Global startup investment reached a record $510 billion in the first half of 2026, surpassing the $440 billion invested across all of 2025, according to Crunchbase and venture capital data released in early July 2026. Over 70% of H1 capital went to AI-focused companies. OpenAI and Anthropic together attracted $217 billion, accounting for 43% of all venture funding in the six-month period. Nearly 88% of AI-related capital, or $319 billion, went to US-headquartered companies.

The concentration of capital reflects the AI boom’s intensity. Money flowed toward foundation models, AI infrastructure, defense and autonomy, and vertical-specific AI tools with clear ROI. Early-stage startups struggled to raise, while companies with proven AI products and defense contracts found investors aggressive and funding easy to obtain.

OpenAI and Anthropic Dominate

OpenAI finalized a $110 billion funding round at a $730 billion post-money valuation in May 2026. Anthropic raised capital at valuations approaching $50 billion. These two companies alone account for more capital than most countries spend on R&D annually. The concentration signals that investors believe frontier AI development requires massive capital, and only a handful of labs can compete at that scale.

Other major funding rounds included Together AI raising $800 million in Series C, TwelveLabs closing $100 million Series B, and Shield AI securing $1.5 billion in Series G at a $12.7 billion valuation. These companies represent the infrastructure and application layer below the foundation model leaders.

Where Capital Flows

Venture capital showed clear preferences. Defense tech, with immediate Pentagon budgets and urgent needs, attracted significant funding. Enterprise software with embedded AI—sales tools, customer service automation, document analysis—got backed aggressively. Companies offering foundation models to specific verticals, like legal or financial services, found receptive investors.

What didn’t get funded: generalist AI assistants competing with OpenAI or Anthropic, and services without clear ROI or customer demand. The $510 billion figure masks significant disparity in capital access. A few hundred companies got the vast majority of funding. Thousands of AI startups remained unfunded.

Geographic Concentration

The US dominance reflected both capital availability and investor confidence in American frontier AI labs. Europe and Asia saw solid funding activity, but nowhere approached US levels. China’s startup ecosystem faced regulatory headwinds that slowed capital deployment. India and Southeast Asia saw growth but at smaller scale.

Capital concentration in the US also reflected founder and talent location. Most frontier AI talent clustered in San Francisco, Boston, and New York. VCs followed talent, creating self-reinforcing regional advantages. The trend suggests AI development will remain geographically concentrated, at least through the end of the decade.

$510 billion in six months represents an absurd amount of capital chasing a relatively small number of proven product-market fits. The money will eventually prove partly wasted. But in the moment, investors believe AI infrastructure and applications represent the defining investment opportunity of the generation.