Artificial intelligence is moving beyond the cloud and into the physical world, with robotics emerging as the critical execution layer driving real-world deployment, says investment researcher BestBrokers.
Artificial intelligence has spent the better part of the past decade dazzling the world with its ability to generate text, design chips and model complex systems. But in 2026, a subtle yet profound shift is underway: AI is leaving the confines of the cloud and stepping into the physical world. The catalyst? Robotics.
Once considered a niche or hardware-heavy outlier in the broader tech ecosystem, robotics is now emerging as the critical bridge between digital intelligence and real-world execution. And the numbers suggest this is not a slow transition – it is an inflection point.
The rise of ‘Physical AI’
Recent months have seen a surge of interest in what industry leaders increasingly call ‘Physical AI’- the integration of advanced machine learning models with autonomous systems capable of acting in real environments. The trend has been spotlighted at major industry gatherings such as NVIDIA’s GTC and CES 2026, where robotics demonstrations have taken centre stage alongside generative AI.
Funding activity reinforces the narrative. US-based Mind Robotics raised a US $500m Series A round, while Rhoda AI secured US $450m. These are not isolated bets – they are part of a broader wave of capital flowing into companies that promise to operationalise AI beyond screens and servers.
“AI defines the intelligence layer, while robotics is fast becoming the execution layer,” said Alan Goldberg of investment researcher BestBrokers, whose team recently analysed global unicorn trends. “What was once experimental automation is increasingly becoming commercial infrastructure.”
A record year for unicorns
The robotics boom is unfolding within a broader surge in high-value private companies. According to data BestBrokers compiled from Crunchbase and PitchBook, 70 start-ups reached unicorn status – valuations of US $1b or more – between January and April 2026 alone.
The term unicorn – coined in 2013 – reflects a crowded and fast-moving ecosystem. As of April 2026, there are 1,727 unicorns globally.
Artificial intelligence continues to dominate this landscape. Of the 70 new unicorns this year, 17 – nearly a quarter- are AI companies. Among the most valuable are humans& (US $4.5b), Ricursive Intelligence (US $4b), Advanced Machine Intelligence (AMI Labs) (US $3.5b) and Waabi (US $3b).
Yet beneath this dominance lies a structural evolution: AI may still lead in sheer numbers, but robotics is rapidly gaining ground in impact.
Robotics hits critical mass
Seven robotics companies have reached unicorn status so far in 2026, with four achieving that milestone in March alone – a striking concentration that signals accelerating momentum.
In the United States, companies like Mind Robotics (US $2b), Bedrock Robotics (US $1.8b), Rhoda AI (US $1.7b) and Sunday (US $1.6b) are focused on deploying AI-powered automation across industries ranging from manufacturing to household services.
By comparison, Asia is advancing a parallel vision. Companies such as AI2 Robotics, PaXini Tech and Robotera – all valued around US $1.4b – are pushing forward with embodied intelligence and humanoid systems.
This transpacific divide reflects two complementary strategies. US firms tend to emphasise software-driven automation and enterprise deployment, layering AI capabilities onto existing industrial workflows. In contrast, Chinese and Hong Kong-based players are investing heavily in hardware-first approaches, particularly humanoid robots designed for broader physical interaction.
The convergence of these approaches is where the real transformation lies.
The bigger picture: From intelligence to action
What makes 2026 distinct is not just the number of unicorns or the scale of valuations – it is the changing nature of innovation itself.
For years, AI progress was measured in benchmarks: accuracy, parameter counts and model performance. Today, the focus is shifting toward deployment – how effectively these models can operate in the real world.
Robotics is the natural endpoint of this evolution.
Factories are becoming autonomous. Logistics networks are increasingly self-optimising. Even consumer environments are beginning to integrate intelligent machines capable of learning and adapting.
The implications are profound. As AI systems gain physical agency, the boundary between digital and real-world processes begins to blur. Software is no longer just a tool – it becomes an actor.
A structural shift, not a passing trend
The surge in robotics unicorns is not an anomaly; it is a signal of a deeper structural shift in the technology landscape.
AI will continue to dominate as the intelligence layer, powering decision-making and prediction. But without a means of execution, its potential remains constrained.
Robotics provides that missing link.
The current wave of investment suggests that industry leaders recognise this. The race is no longer just to build smarter models – it is to deploy them at scale in the physical world.
“The transition from digital intelligence to physical deployment is now happening at pace rather than through isolated breakthroughs,” said Goldberg.
In other words, the age of thinking machines is giving way to the age of acting machines. And that may prove to be the most consequential shift of all.
