AI-Native

AI-native companies have artificial intelligence and machine learning as fundamental components of their product, not just features bolted on. This includes foundation model companies, AI infrastructure providers, and vertical AI applications. The AI wave represents one of the largest platform shifts in technology history.

Companies52

Total Funding$34.6B

Avg Value$41.0B

Markets1

Criteria

AI/ML is core to the product
Significant R&D investment in AI
AI-related market positioning
Technical team with ML expertise

Implications for Investors

Riding the largest tech platform shift since mobile
High compute costs may affect margins
Rapid competitive landscape changes
Regulatory environment evolving

Market Distribution

AI / ML52

Value Distribution

<$100M25
$100M-$500M11
$500M-$1B3
$1B-$10B9
$10B+3

Frequently Asked Questions

What makes a company "AI-native" vs "AI-enabled"?

AI-native companies couldn't exist without AI — it's their core technology (e.g., Anthropic, OpenAI). AI-enabled companies use AI to enhance existing products (e.g., adding AI features to a CRM). AI-native companies typically have deeper moats.

What are the risks of investing in AI companies?

Key risks include: high compute costs eroding margins, rapid commoditization of AI capabilities, regulatory uncertainty, concentration risk in GPU supply, and the possibility that large incumbents (Google, Microsoft) capture most of the value.

What AI sub-sectors are most promising?

As of 2025, the most promising areas include: vertical AI applications (healthcare, legal, finance), AI infrastructure and tooling, AI agents and automation, and enterprise AI deployment platforms.