The visual below shows exactly where 47 major AI companies compete across the 7-layer technology stack — from silicon chips at the bottom to AI agents at the top. This framework maps the complete competitive landscape, revealing who overlaps with whom and where the biggest gaps exist.

Google dominates by spanning all 7 layers, from custom TPU chips to Gemini models to cloud infrastructure. Only 3 companies achieve this full-stack presence, giving them massive competitive advantages through vertical integration.

The model layer shows the fiercest competition, with 12 major players clustered around large language models. OpenAI and Anthropic lead here but remain vulnerable — they control just 2 layers each while depending on others for compute and distribution.

NVIDIA and TSMC own the silicon foundation, powering 89% of AI training workloads between them. Apple sits in an interesting position with massive edge distribution through 1.8 billion devices but zero presence in AI models or cloud services.

Meta presents the biggest strategic puzzle — they’ve invested $30 billion in AI infrastructure and released Llama models for free, yet generate zero cloud revenue from their AI investments. Their strategy relies entirely on advertising monetization through their social platforms.

The visual reveals 5 distinct competitive clusters: cloud giants (Google, Microsoft, Amazon), model specialists (OpenAI, Anthropic), hardware kings (NVIDIA, AMD), consumer platforms (Apple, Meta), and emerging challengers spanning multiple categories.

Most telling is what the map shows about defensive positioning. Companies with presence in only 1-2 layers face existential risks as competitors integrate vertically and horizontally across the stack.

Which companies are best positioned to survive the next wave of AI consolidation, and where are the biggest opportunities for new entrants to break through?