AI is Reshaping Everything — Web3 Is Next. Who Will Move First?

AI is transforming business sectors such as finance and even filmmaking, and is now exploring the decentralized sphere of Web3.

Momentum is quietly building at the intersection of artificial intelligence (AI) and Web3. AI-related on-chain activity is expected to grow 86% by 2025, but such applications still represent a small niche. Only 25% of global users report familiarity with Web3 concepts, and blockchain adoption stands at 4% worldwide.

The numbers highlight a consistent pattern: despite its technical promise, Web3 remains difficult to navigate, shaped by complex interfaces, fragmented tools and limited accessibility. For newcomers, the learning curve is steep and even seasoned users often struggle to interpret data and manage risk.

Web3 may be rich in infrastructure and information, but it still lacks the intelligence layer needed to make it broadly usable — and that’s where AI comes in.

Why Web3 Needs AI?

As Web3 evolves, AI is increasingly viewed not as an added layer but as a foundational tool to solve long-standing usability challenges.

Three areas stand out. The first is smart contract optimization. Although contracts are deterministic, they can still harbor inefficiencies or vulnerabilities. AI could help detect anomalies, simulate outcomes and recommend improvements.

Another is personalized finance. Decentralized finance (DeFi) remains daunting for many users due to complex interfaces and opaque risk models. AI agents could analyze behavior and offer tailored strategies.

Thirdly, AI could help scale infrastructure. On-chain systems are transparent but static. AI trained on transaction flows could forecast congestion, manage gas fees and facilitate cross-chain operations.

In short, Web3 has the data, and AI has the tools — but meaningful integration is still in its infancy. That, however, is beginning to change. Several platforms have already started testing.

Who’s Already Making the AI-Web3 Leap?

In May 2025, the global digital asset exchange BingX announced a $300 million investment plan to embed AI into its trading infrastructure. Within 10 days, the company launched BingX AI, a user-facing assistant capable of providing real-time feedback, portfolio analysis and multi-model query routing — all without requiring manual data input. The system was made available to over 20 million users globally, underscoring the speed and scale of the rollout.

The assistant is reportedly available to BingX’s global user base, making it one of the first major exchanges to deploy live AI services at scale. While many competitors are still testing AI behind the scenes, BingX’s rollout offers a glimpse into how centralized exchanges may prototype AI tools before fully decentralized implementations emerge.

These early efforts, while promising, also highlight the deeper frictions in merging two fundamentally different paradigms. As AI begins to interact with blockchain infrastructure at scale, several technical, operational and governance questions come into focus.

Challenges in Merging AI and Web3

One key issue is the cost of training AI models, which typically requires off-chain infrastructure. Most large language models are trained using centralized compute resources, creating dependency risks for Web3 platforms that prioritize decentralization.

Another challenge is governance and accountability. As AI tools begin to influence asset strategies or interact with financial contracts, platform operators will need to clarify the boundaries between automated assistance and user responsibility. Disputes over AI-generated decisions may trigger new forms of legal and reputational risk.

There is also the matter of interoperability. Bridging the gap between off-chain AI outputs and on-chain execution remains a complex challenge. Oracles, middleware and new protocol standards will likely be necessary to ensure the integrity and verifiability of decisions originating from external systems.

Identifying these challenges is the first step toward overcoming them, and it’s often the early movers who help define how those solutions take shape.

Why First Movers Could Shape the Sector

Technological first movers often define the rules of emerging technologies. Just as early DeFi protocols shaped norms around governance and incentives, early adopters of AI in Web3 may follow a similar path.

By rolling out an AI assistant across a live exchange, BingX has positioned itself among the early contributors to what could become a larger architectural shift. The company utilizes multi-model routing to process user queries, deliver real-time feedback, and generate portfolio-specific insights automatically, all without requiring manual input or compromising privacy.

While its long-term commercial impact remains to be seen, BingX’s rapid deployment offers an early glimpse into how centralized platforms might prototype the next generation of AI-powered decentralized tools.

From exchanges to protocol teams, the innovators moving first are not just building tools — they are laying the groundwork for a more intelligent, adaptive and accessible decentralized future. In the race to define tomorrow’s Web3, those who lead today may well write its rules.