Miles Deutscher recently explored the rapidly expanding AI agent sector in crypto, presenting a curated list of promising tokens he believes could see significant growth by March. As AI agents dominate market narratives, growing 120% in just 30 days, Miles emphasized their potential to disrupt industries and everyday tasks, making them a central focus for investors in 2024 and beyond.


1. AI16z

Category: AI Agent Meme

A leading token in the space with a strong presence in mind share and user engagement. AI 16z is gaining traction as it pivots from being a meme token to a layer-one infrastructure provider, leveraging its existing community.

2. AIXBT

Category: AI Agent Meme

Known for its large social influence and functionality beyond being a simple AI agent. It offers significant upside potential due to its robust presence on tier-one exchanges like Binance and OKX.

3. LMT

Category: Infrastructure Play

A standout infrastructure token offering cutting-edge technology for automating crypto transactions. It allows users to execute complex actions like token swaps with voice commands or automated inputs, making it a top pick for real-world utility.

4. EMP

Category: Infrastructure Play

EMP powers an intelligent agent launchpad, enabling users to configure and deploy AI agents efficiently. It has established itself as a versatile infrastructure token supporting a variety of AI agent use cases.

5. XMW

Category: Compute and Energy

Focused on providing the computational power and energy needed to run AI agents. XMW leverages its mining infrastructure to deliver decentralized GPU capabilities, creating a robust foundation for AI technologies.

6. Neural

Category: AI Agent Launchpad

Known for its multi-chain agent launchpad (CTIOS), Neural facilitates the creation and deployment of AI agents across EVM and SVM networks, expanding the scope of applications for AI in crypto.

7. Vertical AI

Category: Infrastructure Play

A pick-and-shovel play enabling users to create custom AI models with no-code tools. It supports the broader adoption of AI by simplifying model creation and deployment, catering to both developers and non-technical users.