Australia could unlock up to AUD $201 billion in additional economic output by 2040 through greater adoption of robotics, according to new modeling – but realizing that potential will depend less on technology breakthroughs than on closing persistent gaps in deployment.

The analysis, commissioned by Amazon Australia and conducted by consulting firm ACIL Allen, suggests that relatively modest increases in robot usage across industry and services could generate economy-wide productivity gains, higher wages and new employment opportunities.

The findings add to a growing global narrative: robotics is no longer just a tool for individual firms, but a macroeconomic lever shaping national competitiveness.

Productivity Gains Beyond Manufacturing

The report outlines a scenario in which Australia doubles its industrial robot density while increasing service robot adoption by around 15% in non-manufacturing sectors.

Under those conditions, average incomes could rise by roughly AUD $6,500 per person annually, while the economy could support nearly 129,000 additional jobs each year.

The benefits are not limited to traditional automation sectors.

While industries such as mining and agriculture already make significant use of robotics, the report highlights untapped potential in areas like logistics, retail and services – sectors where automation has historically been slower to scale.

Amazon’s own operations illustrate the shift. In its fulfillment centers, mobile robots are used to transport heavy inventory, reducing physical strain on workers and allowing employees to transition toward oversight, maintenance and system management roles.

At the same time, software systems are becoming increasingly important. The company points to AI-driven fleet management tools that optimize robot movement, improving efficiency across large-scale operations.

The Commercialization Bottleneck

Despite strong research capabilities, particularly in field robotics, Australia continues to lag behind other markets in adoption, production and robotics-related employment.

The report identifies a familiar challenge: translating academic innovation into commercial deployment.

Bridging that gap requires more than investment in research. It depends on building connections between universities, industry and end users, along with creating environments where technologies can be tested, refined and scaled.

Robotics adoption also involves a complex ecosystem. Businesses must invest not only in hardware but also in software integration, workforce training and ongoing maintenance – factors that can slow uptake even when the underlying technology is mature.

The result is uneven adoption, with robotics concentrated in sectors where the return on investment is clear, while other industries remain cautious.

A National Competitiveness Question

The modeling suggests that even incremental progress could have broad economic effects, amplifying productivity across sectors rather than delivering isolated gains.

This scaling effect is central to the argument for robotics investment: improvements in automation can ripple through supply chains, labor markets and service industries.

At the same time, the findings highlight a strategic question for policymakers.

Countries that successfully integrate robotics into their economies may gain advantages in productivity, wages and industrial competitiveness. Those that lag risk falling behind as automation becomes a standard component of global business operations.

Australia’s position reflects both opportunity and constraint.

The country has strong research foundations and sector-specific expertise, particularly in challenging environments such as mining. But without stronger pathways to commercialization and wider adoption, those advantages may not translate into economic impact.

The report’s conclusion is cautious but clear: the potential gains from robotics are substantial, but they will depend on execution – not just innovation.

Humanoid robots are beginning to step out of factories and into the spotlight.

Shenzhen-based LimX Dynamics has unveiled its latest humanoid robot, Luna, at a consumer-facing event in China, marking a notable shift in how robotics companies are positioning their machines – not just as industrial tools, but as interactive systems designed for public environments.

The robot made its debut at the Taobao Influencer Festival, where it performed a catwalk demonstration, showcasing balance, coordination and fluid motion rather than task-specific industrial capabilities.

The choice of venue underscores a broader trend: robotics companies are increasingly targeting applications that involve direct human interaction, from retail and entertainment to hospitality and public services.

From Industrial Platforms to Lifestyle Robots

LimX’s earlier humanoid platform, OLI, was built for industrial use, focusing on durability and operation in demanding environments such as construction sites.

Luna represents a departure from that approach.

With a more refined design and human-like proportions, the robot is intended for environments where appearance, movement and interaction matter as much as functionality. The system features 33 degrees of freedom, enabling more complex motion patterns and smoother walking dynamics.

During its public demonstration, Luna executed a controlled catwalk and an “illusion turn”, a movement designed to test dynamic balance and coordination.

These demonstrations, while not tied to specific industrial tasks, highlight the importance of mobility and expressiveness in robots designed for shared human spaces.

Hardware Meets Human Interaction

Under the surface, Luna builds on the same computing architecture as LimX’s industrial robots.

The system integrates multiple perception technologies, including depth cameras, RGB vision and LiDAR, combined with simultaneous localization and mapping (SLAM) to navigate dynamic environments.

Its software stack is based on ROS 2 and runs on high-performance edge computing hardware, enabling developers to build custom behaviors and applications.

This combination of advanced hardware and flexible software reflects a broader shift in robotics toward platforms that can be adapted for multiple use cases.

Rather than designing robots for a single task, companies are increasingly building general-purpose systems that can operate across different environments with appropriate software layers.

A New Phase for Humanoid Robotics

The unveiling of Luna comes at a time when humanoid robotics is expanding beyond early industrial pilots.

Companies are experimenting with applications that require not only physical capability but also social presence – guiding customers, interacting with audiences or participating in public events.

This shift introduces new challenges.

Robots operating in public spaces must meet higher expectations for safety, reliability and human-like behavior. Movement quality, appearance and interaction design become critical factors in user acceptance.

LimX’s recent funding round suggests that investors are backing this broader vision, betting that humanoid robots will find roles beyond traditional automation.

For now, demonstrations like Luna’s catwalk remain symbolic. But they point to an evolving industry where the success of humanoid robots may depend as much on how they move and interact as on what tasks they perform.

As robotics shifts from prototypes to scaled deployment, a new battleground is emerging not around individual machines, but around the supply chains that make them possible.

Chinese firm Comtech is positioning itself at the center of that transition, describing its role as a “super connector” linking chipmakers, software providers and robotics companies into a unified ecosystem for embodied AI.

The strategy reflects a growing recognition across the industry: building robots is no longer just a hardware challenge, but a systems integration problem spanning semiconductors, AI models, simulation and global distribution.

Building the Infrastructure Behind Robots

Comtech operates as both a distributor of electronic components and a platform for integrating AI technologies into physical systems.

The company works with more than 100 global chip suppliers – including major U.S. firms – while serving a wide range of Chinese robotics developers across industries such as humanoids, drones and autonomous vehicles.

Its role is to bridge these layers.

According to company executives, developing a robot involves far more than assembling parts. It requires simulation tools, 3D modeling, embedded AI models and integration across hardware and software systems before a product can be deployed.

Comtech’s ecosystem approach aims to streamline that process by connecting companies that would otherwise operate in isolation.

The company is also a key distributor for Nvidia’s Jetson edge AI platform in China, which is widely used for robotics and embedded AI applications.

From Fragmented Demand to Scalable Markets

One of the challenges in robotics today is the fragmented nature of demand.

Unlike mature industries, where large volumes of standardized products drive economies of scale, robotics often involves small production runs across diverse use cases.

This makes it difficult for individual companies – particularly startups – to build efficient supply chains and reach global markets.

Comtech’s model attempts to address that gap by aggregating demand and providing shared access to components, integration expertise and distribution channels.

At a recent industry forum, the company signed agreements with partners across sectors including drones, media and robotics services, while also showcasing collaborations in areas such as brain-computer interfaces and embodied intelligence.

The company is also expanding internationally, working to help Chinese robotics firms establish sales and service networks in North America and other markets.

The Next Phase: Commercial Viability

While the ecosystem approach may accelerate development, the industry still faces significant hurdles in commercialization.

Experts at the forum emphasized that technical capability alone is not enough. For robots to succeed in real-world environments, they must meet practical benchmarks for reliability, cost and return on investment.

In industrial settings, companies are increasingly evaluating robots based on payback periods, with some investors suggesting that systems must justify their cost within relatively short timeframes to gain adoption.

Data availability is another constraint. Training embodied AI systems requires large volumes of real-world interaction data, which remains limited compared with software-based AI.

Despite these challenges, investment in robotics continues to rise, with hundreds of funding deals already recorded this year.

Comtech’s strategy suggests that the next phase of competition may not be won solely by the companies building robots, but by those capable of orchestrating the complex networks required to bring them to market.

As embodied AI systems become more sophisticated, the ability to connect components, data and distribution channels into a cohesive ecosystem could prove as critical as the robots themselves.

Shenzhen-based automation and robotics company Inovance Technology is preparing a Hong Kong listing that could raise up to $2 billion, in what would be one of the largest robotics-related capital raises of the year.

The company has reportedly selected a group of global and Chinese investment banks – including Bank of America, Morgan Stanley and China International Capital Corp – to lead the offering, according to people familiar with the matter. The listing plans are still under consideration and could change in size or timing.

If completed, the deal would underscore how robotics and industrial automation are becoming central to the next phase of global AI investment.

Capital Flows Into Physical AI

The planned listing comes as investors increasingly shift attention from software-based AI to systems that operate in the physical world.

Inovance, which is already publicly traded in Shenzhen, develops industrial automation equipment and robotics systems used in sectors such as packaging, plastics and steel production. Its technologies form part of the infrastructure that enables automated manufacturing.

The company’s potential Hong Kong listing reflects a broader trend: mainland Chinese firms are turning to international markets to raise capital for expansion, particularly in high-growth sectors like robotics.

Hong Kong has re-emerged as a key venue for such offerings. Listings by mainland companies accounted for a large share of the exchange’s proceeds in 2025, as companies sought to tap global investors while maintaining access to Asian markets.

For robotics firms, access to capital is especially critical. Unlike software startups, companies building physical systems must invest heavily in manufacturing, supply chains and hardware development.

Scaling Industrial Robotics

Inovance’s business sits at the intersection of traditional industrial automation and newer forms of embodied AI.

While much of the current attention in robotics is focused on humanoid systems, industrial robots remain the backbone of automation in sectors such as manufacturing and logistics.

These systems are evolving as AI capabilities are integrated into control systems, enabling machines to operate with greater flexibility and adapt to changing conditions.

China has made robotics a strategic priority as part of its broader push to strengthen high-tech manufacturing. Companies like Inovance play a key role in that effort by supplying the components and systems that underpin automated production lines.

At the same time, newer robotics companies – including humanoid developers – are emerging alongside established industrial players, creating a layered ecosystem of automation technologies.

A Competitive Global Landscape

The potential IPO also highlights intensifying global competition in robotics.

Chinese firms are scaling rapidly, supported by domestic demand and government-backed initiatives. At the same time, companies in the United States and Europe are investing heavily in next-generation robotics platforms, including humanoid systems.

Capital markets are becoming a battleground in this competition. Large funding rounds and public listings provide the resources needed to scale manufacturing, expand internationally and invest in research and development.

For investors, the appeal of robotics lies in its potential to reshape industries ranging from manufacturing to logistics and services. But the sector also carries risks, particularly given the capital-intensive nature of hardware development and the long timelines required to achieve profitability.

Inovance’s planned listing reflects both sides of that equation: strong demand for robotics-driven automation and the substantial investment required to deliver it at scale.

As the industry evolves, access to capital may prove as important as technological innovation in determining which companies emerge as global leaders in physical AI.