Summary
The CES 2026 in Las Vegas marks a fundamental turning point in Artificial Intelligence: Physical AI is leaving chat windows and entering the physical world. In parallel, the US government is positioning itself more than ever on the tech stage with the so-called Genesis Mission, intertwining national interests with private-sector innovation. German companies like Siemens and Mercedes-Benz are shaping important segments, while the USA is massively deregulating and mobilizing energy resources.
People
- Carsten Knob – FAZ Publisher
- Roland Lindner – FAZ Digital Economy Correspondent
- Michael Kratzios – Trump's Technology Advisor
- Lisa Su – Chief Executive Officer AMD
- Roland Busch – CEO Siemens
- Jensen Huang – CEO NVIDIA
Topics
- Physical AI and autonomous driving
- Genesis Mission and US industrial policy
- Digital twins and factory simulation
- AI chip market and competition
- Energy supply and memory chip shortages
- Robotics and humanoid systems
Detailed Summary
Physical AI and the Turning Point at CES 2026
The CES 2026 marks a qualitative leap: Artificial Intelligence is moving beyond chatbots and language models and becoming increasingly "physical". Robot taxis from Waymo (Alphabet subsidiary) are already driving without drivers through American cities. Amazon subsidiary Zoox is also bringing robot taxis to the road. At the same time, traditional automakers are presenting early Level 2 driver assistance systems powered by NVIDIA technology. The gap between early pioneers and established corporations remains significant.
Siemens: Germany's Tech Flagship
Siemens has positioned itself in industrial AI and is thereby a global leader. The core concept: digital twins – virtual simulations of products and factories. These simulations allow problems to be identified before anything is physically built. This significantly reduces costs, errors, and development time. Siemens CEO Roland Busch presented this alongside NVIDIA CEO Jensen Huang in a keynote – despite a technical teleprompter glitch. Siemens has essentially become a software company and benefits from strategic corporate acquisitions.
Mercedes-Benz and the Alpamayo Standard
Mercedes-Benz is the first company to introduce NVIDIA's new Alpamayo platform for autonomous driving – albeit only at Level 2. This corresponds to an advanced driver assistance system in which the driver must retain control. Tesla offers similar systems (Autopilot, Full Self Driving), but uses a closed system. Mercedes-Benz relies on an open ecosystem that provides other manufacturers access and hardware flexibility (lidar, cameras, etc.).
AMD as a Serious Competitor
AMD CEO Lisa Su announced new AI chip lines (MI400, MI500 from 2027). The performance leaps are impressive: next-generation models are supposed to be a thousand times more powerful than 2023 models. AMD is leveraging its historical strength in graphics chips (Ryzen graphics cards) and is now expanding this into the AI space. This increases pressure on NVIDIA, which has dominated the chip market so far.
Genesis Mission: America's National AI Initiative
The Genesis Mission is an Executive Order from Donald Trump (November 2025) that is meant to secure US tech dominance through public-private partnerships. Michael Kratzios, the President's technology advisor, described this in historical dimensions – comparable to Apollo missions or the Manhattan Project. Participating companies include: AMD, NVIDIA, OpenAI, Microsoft, Google, Amazon, and other tech giants.
Core Goals:
- Dramatically accelerate scientific research
- Advance energy, materials science, and national security
- Remove regulatory obstacles (deregulation)
The initiative is driven by two supercomputers – built entirely on AMD hardware. This is strategic industrial policy.
Deregulation Instead of Ethical AI Standards
While Europe is betting on regulated, ethically responsible AI, the US government is pursuing the opposite strategy: dismantling AI regulations (significantly faster under Trump than under Biden). Technology advisors like Michael Kratzios, David Sachs, and Elon Musk come from Silicon Valley and have a direct interest in minimal regulation. This creates two competing systems: America is betting on unlimited innovation, Europe on control.
Memory Chip Shortages and Price Increases
AI data centers are consuming massive amounts of memory chips. Manufacturers like Samsung have implemented price increases of 60 percent. This affects not only consumer hardware (smartphones, PCs) but also drives costs up for gaming consoles and other electronic devices. The shortage will intensify as new data centers are being built worldwide.
Energy Supply as a Bottleneck
AI data centers require enormous amounts of electricity. In some US regions, electricity bills are already rising. Trump is halting wind power projects, instead promoting Venezuelan oil and promoting nuclear fusion startups (partly through his social media platform True Social). Nuclear fusion is considered a long-term hope but is not yet in commercial use. In parallel, alongside large data centers, edge computing infrastructures are being developed for mid-sized businesses.
Business Models Still Uncertain
The enormous expenditures (Google, Meta, Microsoft: each 80–100 billion dollars per year) still stand in disproportionately small revenues. OpenAI competes through subscriptions (Gemini, Perplexity, Microsoft Copilot) but is also considering advertising models and developing its own hardware. Whether these gigantic investments will pay off remains open. Comparisons to the dot-com bubble are emerging but are currently being dismissed by market participants.
Robotics and Humanoid Systems
CES 2026 featured more robots than ever before – in humanoid, industrial, and exotic forms (e.g., chess robots). An Asian company presented a high-quality chess robot with AI-powered error detection and 20–25 difficulty levels (from beginner to grandmaster level). Lego announced for the first time electronic building blocks with chips and sensors – a shift from pure mechanics to digital augmentation.
Key Messages
- Physical AI dominates: AI systems are entering the material world through robotics, autonomous vehicles, and industrial automation.
- Siemens leads in industrial AI: Digital twins and factory simulation give the company global competitive advantages.
- Mercedes-Benz starts at Level 2: The Alpamayo platform is not yet fully autonomous driving but opens a standardized ecosystem for competitors.
- Waymo and Zoox are ahead: Driverless robot taxis are already operating in US cities and are expected to expand to Europe in 2026.
- AMD pressures NVIDIA: New chip generations with a thousandfold performance increase create genuine competition.
- Genesis Mission: Government as Tech Investor: The USA is pooling private and public resources with significant deregulation.
- Europe takes the opposing stance: Regulated, ethical AI versus deregulated American innovation – two rival systems are emerging.
- Memory chip and energy shortages are real: Prices are rising, available capacity is becoming scarce, and consumers are footing the bill.
- Business models are uncertain: Huge expenditures still stand against disproportionately small revenues – bubble risk exists.
- Robotics is becoming mainstream: Humanoid systems, chess and factory robots show that the market is mature for broad application.
Stakeholders & Those Affected
| Stakeholder | Status |
|---|---|
| Siemens, Mercedes-Benz | Benefiting: global competitive position in AI hardware and software |
| AMD, NVIDIA | Core Winners: chip market is growing exponentially, competition intensifying |
| OpenAI, Microsoft, Google | Benefiting: Genesis Mission support, but also pressure from expenditures |
| European tech companies (except Siemens) | At Risk: falling behind in AI chips, lacking venture capital density |
| Consumers (worldwide) | Losing: memory chips more expensive, electronics more costly, electricity costs rising |
| Employees (industry) | Losing: automation displacing jobs (physical robotics) |
| Governments (non-USA) | Challenge: tech dependency on US ecosystem growing |
Opportunities & Risks
| Opportunities | Risks |
|---|---|
| Efficiency gains from factory automation | Mass unemployment in manufacturing industries |
| Faster scientific research (Genesis Mission) | Deregulation leads to uncontrolled AI development |
| Robotics solves skilled labor shortages | Energy shortages intensify climate crisis |
| Open ecosystems like Alpamayo | Proprietary solutions strengthen tech monopolies |
| Siemens expertise exportable | European tech companies lose ground |
| AMD competition lowers chip prices | Gigantic investments become unprofitable (bubble) |
| New markets for Lego, robotics startups | Children's technology dependency grows |
| Nuclear fusion could solve energy crisis | Nuclear fusion remains speculative and long-term |
Action Relevance
Relevant for decision makers and observers:
European governments should act immediately:
German companies:
- Use Siemens success as a model (expand industrial AI lead)
- Reduce memory chip dependency