Bitcoin and AI are emerging as the two pivotal technologies of our era, with Bitcoin serving as the new value layer and AI as the intelligence layer.

The adoption of Bitcoin is on the rise globally, bolstered by increasing institutional interest, the launch of new exchange-traded funds (ETFs), and favorable regulatory conditions.

AI agents are expected to require a decentralized method for transactions, which aligns well with Bitcoin's capabilities as a distributed value layer.

The roadmap for integrating AI with Bitcoin involves developing technologies that enable large language model (LLM) agents to negotiate and execute transactions effectively.

There is vast potential for AI agents to create new use cases within Bitcoin's transactional framework, representing significant opportunities for innovation.

Recent upgrades to Bitcoin, such as Taproot and SegWit, enhance its transactional complexity, allowing for greater functionality that could be leveraged by AI agents.

Degraded multisignature transactions enabled by Taproot illustrate how AI agents could optimize transaction schemes, adapting over time to changing conditions.

For Bitcoin to achieve widespread adoption, second and third-layer protocols like the Lightning Network and Fedimints are essential to facilitate transactions at scale.

Bitcoin's unique governance model, which lacks a single creator or governing body, contributes to its trustless nature, distinguishing it from other cryptocurrencies.

The fundamental characteristics of Bitcoin, including scarcity, predictability, and unchangeability, position it as a superior store of value, attracting substantial capital.

Bitcoin's market cap is projected to grow significantly, potentially competing with traditional assets like gold, bonds, and real estate in the coming decade.

A collective effort from the Bitcoin community is necessary to ensure that AI agents adopt Bitcoin as their primary currency, preserving its integrity as a secure monetary system.