Monday 30 March 2026Afternoon Edition

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Startups & Funding

Robotics and Semiconductor Startups Quietly Led February Unicorn Class While AI Labs Grabbed Headlines

27 new billion-dollar companies joined the board as OpenAI hit $840 billion valuation

Zotpaper2 min read
While OpenAI's record-shattering $110 billion raise at an $840 billion valuation dominated February headlines, it was hardware startups — six robotics companies and four semiconductor firms — that added the most new unicorns to the Crunchbase Unicorn Board last month.

A total of 27 companies crossed the billion-dollar threshold in February, with robotics and semiconductors accounting for ten of them. Healthcare minted three new unicorns, while foundation AI, cloud services, aerospace, and financial services each contributed two.

The US dominated with 19 new unicorns, followed by China with four, the UK with two, and India and Germany each adding one. The geographic distribution continues to reflect the concentration of venture capital in American tech hubs.

Overall unicorn valuations soared, driven by the AI frontier labs. Anthropic raised $30 billion at a $380 billion valuation, making it the fourth-largest private company. Waymo was valued at $126 billion, placing it among the top ten.

But the real story may be in the hardware layer. The surge in robotics unicorns signals growing investor confidence that physical AI is ready to move from research labs to commercial deployment. Similarly, the semiconductor boom reflects continued demand for specialised chips to power AI workloads.

Analysis

Why This Matters

The shift toward hardware unicorns suggests the AI boom is maturing beyond pure software into physical-world applications. Robotics and chips are the infrastructure layer that makes AI useful.

Background

The unicorn market has been heavily skewed toward AI software companies since 2023. February's hardware emphasis marks a potential inflection point.

Key Perspectives

Investors appear to be betting that the next wave of value creation comes from deploying AI in the physical world — manufacturing, logistics, healthcare, and agriculture.

What to Watch

Whether the robotics unicorn trend accelerates through Q1 2026 and which companies move from prototype to commercial scale first.