U.S. artificial intelligence startups are capturing a significant portion of venture funding across all investment stages, but the allocation is far from even. A Crunchbase analysis of stage-labeled rounds in artificial intelligence-related categories reveals that nearly 50% of overall venture capital raised over the past year went to these startups. Most notably, late-stage artificial intelligence companies secured the lion´s share, accounting for approximately 61% of venture deals connected to the sector.
In comparison, early-stage artificial intelligence startup funding comprised just 30% of the total, while the seed stage accounted for 38%. The methodology focused on labeled rounds from Series A through Series J, intentionally omitting many corporate and undisclosed-stage venture rounds. As a result, landmark deals such as OpenAI´s multi-billion financing round—backed by SoftBank and announced in March—were excluded from the dataset. Nevertheless, sizable deals still prominently featured in the results, including Databricks’ mammoth Series J in December, xAI’s substantial financing in November, and Anthropic’s multi-billion raise in March.
The report challenges assumptions about what a late-stage funding skew means in the context of artificial intelligence innovation. Traditionally, a preponderance of funding at later stages signals sector maturity, as was the case with autonomous driving, logistics, and online banking. However, in artificial intelligence, the trend is also attributed to the capital-intensive requirements for scaling leading startups. Although the platform pipeline is progressing, early-stage investors remain highly active and focused within artificial intelligence, especially in areas such as agentic artificial intelligence models and healthcare applications. The relatively lower share at early and seed stages may, in fact, indicate enhanced capital efficiency for new ventures, but it remains to be seen if this trend persists as more startups mature and scale.
