The abbreviation AI (that is, artificial intelligence) has become an almost mandatory element of any crypto project in 2024-2025. If earlier project teams hyped on DeFi, then – on GameFi, now, few can do without mentioning AI in their whitepaper to attract investors to their coin presale. But does AI really change anything in the context of fundraising in the crypto industry?
How AI Can Be Used in Crypto Fundraising
In the early stages of the crypto industry, fundraising was chaotic: tokens were distributed manually between holders, there was no verification, and reporting wasn’t transparent. At the same time, the integration of AI can solve three fundamental problems:
- Analysis of investor behavior. Machine learning algorithms analyze who participates in token sales, how funds are distributed, and what patterns indicate that a particular project is a scam.
- Automatic token distribution. Predefined scripts have been replaced by adaptive models for smart allocation in ICOs – they take into account the involvement and contribution of each token holder to the ecosystem.
- Fraud monitoring. Finally, AI is able to recognize suspicious addresses and bot manipulations, as well as cross-transactions between connected crypto wallets at the time of presale.
It follows that artificial intelligence implemented in presale automation tools has become not just another add-on technology, but an element of the trust layer for crypto sales.
AI Application: from Anti-Fraud Systems to Smart Planning
In AI-driven ICO platforms, AI can be used at several levels at once:
- When verifying identity and AML for recognizing fake KYC documents;
- When segmenting the audience for automated selection of participants based on behavioral analysis;
- When allocating tokens for their competent distribution taking into account contribution and reputation;
- In post-listing liquidity forecasting to determine interest in a token based on historical data;
- In multi-account detection to correlate activity, IP, and wallets;
- In social media sentiment analysis for NLP trend research and risk assessment.
One of the outstanding examples of complex AI integration is Nexchain with its NEX tokens. This project uses AI not only to secure the token sale but also for predictive validation routing, smart tokenomics, and dynamic validator evaluation in consensus. In the NEX token presale, the project’s algorithms track participation, analyze the risk profile of wallets, and optimize distribution without manual intervention.
How AI Ensures Transparency
One of the main problems of crypto presales is mistrust on the part of potential investors. From this point of view, AI can provide transparent analytics (for example, in the form of dashboards that display who received tokens, under what conditions, and why), implement forecasting (for instance, if a project receives an excessive number of applications from “mirror” wallets, the AI will issue a corresponding warning), and launch on-chain monitoring in real time (so that a potential token holder can make sure that funds are not being manually redistributed).
Where AI Means Hype
Of course, not everything that has the proud prefix “AI-powered” deserves the attention of investors. Some projects simply manipulate the mention of this technology to increase demand for tokens. Here are the main signs of such AI-washing projects:
- Mention of AI without specifics;
- Lack of AI expertise;
- Lack of SDK, API, and documentation on interaction with AI modules;
- No on-chain signs of AI services.
How to Distinguish “AI-Driven” from “AI-Washed”
Before investing in a token sale with an AI label, you must find out if there is a description of the AI architecture. For example, in the case of Nexchain, the team described the predictive scaling and AI routing modules in detail in their whitepaper. It also makes sense to check whether the AI is connected to on-chain actions – this can be tracked through explorers and public documentation.
Next, you will need to analyze the team since real AI projects always have open profiles of at least its key members, and they conduct open AMA sessions on Discord and Telegram.
Finally, make sure that artificial intelligence in the blockchain is already functioning, because if all the “smart” functions indicated in the roadmap will be launched only in 2 years, it is a red flag.
Conclusion: AI is Not a Hype, but a New Generation Tool
AI in crypto fundraising is a revolutionizing solution, but only with competent and technically implemented integration. In particular, it is capable of making presales more transparent and fair, minimizing the human factor in distribution, and providing a high level of protection against scams. But only those projects that actually build AI infrastructure will be able to survive the next cycle.
Nexchain with its NEX tokens has already shown its transparent approach, presenting ready-made AI tools built into the blockchain architecture available to the public. So if you want to participate in AI-powered token sales, join in buying NEX tokens now.
