The Robotics Resurgence: Why Now Is Different
November 21, 2025 EST

After a challenging period from 2022 to 2024, robotics and automation investments are demonstrating renewed strength, outperforming major technology indices and approaching, but not yet reaching, previous peak valuations from 2021.

This recovery is not simply a rebound from oversold levels but reflects fundamental changes in the global manufacturing landscape and accelerating adoption of automation technologies.

A Recovery Built on Fundamentals

The robotics sector's recent performance marks an important inflection point. Unlike the 2021 peak, which occurred amid broad market exuberance and multiple expansion across growth sectors, the current rally is supported by tangible business trends and improving fundamentals.

Several key factors distinguish this recovery from the previous cycle:

  • Reshoring and Supply Chain Diversification: Geopolitical tensions and supply chain disruptions have accelerated the reshoring of manufacturing capacity to the United States and other Western markets. According to the Reshoring Initiative's 2024 Annual Report, 244,000 U.S. manufacturing jobs were announced in 2024 via reshoring and foreign direct investment, with 88% of these jobs in high or medium-high tech sectors. Since 2010, over 2 million jobs have been announced as companies bring manufacturing closer to U.S. customers. Companies are no longer willing to accept the concentration risk of single-source manufacturing in distant locations, even when labor costs are higher domestically.
  • Tariff Impact Management: While tariff discussions have created uncertainty in some sectors, the robotics and automation industry has largely avoided significant negative impacts. In fact, according to the Reshoring Initiative, tariffs are rising as a motivating factor for businesses making reshoring decisions, cited in 454% more cases in 2025 versus 2024. Tariffs on imported goods strengthen the economic case for domestic manufacturing, which in turn increases demand for automation to offset higher labor costs in developed markets.
  • Labor Market Pressures: Persistent labor shortages in manufacturing, logistics, and other industrial sectors are forcing companies to adopt automation solutions not as a cost optimization exercise but as a necessity to maintain operations. This demand is less cyclical and more structural than previous automation waves.
  • Technology Maturity: Advances in artificial intelligence, machine vision, and sensor technologies have dramatically expanded the range of tasks that robots can perform reliably and economically. Applications that were impractical or too expensive five years ago are now commercially viable.

Cross-Domain Expertise Matters

The robotics investment landscape requires deep understanding of how physical automation integrates with digital intelligence. This extends beyond software-as-a-service applications into the complexities of manufacturing processes, logistics operations, and real-world implementation challenges.

A research approach grounded in both robotics fundamentals and broader technology trends provides an edge in identifying which companies are positioned to benefit from the convergence of AI and physical automation. Understanding how AI agents will be deployed in industrial settings—including which applications will become commoditized versus which will sustain competitive advantages—requires domain expertise that spans both digital and physical domains.

The AI-Robotics Convergence

While much attention has focused on generative AI and large language models, the integration of AI with robotics represents a parallel revolution with equally significant economic implications. AI is enhancing robotic capabilities in several critical areas:

  • Adaptive Manufacturing: AI-powered robots can adjust to variations in materials, components, and environmental conditions without extensive reprogramming, dramatically reducing setup times and expanding the range of tasks they can perform economically.
  • Predictive Maintenance: Machine learning algorithms analyze sensor data to predict equipment failures before they occur, reducing downtime and maintenance costs while improving overall equipment effectiveness.
  • Collaborative Robotics: Advanced perception and decision-making capabilities enable robots to work safely alongside human workers, combining the strengths of both in flexible manufacturing environments.
  • Autonomous Navigation: In logistics and warehouse settings, AI enables mobile robots to navigate complex, dynamic environments efficiently and safely, optimizing material flow without requiring extensive infrastructure modifications.

Government Support and Strategic Importance

Robotics is increasingly viewed as a strategic imperative at the national level. In September 2025, the U.S. Secretary of Commerce initiated a Section 232 national security investigation into imports of robotics and industrial machinery, seeking public comments on the effects of these imports on national security. This investigation examines factors including domestic production capacity, foreign supply chain dependencies, and the concentration of imports from specific countries.

Additionally, policy organizations like the Information Technology and Innovation Foundation have called for straightforward steps to boost U.S. robotics innovation and adoption, recognizing that robotics competitiveness is critical to maintaining manufacturing leadership. Such governmental focus signals recognition that robotics and automation are critical to maintaining manufacturing competitiveness and economic security.
Such policy support can accelerate adoption through various mechanisms including research funding, tax incentives for capital investment, and regulatory frameworks that facilitate deployment while ensuring safety and worker protection.

Not Yet at Peak Valuations

An important consideration for investors is that despite recent strong performance, robotics investments have not yet returned to their 2021 peak levels. The sector reached approximately $70 per share in 2021 during the height of growth stock valuations, suggesting meaningful upside potential remains if fundamental trends continue to strengthen.

This valuation gap is noteworthy because the underlying business fundamentals and adoption trends are arguably stronger now than they were in 2021. The previous peak reflected multiple expansion across the entire growth universe; the current levels reflect actual business performance and more sustainable growth expectations.

The Long-Term Robotics Narrative

The robotics story is experiencing a reboot grounded in tangible business drivers rather than speculative enthusiasm. Several multi-year trends support sustained growth:

  • Demographic Shifts: Aging populations in developed economies are shrinking the available workforce for manufacturing, logistics, and other physical labor roles, making automation increasingly necessary rather than optional.
  • Cost Competitiveness: The improving economics of robotics relative to human labor, even in lower-wage markets, is expanding the total addressable market for automation solutions across industries and geographies.
  • Capability Expansion: Each generation of robotic systems can perform a wider range of tasks more reliably, opening new application areas and displacing manual processes that were previously uneconomical to automate.
  • Integration Ecosystems: Mature software platforms, standardized interfaces, and growing ecosystems of integrators and solution providers are reducing implementation barriers and accelerating deployment timelines.

Diversified Exposure Across the Value Chain

A comprehensive robotics investment strategy spans multiple segments of the ecosystem:

  • Industrial Robotics: Traditional robotic arms and automated manufacturing systems continue to grow as they incorporate more advanced capabilities
  • Collaborative Robots: Smaller, flexible systems designed to work alongside humans in shared workspaces
  • Autonomous Mobile Robots: Self-navigating platforms for material handling and logistics
  • Sensor and Vision Systems: The perception layer that enables robots to understand and interact with their environment
  • Software and Control Systems: The intelligence layer that coordinates robotic systems and integrates them into broader manufacturing execution platforms
  • Component Suppliers: Specialized hardware including motors, drives, controllers, and other critical subsystems

Conclusion

The robotics sector is experiencing a fundamental resurgence driven by structural economic forces: supply chain reconfiguration, labor market constraints, technological advancement, and governmental strategic priorities. This recovery stands on firmer ground than previous cycles, with demand driven by operational necessity rather than speculative fervor.

For investors who endured the challenging 2022-2024 period, the current environment validates the long-term thesis while offering attractive entry points relative to future potential. The sector has not yet returned to previous peak valuations despite stronger underlying fundamentals, suggesting meaningful appreciation potential remains.

As the integration of AI with physical automation accelerates and reshoring trends continue, robotics represents not just a recovery story but a new chapter in the automation of the global economy. Companies positioned across this value chain—from component suppliers to system integrators—stand to benefit from a multi-year growth cycle that is just beginning to gain momentum.

 


 

The robotics story is being rebooted, and this time the narrative is supported by the real-world economics of modern manufacturing and logistics.

 



 

Carefully consider the Funds’ investment objectives, risk factors, charges and expenses before investing. This and additional information can be found on the Funds' full or summary prospectuses, which may be obtained at www.roboglobaletfs.com. Read the prospectus carefully before investing.

Investing involves risk, including the possible loss of principal. International investments may also involve risk from unfavorable fluctuations in currency values, differences in generally accepted accounting principles, and from economic or political instability. Emerging markets involve heightened risks related to the same factors as well as increased volatility and lower trading volume. Narrowly focused investments and investments in smaller companies typically exhibit higher volatility. There is no guarantee the funds will achieve their stated objective. ROBO and HTEC are diversified. THNQ is non-diversified.

The liquidity of the A-shares market and trading prices of A-shares could be more severely affected than the liquidity and trading prices of other markets because the Chinese government restricts the flow of capital into and out of the A-shares market. The funds may experience losses due to illiquidity of the Chinese securities markets or delay or disruption in execution or settlement of trades.

The risks associated with investments in Robotics and Automation Companies include, but are not limited to, small or limited markets for such securities, changes in business cycles, world economic growth, technological progress, rapid obsolescence, and government regulation. Robotics and Automation Companies, especially smaller, start-up companies, tend to be more volatile than securities of companies that do not rely heavily on technology. Rapid change to technologies that affect a company's products could have a material adverse effect on such company's operating results. Robotics and Automation Companies may rely on a combination of patents, copyrights, trademarks and trade secret laws to establish and protect their proprietary rights in their products and technologies. There can be no assurance that the steps taken by these companies to protect their proprietary rights will be adequate to prevent the misappropriation of their technology or that competitors will not independently develop technologies that are substantially equivalent or superior to such companies' technology.

The risks associated with Artificial Intelligence (AI) Companies include, but are not limited to, small or limited markets, changes in business cycles, world economic growth, technological progress, rapid obsolescence, and government regulation. Rapid change to technologies that affect a company’s products could have a material adverse effect on such company’s operating results. AI Companies also rely heavily on a combination of patents, copyrights, trademarks and trade secret laws to establish and protect their proprietary rights in their products and technologies. There can be no assurance that the steps taken by these companies to protect their proprietary rights will be adequate to prevent the misappropriation of their technology or that competitors will not independently develop technologies that are substantially equivalent or superior to such companies’ technology. AI Companies typically engage in significant amounts of spending on research and development, and there is no guarantee that the products or services produced by these companies will be successful.

The risks associated with Medical Technology Companies include, but are not limited to, small or limited markets for such securities, changes in business cycles, world economic growth, technological progress, rapid obsolescence, and government regulation.

Diversification may not protect against market risk.

Beginning September 2, 2020, market price returns are based on the official closing price of an ETF share or, if the official closing price isn't available, the midpoint between the national best bid and national best offer (“NBBO”) as of the time the ETF calculates current NAV per share. Prior to September 2, 2020, market price returns were based on the midpoint between the Bid and Ask price. NAVs are calculated using prices as of 4:00 PM Eastern Time. The returns shown do not represent the returns you would receive if you traded shares at other times.

The Funds are distributed by SEI Investments Distribution Co. (SIDCO) 1 Freedom Valley Drive, Oaks, PA, 19456