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Physical AI - Robotics

The new trillion-dollar market

The Next Level of Artificial Intelligence

Technology is moving into the next phase:

Artificial Intelligence → Generative AI → Agentic AI → Robotics → Physical AI

With Agentic AI, artificial intelligence becomes increasingly autonomous. It analyzes information, plans tasks, makes decisions, and carries them out on its own.

Robotics gives this intelligence a body.

From the combination of artificial intelligence and robotics comes Physical AI: machines that perceive their environment, learn from it, make decisions, and act independently.

This means artificial intelligence leaves the screen and reaches the physical world.

 

Today's AI boom is the foundation for Physical AI

The current AI boom is already creating the technological infrastructure for the next stage of development.

Billions are being invested in chips, computing power, storage, data centers, cloud infrastructure, and AI software.

This very infrastructure is what’s needed for Physical AI.

Chips → Computing Power → Storage → Cloud → AI → Agentic AI → Robotics → Physical AI

The more powerful the technological base becomes, the more capable and autonomous the machines become.

This is creating a new industrial value chain that goes far beyond traditional robotics.


Humanoid Robots Are Becoming Reality

Physical AI is no longer just a futuristic vision.

Humanoid robots are already being used in production and pilot projects. The focus is especially on industrial applications.

A prominent example is Tesla Optimus. Tesla is developing a universally usable humanoid robot, combining artificial intelligence, computer vision, navigation, motion planning, and autonomous control.

BMW is also testing humanoid robots in production. This shows how artificial intelligence and robotics are being directly integrated into industrial processes.

This development marks a shift from digital AI models to intelligent machines in the real world.

The companies behind Physical AI

NVIDIA – Computing Power and AI Infrastructure

NVIDIA forms a central foundation of modern AI infrastructure.

High-performance processors, AI platforms, simulation, and software enable the development and operation of increasingly powerful AI and robotics systems.

This puts NVIDIA at the beginning of the Physical AI value chain.

 

Micron – Memory for the AI World

Powerful AI requires enormous amounts of fast memory.

This is true not only for data centers but increasingly also for vehicles, robots, and intelligent machines.

Micron thus benefits from the growing memory demand of the entire AI infrastructure.

Tesla – AI, Autonomy, and Humanoid Robotics

Tesla holds a special position within Physical AI.

With Optimus (which also includes Nvidia chips), Tesla directly connects artificial intelligence with a humanoid robot.

At the same time, Tesla has extensive experience with computer vision, autonomous control, and AI in vehicles.

Tesla thus directly links AI, autonomy, and robotics with the physical world.

Microsoft – Cloud and Artificial Intelligence

Microsoft provides a comprehensive cloud and AI infrastructure with Azure.

Companies need enormous computing power and data infrastructure to develop and deploy Agentic AI and Physical AI.

Microsoft thus provides an important part of the digital infrastructure.


Amazon – Cloud, Automation, and Robotics

Amazon combines AI infrastructure through AWS with its own massive automation and logistics network.

Robotics already plays an important role today.

In this way, Amazon links cloud, artificial intelligence, automation, and the physical world.


Alphabet – AI, Cloud, and Autonomous Systems

Alphabet combines artificial intelligence with cloud computing and autonomous technologies.

The development of AI models and autonomous systems forms an important foundation for the growing connection between software and the physical world.

Alphabet is also positioned along the Physical-AI value chain.

Physical AI isn’t just a robotics topic.

The real value creation happens across the entire technology chain:

Chips → Computing Power → Storage → Cloud → AI → Agentic AI → Robotics → Physical AI

The current AI boom is already financing and accelerating the infrastructure for the next wave of technology.


It’s not just about looking at the finished robot, but at the companies that make its development possible in the first place.

NVIDIA, Microsoft, Amazon, Alphabet, Micron, and Tesla are already positioned at different points along this value chain.

The combination of Agentic AI and Robotics leads to a new level of development:

Physical AI

Artificial intelligence gets a body.

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Looking into the Future - AI and Robotics

The development of Physical AI goes far beyond today's applications of artificial intelligence and robotics.

Elon Musk describes a future where artificial intelligence and humanoid robots take on an increasingly large share of economic value creation.

His predictions show what scale this development could reach:

2026: AI surpasses human abilities in more and more areas.

2027: AI increasingly takes over digital work processes.

2028: AI reaches a level in software development that increasingly surpasses human developers.

2029: Humanoid robots like Tesla Optimus reach a completely new performance level.

2030: AI surpasses the capabilities of individual humans in more and more areas.

2031: Humanoid robots are deployed in large numbers.

2032: AI and robotics massively boost global economic productivity.


22033: The importance of traditional work and retirement provision is fundamentally changing.

2034: Automated systems are increasingly generating economic value without human labor.

2036: Hundreds of millions, up to a billion, humanoid robots could be in use worldwide.



A new era of productivity

A completely new form of economic value creation is emerging.

Machines work around the clock, don’t need sleep, and can take on increasingly complex tasks.

This shifts the limit of what an economy can


Damit verschiebt sich die Grenze dessen, was eine Volkswirtschaft produzieren kann.

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