Elon Musk has set himself a rather ambitious goal: to bring the production of humanoid robots to a million units. The realization of such a large-scale plan becomes feasible thanks to the implementation of the advanced Vision Language Action (VLA) methodology. This system allows robots not only to grasp the general meaning of what is happening but also to process visual information streams and acquire new skills through visual monitoring. The breakthrough associated with VLA is comparable to the hype generated by advanced language models following the introduction of the transformer architecture in 2017 for training neural networks. At the current stage, VLA heralds radical changes in both household appliances and manufacturing sectors. Anthropomorphic machines are successfully integrating into the social structure, which is achieved through directive control via virtual environments or through training on synthetic data arrays. Currently, robot production is not an economically attractive venture, but corporations are confident that in the next 5–15 years their cost will significantly decrease, enabling them to replace humans in performing risky or hard-to-reach operations. Nevertheless, the need for human personnel for servicing these machines will remain. According to the publication, the creation of robots represents an aspiration to look into the future, where technological achievements will be a key factor in a large-scale restructuring of the labor landscape.
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