- Physical AI takes centre stage at CES, signalling a new phase of automation where machines act and interact in the physical world.
- Industry optimism collides with job concerns, as the hype around robots and intelligent systems stokes debate about the future of human labour.
What happened: Tech’s real-world leap
In the first week of 2026, “physical AI” — a term describing artificial intelligence that perceives, reasons and acts in the physical world — emerged as the dominant tech buzzword, especially at the Consumer Electronics Show (CES) in Las Vegas. Leading chip makers like Nvidia touted this concept as the next frontier of AI, emphasising systems such as autonomous robots, smart cameras and self-driving machines that bridge digital intelligence with physical tasks.
This marks a shift from last year’s focus on agentic and generative models, which captured attention by automating digital creativity and tasks. Nvidia’s CEO characterised physical AI as the moment when machines begin to “understand, reason and act in the real world”.
Major firms showcased humanoid robots and connected AI systems at CES, and industry voices predicted a rapid embrace of these technologies across sectors. UK semiconductor designer Arm explained that making AI work reliably outside controlled environments requires specialised silicon able to handle low-latency real-time processing.
Yet while advances impress, demonstrations often remain to some degree assisted by human control, suggesting we are still some distance from the fully autonomous machines often hyped in media and marketing.
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Why it’s important
The growing emphasis on physical AI underscores how quickly the tech industry’s priorities are evolving. This shift could unlock new capabilities in logistics, manufacturing, repair and even healthcare. If telecoms and networking firms integrate these systems — potentially even tying them to future 6G connectivity — it could reshape how services are delivered.
However, this transformation isn’t just technical. Workers in sectors like manufacturing and logistics are already reporting that robots are being trained to take over routine tasks once performed by humans, raising questions about employment and economic adjustment in the years ahead.
To navigate this transition responsibly, stakeholders — from regulators to employers — will need to balance the promise of automation with safeguards for workers, including retraining and social support structures. While physical AI may drive business growth, it also accelerates debates about technology’s role in society, labour markets and the economy.
