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   Humanoid robots are 'stepping out of the lab and into the real world' to take   
   the jobs we don't want - so get ready for the rise of the robot coworkers   
      
   Date:   
   Mon, 19 Jan 2026 20:20:00 +0000   
      
   Description:   
   Humanoid robots are entering real workplaces due to labor shortages, falling   
   costs, and technical progress, though large-scale adoption remains uncertain.   
      
   FULL STORY   
      
   A rise in recent deployments across manufacturing environments shows humanoid   
   robots are no longer confined to experimental settings, and evidence now   
   points to a shift toward real-world use, new research has claimed.    
      
   A new Barclays report states advances in artificial intelligence and   
   mechanical engineering now allow robots with human-like forms to operate   
   outside tightly controlled labs.    
      
   These machines are now undergoing testing on production lines, in warehouses,   
   and in other workplaces designed around human movement and reach.   
      
   Labor shortages and unwanted work   
      
   Labor shortages across several sectors, including manufacturing, agriculture,   
   logistics, and healthcare, are a key factor driving this shift, as employers   
   struggle to attract workers for repetitive, physically demanding, or    
   hazardous roles.    
      
   Aging populations, urban migration, and changing job preferences continue to   
   reduce the supply of workers willing to perform physically demanding or   
   repetitive work.    
      
   These pressures create gaps that existing automation systems cannot fully   
   address, which opens the door for humanoid robots.    
      
   Humanoid robots differ from earlier machines because designers build them to   
   function within human environments rather than requiring redesigned spaces.    
      
   They include legs, arms, and sensors, and in theory can move through narrow   
   spaces, climb stairs, and switch between tasks without major redesigns.    
      
   Recent advances in perception and motion control software have reduced    
   earlier failures that limited practical use, particularly errors tied to   
   object recognition and spatial judgment, and other AI tools also play a   
   central role by allowing these systems to respond to unstructured settings.    
      
   Another contributing factor is that production costs have dropped from   
   millions of dollars a decade ago to roughly $100,000 today.    
      
   Developers attribute this reduction to progress in computing hardware,   
   batteries, and especially actuators, which translate digital commands into   
   movement.    
      
   Like electric cars, manufacturers already build humanoid robots at scale in   
   China, but Europe continues to supply many of the high-precision mechanical   
   components that allow these machines to function reliably.    
      
   Despite the growing attention, Barclays acknowledges large-scale adoption is   
   neither guaranteed nor imminent.    
      
   Energy efficiency still lags behind human performance, deployment costs    
   remain high, and reliance on critical minerals introduces supply risks.    
      
   Similar claims over the past few years have unsettled many workers, although   
   there is little reason for alarm.    
      
   Humanoid robots are expected to take on tasks that many people already avoid,   
   but the report relies heavily on forecasts and early trials rather than   
   long-term operational data.    
      
   This leaves open questions around reliability, regulation, and whether these   
   machines will spread widely across industries or remain limited to narrowly   
   defined, undesirable roles.    
      
   ======================================================================   
   Link to news story:   
   https://www.techradar.com/pro/get-ready-for-the-rise-of-the-robot-coworkers-ne   
   w-report-claims-humanoid-robots-are-stepping-out-of-the-lab-and-into-the-real-   
   world-to-take-the-jobs-we-dont-want   
      
   $$   
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