The Dawn of Singularity — How the first AI agent launch platform "Surge" on SUI reshapes asset launch logic?

Consensus has arrived: Crypto belongs to “AI Agent”

Not long ago, Google launched the Agent Payments Protocol (AP2), with major crypto giants such as the Ethereum Foundation, Mysten Labs, and MetaMask prominently involved.

A clear consensus is emerging: cryptocurrency will become the “economic language” of AI Agents. At the confluence of this wave, a project called Surge is becoming the most promising explosion point in the SUI ecosystem.

Google DeepMind pointed out in the paper “Virtual Agent Economics” that the popularity of AI Agents is giving rise to a “new economic layer” of autonomous trading and collaboration among agents, with trading scale and execution speed far exceeding human capability boundaries.

This economic model puts forward three core requirements for the monetary system: efficiency, globalization, and programmability. Traditional fiat currencies, which rely on centralized clearing and face obstacles in cross-domain circulation, clearly cannot meet the underlying needs of AI Agents for millisecond-level transactions and cross-scenario collaboration…

What fiat currency cannot do, Crypto is inherently compatible with.

Decentralized settlement, smart contract collaboration, millisecond-level payments.

AI not only “thinks”, but also “pays”.

AI allows intelligent agents to think, Crypto enables intelligent agents to trade.

The various characteristics of cryptocurrencies make them perfectly suited as a currency for AI Agents. From high-frequency payment strategies in quantitative trading to the cross-platform service booking settlements of personal AI assistants, Crypto can accurately realize the value quantification and secure flow of resource exchange.

Research institution Type of System pointed out that the AI Agent market size is expected to soar from 5.29 billion dollars in 2023 to 21.68 billion dollars in 2035, with a compound annual growth rate of 40.15%.

We are all standing on the eve of the singularity.

The wave of productivity driven by AI and the revolution in production relations reshaped by blockchain converge here. The deep integration of AI and Web3 is an inevitable direction, and a market worth hundreds of billions is in the making. The launch of AI-related assets, as a key factor, will also be the main theme of the next stage.

However, the potential of this fusion that has been tapped is still less than 1%. It is during the golden window period of the AI Agent economy that the “asset launch infrastructure” supporting its development has become the biggest shortcoming at present.

As Surge, the first AI Agent Launchpad in the Sui ecosystem, is reshaping the asset launch logic, incubating quality AI assets, and injecting core momentum into the sustainable development of this blueprint, let's dive in.

Dilemma: 90% of AI projects struggle to escape “stillborn”?

Moreover, the AI Agent project inherently possesses characteristics such as “long development cycle, high technical threshold, and slow landing verification”, while the current fragmented asset launch system in the crypto field further pushes it into a survival dilemma. Under the traditional launch model, 80% of the tokens on the internal market can generally be freely traded on the first day of listing, with the short-term temptation of “quick cashing out” far exceeding the value adherence of “long-term construction”. For AI projects that require 1-2 years of technical refinement and data accumulation, this shortsighted mechanism is akin to a disaster, with the core contradiction concentrated in three major “mismatches”:

1. Time Mismatch: The “Rhythm Disruption” Between Financing and Implementation

“The technical strength is very strong, but the market does not give time.”

This sentence hits almost all the pain points of AI projects.

The traditional VC financing process takes an average of 6-12 months, from project due diligence to the arrival of funds, during which the AI team has to spend a lot of energy navigating capital connections. After the funds are in place, the lack of constraints in a loose funding pool often traps the team in the “blind expansion” trap - excessively hiring non-core personnel and investing in unnecessary marketing, which delays the iteration of core algorithms. By the time of the TGE, the inflated valuation from the early stage creates a huge gap with the products that have yet to be realized, leaving community investors hesitant…

In the end, it was inevitable to face the outcome of “listing and then breaking the issue price”, resulting in many quality technological ideas being stillborn.

2. Professional Mismatch: The “Capability Gap” Between Technology and Operations

AI project founders are often algorithm experts or product geeks, skilled in model training and feature refinement, but generally lack the ability in asset planning, token economics design, and community operations in the Crypto field. On the other hand, community investors are eager to participate in early high-quality projects but frequently fall into the dilemma of “bad money driving out good” due to information asymmetry — either missing out on projects with real technological barriers or mistakenly investing in “air projects” and becoming the bag holders.

This misalignment of professional capabilities makes it difficult for high-quality projects to receive precise support, and also makes rational funds hesitant to enter easily.

3. Trust Mismatch: The “Cognitive Gap” Between Black Box and Transparency

The “black box attribute” of AI research and development is inherently prone to causing a trust crisis: the progress of algorithm iteration is difficult to verify, the use of funds is opaque, and performance indicators can be fabricated. The traditional asset launch model lacks effective supervision mechanisms, further amplifying this trust gap - is the team truly advancing research and development? Is the financing used for core scenarios? Are there any hidden operations in the token unlocking? These questions keep the community in a state of “watchful anxiety,” making it difficult to form a long-term consensus.

The combination of three major mismatches ultimately leads to a vicious cycle for quality AI assets, characterized by “short survival cycles, high trust costs, and difficulty in realizing value.”

The emergence of Surge is precisely to break this deadlock.

Breaking the Deadlock: “Sustainability” Reshapes Asset Launch Logic

Surge is not merely a token launch platform, but rather it fundamentally addresses the misalignment of incentives through three core innovative mechanisms, deeply binding project goals with community interests, and redefining the launch and growth logic of AI assets.

1. FDV Milestone Unlock: “Cash-Out Power” Transforms into “Growth Power”

Surge Launch v1.0 has been calibrated in collaboration with experienced traders and actuaries, innovatively locking 90% of internal tokens (team, advisors, early investors) within 19 FDV (Fully Diluted Valuation) milestones. The team can only gradually unlock the corresponding proportion of tokens upon achieving the phased FDV targets — which may also include thresholds for model accuracy, reaching user scale standards, and validating landing scenarios.

This is very similar to the recent “market value performance compensation plan” tailored for Musk by the Tesla board - but Surge has brought it onto the blockchain.

This kind of system fundamentally eliminates the possibility of cashing out and running away as soon as it goes live: in the early stages of the project, the token unlocking ratio is extremely low. If the team wants to gain profits, they must focus on product refinement and value enhancement; a prototype of a value flywheel subtly emerges: as the FDV steadily grows, the token unlocking ratio gradually increases, forming a positive cycle of “project growth - community benefits - team incentives,” ultimately achieving a win-win for both the project and the community.

2. Community Co-Building Financing: “Co-Creators” No Longer Take Over

Surge has completely disrupted the traditional VC-dominated financing model.

The AI team can directly communicate on-chain, offering seed-level financing opportunities to the community.

This model achieves “dual liberation”: small teams bid farewell to the lengthy VC pitching process and quickly secure startup funding, allowing them to focus all their energy on technology iteration; community investors can participate in quality projects at early low prices, with returns directly linked to project growth.

More importantly, the community has shifted from “overvalued takers” to “early co-builders” — supervising project progress, providing genuine feedback, and promoting Product Market Fit.

“Technical team + community users” = new type of value community.

3. Trust System: Use “On-chain Evidence” to Bridge the Cognitive Gap

To address the “black box issue” in AI research and development, Surge introduces a dual mechanism of “performance deposit + on-chain transparency”: project teams must pay a certain proportion of crypto assets in advance as a performance deposit, committing to achieve milestone goals; at the same time, the core information such as the flow of funds, research and development progress, and token unlocking progress of the project is recorded on-chain in real-time and can be checked at any time by the community through the SUI block explorer.

The combination of “margin constraints + transparent supervision” completely eliminates the trust black hole of traditional models. Every action taken by the team is supported by “on-chain evidence”, and every contribution from the community can be clearly tracked, transforming the relationship between the project and the community from “conflicting interests” to “collaborative co-creation.”

As mentioned by Surge officials at the end of August during an AMA discussing “What are high-quality crypto assets” with industry-leading founders: “Let the community sleep well” — this is the logic for launching good assets.

Why Sui？

If AI Agent is the core of the economy for the next decade, and Crypto is the carrier of value transfer, then Sui+Surge will form the “dual engines” supporting this blueprint.

Most people have not yet understood the simplicity and intuitiveness of the Sui Move programming language compared to Solidity and Rust. By discarding contract authorization logic, reentrancy attacks are impossible, and with asset-first as the primary principle… you will recall what the first principle is.

The Move language brings Sui financial-grade security, tens of thousands of transactions per second throughput, and institutional-grade infrastructure. It perfectly adapts to the needs of AI Agent high-frequency trading, complex contract execution, and cross-scenario collaboration.

The Circle IPO prospectus disclosed that Sui is its largest held cryptocurrency; Grayscale has consecutively launched the Walrus and DeepBook trusts… The favor of giants and their active involvement is enough to illustrate a lot; Sui is becoming a key hub for the integration of traditional finance and Crypto —— this is precisely the core scenario soil for the implementation of AI Agents.

Surge will precisely fill the gap in the Sui ecosystem for “AI asset issuance and incubation.” It is not only an asset launchpad but also a “filter” and “incubator” for quality assets: it selects teams that are genuinely willing to build in the long term through the FDV milestone mechanism, injects precise resources into projects through a community co-construction model, and reduces ecological collaboration costs through a transparent trust system.

What is even more exciting is that the high-quality AI assets incubated by Surge can seamlessly integrate into a variety of scenarios: the AI assets held can participate in DeFi liquidity mining to purchase computing power for agents; they can be staked in AI projects to earn model revenue sharing; and they can also serve as “value vouchers” for cross-scenario collaboration, enabling autonomous settlement between different agents.

This “asset - scenario - value” closed loop will further activate the vitality of the AI Agent economy.

Final Words

Countless combinations await discovery, and the blueprint is still being written.

Standing on the eve of the AI Agent economic explosion, Surge will surpass the tool attributes of “fixing asset launch vulnerabilities” and build a new era of “asset infrastructure.”

The integration of AI + Crypto is not just a concept, but an ongoing economic reconstruction. The emergence of Surge has allowed “AI assets” to truly possess a closed loop of launch → growth → value realization.

For AI innovators: This is the ideal ground to escape financing traps and focus on technology refinement;

For community investors: This is the best window period to participate in the next generation of AI+Web3 dividends.

A new economic layer supported by AI Agents is emerging, and the high-quality assets selected by Surge will become the core currency of this era.

Coexist with Sui, walk with Surge. In the waves, seize your ticket to value.

Left hand AI, right hand Crypto. The future has arrived.

Source: Project Express