Agility Robotics went public in the US on Thursday through a merger with a special purpose acquisition company, raising about $465 million to expand production and deployment of its Digit bipedal robot. The listing gives the company capital to grow, but CEO Peggy Johnson must now show that customer demand can translate into recurring revenue and cover the costs of manufacturing and operating the robots. Shares, trading under the ticker AGLT, closed Friday at $9.90, down nearly 14% from Thursday’s close, amid increased market volatility following the US midterm elections.
Johnson, 65, began her career as an engineer in 1985 and later held senior roles at Qualcomm, Microsoft and augmented-reality company Magic Leap. She has described her strength as taking early-stage technology toward commercialization. At Agility, the task is to move humanoid robots beyond trials and limited deployments to a repeatable business.
Can IPO proceeds support broader deployment?
Based in Oregon, Agility designed Digit for work in warehouses and factories. Its robots are operating at nine customer facilities, including sites run by Amazon, Toyota and logistics company GXO. Agility has also disclosed an order for 1,000 robots worth more than $300 million from a customer with a financial relationship to the company.
The scale of current operations remains far smaller than the headline order value. Regulatory filings show that Agility generated just $1.8 million in revenue last year and recorded a net loss of $138.1 million. Investors will be watching whether the large order can be delivered as planned and converted into steady revenue, and whether the company can win business from additional customers.
Competition in humanoid robotics is intensifying, while the technology’s ability to perform real-world work at scale remains unproven. Rival Figure AI recently reached a valuation of $39 billion, while Apptronik was valued at about $5.5 billion. Both have attracted substantial investment and are testing robots with customers. Tesla has begun production of its Optimus robot at its Fremont factory. Johnson argues that Agility’s earlier experience with robots in operating environments can give it an advantage. Companies, she said, need automation now, and Agility has an opportunity to address practical problems.
Johnson’s track record spans Qualcomm and Microsoft
Johnson earned an electrical engineering degree from San Diego State University and started her career at General Electric. She joined Qualcomm in 1989, when the company was still developing, and spent 24 years there in engineering, sales and business development roles, eventually becoming executive vice president of global market development. She led the launch of the BREW mobile application platform, which supported more than $1 billion in app sales.
Former Qualcomm CEO Paul Jacobs has highlighted two deals that helped establish Johnson’s reputation in the industry: a 2002 agreement with Nextel involving push-to-talk-style phone technology, and Qualcomm’s 2010 sale of wireless spectrum to AT&T for $1.925 billion.
After Satya Nadella became Microsoft CEO in 2014, he asked Johnson to lead business development. During her six years at Microsoft, she helped advance the company’s $26.2 billion acquisition of LinkedIn and founded Microsoft’s venture-capital arm, M12, to strengthen ties with Silicon Valley startups. Nagaraj Kashyap, who worked with Johnson at both Qualcomm and Microsoft, has described her as giving team members considerable autonomy: she focused on hiring the right people and then letting them execute.
Johnson had long wanted to run a company herself. She became CEO of Magic Leap in 2020, steering the company further toward enterprise customers and overseeing the launch of a new headset. As interest in the metaverse cooled, Agility approached her. Founded in 2015 as an Oregon State University spinout, the company had spent nearly a decade developing robots. Johnson said she saw a machine that could already work and create value for real customers.
Digit’s unit economics remain a key test
Two years into Johnson’s tenure at Agility, a central question is whether the company can lower Digit’s cost as it scales production enough to deliver a measurable economic return for business customers. Company filings estimate the initial materials cost for the new Digit 5 at $150,000 per unit. Agility expects that figure to fall to $75,000 at annual production of 1,000 units and to $30,000 at 10,000 units.
Those targets depend on a substantial increase in output. Agility’s financial model also assumes a five-year robot life and a payback period of about 18 months under a “robotics-as-a-service” model. These are company assumptions, not results already achieved. Robotics analyst Michelle Sun has pointed to several challenges in making the economics of each robot work. For investors, higher production, lower costs and sustained customer payments must progress together; a shortfall in any one area could affect the path to profitability.
To broaden the range of industrial tasks Digit can perform, Agility recently opened a 60,000-square-foot engineering facility in Fremont, California, where it will train robots to acquire new skills. The company says it has collected 65,000 hours of commercial operating data and aims to use information from each deployment to improve the technology. Turning that data and engineering work into more tasks that robots can perform reliably will shape their usefulness in factories and warehouses, as well as customer acceptance.
Industrial customers are the near-term focus
Johnson sees labor shortages as a potential driver of automation among manufacturers and logistics companies. Citing a Deloitte study, she said US manufacturing could face 1.9 million unfilled positions by 2033. She also said Agility has a qualified pipeline of 30 companies. Commercial deployments are currently concentrated in industrial settings. Johnson can envision humanoid robots eventually entering homes, but does not expect that to happen within the next five years.
For Agility, the post-listing test is not simply whether it can raise capital or announce orders. It must expand production as planned, bring down Digit’s cost and keep the robots performing valuable work at customer sites. The company’s disclosed revenue, losses, order and cost targets provide measurable indicators of progress; whether scale can deliver profitability remains to be demonstrated in operating results.