AI Capital Torrent: Venture Funding Enters a "Unipolar" Phase in 2025

Entering 2025, artificial intelligence (AI) has exerted unprecedented pull on venture capital (VC). According to statistics, VC investment in AI startups has reached approximately $192.7 billion this year, accounting for more than half of total global venture investment and becoming the largest concentration point for capital flows. Observers view this as a clear signal that, after the internet and mobile internet waves, capital is again heavily concentrating on a single technological trend.

This concentration is not an isolated phenomenon. From a broader perspective, AI has steadily consolidated its dominance across 2025 quarters. An EY report noted that a single AI financing in Q1 2025 worth about $40 billion lifted overall VC figures, pushing that quarter’s fundraising to a record high.

In first-half statistics, AI-related deals already accounted for more than half of total deal value.

Against this backdrop, a widely circulated headline emerged: year-to-date in 2025, media tallies indicate AI startups have drawn roughly $192.7 billion in venture capital, representing 52.5% of the global VC pool — meaning AI has for the first time captured half of venture capital allocations.

The United States is particularly prominent: media reports show that in Q3 2025 AI deals accounted for 62.7% of domestic investment. This reflects capital’s further focus and bet on the AI wave.

Structural Shifts and Driving Factors Behind the Capital Rush

Capital Structure Tilting Toward the Top

Although overall AI investment keeps climbing, capital distribution is becoming increasingly concentrated in a small number of top-tier projects. Crunchbase data shows that in the first half of 2025, a handful of rounds exceeding $1 billion absorbed a disproportionate share of funding.

In other words, small and mid-sized projects face difficulty attracting large-scale capital, prompting VCs to be more selective.

Some reports note that if one major AI financing (for example, a $40 billion round) were excluded, Q1 would have seen a significant drop in aggregate funding.

This "single-deal-driven" characteristic suggests current capital enthusiasm relies heavily on a top‑heavy effect.

Infrastructure Spending and the Compute Wars

The compute costs for training and inference of AI models far exceed those for traditional software projects, becoming an unavoidable factor for investors and startups. Major companies and capital are stepping up infrastructure investments.

For example, CoreWeave signed a $14.2 billion infrastructure cooperation agreement with Meta to provide cloud computing capacity and GPU resources over coming years.

CoreWeave has long been regarded as a key operator in the AI infrastructure space.

More aggressively, Nvidia reportedly plans to invest up to $100 billion in OpenAI (including hardware supply commitments) to lock in a core position in the AI infrastructure supply chain. The move is seen by the industry as both a commercial play and a strategic maneuver.

Industry Penetration and Application-Driven Funding

While infrastructure and general-purpose models continue to attract capital, an increasing share of funding is flowing into vertical industry applications, especially in healthcare, finance, manufacturing and automation.

In healthcare AI, for example, first‑half 2025 financing in the health sector reached about $6.4 billion, with AI-driven startups accounting for 62% of that total.

Multiple companies in the sector completed mega-rounds aiming to provide clinical decision support, care-process optimization, and medical imaging solutions.

Financing reports also indicate AI platform projects (such as foundational models and general tools) dominate by funding amount, while v