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Tesla to mass-produce robots: the biggest industry of this century. (video)

Tesla has long since stopped being “just” a maker of electric cars. Under Musk’s leadership, the company is transforming into a high-tech player in robotics and artificial intelligence — and that is not mere ambition, but a strategic course. Where its electric cars set the tone for years, Tesla is now aiming at robots and AI systems as the core of its future.

Robots as the main product: the rise of Optimus

The most visible step in that transition is Optimus — the humanoid robot Tesla presented as the “robot for everyday tasks”. Optimus is designed to take over boring, repetitive, dangerous or heavy tasks. Tasks that are tedious or taxing for people can be done by Optimus. 

According to Musk, Optimus could eventually “be more important than Tesla’s car business”.  He is aiming for production scale-up: in recent presentations and in conversations with investors he made it clear that Tesla wants to produce hundreds, possibly thousands of robots in the foreseeable future. 

For Tesla, this is not just science fiction: part of the infrastructure is already in place. Thanks to years of experience with EVs, Autopilot software, AI hardware and self-driving cars, Tesla has much of the “hardware and software” in-house to make robots scalable. In theory, Tesla therefore needs to buy little externally — it can develop and integrate a lot internally. See in the video below how a robot walks through the factory on its own and picks up items.

AI and the software stack: the spider in the web

An important pillar of Tesla’s robot vision is software — not just mechanics. Tesla develops its own AI chips and software for autonomous navigation, computer vision, planning and control that drives both cars and robots. 

This means Tesla is not dependent on external suppliers for critical parts of its robot platform. Thanks to this in-house development, cars, robotaxis and robots can all benefit from the same technological foundation.

In addition, Musk recently announced that the AI chatbot Grok — developed by his AI company xAI — will be integrated into Tesla vehicles. This allows the car to “talk” to its occupants, take commands and act as a voice-controlled assistant. 

That makes clear how Tesla views convergence: cars, robots and AI — all connected within one ecosystem.

Why robots are the “big market” according to Musk

According to Musk, the market for robots is bigger and potentially more lucrative than the car market. He suggests that human labour could eventually be replaced by robots, drastically increasing productivity. 

Robots can work day and night, without breaks, without errors from human fatigue — something cars simply cannot do. Especially for repetitive industrial & logistics tasks, assembly or heavy work, a robotic alternative is attractive.

If Optimus production goes according to plan, Tesla could produce several tens of thousands or even hundreds of thousands of robots a year. Tesla would then offer not only vehicles, but “labour as a product”.

Global difference: US & China ahead — Europe follows

In countries such as the United States (where Tesla is based) and China, a lot is happening in robotics and AI — with fast production, high investment and scalable infrastructure. In those environments, companies like Tesla can scale up faster and benefit from economies of scale.

Europe, on the other hand, is lagging behind in many respects: regulation is stricter, adoption of new technology is slower, investment is more cautious, and there is less focus on automated mass production. As a result, Europeans will probably have to import robots / “smart machines” as expensive products, instead of such innovations originating in Europe.

That difference in speed and scale could lead to technological and economic decline in the long run — at least by the standards of rapid technological innovation.

Risks, criticism and a reality check

Although Musk’s vision is optimistic, there are also valid caveats: much of what has been shown — from robot dances to presentations — has so far been partly indicative and sometimes with human help (teleoperation). This means robots often do not operate fully autonomously. 

Moreover, many tasks in industry and logistics are still performed more efficiently by special “purpose-built” robots (for example wheels, conveyor systems, fixed arms) than by humanoid robots. A humanoid robot is versatile, but not necessarily the most efficient method — certainly not when accuracy, speed and repeatability are paramount. 

On top of that, large-scale robot production brings logistical, technological and materials challenges. Not everything scales equally easily — and some of Musk’s promises are spectacular, but ambitious.

What does this mean for the future — and for us?

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