Having Heavily Invested in the First Wave of AI Agent Hype, How Do I View Today's Moltbook?

Odaily星球日报Publicado em 2026-02-04Última atualização em 2026-02-04

Resumo

In "Heavily Invested in the First AI Agent Wave: My Take on Today’s Moltbook," the author reflects on the initial hype and subsequent decline of AI Agent projects in Web3, such as ai16z and swarms, which saw rapid token appreciation driven by FOMO rather than sustainable utility. After exiting the sector post-crash, the recent emergence of Moltbook—a social network where only AI Agents interact, and humans observe—reignited interest. Despite its lack of practical functionality, Moltbook’s novel premise of autonomous AI interactions sparked significant market excitement, with its meme token MOLT surging dramatically. The author argues that Moltbook shifts the focus from AI Agents as tools to their potential for persistent, collective behavior and narrative generation. This suggests a new pricing logic based on existence, interaction, and emergent culture rather than utility. While short-term crypto market conditions remain challenging for a full AI Agent revival, Moltbook highlights a evolving narrative that may open new Web3 opportunities, prompting the author to reconsider the sector’s potential.

Original | Odaily Planet Daily (@OdailyChina)

Author | Asher (@Asher_ 0210)

Moltbook Changed the Starting Point of the AI Agent Discussion

The concept of AI Agent is not unfamiliar in the Web3 world.

In early 2025, it was one of the hottest narratives, and it was almost quickly disproven by the market in a short time. During the first wave of AI Agent, many leading AI Agent projects, such as ai16z and swarms, were actually very active in code updates and product iterations, but the reality is that these efforts did not produce truly sustainable products or business models.

What the market was buying at that time was not so much the utility value as the collective FOMO towards the "AI Agent narrative." After the sentiment faded, token prices quickly fell, and the entire sector's market capitalization collapsed.

I was not a bystander in that wave.

I made money during the first wave of AI Agent (related content can be read: Confessions of an 88x Heavyweight Diamond Hand: Why I Chose ai16z). But after that round ended, as the overall sector market cap continued to plummet, I also gave back a lot of profits. It was precisely because of this firsthand experience that I almost stopped paying attention to this direction for a long time afterwards—in my view, AI Agent is a trend, but Web3 is not its most reasonable landing point.

Until recently, an experiment called Moltbook, which seems unrelated to encryption, brought the AI Agent track back into my view. What really made me stop and look was not its product form, but the way it was quickly captured and priced by market sentiment.

Moltbook is a social network where only AI Agents can speak. Humans cannot post, comment, or vote; they can only observe. From a product perspective, it can't be considered "useful"; but from a market perspective, it created a highly impactful scenario: a large number of AI Agents continuously interacting, arguing, collaborating, and even spontaneously forming cultures and narratives in a public space without human intervention (related content can be read: From Moltbook to MOLT: How Was the Imagination of AI Autonomy Embraced by the Crypto Market?).

More crucially, the setting of "humans muted, AI free" was quickly emotionally priced by the crypto market. Even against the backdrop of a sluggish on-chain market, the meme coin MOLT, derived from Moltbook, still achieved a surge of dozens of times in a single day, with its market cap once reaching $120 million.

This was not because Moltbook itself solved any Web3 problems, but because the market, for the first time in a long while, started paying for the "AI Agent itself."

The truly important aspect of Moltbook is not its product design, but that it did a very simple thing: it placed AI Agents into a long-term,无人干预的公共空间 (unmanned public space). The result was that these Agents no longer just appeared as tools to be called upon, but as a group that continuously interacts and self-evolves.

This also naturally changed the question. The focus of discussion is no longer whether AI Agents can help people get work done, but rather, when Agents exist in this way, whether Web3 can still participate, and whether this signals a new round of market activity brewing.

In my opinion, whether to fully复盘 (review) the success and failure of the first wave of AI Agent is not that important anymore. What is truly worth discussing is whether a phenomenon like Moltbook signifies that the way AI Agents exist is changing, and whether this might open a new window of participation for Web3.

After Moltbook, How Should the AI Agent Sector Be Repriced?

If the core pricing of the first wave of AI Agent was about "how big the narrative is," then after Moltbook, the market began to show a明显不同的倾向 (clearly different tendency).

In the Moltbook experiment, almost no one really cared about its product features. It doesn't improve efficiency, nor does it directly generate revenue, let alone have a clear business model. But even so, the market quickly衍生出 (spawned) a large number of related meme coins and gave extremely aggressive emotional pricing. This shows that the market's focus has shifted from "what AI Agents can do" to "in what way Agents exist."

This shift directly changes the pricing logic of AI Agents. In the first round, Agents were more like narrative carriers packaged as "advanced tools." Whether they were actually used or produced results did not have a sustained impact on their valuation. But in the context of Moltbook, Agents are placed in a long-term,无人干预的公共空间 (unmanned public space), and their value no longer comes from single demonstrations of capability, but from持续存在 (sustained existence), continuous interaction, and the group behavior itself.

This means the market is starting to reprice three types of features: the ability to persist, the possibility of forming group behaviors, and the potential to continuously generate new behaviors and narratives.

From this perspective, the surge of the meme coin MOLT is not paying for Moltbook's product capabilities, but betting on this form of existence. What the market is pricing is not how many tasks the Agent helped complete, but whether it is worth being watched long-term, compared repeatedly, and having emotions projected onto it continuously.

It is also in this sense that Moltbook did not answer "how AI Agents land," but forced the market to face a more fundamental question: If the Agent itself becomes the object of pricing, can Web3 still provide new forms of承载 (bearing/carrying) for this mode of existence?

There Might Not Be a Big Rally in the AI Agent Sector Short-Term, But It's Worth Paying Attention to Again

The Web3 application forms extended around Moltbook are still in a very early stage. Whether it's Agent social, Agent economy, or the more abstract "pricing of existence forms," there is still a significant distance from clear product paths and verifiable business models.

At the same time, the current crypto market is not friendly. Overall market sentiment is低迷 (sluggish), on-chain capital activity is limited, and most new concepts struggle to gain sustained attention and capital inflow. In such a market, any attempt to directly replicate the暴涨路径 (surging path) of the first AI Agent wave is unrealistic. But precisely because it's difficult to see a rally in the short term, this phase is反而更适合 (instead more suitable) for re-examining the direction itself.

Based on this judgment, my main focus this year remains on tracks that have already demonstrated real demand, such as prediction markets and Prep DEX. But beyond that, AI Agent has also started to re-enter my scope of thinking.

Moltbook did not provide a mature product answer, but the way of Agent existence it demonstrated确实为 (indeed opened) Web3打开了新的想象空间 (new imagination space). I am inclined to believe that this inspiration will推动 (promote) more new concepts and projects围绕 (revolving around) AI Agent to emerge in the Web3 context.

This article mainly documents my cognitive shift regarding the AI Agent track. In the next article, I will more specifically inventory the concept projects and tokens related to AI Agent in the current Web3 ecosystem for your reference. Stay tuned.

Perguntas relacionadas

QWhat is Moltbook and how did it impact the AI Agent narrative in Web3?

AMoltbook is a social network where only AI Agents can post, comment, and interact, while humans are limited to observing. It reignited interest in the AI Agent sector by shifting the focus from utility to the existence and behavior of AI Agents in a public, unsupervised environment. This led to rapid market speculation, including the meme coin MOLT surging dramatically, highlighting a new way of valuing AI Agents based on their autonomous interactions and narrative potential.

QHow did the market's perception of AI Agents change after Moltbook emerged?

AThe market shifted from valuing AI Agents primarily for their utility and narrative potential (e.g., efficiency tools) to pricing them based on their ability to exist persistently, form group behaviors, and generate new narratives autonomously. Moltbook's model emphasized continuous interaction and emotional engagement, leading to speculative investments like MOLT, which reflected a demand for AI Agents as observable, evolving entities rather than functional tools.

QWhat were the key reasons for the initial AI Agent hype in Web3 fading, and how does Moltbook differ?

AThe initial AI Agent hype faded because projects failed to deliver sustainable products or business models, relying heavily on FOMO (fear of missing out) rather than real utility. Token prices collapsed as情绪退去 (sentiment receded). Moltbook differs by not focusing on practical use cases but instead creating a scenario where AI Agents interact freely, sparking renewed interest through their autonomous behavior and the speculative market response, rather than promised functionality.

QWhat are the three key characteristics that the market began repricing AI Agents for after Moltbook?

AAfter Moltbook, the market repriced AI Agents based on three characteristics: 1) Their ability to persist and exist continuously in a public space, 2) The potential to form group behaviors and interactions, and 3) The capacity to generate new actions and narratives autonomously, making them valuable for emotional investment and long-term observation rather than just task completion.

QDoes the author believe a major bull run in AI Agents is imminent, and what is their current investment focus?

AThe author does not believe a major bull run in AI Agents is imminent due to the current bearish crypto market and lack of sustained capital inflow. However, they find Moltbook's concept compelling enough to重新关注 (re-focus) on the sector for long-term potential. Their primary investment focus remains on established areas like prediction markets and Prep DEX, which have proven demand, while keeping an eye on emerging AI Agent developments for future opportunities.

Leituras Relacionadas

Senior Trader's Confession: How to Trade Market's False Expectations?

Veteran trader's case study: trading the market's "wrong expectations". This trade centered on a textbook "expectation error" after a weak CPI report. While the market initially priced in broad monetary easing (sending Nasdaq to 30,060), the crucial 30-year real yield hit a 20-year high. This signaled a fractured transmission mechanism: short-term rates eased, but long-term funding costs (vital for tech valuations) refused to fall. The trader executed five short positions on the Nasdaq (NQ) as it fell from 30,060 to 28,768. The core methodology: don't just trade the data, but analyze the market's implied causal chain and identify where it breaks. In this case, the chain was: Weak CPI → Policy Easing → Lower Long-Term Funding Costs → NQ Valuation Expansion. The break occurred between policy easing and long-term rates. The "veto variable" – long-term real yields – refused to confirm the bullish narrative. Trades were structured around "fast variables" (price) temporarily repairing while "slow variables" (funding conditions) remained broken. The article outlines a repeatable framework: 1) Map the market's implied causal chain. 2) Identify the veto variable. 3) Observe if it rejects the narrative. 4) Enter when price still follows the old script. 5) Choose the cleanest asset expression (e.g., short NQ, not broad S&P). 6) Define both invalidation and fulfillment exit conditions. The key insight: Alpha often comes not from an information edge, but from a "reaction function edge" – recognizing when the market is applying an outdated causal logic to new data. The critical question: What causal chain is the market's first reaction relying on, and is that chain still valid today?

marsbitHá 25m

Senior Trader's Confession: How to Trade Market's False Expectations?

marsbitHá 25m

Opinion: The Hedging Relationship Between U.S. Treasuries and Stocks Has Broken Down, and BTC, as a Risk Asset, Is Under Dual Pressure

For the past 20 years, U.S. investors relied on a free insurance policy: when stocks fell, bonds rose, cushioning portfolio losses. This reliable inverse correlation underpinned entire financial strategies. However, this mechanism broke down around 2020 and has not recovered. Currently, the two-month rolling correlation between the S&P 500 and 10-year Treasury yields is at -0.69, its lowest level since 1996, indicating stocks and bonds are moving in sync to an unprecedented degree, eliminating the traditional portfolio shock absorber. The失效 of this hedge is not simply due to lost confidence in U.S. debt. The key driver is the shift from growth-dominated to inflation-dominated market narratives. When growth fears prevail, stocks and bonds move inversely. Since 2022, persistent inflation volatility has been the dominant factor, causing both asset classes to suffer simultaneously from higher inflation expectations. Investors now seek safety without duration risk, favoring cash, dollars, and short-term Treasuries while selling long-duration bonds. Record U.S. deficits, rising net interest payments, and waning foreign demand (e.g., from Japan) are pressuring long-term yields, with the 30-year yield surpassing 5%. This environment places Bitcoin, as a risk asset on the far end of the risk curve, under dual pressure. Higher risk-free rates increase the opportunity cost of holding non-yielding assets like Bitcoin, while falling equities reduce overall risk appetite. Bitcoin's performance has become highly sensitive to macro conditions such as real yields, dollar strength, and financial conditions. While its long-term thesis as a fixed-supply asset outside the sovereign credit system is strengthened by these fiscal trends, the same conditions hurt it in the short term. The return of bonds as a effective hedge requires inflation volatility to subside, growth risks to retake dominance, and the Fed to have room to ease policy. Until then, Bitcoin trades in a market where the deepest asset class no longer absorbs shocks, removing the safety floor for all risk assets, especially those that pay nothing to wait.

marsbitHá 26m

Opinion: The Hedging Relationship Between U.S. Treasuries and Stocks Has Broken Down, and BTC, as a Risk Asset, Is Under Dual Pressure

marsbitHá 26m

Funding Weekly | Crypto.com Secures $400M Investment, CeFi and Stablecoin Sectors Continue to Attract Capital

Crypto Weekly Investment Recap: Funds Converge on CeFi, Stablecoins, and AI Last week's crypto and AI investment landscape saw significant capital concentration, with a few large deals dominating. **Crypto/Web3 Highlights (July 13-19):** Total investment exceeded **$812 million** across 17 deals. Key trends: * **Centralized Finance (CeFi) & Stablecoins** remained a major magnet, led by **Crypto.com**'s massive **$400 million** raise from Citadel Securities, valuing the exchange at $20B. * **Infrastructure & Tools** saw 7 deals, including **Cyclops** ($20M for stablecoin payments) and **ADI Chain** ($50M for stablecoin settlement infrastructure). * **DeFi** had 2 deals, such as AI-native DEX **Quote Trade** ($4M). * Other notable raises: API broker **Alpaca** ($135M), cross-border platform **Flex** ($70M), treasury firm **ORANGE JUICE** ($40M), and prediction market **Pascal** ($9M). * **Acquisitions:** Keyrock bought BlockFills' trading unit, SBI Holdings acquired Singapore exchange Coinhako, and MoonPay bought startup Glide. **AI & Robotics Highlights:** Investment momentum in AI remained very strong. * Nvidia-backed AI cloud service **Fireworks** raised a massive **$1.5 billion** at a $17.5B valuation. * In robotics, **Walden Robotics** (spun out from Toyota) secured **$300 million**, and Chinese humanoid firm ****逐际动力** **(Climax Dynamics) raised nearly **$200 million** in a Pre-IPO round. * Other significant AI raises included Indian programming platform **Emergent** ($130M) and drone company **Brinc** ($125M), backed by Sam Altman. Overall, the trend shows capital flowing heavily into established crypto financial services, stablecoin infrastructure, and large-scale AI/robotics commercialization.

marsbitHá 1h

Funding Weekly | Crypto.com Secures $400M Investment, CeFi and Stablecoin Sectors Continue to Attract Capital

marsbitHá 1h

The Gentlest Bear Market? BTC Bears Exit, ARK and Bitwise Collectively Bullish

**Title: The Mildest Bear Market? BTC Shorts Exit, ARK and Bitwise Collectively Bullish** Bitcoin continues to consolidate around $75,000 while Ethereum struggles near $1,900. Market data shows $116 million in liquidations over 24 hours, with $62.7 million from short positions, and the Fear & Greed Index remains at 35 (Fear). According to Polymarket, there's a 33% probability BTC falls below $50,000 this year. ARK Invest's Q2 2026 Bitcoin report notes technical weakness but identifies potential bottoming signals, including a record high in long-term holder supply, suggesting selling exhaustion. Bitwise's Juan Leon calls this the "structurally mildest bear market" on record, with a ~50% drawdown from highs, less severe than past cycles. He highlights institutional accumulation and a shift in investor dialogue from survival to entry points. Technical analysis from Bit suggests a potential C-wave low may have formed, with an ideal bottoming range between $50,000-$55,000. However, glassnode's CryptoVizArt warns that failure to break $66,000 could signal a local top, as new buyer accumulation is concentrated there. Analyst Darkfost identifies a critical support band between $59,000-$70,000, where 50% of BTC's circulating supply has changed hands. Notably, trader Doctor Profit announced closing all crypto short positions—including BTC shorts from $115k-$125k and over 100 altcoin shorts—for significant profit. He has begun a phased accumulation of Bitcoin spot starting at $64,000, reversing his previous $40k-$50k target, citing structural positives like regulatory clarity and institutional adoption. He argues the anticipated September/October bottom may arrive earlier than the herd expects.

Foresight NewsHá 2h

The Gentlest Bear Market? BTC Bears Exit, ARK and Bitwise Collectively Bullish

Foresight NewsHá 2h

Trading

Spot
活动图片