A wearable robotic system, underpinned by quantum computing and artificial intelligence, is being developed by a startup founded by Geordie Rose, the creator of quantum computing firm D-Wave. The venture capital firm backing the project claims the device could enable a single human worker to accomplish the output of four people.
According to a patent application, the system, named Kindred, is designed as a 1.2-meter-tall humanoid, potentially covered in synthetic skin. It would feature a head-mounted display and an exosuit equipped with sensors and actuators, allowing it to carry out everyday tasks. The exterior has been compared to the fictional Doctor Octopus from Spider-Man, but the internal technology relies on quantum computation—a method of information processing and storage that is significantly faster and more powerful than conventional computing.
The suit is intended to learn from its user, and that data can be transferred to other robots, enabling them to perform tasks autonomously. This capability, while promising for efficiency, also raises concerns about the displacement of low-skilled workers, as businesses may be attracted to a tireless, repetitive worker that does not require wage increases.
Automation's Double-Edged Sword
Robotics and AI have already transformed daily life and work, but a study by Rice University computer scientist Moshe Vardi predicts that within three decades, machines could perform nearly any job a human can. While drones and other automated systems can handle hazardous materials, eliminating risks to human safety, the same technology could also replace workers in roles like bagging groceries or assisting retail customers.
The potential for widespread unemployment among low-skilled workers is a growing concern. Vardi's study poses a critical question: "If machines are capable of doing almost any work humans can do, what will humans do?" This question underscores the need for society to address the implications of automation before it becomes a reality.
The development of Kindred highlights the dual nature of technological progress—offering significant benefits in productivity and safety, while also challenging our economic and social structures. As this technology moves from patent to prototype, the balance between innovation and its societal impact remains a central issue.