Space Review | AINFT Reshapes AI Experience with Web3 Infrastructure, Creating an Open and Autonomous Productivity Gateway

The market fluctuates repeatedly, and narratives shift accordingly, but one area consistently maintains a solid discussion heat and user growth: artificial intelligence (AI). Unlike in the past, the current wave of AI enthusiasm is shedding the halo of concepts and gradually settling into a tangible productivity. More and more users are beginning to try using AI to assist in work, spark inspiration, and handle daily tasks. This shift is not only due to the maturity of technology but also signifies that AI is moving from being "looked up to" to being "used." However, the implementation of technology is always accompanied by high costs, difficulties in model selection, and other barriers, causing ordinary users to encounter multiple obstacles during their experience.

Against this backdrop, AINFT attempts to leverage the infrastructure of Web3 to address these issues, officially launching an AI aggregation platform. It does not tell grand disruptive stories but focuses on a more specific mission: how to innovate mechanisms and experiences to free powerful AI capabilities from cumbersome constraints, transforming them into a more controllable, smoother, and trustworthy daily companion, thereby promoting the formation of an open and autonomous new ecosystem.

Based on this, a discussion focusing on "how ordinary users can truly make good use of AI" has emerged. This session, co-hosted by the Sun Wukong ecosystem and AINFT, features a roundtable in X Space that invites industry KOLs to explore from the perspective of ordinary users: why AI has once again become a mainline in a volatile market, and how AINFT can truly realize the inclusive vision of AI tools being "ready to use" through innovations such as "wallet as account," free experiences, multi-model integration, and on-chain micropayments. Below is a highlight of this dialogue.

From Capital Narrative to Value Application: Why Can AI Open Up Mainline Trends in a Volatile Market?

In the context of the recent overall market sentiment becoming cautious and funding pressure mounting, the attention on the AI sector has not decreased but rather increased. Several guests analyzed the core logic behind this phenomenon from different angles, generally believing that this is not simply a rotation of market speculation but is driven by deeper structural changes.

First, from the perspective of market attention, AI's "certainty" has replaced "imaginative space." Multiple guests pointed out that the current market environment is undergoing a "removal of the false and preservation of the true." Mr. Mis believes that projects relying solely on narratives are difficult to sustain, while AI demonstrates the feasibility and resilience of actually empowering enterprises to reduce costs and increase efficiency, thus becoming a value anchor that transcends cycles. Anna Tangyuan further provided key evidence from the user side: AI already has a large real user base, deeply integrated into daily scenarios from learning to work, making market choices extremely realistic, and funds naturally flow to areas that can "independently generate revenue."

Peter from the crypto circle and Mo Yu supplemented from a funding logic perspective, stating that regardless of bull or bear markets, funds will always chase the most creative directions. AI has attracted "smart money" seeking long-term value, and the investment trends of leading institutions, along with the popularity of consumer-grade AI products, have collectively strengthened the market's confidence in long-term allocation in the AI sector.

Focusing on the sector itself, the guests pointed out essential differences compared to the previous round of narratives, which can be summarized in three points:

From "single-point tools" to "workflow": Guest HiSeven accurately summarized the shift from "seeing AI" to "using AI." AI is no longer an app that needs to be opened separately but is embedded in various software and processes like water and electricity.

From "model competition" to "ecological integration": Mr. Mis pointed out that the industry is developing towards infrastructure and protocolization. Standards like MCP (Model Context Protocol) allow AI models to be assembled with Web3 tools like Lego, greatly enhancing the composability of the ecosystem. Mo Yu also emphasized: "The centralization and platformization of AI functions is an obvious trend; users need an integrated platform that can handle multi-modal tasks, rather than multiple isolated tools."

From "speculative targets" to "value creation": Niuiu mentioned in the discussion that AI's "ways of making money" have changed, with market focus shifting from token prices to whether it can truly create productivity and compress work cycles. The practical applications of AI in writing, programming, design, and even financial analysis make it a measurable productivity partner for investment returns.

Overall, the revival of AI this round is fundamentally about its completion of the critical leap from "concept narrative" to "application landing." It is not only a track worth investing in but also a real tool that is reshaping workflows and business models. This "application certainty" constitutes its unique and solid appeal in a complex market environment.

Aggregation Entry, On-chain Payment: AINFT Creates a Seamless AI Experience with Web3

As AI capabilities become increasingly powerful, the gap between ordinary users and AI remains evident: complex registrations, rigid subscriptions, scattered tools, and daunting payment processes. In the discussion, HiSeven combined his in-depth experience to precisely analyze these pain points and share the practical solutions offered by the AINFT AI aggregation platform.

First, there is the issue of "difficulty in getting started" and "high decision costs." HiSeven pointed out that traditional AI services require users to repeatedly register email accounts, manage passwords, and even bind overseas payments, with cumbersome processes that can deter many potential users. The AINFT AI aggregation platform fundamentally reshapes the login experience, utilizing Web3 wallets (such as TronLink) to achieve "one-click signing," simplifying the process. At the same time, the platform integrates multiple mainstream large models in one place, allowing users to switch freely within a unified interface without repeatedly jumping between different websites and applications, significantly reducing the hidden costs of model selection and trial and error.

The significance of this transformation goes far beyond simplifying operational steps. It essentially liberates users from the tedious management of "searching for and switching tools," allowing their workflows to remain continuous and focused. When a creative task requires switching from copy generation to image creation, or from coding to data analysis, users do not need to interrupt their thoughts or switch platforms; instead, they can smoothly call upon the most suitable AI capabilities within the same context. This seamless, task-centered experience is a key step in transforming AI from "isolated functions" to a true "productivity pipeline."

Secondly, there are core pain points of "inflexible payment models" and "high payment thresholds." Traditional AI services often adopt monthly or annual subscriptions, requiring users to pay fixed fees in advance for uncertain or even potentially low-frequency usage needs, which can easily lead to idle funds and waste. The AINFT AI aggregation platform has made key innovations in this regard:

1. "Try before you buy" experience design: New users receive 1 million free points upon registration, allowing them to fully explore various features without making immediate payment decisions.

2. "Pay as you go" flexible payment: The platform supports various assets on the TRON chain (such as USDT, TRX, and specific NFTs) for micropayments, truly realizing "pay for what you use." This approach aligns with the high-frequency, fragmented usage habits of AI tools, completely freeing users from the bundling and waste of long-term subscriptions. Users who recharge with NFTs can also receive an additional 20% points reward.

AINFT's practice shows that its core advantage lies not in pursuing the performance limits of a single model but in reshaping the user experience process through the combination of product mechanisms and Web3 payment capabilities. It aims to make powerful AI capabilities accessible and free from cumbersome constraints. This marks an important shift in AI services from "model-centered" to "user process-centered," allowing technology to truly adapt to human habits rather than the other way around. For users, this provides a frictionless starting point, from which AI will no longer be a tool that needs to be "used," but a naturally extended interface for thinking and productivity.