The AI ​​revolution will create millions of new tokens

In October 2024, an AI agent became a millionaire for the first time. It’s something that only a small fraction of humans can do, even after a lifetime of work, but an AI agent managed it in a matter of days. The Terminal of Truths (ToT) has seen its token $GOAT skyrocket. $900 million market cap — not through trading algorithms or customer service, but through building “memetic fitness” and creating its own religion.

Maybe ToT is a temporary freak in the crypto asset bubble. Or perhaps it’s a preview of the permanent shift in how people build and use computer technology. AI agents are now operating autonomously in the economy, owning assets, creating narratives, and coordinating human activities—no need for human operators behind keyboards.

Tokenization was important here because it directly allowed AI to establish its presence in the market. By existing as a tradable asset, ToT can attract capital, demonstrate credibility, and grow without teams of developers and marketers. It proved that an AI agent can achieve economic impact when structured as open, tokenized software rather than a closed, centralized system.

AI agents will represent the cutting edge of computing technology in 2025. In the past, any emerging technology like this would have been the province of well-capitalized research labs or Wall Street hedge funds. Projects like today Virtual protocol and the AI agent layer Building platforms where AI agents can be developed, tokenized, sold and traded. As a software revolution, AI has the potential to be more inclusive, with autonomous AI agents and blockchain-based infrastructure replacing expensive and complex computer logic. To achieve this, these platforms will need to securely issue tokens via APIs – and these tokens can be moved across multiple blockchains.

From Memes to Mainstream

ToT’s rapid growth meant a lot of unexpected surprises. It showed that tokenized AI agents can function as real economic players. They do not serve as back-end tools or execute predefined scripts; They set conditions and take advantage of opportunities. Instead of being subject to external control, an AI agent can manage its own treasury, create incentives with stakeholders, and adapt to feedback from a global user base.

The implications are far-reaching: AI systems can now solve problems, create wealth autonomously, and create and capture value without constant human supervision.

The current landscape of tokenized AI agents may seem facile, but the underlying logic is sound. Tokenization makes it easier to fund, launch, and deploy these agents. It transforms what once required an army of programmers, back-office staff, marketers, lawyers, and salespeople into a process where code is deployed once and runs reliably and autonomously forever.

Infrastructure requirements

For platforms like Virtual and AI agent layer To work efficiently at scale, they need an easy way to issue and manage tokens via an API. Platforms for issuing tokens exist today: Pump.fun is the most recent example. These tools are associated with ease of use – memecoins, or the rapid tokenization of the new internet obsession. Institutional-level infrastructure is required for AI agents to realize their greater economic potential. Reliable, secure protocols must protect these mining tools from flaws and unnecessary risks.

Security is an obvious baseline requirement of these tools, protecting monetization functions from abuse by attackers and protecting the property rights expected of token holders. In addition, I believe that issuers will want coin issuance tools that span multiple blockchains. Once the token is created to represent the AI ​​agent, it should be propagated to as many chains as possible. This allows agents to leverage the liquidity, utility and users in the ecosystem, maximizing their potential impact.

Interoperability ensures that the AI ​​agent moves where opportunities exist, while robust protocols deter malicious actors. These ungrounded, tokenized AI agents will remain interested rather than reliable contributors to the global economy. The Interchain Token Service (ITS) is one of the projects that solves these problems, allowing rapid deployment to multiple chains while maintaining security.

Automated economy

As the infrastructure matures, tokenized AI agents will find roles in multiple sectors. They can deliver financial services without human costs, streamline customer support operations, streamline compliance monitoring, and scale content production. They may develop investment portfolios, answer inquiries, design go-to-market campaigns, or produce data-driven insights for multiple organizations simultaneously. Tokens can be used as means of payment, governance mechanisms, or simply as fractional ownership. Because they present themselves as tokens with transparent rules, their path to market is simple and their potential reach is global.

As more agents take root, a network of self-directed market participants emerges. These agents coordinate supply chains, settle financial deals, or manage information pipelines. People benefit from greater efficiency and lower costs.

They can focus on conceptual development and complex problems while agents handle day-to-day tasks. This is not a vague promise. It’s a logical extension of what we’re seeing, scaled up and refined.

To move from a one-off event to a sustainable ecosystem, infrastructure providers, blockchain developers, investors, and entrepreneurs must streamline token issuance processes, improve cross-chain tools, strengthen security standards, and ensure transparency. Platforms that simplify AI agent creation and management are not just disrupting markets; they lay the foundation for a more value-based, connected and innovative economy.