Mapping the AI Ecosystem — Who Builds What, and Why It Matters

The AI landscape in 2025 is not a single story — it's a network. Foundation models, cloud infrastructure, research labs, regulators, and application builders are all deeply interconnected, and understanding those connections is the key to understanding where the industry is headed.

The interactive graph below maps the major nodes in today's AI ecosystem. Drag nodes to rearrange the layout. Hover over any node to see what it connects to and why it matters. Click a node to pin the highlight.

A few patterns jump out immediately. GPU compute sits at the center of gravity — nearly every foundation model depends on it, which explains why NVIDIA's market cap rivals entire national GDPs. The cluster around enterprise applications shows how quickly the "model layer" is being abstracted away: most businesses don't care which model powers their copilot, they care that it works.

The regulation nodes are still loosely connected, reflecting reality. The EU AI Act is the most concrete framework, but its practical enforcement remains thin. US executive orders have been more about signaling than substance. This will change — and when it does, the tightest connections in this graph will shift.

Perhaps most interesting is the alignment research node's strong tie to Anthropic's Claude. Constitutional AI and RLHF-based safety research are no longer academic exercises — they're shipping in production systems used by millions. The question for 2026 is whether alignment scales as fast as capabilities.