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AI Agents in Web3: Trends and Demands for New Solutions

AI Agents in Web3: Trends and Demands for New Solutions

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by Giorgi Kostiuk

2 days ago


Over the past two years, investments in AI agents in Web3 have reached billions. However, the reality has been less impressive than many expected. Investors are demanding AI agents that can deliver measurable outcomes such as revenue and influence.

What Makes a Strong AI Agent?

Successful AI agents provide more than simple interaction; they deliver outcomes. They create content on a large scale, engage audiences across platforms, and generate new revenue streams. It is essential for them to provide tangible benefits for creators and communities while avoiding speculative hype.

Tokenization elevates AI agents to the level of digital assets, enabling shared ownership, governance, and economic participation. This allows brands, fans, and communities to jointly benefit from the growth of an agent.

Moreover, effective AI agents evolve beyond a single niche, adapting to trends and linguistic characteristics, which amplifies their impact.

Common Pitfalls in the Industry

Many projects in the industry face failure by creating visually appealing avatars lacking narrative depth or user bases. AI tokens may experience initial growth but quickly decline without utility. Closed, siloed systems hinder growth, stifling network effects. These failures are often tied to the pursuit of short-term attention at the cost of sustainability and value creation.

Why This Moment Matters?

Three converging forces make this transition urgent:

* AI is scaling into a $2.4 trillion market. * Virtual influencers already form a $20B+ economy projected to surpass $45B by 2030. * Web3 has normalized tokenized ownership, now extended to digital identities and AI agents.

These factors are shaping a creator economy where influence is not only human but also autonomous, verifiable, and community-owned.

The current situation in the industry underscores the need for quality changes in the strategy of creating AI agents. Leading companies like Xeleb Protocol are developing platforms to create and manage these new digital assets that can yield real results.

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