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Forget chatbots. Physical and embodied AI are now coming for your job
Forget chatbots. Physical and embodied AI are now coming for your job

Fast Company

time3 days ago

  • Business
  • Fast Company

Forget chatbots. Physical and embodied AI are now coming for your job

Amazon recently announced that it had deployed its one-millionth robot across its workforce since rolling out its first bot in 2012. The figure is astounding from a sheer numbers perspective, especially considering that we're talking about just one company. The one million bot number is all the more striking, though, since it took Amazon merely about a dozen years to achieve. It took the company nearly 30 years to build its current workforce of 1.5 million humans. At this rate, Amazon could soon 'employ' more bots than people. Other companies are likely to follow suit, and not just in factories. Robots will be increasingly deployed in a wide range of traditional blue-collar roles, including delivery, construction, and agriculture, as well as in white-collar spaces like retail and food services. This occupational versatility will not only stem from their physical designs—joints, gyroscopes, and motors—but also from the two burgeoning fields of artificial intelligence that power their 'brains': Physical AI and Embodied AI. Here's what you need to understand about each and how they differ from the generative AI that powers chatbots like ChatGPT. What is Physical AI? Physical AI refers to artificial intelligence that understands the physical properties of the real world and how these properties interact. As artificial intelligence leader Nvidia explains it, Physical AI is also known as 'generative physical AI' because it can analyze data about physical processes and generate insights or recommendations for actions that a person, government, or machine should take. In other words, Physical AI can reason about the physical world. This real-world reasoning ability has numerous applications. A Physical AI system receiving data from a rain sensor may be able to predict if a certain location will flood. It can make these predictions by reasoning about real-time weather data using its understanding of the physical properties of fluid dynamics, such as how water is absorbed or repelled by specific landscape features. Physical AI can also be used to build digital twins of environments and spaces, from an individual factory to an entire city. It can help determine the optimal floor placement for heavy manufacturing equipment, for example, by understanding the building's physical characteristics, such as the weight capacity of each floor based on its material composition. Or it can improve urban planning by analyzing things like traffic flows, how trees impact heat retention on streets, and how building heights affect sunlight distribution in neighborhoods. What is Embodied AI? Embodied AI refers to artificial intelligence that 'lives' inside ('embodies') a physical vessel that can move around and physically interact with the real world. Embodied AI can inhabit various objects, including smart vacuum cleaners, humanoid robots, and self-driving cars. Like Physical AI, Embodied AI can reason about physics, as well as how one object affects another. However, since Embodied AI literally 'embodies' a physical entity, such as a robot, it can also alter the real world around it, whether that be a robotic arm performing surgery, a humanoid bot working construction, or a self-driving truck transporting supplies from one location to another. Embodied AI has advanced capabilities due to the mobility of its physical body and, as Nvidia explains, additional sensors, which can include cameras or LiDAR, that enable it to perceive its surroundings. A real-time distinction It is worth noting that the terms 'Physical AI' and 'Embodied AI' are increasingly being used interchangeably to describe any AI that understands the physics and spatial relationships of the real world and uses that understanding to power the brains behind bots. However, most experts agree that Physical AI and Embodied AI are interrelated but distinct varieties of artificial intelligence. Henrik I. Christensen, an expert on robotics and AI and a professor of computer science at the University of California, San Diego, says that one distinguishing factor between the two is their real-time operational capabilities. 'Physical AI denotes systems that [infer things] related to the physical world, such as friction, elasticity,' Christensen told me via email. This kind of system 'may not operate in real time but has a detailed model of interaction in the physical world.' Embodied AI, on the other hand, 'denotes systems that operate in the physical world [and also] interact with objects in the real world, [so] they must operate in real-time,' Christensen says. This real-time requirement is essential for robots working in the real world. If a robot doesn't grab something as fast as it should, disaster can strike on the factory floor. He notes that Embodied AI systems often need to use simplified models to ensure they can 'provide an answer fast enough.' Will robots take all the jobs? LLM artificial intelligence systems that power ChatGPT, Claude, Llama, Grok, and others have long been seen as a threat to white-collar jobs, since they can reason about information and generate answers based on that information, much like a human can. However, because LLMs lack both a physical presence and an understanding of how physics affects objects in the real world, they have generally been seen as less of a threat to blue-collar jobs, which typically involve physical labor and an understanding of how objects interact in the real world. But Physical AI and Embodied AI systems change the blue-collar risk assessment. Physical AI systems now possess reasoning capabilities regarding physical interactions, and Embodied AI enables robots to apply that understanding in the real world. Yet, for now, at least, LLMs still pose a greater threat to white-collar jobs than Physical AI and Embodied AI do to blue-collar ones. This is because LLM technology is readily available and easily deployable across organizations at scale. While Physical AI systems could see nearly as speedy a rollout in the years ahead, Embodied AI systems face more hurdles due to the need to manufacture legions of robots capable of operating in real-world environments. However, as Amazon's one millionth robot rollout demonstrates, companies are increasingly interested in integrating more bots into the workforce, whether that's in the factory or in the kitchen flipping burgers. As for why? Well, to take a line from my own novel, Beautiful Shining People, 'bots never accidentally drop or damage things—not to mention they never get sick, or need days off, or give away free burgers to their friends.' In other words, Physical AI and Embodied AI-powered robots have the potential to save companies a significant amount on their biggest expense: labor. And they are sure to take advantage of it. The only question for me, then, is: When AI takes all our jobs, who will be left to buy the things these companies sell? The super-early-rate deadline for Fast Company's Most Innovative Companies Awards is Friday, July 25, at 11:59 p.m. PT. Apply today.

DNX Group Unveils the Next Frontier in Private Equity: Robotic Rental
DNX Group Unveils the Next Frontier in Private Equity: Robotic Rental

Yahoo

time4 days ago

  • Business
  • Yahoo

DNX Group Unveils the Next Frontier in Private Equity: Robotic Rental

Robots Do the Work, Humans Reap the Rewards. SHENZHEN, China, July 18, 2025 (GLOBE NEWSWIRE) -- As human labor becomes more expensive and less efficient, robots are taking over roles across entire value chains, from warehouse operations to on-site fabrication. The future is already here - with robots on course to disrupt every industry where hand labour is required. The automation of industries at scale means companies great and small need access to the latest robots to compete without destroying their balance sheet. While robot purchases are prohibitive to small and medium enterprises, DNX Group is pioneering this access through their newly-announced platform, built around the next big industry - robotic rental. DNX has 5,000 active robots deployed with clients across the globe - high-speed precision pick-and-place robots, ForgeX robots for heavy-duty tasks like welding, drilling and assembly, and advanced robotic arms with AI capabilities. These robots are rented to companies across sectors such manufacturing, agriculture, construction, and logistics. Each robot is leased out at an average of $50 USD per hour, and every single robot is fully utilized, as demand continues to surge. Through its user base, DNX funds the acquisition of these robots and distributes yield based on the rental fees it collects. 'We're not speculating on ideas. Our robots are already working, earning, and transforming industries,' said a DNX spokesperson. 'This is not about a moment — this is a movement.' The company's ownership includes a team of seasoned investors with over 50 years of combined experience. DNX is a first-mover in the robot rental space, and has captured a substantial user base who are currently earning yield on the existing fleet. With over 100,000 companies worldwide on the waiting list for robot deployment, the global appetite for automation has reached unprecedented levels. The numbers are impressive — robotic rentals are already delivering ROIs that can exceed that of traditional industries, while providing unparalleled stability and scalability to markets across the globe. While markets for speculative assets remain volatile, DNX group is providing an accessible investment path into robotics, which operates on real-world utility and contracts — offering users consistency, transparency, and long-term growth potential. The world is changing. Robots are doing the work. And humans — through DNX — are reaping the rewards. Contact: James Biton info@ Disclaimer This content is provided by DNX Group. The statements, views, and opinions expressed in this content are solely those of the content provider and do not necessarily reflect the views of this media platform or its publisher. We do not endorse, verify, or guarantee the accuracy, completeness, or reliability of any information presented. This content is for informational purposes only and should not be considered financial, investment, or business advice. All investments carry inherent risks, including the potential loss of capital. Readers are strongly encouraged to conduct their own due diligence and consult with a qualified financial advisor before making any investment decisions. Neither the media platform nor the publisher shall be held responsible for any inaccuracies, misrepresentations, or financial losses resulting from the use or reliance on the information in this press release. Speculate only with funds you can afford to lose. In the event of any legal claims or concerns regarding this article, we accept no liability or responsibility . Globenewswire does not endorse any content on this page. Legal Disclaimer: This media platform provides the content of this article on an "as-is" basis, without warranties or representations of any kind, express or implied. We assume no responsibility or liability for the accuracy, content, images, videos, licenses, completeness, legality, or reliability of the information contained herein. Any complaints, copyright issues, or inquiries regarding this article should be directed to the content provider listed above. A photo accompanying this announcement is available at

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