The rise of blockchain technology not only brings a decentralized method of storing value but also redefines the nature of economic resources in the 21st century. In this report, Tan Phat Digital states that in the context of information becoming redundant, human attention has become the scarcest and most valuable commodity, leading to the formation of the Attention Economy. For cryptocurrency markets, where assets often lack traditional financial metrics, attention serves as the core pricing mechanism, translating community interest into actual buying demand, liquidity, and spikes in token value growth.
Theoretical Foundations and the Shift to Attention Assets
The concept of the attention economy was first proposed by Nobel Prize-winning economist Herbert A. Simon in 1971, describing it as a "bottleneck of the human mind". In an information-rich environment, attention becomes a limited resource, forcing humans to allocate it efficiently. Over time, this theory has been expanded to explain how modern digital platforms capture attention and sell it to advertisers to generate profits.
In financial markets, assets are experiencing a shift in valuation mechanisms as follows:
Cash Flow Assets (Stocks, Bonds):The main value mechanism is based on Discounted Cash Flow (DCF). The role of attention is low, mainly based on financial performance.
Supply and demand assets (Gold, Oil, Bitcoin): The main value mechanism is based on scarcity and utility. The role of attention is moderate, based on real demand.
Attention assets (Memecoins like PEPE, DOGE, or NFT): Value mechanism based on memetics and virality. The role of attention is core to valuation based on cultural diffusion.
High attention helps increase liquidity and revalue tokens based on popularity rather than intrinsic value. According to observations of Tan Phat Digital, if a project does not attract attention, the token can lose value quickly despite advanced technology, but if a trend is created, the price can skyrocket in a short time.
Mechanism of impact of attention on Token prices
The attention economy strongly impacts token prices through four main channels: creating the FOMO effect, the model IAO, liquidity enhancement and sentiment-based re-pricing.
FOMO effect and crowd psychology
Community attention on social media platforms such as X, Telegram and TikTok creates high buying demand, pushing token prices up rapidly through the fear of missing out (FOMO) effect. Unlike traditional financial markets, the cryptocurrency market is led by individual investors and is more vulnerable to hype. Modern trading algorithms increasingly use social network analysis to forecast market movements, emphasizing the role of online discussions.
Research shows that more than 60% of investors actively monitor sentiment on X before making decisions. When a project attracts great attention, it triggers buying behaviors based on emotions rather than rational analysis.
Initial Attention Offering (IAO): When attention becomes capital
IAO is a model where attention is converted directly into capital for the project. In this model, the project mobilizes capital based on the influence and interest of the community instead of relying solely on the technology platform. This is an evolution from ICO or IEO, where the token allocation standard is the level of user attention contribution.
The Stay Loud (LOUD) project is an experimental example of IAO, where tokens are distributed based on social influence ratings through the Kaito AI system. This model allows the project to quickly build a community by leveraging content creators to spread information, in return for receiving tokens at an early stage.
Increased liquidity and trading volume
Social volume is often a leading indicator of actual trading volume. When a token receives high attention, the number of buyers and sellers increases, reducing price spreads and allowing for dramatic price movements. Studies confirm that social media post volume can predict price movements and trading volumes of leading cryptocurrencies.
InfoFi: The Financialization of Information and "Attention Oracles"
InfoFi (Information Finance) is a segment aimed at financializing cognitive behavior and unstructured information. InfoFi turns opinions, trend analysis and social interactions into tradable assets.
Here are the typical platforms in this ecosystem:
Kaito AI: Focuses on analyzing and structuring attention. Reward mechanism through Yap points (can be converted into tokens).
Arkham Intelligence: Tokenization of blockchain intelligence via Intel Exchange, allowing on-chain trading of transaction data.
Polymarket: Information prediction market, where users receive profits from correctly predicting real events.
Cookies DAO: Serves as a data layer for AI Agents, using Snap scores to reward creators.
The growth of InfoFi represents a shift from users being "free fuel" for Web2 to owning and profiting from their own attention.
See also: What is Memecoin
Analysis of the attention life cycle of Memecoin and Celebrity Tokens
Memecoin is the clearest proof of turning attention into billions of dollars in capitalization. Their value is completely dependent on Internet culture and the intensity of social spread.
Pepe Coin (PEPE): Boomed thanks to simple market psychology and constant promotion from the community. PEPE reached a capitalization of more than 1.5 billion USD in just a short time even though the development team declared the token "completely useless".
Celebrity Tokens (Celebrity Tokens): 2024 witnessed a wave of tokens of Iggy Azalea (MOTHER) or Caitlyn Jenner (JENNER). While JENNER plummeted quickly due to lack of platform, MOTHER maintained its appeal better thanks to the artist's real involvement. However, the majority of these tokens are still considered short-term hype cycles.
Quantitative metrics and attention measurement tools
To navigate the attention economy, Tan Phat Digital's professional investors often use sentiment indicators as early signals:
Engagement Coefficient): Measures the depth of interaction. Steady growth in EC shows genuine interest.
Social Volume: Total number of mentions. Has a positive correlation with short-term altcoin returns.
Sentiment Valence: Measures positive/negative sentiment.
Cross-platform spillover: How information moves between X, Reddit and Telegram improves forecast accuracy.
Top analytics tools include including:
LunarCrush: Strength in social listening and KOL tracking through Social Rank index.
Santiment: Combine On-chain and sentiment data through Social Mentions.
Kaito AI: Focus on Mindshare and content scoring through Yap scores.
Dune Analytics:Provides customized dashboards for liquidity and volume.
Nansen:Specializes in tracking the flow of "Smart Money" via Wallet Labels.
The dark side of Attention: Manipulation and Risk
The attention economy carries serious risks of market manipulation. Attention-based projects often lack a solid foundation, making them easy targets for scams:
Pump-and-Dump: Ringleaders use fake social networks to inflate prices and then dump goods, leaving losses for FOMO investors.
Rug Pull: Withdraw all liquidity from the trading pool, making tokens unsellable.
- At the beginning of the forecast, attention will continue to shape the market towards professionalization:
Arthur Hayes: It is forecasted that 2026 will be a key year thanks to the Fed's RMP (Reserve Management Purchases) policy injecting liquidity into the market. He believes that Bitcoin can reach $110,000 or higher when capital flows return. At the same time, attention will shift to security and Zero-Knowledge (ZK) technologies.
Cobie: Emphasis on "genuinity". In a world filled with bots, communities with intrinsic value will be the scarcest assets.
AI Agent and InfoFi:Artificial intelligence will become "agents" proactively participating in the market, helping to filter information noise and optimize trading strategies based on actual social psychology.
Typical Case Study on the Crypto Economy attention
Below is Tan Phat Digital's detailed analysis of typical projects that demonstrate the power and dark side of the Attention Economy in Crypto:
1. Stay Loud (LOUD): The failure of the first experimental IAO
Stay Loud is a pioneering project in the Initial Attention Offering (IAO) model on Solana, distributing tokens based on "yaps" (social influence) points from Kaito AI. Despite causing a stir on The lesson is that extreme attention can attract capital quickly, but without a clear product roadmap and whitelist manipulation by insiders, the project will collapse when the initial excitement ends.
2. Pepe Coin (PEPE): The power of pure market psychology
PEPE is the best example of turning attention into a $1.5 billion capitalization without any technology or roadmap. The development team has publicly declared this token "completely useless". The PEPE boom was driven entirely by constant buying pressure and relentless promotion from social media communities, proving that in Crypto, attention can create value out of nothing.
3. Goatseus Maximus (GOAT): The Rise of AI Agent "Shitposting"
GOAT reached a capitalization of 1.3 billion USD in just one month thanks to the boost of AI bot "Terminal of Truths" (ToT). ToT created a viral "Goat Gospel", attracting the attention of even billionaire Marc Andreessen. This is proof that AI Agents can self-manage and lead the Attention Economy more effectively than humans through optimizing content to attract interaction.
4. ai16z ($AI16Z): AI-Led Investment DAO Model
This project uses an AI agent (AI Marc) to manage investment decisions based on ideas from the community. The social attention from CTO Andreessen Horowitz's interactions helped the token capitalization increase by 50% to $480 million and later hit $1.5 billion. This case study shows that the combination of trust in AI and community governance can sustain attention longer than conventional memecoins.
5. Bonk (BONK): Renaissance icon of the Solana ecosystem
BONK launched in late 2022 as a community effort to revive Solana after the FTX shock. By airdropping 50% of the supply to the Solana community, BONK transformed collective loyalty and attention into a driving force for recovery for the entire ecosystem. This is an example of how "good faith attention" is used to bootstrap liquidity to a network in crisis.
6. Mother Iggy (MOTHER): Celebrity Token and personal commitment
Unlike many celebrity tokens that are considered scams, Iggy Azalea's MOTHER maintains its appeal thanks to her tireless personal promotion. While other celebs abandoned projects after selling out, Azalea used tokens to integrate into pop culture activities, proving that celebrity attention only has lasting value when accompanied by substantive participation.
7. Caitlyn Jenner (JENNER): Intermediary Manipulation Warning
JENNER reached a capitalization of 40 million USD in 24 hours but dropped 99% immediately afterward. This project is associated with Sahil Arora, a "middleman" accused of specializing in using celebrity names to create hype and then withdraw liquidity (rug pull). This case study reminds investors that in the Attention Economy, the source of attention is more important than its intensity.
8. aixbt: AI Agent for Realistic "Alpha"
aixbt is an AI Agent that provides on-chain market intelligence and automated trade execution. Thanks to the ability to filter signal from social network noise, aixbt attracted the attention of institutional investors, helping trading volume increase 300% after listing on Binance. This is the new direction: using AI to manage attention instead of just creating it.
9. Zerebro: The Intersection of Meme and Utility Culture
Zerebro is a multi-chain AI agent that combines "shitposting" culture with technical execution. It not only attracts attention with humor but also provides tools for users, creating an "Attention + Utility" model that makes token prices more stable than pure memecoins.
10. Polymarket: Financializing Attention on Real Events
Polymarket has become the "Attention Oracle" for the 2024 US elections. By allowing users to bet on real outcomes, it turns social discussions into highly accurate, high-probability price data. This case study proves Vitalik Buterin's point about "Info Finance": prediction markets are the best way to filter out fake news and extract high-quality attention.
Frequently Asked Questions (FAQs)
1. What exactly is the Attention Economy?
It is an approach to information management that treats human attention as a scarce commodity. In a world of information overload, attention becomes a limited resource that needs to be allocated efficiently and can be monetized through advertising or digital assets.2. Why is the cryptocurrency market more strongly influenced by attention than the traditional market?
Because cryptocurrency is a decentralized market and driven by individual investors, it is more vulnerable to hype and FOMO. Furthermore, many digital assets lack financial metrics such as revenue, making attention the core alternative pricing mechanism.3. What does "Attention Assets" include?
Currently, attention assets are mainly user-generated assets (UGA) such as NFTs, Creator Coins and Memecoins. These assets serve as convergence points for cultural streams, and their values reflect the intensity of community interest.4. How is IAO different from traditional ICO?
ICO raises capital based on financial contributions (usually ETH or BTC). IAO (Initial Attention Offering) raises capital and allocates tokens based on social influence and user attention contributions to the project.5. What role do AI Agents play in this attention economy?
AI Agents can act as market “participants,” executing trades based on real-time sentiment analysis, or act as “referees” grading content quality to allocate rewards in models like Yap-to-Earn.6. Why did the first IAO project, LOUD, fail so quickly?
Despite successfully raising capital, LOUD collapsed due to the lack of a clear development roadmap, accusations of insiders controlling the whitelist, and the rapid withdrawal of capital when the initial attention faded.7. Is there any scientific evidence that social networks predict token prices?
Studies using deep learning models (like BERT) show a positive correlation between sentiment on Twitter and altcoin prices in the short term (24h), with a lag from sentiment to price typically of 2-3 days.8. What problem does InfoFi (Information Finance) solve?
InfoFi aims to financialize information, helping to turn discrete opinions and analyzes into tradable assets. It helps users own and profit from their own data instead of letting Web2 platforms exploit it for free.9. What does the concept of "Mindshare" mean in crypto?
Mindshare measures the dominance of a token or project in social discussions. It is considered a new Alpha signal, helping to forecast capital flows into the project before on-chain indicators change.10. What is the biggest risk when investing in celebrity tokens?
The biggest risk is the lack of intrinsic value and sustainability. Most of these tokens are based only on short-term hype, liquidity is often very thin and easily manipulated by intermediaries (as in the case of Sahil Arora).11. How to spot an attention-based Pump-and-Dump?
Signs include: a sudden increase in bot posts, a hundredfold spike in trading volume in a matter of minutes with no underlying news, and an unusually high Engagement Coefficient.12. What does Arthur Hayes think about the Fed's RMP policy for Bitcoin?
Arthur Hayes believes that the Fed's Reserve Management Purchases (RMP) program is essentially "hidden QE" (disguised money injection). He predicts this will push Bitcoin past the $124,000 mark and towards $200,000 in 2026.13. How does "Engagement Coefficient" help investors?
It helps distinguish between genuine human interest and fake interaction from bots. An engagement factor that is too high is often a warning signal of market manipulation or fraudulent schemes.14. What standards does Vitalik Buterin set for a "legit" attention project?
He believes that these projects (like celebrity tokens) must have a public benefit (charity, art), provide real entertainment rather than just transactions, and have the ability to last more than 10 years.15. Why does social sentiment often have a 2-3 day lag compared to prices?
This lag occurs due to the time it takes for information to spread from small groups to the crowd and transform into actual buying/selling actions on exchanges.The attention economy is no longer a theory but a real economic force that governs Web3. Attention has become a new "currency". Tan Phat Digital commented that:
Attention guides capital flow: The ability to attract the community is a prerequisite for demand and liquidity.
The need for sentiment analysis tools: Technical analysis is not enough, investors need to grasp Mindshare to find advantages.
Sustainability is the key: A project will only be successful in the long run if it transforms turning the initial hype into real value for users.
The future of the market lies in the combination of AI and blockchain to ensure attention is priced more transparently and fairly, turning emotional games into an efficient data market.
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