For many years, Silicon Valley had a tough time with hardware investments. However, a significant shift is happening as investors now funnel massive sums—tens of billions—into robotics, which are capable of performing real-world tasks.
A unique combination of factors has positioned robotics as one of the most promising areas in tech. As interest extends beyond chatbots, investors are drawn to the possibilities presented by advancements in affordable hardware, innovative AI models, labor shortages, and geopolitical competition, particularly with China. These aspects are driving a renewed focus on machines capable of executing manual labor.
According to PitchBook data, robotics and physical AI firms collected an impressive $33.4 billion globally in just the first half of this year. This figure surpasses the $28.7 billion raised throughout the entire previous year and represents a dramatic increase from under $5 billion in 2020.
Big checks are being written to finance both the robots themselves and the underlying AI technology. For instance, defense tech company Anduril secured $5 billion in May, with heavyweights Thrive Capital and Andreessen Horowitz leading the round. Saronic, an autonomous shipbuilding company, raised $1.75 billion in March, with guidance from Kleiner Perkins. Skild AI, developing software for various robotic applications, raised $1.4 billion in January, also led by SoftBank, while Physical Intelligence attracted nearly $1 billion in May, co-led by Leopold Aschenbrenner's firm and Lux Capital.
Ken Goldberg, a robotics professor at UC Berkeley and cofounder of Ambi Robotics, expressed his astonishment to Business Insider: "This is unprecedented. In my 45 years in the field, I've never seen this level of funding, energy, and excitement in robotics."
The article marks the debut of "Robonomics," a series by Business Insider that explores the burgeoning world of robotics and their influence on industries, jobs, and everyday life. The series aims to delve into environments where humans and robots collaborate, meet the innovators and laborers involved in this surge, and evaluate how this technology is transforming sectors ranging from manufacturing to defense. There will also be discussions about the integration of robots into daily life and the hurdles that remain.
The potential rewards are massive. Unlike software, which is primarily digital, robotics target physical tasks in diverse settings—from factories and construction sites to household helpers. Nvidia's CEO Jensen Huang, a vocal advocate for "physical AI," notes that robotics offer the tech sector its first chance to tap into a $50 trillion market that has seen little technological advancement until recently. Numerous former Nvidia employees have taken the plunge into launching their own robotics ventures.
However, investors are valuing many startups as if the robot revolution is already a reality. Some companies still in early development are reaching multibillion-dollar valuations despite minimal revenue and limited product launches. Figure AI, a humanoid robot manufacturer, achieved a $39 billion valuation last year, even as its deployments are confined to small-scale factory tests.
"Robotics will progress, but not without significant financial loss along the way," cautioned Sarah Guo, founder of the venture firm Conviction, which invests in robotics companies like Sunday Robotics and Watney. "Both of those outcomes are likely."
Robots have long existed in various forms, from assembly line machinery to household cleaning devices like Roombas. Historically, though, investors found it challenging to generate profit from these machines. The challenges stemmed from the high costs associated with building robots, integrating supply chains, and manufacturing machines designed for singular purposes. Why invest in robotics when a college dropout might create the next viral app?
Guo often warned fellow investors that robotics was a risky area with potential for long-term losses, stating, "The models didn't work; every robot was a delicate, single-function system crafted for specific tasks."
A few investors, like Ajay Agarwal from Bain Capital Ventures, took the risk during the early internet boom. He supported Kiva Systems in 2004, a pioneer in warehouse automation with mobile robots that transported products to workers. Bain provided continuous funding, as Kiva struggled to attract investment on Sand Hill Road. Ultimately, Amazon acquired Kiva for $775 million in 2012, with Bain being its sole institutional backer.
Nearly twenty years later, advancements in AI are altering the landscape. Improved machine learning capabilities enable robots to interpret their environment, make informed decisions, and learn new tasks. This evolution raises the potential for creating more adaptable machines rather than crafting unique robots for every single duty. Additionally, decreasing costs in computing and hardware enhance the financial viability of robotics.
Major players in Silicon Valley are now pursuing this vision. After raising $1.7 billion in July, Travis Kalanick's Atoms is focusing on automating food, mining, and transport sectors. Rivian CEO RJ Scaringe's Mind Robotics has attracted $900 million in 2023, while former Cruise CEO Kyle Vogt's The Bot Company has gathered at least $300 million in funding.
Big Tech firms and AI research labs are also eager to participate. OpenAI is hiring for robotics positions with enticing salaries of up to $500,000 annually. Meta acquired the robotics startup Assured Robot Intelligence in May and is experimenting with robots in its data centers. Google has invested in Apptronik, a humanoid robot company, and is collaborating with DeepMind on AI advancements for robotics. Meanwhile, Elon Musk is betting on Tesla's future with its Optimus humanoid robot.
Venture capital firms are allocating funds specifically for robotics as well. In August, Andreessen Horowitz raised $1.1 billion for its inaugural fund dedicated to the physical infrastructure of AI, including robotics.
Despite this surge in interest, seasoned robotics investors express concern. There are whispers about "hardware tourists"—investors drawn to the robotics market due to the AI buzz but oblivious to the challenges of creating reliable physical machines. Caution is warranted, as reflected in the autonomous vehicle investments of the 2010s that resulted in many failed startups as the technology proved far trickier and more costly to implement than anticipated. Presently, only a small number of well-financed companies have succeeded in presenting robotaxi services to consumers.
The robotics sector is fraught with its own challenges. Unlike large language models trained using extensive data sets from the internet, robots lack sufficient data to learn how to function in the physical world. Many startups are attempting to gather this data, but understanding what quantity is adequate remains elusive. Furthermore, even with advanced AI, the difficulties associated with manufacturing, maintaining, and deploying high-end hardware persist.
Charly Mwangi, a partner at VC firm Eclipse, described the landscape: "The most complicated aspect of physical AI is the physicality itself. The next few years will be challenging for the robotics sector as companies transition from research settings to actual deployments."
Speculative areas, such as humanoid and general-purpose robots, are receiving substantial investments. According to venture firm F-Prime, these were the two fastest-growing sectors in robotics last year. "You can't continually secure funding based on mere demonstrations," cautioned Sanjay Aggarwal, an F-Prime partner and coauthor of its annual robotics report. "I would be surprised if all these firms remain independent in the next two or three years."
Yet overall, some startups are transitioning into viable businesses. Field AI, working on an AI system that operates across multiple robots, has surpassed $100 million in revenue and contracts with over 30 customers in the construction, data center, and defense sectors. Similarly, Skild AI reported recently achieving $100 million in annual recurring revenue from more than 60 clients, with projects involving robots that assemble Nvidia's Blackwell chips alongside Foxconn and kitchen initiatives with Japan's Mitsui conglomerate.
As the robotics field stands on the brink of significant advancements, many believe transformative breakthroughs could enable machines to integrate into various aspects of the economy. Brad Porter, former head of Amazon Robotics and current leader of workplace robotics startup Cobot, suggests that major strides in dexterous manipulation—the ability for robots to handle objects with human-like deftness—are just around the corner.
"I see a 'ChatGPT moment' for robotics coming when we crack dexterous manipulation," stated Porter. "After that, there could be an explosion of robotic applications."
The critical question remains whether these groundbreaking developments will materialize swiftly enough to validate the heavy investments being made. At a recent Business Insider event, Menlo Ventures partner Matt Murphy highlighted robotics as a sector receiving considerable funding "before demonstrating significant traction." He cautioned that easy access to capital can lead to subpar performance by startups.
For investors, this presents a stark reality: the risk of encountering significant pitfalls is much higher.
