China is clear about who should lead the advances of its best AI and robotics companies: Generation Z

Those who now enter the labor market find themselves with a rival that is difficult to beat: they have no agreement or need for rest or fulfillment. In addition, it does the tasks of junior profiles quite well: artificial intelligence is limiting the landing of Generation Z in the offices. in the United States, we have seen it in the UK and also in the Big Four that make up the Madrid skyline. Replacing those who start working with AI has been revealed as the West’s formula to boost productivity… from the point of view of the bosses. If you have to fight with her and validate her, not so much anymore.

But it is by no means the only way, nor does it happen to everyone. In fact, China is betting just the opposite: it is turning Generation Z and millennials into heads of areas as strategic as robotics or artificial intelligence itself. They are not just any young people: they are true galacticos, their best assets.

Give me someone young. As collect TechAsiaa trend is emerging in China: that of hiring millennials and young people from generation Z for positions with high-level technical profiles in large AI and robotics companies. The best example is Vinces Yao Shunyu: at 28 years old he has already been at OpenAI. A couple of months ago he returned to his native China to become the chief scientist of Tencent. He now reports directly to the CEO.

Shunyu’s is just the tip of the iceberg of this new organizational strategy of Chinese companies. There are other cases, such as that of Luo Jianlan, formerly of Google since a year the chief scientist of AgiBot. Or of Dong Haochief scientist at PrimeBot after earning his PhD at Imperial College. By the way, OpenAI and Meta have copied the recipe: the first with Polish Jakub Pachocki and the second, with the Chinese Zhao Shengjia. They are scientists, but they could just as well be professional footballers: none of them are over 35 years old.

Why is it important. When thinking about a boss within a modern business structure of a certain size, it is inevitable that team management, meetings and bureaucracy come to mind. However, this strategy of Chinese big tech is deliberately different from what we have in the West and is based on three reasons that SMCP explains:

• Institutional separation of research vs. product. A chief scientist looks to the future, he does not manage human teams or budgets.
• Competitive advantage in a saturated market, allowing you to build your own technologies without depending on third parties. If you have the best at home, you don’t have to ask for permission or sign abroad.
• The top youth asset. AI is evolving by leaps and bounds and with this movement, China is ensuring that it has those who have been at ground zero of the great milestones of recent years: elite universities or laboratories of renowned institutions such as OpenAI, Google or Princeton.

China is a world source of engineers. That China is a country of engineers is no secret: it is a plan that has been underway for 4o years. In fact, now he has opted to go one step further and accelerate doctorates. The Chinese labor market is already showing signs of some saturationwhich has also brought diversification, changing routes to avoid even setting foot in the university in its new bet on FP.

In any case, having an army of almost six million engineering professionals gives you an advantage with AI. And it has more than enough: it has engineers to export. Without going any further, the vast majority of signings of the Meta superintelligence team from last year they are Chinese. But young engineers who stay at home have an opportunity beyond joining a leading company in the sector: leading it.

Disclaimer: a chief scientist is not a CTO. It is worth remembering a difference between positions that are often confused: a chief scientist is not the director of technology. While the first profile investigates, explores and plans in the medium and long term without touching products or marketing, the second manages teams, designs architecture and meets business objectives.

Confuse both profiles or mix them, as the SMCP remembers what Alibaba or Baidu did, ends up subordinating science to the urgency of the market. In any case, it is a fragile position in a company that is not clear why it is needed.

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Cover | and Hyundai Motor Group and cottonbro studio