AI-powered humanoid robots are coming to the workforce soon — here’s what to expect

Recent breakthroughs in generative AI and mechatronics have enabled humanoid robots to develop improved reasoning skills and physical capabilities, moving them closer to workplace deployment. Major technology companies and specialized robotics firms are racing to develop commercially viable humanoid robots that can perform human-like tasks in various industries.

Market outlook and timeline: Gartner forecasts that next-generation humanoid working robots will represent 10% of all smart robot sales by 2027, with initial commercial availability expected within two years.

• Leading developers include established tech companies like xAI, Meta, and IBM, alongside robotics specialists such as Boston Dynamics, Agility Robotics, and Figure.ai
• Early adoption is anticipated in manufacturing, supply chain/logistics, and retail sectors
• Pilot programs are already underway at companies like GXO Logistics and Boston Dynamics

Primary applications: The next generation of humanoid robots combines sensory awareness, mobile manipulation, and dynamic locomotion to perform tasks previously reserved for human workers.

• High-risk environments and hazardous duties represent key early use cases
• Target industries include manufacturing, warehousing, retail, hospitality, healthcare, and construction
• Robots are being designed to handle complex physical tasks while navigating dynamic environments

Technical challenges: Several significant hurdles must be overcome before widespread adoption becomes feasible.

• Cost remains a major barrier to large-scale deployment
• Achieving human-like capabilities in areas like dexterity and adaptability presents ongoing challenges
• AI safety concerns and regulatory compliance requirements need to be addressed
• Enterprise integration and reliability issues require further development

Enterprise perspective: CIOs and industry experts express cautious optimism about the technology’s potential while acknowledging implementation challenges.

• Organizations are carefully evaluating cost-benefit ratios and return on investment
• Integration with existing systems and workflows requires substantial planning
• Safety protocols and risk management strategies need development
• Worker training and change management considerations are critical success factors

Looking beyond the hype: While early applications show promise, the timeline for widespread humanoid robot deployment may extend beyond current predictions.

• Initial deployments will likely focus on specific use cases where the technology provides clear value
• Success in pilot programs will drive broader adoption across industries
• Cost reductions and technological improvements will gradually expand viable applications
• The impact on the workforce will unfold gradually rather than through sudden, widespread displacement