Breaking news

Morgan Stanley Sees Public Perception As A Key Hurdle For Humanoid Robots

Morgan Stanley has tempered its near-term optimism on humanoid robots, saying the industry’s biggest challenge may extend beyond technology to public acceptance, even as it maintains its forecast for Chinese shipments this year.

Morgan Stanley Takes A More Cautious View

Morgan Stanley has repeatedly raised its forecast for China’s humanoid robot shipments in 2026, increasing it from 14,000 units in January to 28,000 and later to 50,000. However, in a note published on Tuesday, the bank said large-scale adoption may depend not only on technological progress but also on how humanoid robots are perceived by the public.

Public Acceptance Could Shape Adoption

The bank said humanoid robots are often presented as direct replacements for workers rather than as tools for hazardous, repetitive or labour-constrained tasks. According to the analysts, public acceptance could become as important as technical performance because the way robots are positioned may influence both policymakers and adoption by businesses.

Morgan Stanley also said investors, including the bank itself, may have underestimated the extent to which humanoid robots could complement rather than replace human workers. The analysts pointed to potential benefits including easing labour shortages, improving the economics of new manufacturing facilities and creating demand for maintenance, operations and other supporting roles.

Investors Shift Focus To Commercial Returns

The bank said investors are becoming less focused on demonstration videos and prototypes and are placing greater emphasis on measurable returns on investment. While commercial adoption is expanding, Morgan Stanley described it as both “early” and “narrow,” suggesting the next stage of growth will depend on proving productivity gains in real-world applications.

U.S. Restrictions Add Pressure

Morgan Stanley said geopolitical developments could also weigh on the sector. On Tuesday, the Trump administration banned imports of new Chinese humanoid and quadruped robots, citing national security concerns. According to the bank, the restrictions could increase research and development costs because low-cost Chinese humanoid robots are widely used in the United States for model development and testing.

Despite the additional challenges, Morgan Stanley maintained its forecast of 50,000 Chinese humanoid robot shipments by the end of 2026.

Mirendil Signs $100 Million Google Cloud Deal To Advance Self-Improving AI

AI startup Mirendil has signed a multi-year agreement worth more than $100 million with Google Cloud to secure computing infrastructure for its self-improving AI research.

The partnership reflects growing competition among AI companies to lock in access to high-performance computing, while cloud providers race to attract promising startups developing next-generation AI models.

Backing The Next Stage Of AI Research

Mirendil plans to use Google’s Tensor Processing Units (TPUs), Nvidia GPUs and managed training infrastructure to develop AI systems capable of improving their own performance over time.

Known as recursive self-improvement, the concept focuses on building AI that can refine its knowledge and capabilities with minimal human intervention. The technology is attracting growing interest across the industry, with several startups and leading AI labs exploring similar approaches.

According to co-founder and Chief Executive Behnam Neyshabur, the long-term goal is to develop AI that can automate scientific research and accelerate discoveries in fields such as medicine, biology and materials science.

Compute Capacity Becomes A Strategic Asset

Training increasingly advanced AI models requires enormous computing resources, making long-term infrastructure agreements a critical competitive advantage.

Mirendil said Google’s combination of TPUs and GPUs allows workloads to be matched with the most suitable hardware, improving efficiency while reducing costs for customers.

For Google Cloud, the agreement strengthens its position in the race to provide infrastructure for frontier AI developers, while giving the company exposure to one of the industry’s emerging approaches to next-generation artificial intelligence.

The Future Forbes Realty Global Properties
Uol
Aretilaw firm
eCredo

Become a Speaker

Become a Speaker

Become a Partner

Subscribe for our weekly newsletter