AI-driven automation and collaborative robots: What investors should know

Collaborative robots: The rise of cobots

Collaborative robots—or cobots—are robotic systems engineered to work near or alongside humans in shared environments. Unlike traditional industrial robots, which are usually confined behind safety barriers, cobots are built with safety sensors, force limits, and adaptive software designed to support operation in shared spaces. They are often designed to be easier to program than traditional industrial robots and may take on lightweight, repetitive tasks, allowing human workers to focus on more complex work.

This category may expand access to automation across sectors where cost, space or technical barriers have previously limited adoption. Small and mid-sized manufacturers are integrating cobots into existing workflows without costly redesigns. In healthcare, cobots assist with lab automation and rehabilitation. Logistics centres, food processors, and electronics producers are using cobots to improve throughput and address persistent labour shortages.

With their focus on flexibility, safety features, and ease of deployment, cobots are a segment investors may research within emerging robotics technologies, particularly for companies that need automation that fits into existing workflows.

AI-driven automation and industrial transformation

Artificial intelligence has become an important differentiator in many modern robotics applications. While earlier robotic systems often followed fixed programming, some newer systems use AI to respond to real-time inputs, learn from data and operate with greater autonomy. This can allow machines to support tasks that previously required more human judgement or manual intervention.

The impact is visible across multiple sectors:

• In aerospace, AI-enabled systems can support predictive maintenance by helping identify signs of potential equipment issues before failures occur.
• Semiconductor manufacturing is using AI-driven vision systems to detect microscopic defects on production lines.
• In commercial real estate, robots may support cleaning routines, monitoring or security-related tasks, depending on the building, system and operating model.
• In logistics, AI platforms optimise warehouse workflows and guide mobile robots for faster, more accurate order fulfilment.

These applications show how AI-driven automation can increase precision, lower error rates, and improve flexibility, although results depend on implementation, integration, costs and use case.

What are the key drivers behind robotics adoption?

Robotics adoption responds to operational and structural pressures. Below are the main forces accelerating deployment across various sectors:

Labour shortages and demographic shifts

Ageing populations and declining workforces are pushing companies to rethink how work gets done. In sectors like manufacturing, healthcare, and logistics, finding skilled workers has become more difficult. Robotics may offer a scalable way to help address these gaps, although implementation can involve costs, operational risks and safety considerations.

Productivity and cost efficiency

Robotics can support automation and optimisation. In some settings, automation may reduce errors, speed up production and enable longer operating hours. Lower labour costs, fewer accidents, and reduced downtime may translate into measurable gains where implementation is effective. These efficiencies may build over time as systems are refined, integrated and monitored.

Supply chain resilience and scalability

Robotics is becoming increasingly important for some logistics operations. In warehouses and distribution hubs, automated systems manage inventory, fulfilment, and sorting—even under tight labour conditions or seasonal surges. This flexibility can support supply chain continuity and more scalable operations.

Economic transformation and workforce evolution

Robotics can change how some businesses create value. By automating routine tasks, businesses may accelerate some workflows and redeploy employees toward higher-value activities, although outcomes depend on training, process design and adoption. This may support productivity, especially in regions facing demographic challenges.

Ways to research exposure to the robotics theme

Investors researching the robotics theme may gain exposure through individual stocks or ETFs linked to robotics, automation, and AI, subject to availability, costs, and risks.

Examples of listed companies with robotics-related exposure

Many listed companies have robotics-related exposure, ranging from industrial machinery and healthcare robotics to AI software, sensors and autonomous systems. Examples include, for illustration only and not as recommendations:

• Nvidia (NVDA). AI chips used in robotics and autonomous machines
• ABB (ABBN.Y). Industrial and collaborative robots
• Fanuc (6954.T). High-precision manufacturing robotics
• Intuitive Surgical (ISRG). Robotic-assisted surgery systems
• Rockwell Automation (ROK). Industrial automation and control systems
• UiPath (PATH). Software-based robotic process automation
• Teradyne (TER). Cobots and automated testing systems
• PTC (PTC). Connectivity and software platforms for smart machines
• Keyence (6861.T). Vision systems and sensors for automation
• Yaskawa Electric (6506.T). Motion control and factory robotics

These companies have different types of exposure, from AI infrastructure and sensors to manufacturing systems and surgical robotics. None should be treated as pure robotics exposure without checking revenue mix, valuation and business risk.

Examples of robotics, automation and AI-themed ETFs

For broader exposure, some investors research ETFs focused on robotics, automation and artificial intelligence, although thematic ETFs can still be concentrated, volatile and subject to fees. Holdings, methodology, currency, domicile and availability vary by fund, exchange and platform.

Examples (for illustration only and not as recommendations) include:

• Global X Robotics & Artificial Intelligence ETF (BOTZ)
• ROBO Global Robotics & Automation Index ETF (ROBO)
• VanEck Robotics ETF (IBOT)
• L&G ROBO Global Robotics and Automation UCITS ETF (ticker may vary by exchange)
• iShares Automation & Robotics UCITS ETF (RBOT/2B76, depending on listing)
• First Trust Nasdaq Artificial Intelligence and Robotics ETF (ROBT)
• ARK Autonomous Technology & Robotics ETF (ARKQ)
• Pacer BlueStar Engineering the Future ETF (BULD)
• ROBO Global Artificial Intelligence ETF (THNQ)
• Xtrackers Artificial Intelligence & Big Data UCITS ETF (XAIX)

Some of these funds focus more directly on robotics and automation, while others provide broader exposure to AI or automation. Investors should check each fund’s methodology, top holdings and concentration before treating it as robotics exposure.

Key risks of robotics investing

Robotics may offer long-term potential but investing in the sector requires careful consideration of financial, operational, and policy-related risks.

Key risks include:

Capital intensity and commercial delays

Robotics development often requires heavy investment in R&D and hardware prototyping. Some companies face long timelines before reaching profitability. Delays in commercial rollout, unexpected cost overruns, or technical bottlenecks can erode early gains and stall adoption cycles.

Technological disruption and obsolescence

The pace of innovation in robotics can be rapid. AI models evolve, hardware can become outdated, and new entrants can change the competitive landscape. Companies that fail to adapt may fall behind, which can affect revenue growth, margins and investor returns.

Hype cycles and valuation risk

Investor enthusiasm around robotics and automation themes has led to inflated valuations in some segments. Stocks tied to emerging technologies can be volatile and sensitive to earnings misses, regulatory news, or broader market sentiment. Understanding valuation risk is important because downside risk cannot be eliminated.

Regulatory friction and policy uncertainty

Robotics applications often intersect with sensitive areas such as healthcare, surveillance, and public infrastructure. Regulations vary widely across jurisdictions, and policy may lag behind technological capability. Export controls, liability frameworks, and safety certifications can all impact business models or limit market access.

Labour displacement and social pushback

As automation expands, concerns over job displacement and income inequality may fuel political or public resistance. This may slow adoption in sectors where labour displacement is a sensitive issue, including highly regulated, highly unionised or politically sensitive industries.

Robotics as an investment theme

Robotics is becoming relevant to how some industries respond to labour shortages, precision requirements, production bottlenecks and cost pressures. AI-enabled systems may expand what automation can do, but adoption depends on business need, safety, integration, regulation and return on investment.

For investors, robotics can provide exposure to themes such as industrial automation, healthcare technology, AI infrastructure, sensors, logistics and smart manufacturing. The route matters: individual stocks carry company-specific risk, while thematic ETFs can be concentrated and may include broader AI or automation exposure rather than pure robotics exposure.

The sector may remain relevant as companies seek productivity gains, but outcomes depend on valuation, execution, competition, policy, and technology risk. Robotics should therefore be assessed on fundamentals and portfolio fit, not solely on the technology's appeal.