The global humanoid robot industry has developed rapidly, with progress to date indicating a shift from research and pilot programs to large-scale production by 2026. Late 2025 will begin this transformation as pioneering companies roll out initial deployments. Physical AI, also called embodied AI, is an emerging field that integrates AI with physical systems—such as robots, vehicles, or devices—to enable them to perceive, interact with, and act upon the real world in intelligent, adaptive ways. By 2026, physical AI is expected to proliferate through direct sales or leasing of humanoid robots, fundamentally reshaping industries, homes, and economic landscapes. Humanoid robots are poised to become mainstream, experiencing growth rates akin to adopting personal computing, electric vehicles, and smartphones.
Imagine general-purpose humanoid robots assembling cars precisely, organizing your pantry, or assisting your child with algebra homework—all powered by physical AI. Unlike today’s AI, which thrives in virtual applications like chatbots and data analysis, physical AI integrates reasoning, dexterity, and real-time adaptability into human-like machines. By embedding AI into robotic systems, these machines can analyze data in real-time, learn from their environments, and make informed decisions without human intervention. This aptitude is particularly valuable in dynamic and unpredictable settings where traditional programming falls short. For example, Jetson Thor is the computing platform for NVIDIA’s push into embodied AI, aiming to accelerate humanoid robot development. It supports NVIDIA’s Project GR00T’s goal of creating general-purpose robots that learn from human observation and adapt to diverse environments. This capability enables robots to interact with the physical world in ways previously confined to science fiction, promising to accelerate economic growth and productivity while raising profound ethical and safety concerns, such as data privacy and job displacement.
Humanoid robot pioneers such as Tesla (Optimus), Figure AI, Apptronik (Apollo robot), and Agility Robotics are preparing to commercialize physical AI-powered robots starting in late 2025. Goldman Sachs projects global shipments of 50,000–100,000 units in 2026, with unit economics ultimately improving to $15,000–$20,000 per robot. This marginal cost reduction is made possible by cheaper sensors, processors, actuators, and scalable manufacturing techniques. By 2035, millions of units could be shipped annually, reflecting a compound annual growth rate exceeding 50%. Industry estimates suggest a total addressable market (TAM) of five billion units, driven by demographic shifts and labor force dynamics.
U.S. and Chinese innovators are targeting the $30 trillion global labor market, deploying robots with machine learning, computer vision, and advanced sensory systems. With swappable batteries lasting 4–8 hours, humanoid robots could operate nearly 24/7, autonomously optimizing supply chains, assembling intricate products, or repairing complex machinery. The International Federation of Robotics (IFR) predicts that adopting these machines could boost productivity by 20–30% in key industries by 2030. China plays a crucial role in this race, particularly as its working-age population is projected to decline by 70% by 2100, according to UN estimates. Xpeng, a major electric vehicle and robotics player, announced a $13.8 billion investment in humanoid robotics in early 2025, aiming to deploy thousands of factory units by 2027. Meanwhile, in the U.S., Apptronik’s collaboration with Jabil, a global contract manufacturing firm, has already produced prototypes that assemble other robots, a milestone Forbes called a “game-changer” in February 2025. Moreover, Google collaborates with Apptronik by merging DeepMind’s AI prowess with Apptronik’s Apollo robot’s robust hardware, aiming to redefine humanoid robotics. Lastly, Microsoft-backed humanoid robot maker Figure recently announced BotQ, a new manufacturing plant in Austin, Texas, with an initial capacity of 12,000 humanoid robots per year, designed to scale to 100,000 units annually.
Households will also experience this revolution in 2026. Robots like 1X Robotics’ NEO Gamma will unload grocery deliveries, fold laundry, or even cook dinner. Humanoid robots will be able to optimize household tasks and handle repetitive chores freeing up hours for family members. Robots could tutor kids, teach languages, or demonstrate crafts using AI models. Moreover, imagine a robot assisting an elderly person with mobility, medication reminders, or lifting heavy items, thus alleviating pressure on healthcare systems. Mass production of actuators and generative AI models will drive adoption, with consumer spending on such technology potentially injecting $50–100 billion annually into the U.S. economy by 2030, according to McKinsey. This shift will have a ripple effect across retail, hospitality, and elder caregiving, where labor shortages have intensified since the pandemic.
However, this milestone in efficiency and productivity boost comes at a cost. Repetitive manual jobs could shrink by 10–15% globally within a decade, according to IFR estimates, putting downward pressure on wages in low-skill roles like packaging and assembly. At the same time, demand will soar for technicians, software developers, and engineers to oversee these systems—jobs requiring specialized skills that displaced workers may struggle to acquire without robust support. Morgan Stanley estimates that around 75% of occupations could be impacted by humanoid robots, affecting 40% of U.S. employees. In theory, this equates to approximately 63 million humanoid units in the U.S. alone. While automation has historically driven efficiency and created new roles—such as mechanized farming or the rise of the internet, the speed of this shift may outpace society’s ability to adapt.
Low-skill workers in manufacturing, retail, and logistics face the greatest vulnerability, with Oxford Economics estimating that 20 million jobs could disappear globally by 2035 due to robotics and AI. Conversely, businesses will benefit from lower labor costs, reduced downtime, and higher margins, boosting corporate profits and enabling hiring in other business segments. Robotics can also help address global demographic challenges, such as declining fertility rates and aging workforces. By automating undesirable, dangerous, or low-wage tasks, companies can reduce workplace injuries and enhance efficiency while alleviating labor shortages.
Privacy and data security present another major concern. Unlike static smart devices, humanoid robots equipped with cameras, microphones, and autonomous mobility could collect vast amounts of personal data—daily routines, conversations, even biometric patterns. This raises the risk of breaches, corporate overreach, or misuse by bad actors. A hacked robot could become a surveillance tool or a physical threat, a concern CIO Magazine highlighted in February 2025 while profiling AI robotics advancements. Consider a robot recording a family argument or a robot leaking factory secret — scenarios that demand stringent safeguards. Regulatory gaps persist, with the U.S. lagging behind the EU’s AI Act, which has mandated transparency and consent for data-collecting devices since January 2025. Companies must implement encryption, user data opt-outs, and remote kill switches while governments establish global standards to ensure ethical deployment. Public trust will be crucial—according to a 2025 Pew survey, 63% of Americans worry about AI privacy risks, up from 55% in 2023. Therefore, addressing these concerns will be critical to humanoid robot adoption. Companies need to work with regulators to establish clear laws, ethical controls, and safety and privacy standards for humanoid robots in home and workplace environments.
From an investment perspective, the shift toward intelligent robotics presents a significant long-term opportunity. Companies leading the development and deployment of AI-driven robots are well-positioned for market leadership, offering robotic solutions that are not only efficient but also versatile as the world has been built for humans. Additionally, investment opportunities remain strong in supply chain component manufacturers as a comprehensive ecosystem takes shape. As demand for intelligent automation and scalable robotic solutions grows, investing in pioneering firms could yield high returns. Apart from exploring select VC opportunities in the private market, we manage a global AI & Robotics public equity portfolio to gain exposure to this long-term investment opportunity. In public markets, enthusiasm often outpaces reality. Therefore, when constructing our portfolio, we focus not only on a company’s involvement in AI and robotics but also on fundamental aspects such as valuations, earnings quality, and debt levels. Additionally, we aim for global diversification, recognizing that geopolitical factors may influence which companies emerge as leaders.
In conclusion, sparked by pilot programs in 2025, physical AI will establish humanoid robotics as a cornerstone of industry and daily life by 2026. This shift will drive GDP growth through productivity gains and consumer spending while reshaping labor markets—depressing low-skill wages but creating specialized roles. Policymakers must address these disparities through education, retraining, and regulation. Investors face a lucrative yet turbulent landscape, balancing growth against disruption risks. As physical AI powers the next generation of robots, 2026 will mark the dawn of a humanoid robotics era, setting the stage for a transformative decade with significant positive impacts on U.S. GDP growth and corporate profitability as unit labor costs decline.
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