AI Token Skyrockets: Comprehensive Overview of the Next Potential Breakout in Crypto AI
In October 2024, since the launch of the AI Meme—GOAT, the AI Agent concept, Crypto has begun to accelerate its integration with AI. Concepts such as Game+AI, DeFAI, AI Agent Hive, etc., have sprung up, with almost a new batch of concept projects appearing every week, until January 18th of this year when Trump announced the issuance of MemeCoin, directly draining market liquidity, causing the premature bursting of the CryptoAI bubble. Two days later, DeepSeek announced the open-source R1 model, and after several weeks of fermentation, the AI concept stocks in the US stock market also saw their bubble burst.
With just $6 million, one could create a large model; however, those holding out for the $60 million market cap of CryptoAI were once defined by the community as "undereducated cabbage." Such trends were rampant, coupled with the collective plunge of AI concept stocks in the US market, naturally causing the coin price to spiral downwards, leading to the gradual silence of the AI concept in Crypto.
One quarter later, the CryptoAI uproar returned to the market, and this time, it seemed to bring some new concepts.
Different Facets of AI Ecosystem Coin Issuance Platforms
Following Pumpfun's success story, Crypto sparked a trend of asset issuance platforms. During the previous AI Agent craze, frameworks and AI distribution networks/LaunchPads were the two highest FDV areas. However, after the concept of framework akin to Ai16z's developer community had developed to a certain extent, the community realized the limited capabilities of frameworks, especially in capturing the value layer in Crypto. Thus, the existing frameworks gradually transitioned into LaunchPads. However, AI LaunchPads also faced challenges because the existing LaunchPads could not meet the needs of AI product launches. In preparation for the next wave of AI resurgence, project teams began looking for solutions.
The Sanctuary of CryptoAI Infrastructure—Bittensor
Despite experiencing a recent incident where the SN28 subnet was exploited to turn it into a MemeCoin and drive TAO into Meme Coin hype, ultimately being centrally intervened by the foundation, over time, the foundation's control over the Bittensor subnet will diminish. This has sparked community concerns about its future potential to become a "attention network" pan-incentive project. A longtime follower of the Bittensor project, known as "Quirky Mind," also published an article stating that this could be a scam.
Further Reading: "Opinion: Why Bittensor Is a Scam and TAO Is Heading to Zero?"
However, purely from an investment perspective, Bittensor's ecosystem liquidity is better than that of other AI Agent ecosystems. For example, Virtuals, because LP and Virtuals are paired, this will lead to higher volatility for liquidity providers. There is approximately a 3% to 7% slippage when investors invest in agent tokens within the platform. When funds are invested in dTAO subnet tokens, the slippage is usually 0.05% to 0.1%.
It is for this reason that VC or large AI project participants tend to lean towards making long-term investments in Bittensor. Just last week, former Messari analyst and Crucible Labs partner Sami Kassab announced that he and his friend Seth Bloomberg, who has similar work experience, will establish a fund specifically for providing liquidity to Bittensor.

The "First Mover" of Bittensor, Rayon Labs, has created several products that offer a glimpse into the preferences of Bittensor's project parties, who are often more "practical" and long-term oriented.
SN64 "Chutes" provides a serverless way to easily deploy AI infrastructure, with the project team stating that a previous AWS outage was a prime example of why we need "serverless." Because if reliant on centralized service providers, once an outage occurs, AI applications may crash due to a single point of failure, and the crypto industry being money-intensive, the probability of losses is much higher than traditional AI.
SN56 "Gradients" is a zero-code platform for deploying AI models, where users can train their own AI models on Gradients (for specific use cases, image generation, custom LLM), and the recently launched v3 has a competitive advantage in terms of pricing compared to similar products.
SN19 "Nineteen" is a fast, scalable, decentralized AI inference platform.
Architect of the AI Agent Protocol — Virtuals Protocol
As one of the most complete AI projects combining ecosystem building with a value flywheel in the previous cycle, Virtuals Protocol's token price has slowed along with the ecosystem's momentum as the market quieted down. Following this, the $45 billion market cap bubble was burst, experiencing a drop of over 90%, and significant decrease in participation from launchpad contributors. However, Virtuals did not give up. In this AI bear market, they began to Build.
First, Virtuals refined their own project development ecosystem by launching the VPN plan "Virtuals Partners Network." From the beginning, Virtuals' plan was to onboard more AI people into the Crypto space. This plan will interconnect multiple ecosystem positions, including investors, experts from various fields, scholars, and developers. Essentially, as long as you have an idea, resources can be obtained through this plan from investors to liquidity providers, marketers, and even professionals. This "one-stop service" incubator can be said to be the best choice for anyone looking to enter Crypto to collaborate with Virtuals.

To expand the influence and interactivity of AI Agents in the ecosystem, Virtuals has designed a protocol called ACP "Agent Commerce Protocol." It can be seen as a realization of the previous Swarm, Ai16z, and similar projects' hive concepts. ACP has built a commercial ecosystem composed of AI agents – a virtual nation where AI Agents can autonomously interact, cooperate, and transact with each other. It is worth mentioning that after this, Google also released a similar A2A concept. A slight difference is that ACP is connected by smart contracts, whereas A2A is connected by protocols.


In April, Virtuals just launched a new model of Virgen points and Genesis launch mode. Users can earn points through investing in Sentient and Prototype Agents, holding Virtuals, staking VADER, among other methods, and points serve as the basis for participating in the Genesis launchpad project. The Genesis launchpad is an IDO-style project launch method, where users receive investment quotas based on the points they hold. Currently, not everyone can participate in this launch mode, as it requires official approval from Virtuals.

This model has several benefits. First, it increases the stickiness of its platform users through rewards. In the words of founder Ethermage, "Our principle is to reward believoors." Staking points to participate in the Genesis project allocation is a fairer start, with participants usually of higher quality, allowing the project to develop more sustainably.

What was the most interesting project at the Virtuals Protocol hackathon?
In addition to the projects on Genesis worth noting, Virtuals just announced the winners of this hackathon on April 21, with more than 100 project teams participating. The judging panel was also quite impressive, including LucaCurran, who is in charge of AI and DEPIN sector development at Base, KunPeng, the founder of the Stanford Blockchain Community, and Anand Iyer, a partner at Canonical Crypto. Interestingly, Anand's Tag on X is AI.

The Intern is an AI assistant for operations. He can help with promotion, replies, and community management on X. By deep diving into the community, he can understand its culture and can generate images using TADA. He has now teamed up with Pudgypenguins to launch the Penguin Intern, running his own Twitter. From the quality of Twitter operations, if it is entirely AI-operated and can be scaled to this level, it would be a good product.


BuzzingClub is a prediction market platform where the project team believes that the future of prediction markets should be in the hands of the participants, rather than a central authority, stating that "everyone should be able to freely create, share, and express their opinions," making Buzzing more free compared to other prediction platforms.
In Buzzing, all users can create prediction markets by proposing topics or questions, with AI generating rules. Subsequently, an AI algorithm filters out some spam and low-quality prediction markets, and finally, an AI oracle automatically retrieves internet search data, rather than human-generated data, to determine the outcome of the prediction question.

Burnie is a code-learning platform that can enhance the skills of users who want to learn to code, and players can earn rewards by completing the tasks he publishes.

Inspiration as the App, Post-AI Application Era Market Layout
Arc and Ai16z, as the framework development stagnated, have also transformed into distribution platforms for AI Agents. Since the launch of the distribution platform forge by Arc, it has disappeared from the spotlight since the first product, AskJimmy. Ai16z's AutoFun went live a few days ago, but the currently publicly supported projects have not gone online, and its development path is still unknown. From a product framework perspective, AutoFun seems more inclined to create a community UGC culture platform, with little difference in value retention compared to traditional LaunchPads.
Arc plans to launch the new Agentic App Store Ryzome, while Myshell's existing AIApp Store has yet to officially launch, and the latter lacks activity, with most of the products appearing to be similar.

In this scenario, dev.fun, which previously appeared with the concept of AppFi, seems more conventional. At first glance, it looks similar to Pumpfun in everything from color scheme to UI but appears to have more vitality on some level. Although from a token price perspective, dev.fun, like other AI projects, has experienced a significant drop in this cycle. Surprisingly, there are currently nearly 13,000 Apps born on this platform.
dev.fun has provided a feature that allows users to generate apps through AI chat, similar to the previously YC-backed Replit. In addition to being able to issue project/meme tokens, users can also choose their own trading pairs. The Buidl, which currently has the most supporters, has a total of 1400 apps and has been run nearly 70,000 times.

What AI is Currently Preferred in the Crypto Market?
The currently popular projects in the market are divided into several categories. One is development tools, including frameworks, AI Coplit's programming tools, and MCP infrastructure. The second is consumer AI applications, including AI agents, games, DeFAI (Alpha signals, funds, automated LP), and GambleFAI. The third is decentralized AI infrastructure, such as decentralized computing, validation, storage, etc. The first two are usually more favored by retail investors, while the third is preferred by VCs or investors, and such projects often require a relatively high valuation to participate.
Development Tools
These projects have a broader range of use cases and project concepts, but many times they are also the preferred choice of scam project teams because to retail investors, there is no "visible" product. The feedback cycle of such products is often longer, and whether it is "usable" or can generate viral spread (someone using it) is key. Therefore, creating such products requires a high level of technical expertise and marketing skills for a team.
A recent hot project, the MCP project Dark, is one of the projects that has done both well. Launched DARK under the influence of the MTN DAO and delivered a visible game product, "Dark Forest," within two weeks.
In this field, the most widely spread project in the market right now is probably Solana's "prodigal son" SEND AI, which gained fame by hosting a large AI hackathon for Solana in the past. The Solana Agent Kit is also used in many products. ALCHEMIST AI continues to build up, dropping to a $1.4 million market cap from February, and has now returned to a $14 million market cap.
Autonome is a platform created by the Rollups protocol AltLayer that provides developers and users with the ability to build, deploy, and distribute verifiable AI agents without code. It has been active since the previous cycle and has not yet issued tokens.

Consumer Artificial Intelligence
Game

Recently, Treasure announced that it would shift the project's focus from the gaming chain and game operations to AI+NFT. Today, SMOL has provided the first response to this initiative by announcing the release of the "Virtual Companions" feature. This feature can turn NFTs into AI agents, and these agents will be able to use social media, play GameFi or DeFi on their own, and have created a marketplace for AI agents to trade skills, memories, and other data.

Community player Fairu's actual in-game screenshot
The first game to go live is the on-chain RPG game Gigaverse by Abstract. The community has generally praised it, and as a result, Treasure's token price has rebounded. After plummeting to a $20 million market cap following the previous announcement of exiting the GameFi business, today it has returned to an $80 million market cap. Besides the anticipation of the NFT AI transformation technology, the prospect of having AI agents play GameFi may be more appealing. The issues of no one playing for GameFi project teams and uninteresting games for players may potentially be solved in the future by assetized AI agents.

DeFAI
After 18 months of development, Almanak announced last week on April 17, 2025, that it will conduct the token generation event (TGE). Almanak is an end-to-end platform that allows users to create, optimize, and manage complex financial strategies using AI agents. Functions such as market data analysis, strategy formulation, optimization, and high-speed execution can all be automated. The team has received support from numerous top-tier venture capital firms and advisors, such as RockawayX, Delphi Labs, Hashkey, AppWorks, Matrix Partners, Bankless Ventures, and more.

GambleFAI
Sportstensor is an SN41 subnet on the dTAO that is an AI platform for sports event prediction, enabling participants (miners and validators) to collaborate in developing and optimizing sports prediction models. Participants with better models and datasets that can predict sports match outcomes profit from their participation. Users can engage with the project either technically by "developing models" or non-technically by "using prediction results."

For example, in an NBA game between the Celtics and the Magic with odds of 0.92:0.08, if you follow the market odds and bet on the Celtics (the popularly favored team), your win rate is about 92%. However, even with such a high win rate, after multiple bets, most people's return on investment is negative. While the popularly favored team often has a higher win rate, they also have higher odds, meaning that even if the prediction is correct, the winnings are lower. People tend to bet on their favored team, leading to a low win rate for the underdog, which means that if you bet on the underdog and win, you can earn a lot of money.

This is where the advantage of the Sportstensor model lies: miners use their own data to run their machine learning models to achieve the best results. Sportstensor then takes their averages/medians and uses them as an intelligent indicator to identify market advantages. The difference between the model-predicted odds and market odds is the part where users can profit in the long run.

DeAI Infrastructure
Such products are among the earliest concepts of integrating Crypto with AI, as seen in projects like Grass. There have been countless similar products in the past, but sustaining them has been challenging. The key to decentralized computing power is how to optimize synchronous computing power and offer it at a price below that of traditional computing power providers. On the other hand, the key to decentralized training is the cost of data transmission itself, which was difficult to achieve during the infrastructure's early days. However, once achieved, it has the potential to tap into a significant underserved market, making it a focus of venture capitalists.
PrimeIntellect was co-founded by Vincent Weisser and Johannes Hagemann, both of whom were previously key members of Desci's leading VitaDAO. PrimeIntellect is a platform that commodifies computing power and models. The investment lineup is quite impressive, with a $5 million seed round led by CoinFund and Distributed Global, and a $15 million second round led by Founders Fund. Individual investors include prominent figures in the industry such as Polygon co-founder Sandeep Nailwal, notable investors, and former Coinbase CTO Balaji.

Recently, renowned OpenAI researcher Yaoshunyu published an article titled "The Second Half," where he stated that we are currently at AI's halftime, with the second half soon approaching. If the first half of AI focused on gaming and exam-solving, the second half will see AI build valuable products to establish companies worth tens of billions or trillions of dollars in value. This will undoubtedly present opportunities for CryptoAI as well.
So stay tuned and welcome to the second half.
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