2026 Robotics Update: The Physical AI Ecosystem

In our first article of the year, we spoke about how robotics was at the cusp of a period of rapid expansion. We’re now almost halfway through 2026 and everything continues to point in that direction. The prevailing narrative has shifted from conceptual prototypes to firm production timelines and commercial deployments. Robotics is now a mass scale industry driven by the convergence of advanced software, specialized hardware, and reshoring capital flows.A closer look at recent industry data provides a clear picture of this structural shift in action.The Evolution of Physical AIThe foundational shift in 2026 is the scaling of Physical AI. While prior years focused on language-based generative AI, the current cycle involves models built for spatial awareness and physical action. These models allow machines to process their 3D surroundings in real time and adapt to unpredictable tasks and novel scenarios. This newfound autonomy is pushing the robotics market far beyond rigid factory floors and into highly dynamic, real-world environments. Robot foundation models, or AI “brains” trained on broad data to handle perception and motor control across varied tasks, are scaling rapidly. For example, NVIDIA (NVDA*) has already announced its next-generation GR00T N2 robotics foundation model, building on the widely used GR00T N1.7, which is expected to appear later this year. We are seeing similar launches from emerging players like Generalist AI with its GEN-1 “brain in a box” platform, while AGIBOT recently unveiled its Embodied Foundation Model with similar third-party licensing intent. This model-as-a-service strategy is gaining rapid traction across the broader ecosystem. Skild AI and Physical Intelligence (pi0) are both building foundation models on massive datasets specifically to be licensed to third-party robotics companies. This widespread surge in development validates a critical shift: the intelligence layer of robotics is quickly becoming a highly scalable, competitive market in its own right. See more: The Rise of Physical AI & the Next Phase of AutomationTranslating AI Into Motion However, advanced software requires equally advanced hardware to execute its commands. As AI capabilities accelerate, capital expenditure has increased across the hardware spectrum. This growth is currently reflected in the balance sheets of both the original equipment manufacturers (OEMs) building the robots and the suppliers of their internal components. Recent earnings data illustrates the scale of this hardware adoption. For example, automation leader Teradyne (TER*) reported an 87% year-over-year revenue increase in Q1 2026, reaching $1.28 billion. A primary driver of this surge was the massive demand for AI-related chip testing. This confirms that the critical hardware layer required to run edge AI and autonomous systems is already scaling rapidly. This architecture relies on specialized suppliers. The intelligence is powered by edge-computing chips from firms like Ambarella (AMBA*), which process data locally to eliminate cloud latency. The spatial awareness is driven by 3D vision systems from companies like Cognex (CGNX*) and Keyence (6861*). Finally, the physical execution relies on companies like Harmonic Drive Systems (6324*) and Nabtesco (6268*), whose zero-backlash gears act as the precision joints allowing robots to move with dexterity alongside microcontrollers from companies like Microchip (MCHP*) to execute physical control actions, acting like a nervous system signalling to muscles. Macroeconomic Drivers & Industrial Capital ExpenditureBeyond technological advancements, the robotics industry continues to be boosted by macroeconomic tailwinds. As multinational corporations prioritize supply chain resilience and engage in reshoring initiatives, they are building new facilities in regions with higher labor costs and persistent workforce shortages. To maintain margins, these facilities are being designed from the ground up with automation as a core utility. The Spring 2026 earnings season provided concrete evidence of this capital flow. Automation giant ABB (ABBN) reported record Q1 2026 orders of $11.3 billion, representing a 24% year-over-year increase, alongside an 11% bump in revenues. This is one example of many that demonstrates how global industrial players are executing massive, real-world capital expenditures on automated infrastructure.  The financial impact is equally evident in the logistics and supply chain sectors. Symbotic (SYM), a leader in AI-enabled robotics technology for warehouses, recently reported a 23% year-over-year revenue increase to $676 million for its most recent quarter, noting that its total number of automated systems in deployment had risen to 70. Similarly, industrial robotics leader Fanuc (6954) closed out its fiscal year in April 2026 reporting a nearly 13% improvement in earnings and robust profit margins, reflecting sustained demand for factory automation.Tracking the EcosystemFor the ROBO Global Robotics and Automation Index (ROBO B), the ongoing evolution of Physical AI and hardware is a major tailwind. This convergence expands the total addressable market (TAM) into unserved verticals while multiplying the demand for core components. The ROBO strategy is purpose-built to capitalize on this exact dynamic. Navigating such a rapidly shifting landscape requires deep domain expertise. Guided by a board of world-renowned robotics pioneers, ROBO looks beyond recognizable large-cap names to evaluate the entire ecosystem. This specialized insight allows the strategy to actively identify both the developers bringing physical AI to life and the “picks and shovels” component makers. By mapping the full spectrum from internal parts to final end-products, the index positions itself to capture growth. Regardless of whether it’s factory floor, the warehouse, or humanoid applications to scale first. See more: From the Factory Floor: 6 Robotics Stocks to KnowLooking AheadThe Cambrian explosion of the robotics industry is well underway, with 2026 defined by integration. The timeline for broad commercial deployment is accelerating rapidly. Driving the momentum is the convergence of Physical AI, advanced sensory hardware, and precision engineering. All of these factors are meeting a massive macroeconomic demand for automated labor. Recent earnings data prove that this growth has moved past conceptual forecasts and is actively showing up on corporate balance sheets. As the sector scales, both the manufacturers building the systems and the component suppliers providing the building blocks remain positioned at the center of the industry’s growth. Denotes a constituent of the ROBO Global Robotics and Automation Index as of Q1 2026.  ROBO is the underlying index for the ROBO Global Robotics & Automation ETF (ROBO), the L&G ROBO Global Robotics and Automation UCITS ETF (ROBO.LN), and the Global X ROBO Global Robotics & Automation ETF (ROBO.AU).Related ResearchThe Cambrian Explosion Moment for Robotics Is Now Purpose-Built Humanoids for Specific Jobs Robots: AI’s Real-World Champions Looking for regular updates? Subscribe here for weekly insights on robotics, AI, and healthcare technology, delivered straight to your inbox. 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