Humane partners with US AI startups like Grok by deploying their hardware in Saudi data centers. This gives the startup immediate global reach, while the startup's cloud entity manages the service to ensure U.S. compliance. This creates a win-win for revenue share and global distribution.
Stripe data shows the median top AI company operates in 55 countries by its first year, double the rate of SaaS companies from three years prior. This borderless nature from day one requires financial infrastructure that can immediately support global payment methods and compliance.
Instead of bearing the full cost and risk of building new AI data centers, large cloud providers like Microsoft use CoreWeave for 'overflow' compute. This allows them to meet surges in customer demand without committing capital to assets that depreciate quickly and may become competitors' infrastructure in the long run.
Beyond the US and China, Saudi Arabia is positioned to become the third-largest AI infrastructure country. The national strategy leverages its abundance of land and power not just for oil exports, but to lead the world in "energy exports via tokens," effectively selling compute power globally.
The partnership where OpenAI becomes an equity holder in Thrive Holdings suggests a new go-to-market model. Instead of tech firms pushing general AI 'outside-in,' this 'inside-out' approach embeds AI development within established industry operators to build, test, and improve domain-specific models with real-world feedback loops.
Humane was founded after its CEO discovered it took oil giant Aramco nine months just to procure and deploy AI infrastructure. This massive delay, even for a well-resourced company, highlighted the foundational opportunity to build a national AI champion and regional digital hub for the Middle East.
Humane developed a foundational model from scratch trained on proprietary Arabic data. The primary goals were not to compete with global leaders, but to understand cultural nuances, address language biases, and, most importantly, train the internal team on building the entire AI stack from the ground up.
xAI's 500-megawatt data center in Saudi Arabia likely isn't just for running its own models. It's a strategic move for Musk to enter the lucrative data center market, leveraging his expertise in large-scale infrastructure and capitalizing on cheap, co-located energy sources.
OpenAI CEO Sam Altman's move to partner with a rocket company is a strategic play to solve the growing energy, water, and political problems of massive, earth-based data centers. Moving AI compute to space could bypass these terrestrial limitations, despite public skepticism.
Anthropic is making its models available on AWS, Azure, and Google Cloud. This multi-cloud approach is a deliberate business strategy to position itself as a neutral infrastructure provider. Unlike competitors who might build competing apps, this signals to customers that Anthropic aims to be a partner, not a competitor.
The astronomical power and cooling needs of AI are pushing major players like SpaceX, Amazon, and Google toward space-based data centers. These leverage constant, intense solar power and near-absolute zero temperatures for cooling, solving the biggest physical limitations of scaling AI on Earth.