Our plan involves scaling compute by raising $500 billion to build infrastructure in Abilene, Texas, which will support the training of advanced AI models.

The companies thriving in the AI space are addressing labor pools that are disappearing due to retirement or are difficult to fill, leading to strong demand and good economics.

The demand for data centers is increasing as more people want to use AI models, and we need to ensure we have enough infrastructure to support this demand.

AI can be utilized to train and skill workers, which is essential for ensuring that the average American feels the benefits of economic growth.

AI and robotics present new possibilities for bringing manufacturing back to America. We need to explore innovative approaches to ensure we can build complex industries domestically.

The first Stargate site being built in Abilene will represent about 10% of the initial commitment to the project, which is estimated at half a trillion dollars.

Crusoe's strategy involves building data centers in areas with abundant, low-cost, clean energy, such as Abilene, Texas, where there is a surplus of renewable energy.

If we can make permitting super fast, AI can support the process and help generate energy in remote areas by plugging in AI data centers next to energy sources.

There are numerous smaller-scale AI projects, such as those in agriculture and food production, that require a different approach than the traditional model of hiring large teams of engineers for development.