The U.S. artificial intelligence sector continued its robust growth trajectory in 2025, with 55 startups securing funding rounds of $100 million or more, according to TechCrunch data. This follows a strong 2024, which saw 49 companies achieve similar funding milestones.

While the number of billion-dollar rounds decreased slightly from seven in 2024 to four in 2025 (all secured by Anthropic, with two rounds), a notable shift occurred in the frequency of multiple large funding rounds. In 2025, eight companies secured more than one round exceeding $100 million, compared to only three in the previous year, indicating a deeper level of investor confidence in a select group of AI ventures.

The influx of capital underscores the sustained investor appetite for AI technologies across various applications. These investments are fueling innovation in areas ranging from AI infrastructure to specialized AI applications, impacting sectors like healthcare, finance, and autonomous systems. The significant funding rounds enable these startups to scale their operations, accelerate research and development, and expand their market reach.

The AI industry's momentum appears poised to continue into 2026. Early indicators include Elon Musk's xAI announcing a $20 billion Series E round and Sam Altman's brain-computer interface startup, Merge Labs, raising a $250 million seed round led by OpenAI. These developments suggest that investors remain bullish on the long-term potential of AI and related technologies.

One notable example from 2025 is Austin, Texas-based Mythic, a company focused on developing power-efficient compute solutions for AI applications. Mythic secured a $125 million venture round led by DCVC in December. The round, which included participation from SoftBank, NEA, and Linse Capital, highlights the growing demand for specialized hardware that can efficiently handle the computational demands of AI models. Mythic's technology aims to address the energy consumption challenges associated with AI, potentially enabling broader deployment of AI in edge computing and other resource-constrained environments.

Looking ahead, the AI landscape remains dynamic and competitive. The ability of startups to attract and retain talent, navigate regulatory hurdles, and demonstrate tangible business value will be crucial for sustained success. While the early months of 2026 point to continued growth, the industry's long-term trajectory will depend on factors such as technological advancements, evolving market dynamics, and the broader economic climate. TechCrunch will continue to monitor these trends and provide in-depth analysis of the AI sector's evolution.