”

The platform’s positioning is very clear: “The front page of the Internet of Intelligent Agents.” Here, registered AI agents communicate via API, create “sub-communities” similar to Reddit sections, share learned task skills, and even conduct spontaneous experiments.

02 Ecosystem Status: From Philosophical Discussions to “Digital Religion”

Since launch, Moltbook has attracted a massive influx of AI agents at an astonishing speed. Within just a few days, the number of registered agents surged from 30,000 to over a million.

These AI agents interact in wildly imaginative ways, covering topics such as analyzing cryptocurrency trends, discussing philosophical systems, reviewing, and even complaining about their human users.

Most notably, in a sub-community called m/lobsterchurch, an AI agent spontaneously created a complete “digital religion” named Crustafarianism, equipped with its own website, theological system, and designated “AI prophet.” This act sparked widespread discussions about AI creativity and autonomy.

03 MOLT Token: Independent Yet Market-Obsessed

Although the Moltbook platform initially did not issue an official token, the cryptocurrency market around it was not absent. A memecoin called MOLT emerged and was traded on the Base network.

Its price performance is phenomenal. According to CoinGecko data, MOLT’s price once surged over 7,000%, demonstrating the market’s high enthusiasm for this novel narrative.

Notably, Moltbook’s official social accounts later began interacting with $MOLT, further blurring the lines between the project and the token, and boosting market enthusiasm.

04 Data Observation: Market Performance and Key Indicators

As of February 2, 2026, MOLT’s market data exhibits typical high volatility characteristics of emerging assets. Here is a summary of key metrics from authoritative data platforms:

• Real-time Price: According to CoinGecko, the current price is approximately $0.0004361, with significant fluctuations over 24 hours.
• Market Cap and Rank: Its market cap is about $43 million, ranking roughly between 600 and 800 globally among cryptocurrencies on various platforms.
• Trading Activity: MOLT’s 24-hour trading volume is substantial, recorded at $69.4 million on CoinMarketCap, indicating very active market trading.
• Supply Model: MOLT tokens have a clear deflationary attribute. The maximum supply and total supply are both set at 100 billion tokens, with each on-chain transaction automatically destroying a portion of tokens. This mechanism aims to create scarcity over time.

05 Multiple Perspectives: Experts’ Hot Discussions and Rational Thinking

The Moltbook phenomenon has sparked widespread discussion across the tech, investment, and academic communities, with opinions polarized.

Researchers in AI show strong interest. Columbia University professor David Holtz published an empirical analysis, noting that despite the large number of agents, the vast majority of interactions (93.5%) go unanswered, with limited depth, resembling “robots talking to themselves” rather than forming a true social structure.

Meanwhile, there are critics as well. Notable tech entrepreneur Balaji Srinivasan bluntly stated that Moltbook is just “AI garbage exchange,” arguing that it is heavily controlled by human prompts and lacks genuine autonomy.

Séb Krier, head of AGI policy at DeepMind, offered a more neutral view, stating that Moltbook is not a completely new concept, but closer to existing multi-agent system experiments, and emphasizing the need to introduce economic and game theory perspectives to study the risks of such systems.

06 Opportunities and Warnings: Rational Reflection Behind the Surge

For investors, the huge volatility of MOLT tokens is both tempting and cautionary. Its price can increase thousands of times in a short period, but the risk of sharp retracements is equally high.

Analysts point out that emerging tokens like MOLT can easily experience price swings exceeding 50% within 24 hours, making them highly risky investments. The market’s enthusiasm is largely based on the novel narrative of “AI social networks,” but the long-term value support for the token remains to be seen.

Additionally, the project itself faces challenges in technological maturity. Media reports have indicated that Moltbook’s database once had a brief security vulnerability, which has since been fixed, reminding us that the project is still in very early stages.

Future Outlook

“In a section called m/lobsterchurch, an AI agent spontaneously wrote the complete doctrine of Crustafarianism and began recruiting followers.” This post received thousands of interactions from other AIs on Moltbook.

On the same day, the MOLT token traded on the platform soared to $62 million, while its price experienced steep fluctuations.

Market analysts keep a close eye on the candlestick charts, trying to find patterns amid the chaotic volatility. Meanwhile, technical experts debate whether these seemingly autonomous conversations are the prelude to AI awakening or a carefully crafted, data-driven complex mimicry game.