AI Robotics Startup: Bold Claims, Little Revenue

Harrison BrooksFriday, Apr 11, 2025 2:12 am ET
2min read

In the fast-paced world of technology, startups often promise the moon and the stars, but few deliver on their lofty ambitions. One such startup, Figure AI, has set its sights on revolutionizing the robotics industry with a nearly $40 billion valuation. The pitch? Deploying over 200,000 humanoid robots across assembly lines and homes by 2029. But can this little-known startup deliver on its bold claims, or is it just another example of Silicon Valley's hype machine?



Figure AI's ambitious plans are not without precedent. Agility Robotics, another player in the humanoid robotics space, has been making waves with its flagship product, Digit. Founded by researchers from Oregon State University, Agility Robotics has leveraged years of research on dynamic bipedal movement to create a robot that can walk, crouch, carry objects, and operate safely around people. The company has already deployed some of its robots in warehouse facilities, including Amazon, and has plans for an "app store" model for robotics, allowing easy deployment of robotic solutions and user-generated apps.

But despite these impressive achievements, both Agility Robotics and Figure AI face significant challenges in scaling their solutions. For Agility Robotics, the technological hurdles of dynamic bipedal movement and software integration are daunting. The company has built RoboFab in Salem, Oregon, a facility focused on mass-producing Digit, but scaling manufacturing to meet high-demand markets in warehousing and logistics is no easy task.

Figure AI, on the other hand, has its own set of challenges. The company had no revenue last year and just a few dozen robots in production, according to documents shared with investors. Generating revenue and scaling production are critical operational challenges for Figure AI, which has signed BMW as its first commercial customer and predicts it will generate $9 billion in revenue by 2029.

The high valuations of Agility Robotics and Figure AI are driven by their innovative technology, strategic partnerships, investor confidence, future growth projections, and the overall trend of increasing investment in the AI and robotics sector. But these factors alone do not guarantee success. The AI and robotics sector has seen a boom in investment, with start-up funding more than doubling from $33.7 billion in 2020 to $74.6 billion in 2021. This trend continued with $47.3 billion in 2022 and $42.5 billion in 2023, indicating a robust market for innovative technologies.

However, the hype surrounding AI and robotics startups has also led to a reality check. Artificial Intelligence, and generative AI in particular, have come under fire for lacking a reliable control system for data security, transparency, and overall ethical implications, which greatly hinder its adoption over large scale—especially for business purposes. AI company’s governance, ethical practices and business model have come under fire recently, in what the New York Times called a reality check. In fact, aside from OpenAI which is raking in more and more revenue (although its profitability is still uncertain), household names in the AI space like Stability AI (of Stable Diffusion fame), and Inflection (the team behind the “first emotionally intelligent AI”) have gone through layoffs and resignations.

In conclusion, while Agility Robotics and Figure AI have made impressive strides in the field of humanoid robotics, they face significant challenges in scaling their solutions. The high valuations of these startups are driven by their innovative technology, strategic partnerships, investor confidence, future growth projections, and the overall trend of increasing investment in the AI and robotics sector. But these factors alone do not guarantee success. The hype surrounding AI and robotics startups has also led to a reality check, with ethical implications and governance failures coming to the forefront. As these startups continue to navigate the challenges of scaling their solutions, it remains to be seen whether they can deliver on their bold claims and live up to their high valuations.