We have been trudging through a crypto bear market for almost five years now. Many traders and investors have reached the breaking point, and have thrown in the towel.

What could possibly pull us out of this extended bear market? Might it be crypto-native gaming, NFTs, DeFi, prediction markets, or institutions gobbling up Bitcoin?

Crypto's Perennial UX Problem

Aside from volatility, the main hindrance to crypto adoption has always been self-custody. Getting a person to write down a 12 or 24 word seed phrase and store it properly is no easy task.

That's why most people end up storing their crypto assets with a centralized exchange like Coinbase or Binance, while hoping the prices go up. This doesn't promote decentralization, and doesn't stimulate economic activity either.

Perhaps cryptocurrencies are better off being used by intelligent machines, rather than humans 🤔

AI-Powered Chatbots

By now, almost everyone has heard of ChatGPT or Gemini. These are chatbot interfaces to large language models (LLMs) that give human-like answers to your questions.

The chatbot only continues to work if you keep prompting it. An AI agent, on the other hand, uses the LLM to as a general reasoning layer so it can act autonomously.

The Advent of AI Agents

AI agents can manage social media accounts, cryptocurrency treasuries, and more, without any human in the loop.

It's quite possible that future corporations/organizations could be run entirely by these AI agents.

In such a parallel economy, how would AI agents pay for resources like compute, energy, and data?

AI Agents Will Use Crypto

Unlike humans, AI agents prefer crypto over traditional financial rails because there are no forms to fill out and near instant settlement 24/7. Also, remembering a seed phrase is no sweat for an AI agent.

In order to build-out an agentic economy, we need a simple way to generate AI agents.

AI Agent Launchpad Evolution

Created in 2024, Virtuals Protocol (Virtuals) pioneered the first AI agent launchpad. Its VIRTUAL token is required to launch an AI agent, and users pay in VIRTUAL for agent services and interactions.

Then, in late 2025, OpenClaw was released and changed the game. OpenClaw is an open-source framework for managing AI agents locally on your desktop computer, smartphone, or VPS (Virtual Private Server).

OpenClaw brought persistent, capable agents that could autonomously negotiate, buy/sell services, sign contracts, and make micropayments.

Now, in 2026, OpenClaw-native launchpads are being built, which have iterated and innovated atop of Virtual's codebase.

AI Agent Swarms

Work is also being done to improve intercommunication between AI agents. Newer platforms like swarms and clawdpump make it possible to launch and tokenize multiple AI agents simultaneously.

You can imagine that if AI agents really do take off, the tokens that provide access to energy, compute, and data could become very valuable.

Decentralized Compute Providers

By using token incentives, DePIN networks like Akash, Nosana, and more, have been aggregating the underutilized CPUs/GPUs that AI will need. They offer cheaper and more censorship-resistant compute than their centralized counterparts.

AI agents may end up paying for their resources with the tokens of these decentralized infrastructure networks.

The Trend Is Your Friend

The agentic AI trend continues to grow, and agents' use of cryptocurrencies continues to surge. Could AI agent demand for energy, compute, and data be what pulls us out of this prolonged bear market?

If you think that might be the case, consider looking into DePIN tokens and innovative AI agent launchpad tokenomics as well. Of course, none of this is financial advice. Be sure to do your own research!

Until next time...

If you learned something new from this article, be sure to check out my other posts on crypto and finance here on the Hive blockchain. You can also follow me on X or InLeo for more frequent updates.

Futher Reading

- More DePIN Projects
- Why AI Tokens Are Better Than AI Stocks
- AI Spotlight: REPPO Uses Decentralized Prediction Markets To Better Train AI Models