Palantir makes software that gathers scattered data, often vast and poorly organized, to draw analyses from it and guide concrete decisions. Its tools serve to link information from multiple sources, spot patterns and propose actions, in fields ranging from military intelligence to industrial logistics. Its two main types of customers are governments, notably in defense and security, and large enterprises wanting to exploit their own data. The company sells neither hardware nor raw computing power: it sells the software layer that gives meaning to that data and increasingly serves to embed artificial-intelligence models into real operations. This positioning makes it a player in the application part, the one that puts artificial intelligence at the service of precise tasks.
Computing power and artificial-intelligence models are worth only what one does with them: they still have to be connected to an organization's real data and translated into decisions. It is that application work that Palantir occupies, providing the software layer that links data, models and operations. Its strength is an entrenched position with defense and security governments, long-term contracts hard to dislodge, and rare expertise on sensitive data at scale. Its fragility rests on three points. First, heavy dependence on public budgets, notably defense, sensitive to political cycles. Second, a very high stock valuation, which assumes rapid, sustained growth to be justified and makes the share vulnerable to any slowdown. Third, recurring debates over the use of its tools, exposing the company to reputational and regulatory risk. The real trajectory of its growth and the solidity of its new commercial contracts should be verified before acting.
Palantir holds an application link in the Compute Economy: the software layer that turns data and AI models into decisions. Its strength is an entrenched defense position and durable contracts; its fragility is dependence on public budgets, a very high valuation and debates over the use of its tools. Verify before acting.
Everything you need to know about NeonBridge and the compute economy.
Oil powered the 20th century. Compute powers the 21st. Every time an AI model runs or a Bitcoin block is mined, it takes energy, chips, data centers, and cloud infrastructure to make it happen. The companies building all of that form the compute economy. NeonBridge tracks 200+ of them across 7 categories.
Just like oil or electricity, compute is a raw resource that every industry needs. AI models can't train without GPU cycles. Bitcoin can't exist without hashrate. As demand grows, the companies that produce, store, and distribute compute become critical infrastructure. That makes compute the defining commodity of this century.
AI and Bitcoin are not two separate topics. They are two expressions of the same industrial revolution. AI transforms compute into intelligence. Bitcoin transforms compute into verifiable scarcity. Both need the same physical foundations: energy, chips, and data centers. That is why NeonBridge tracks them together, as one economy.
Most companies in the tracker are publicly listed stocks you can buy through any brokerage account. We highlight EU-friendly brokers like Trade Republic, Interactive Brokers, DEGIRO, and Scalable Capital to help you get started. No crypto wallet needed for the equity side.
Like any sector, compute infrastructure carries risk. Chip supply chains can be disrupted by geopolitics. Energy costs fluctuate. AI regulation is evolving fast. Bitcoin mining profitability depends on network difficulty and price cycles. Diversifying across the 7 categories of the compute economy helps reduce exposure to any single risk.
Global AI compute capacity doubles every 6-7 months, fueled by explosive AI adoption outpacing historical trends, with contributions from Bitcoin mining infrastructure repurposing and autonomous systems. Governments worldwide have committed hundreds of billions to chip manufacturing and power infrastructure. This reflects an enduring industrial shift comparable to electrification.
