SenseTime, Baidu, and Xiaomi showed why AI in China is seen as an assistant, not a replacement

Visits to the offices of Baidu, Xiaomi, SenseTime and other Chinese companies revealed a simple but important shift: AI is more often viewed not as a replacement for employees, but as a way to strengthen the entire team. Against the backdrop of Russian discussions about mass unemployment, such an approach looks not just calmer, but noticeably more practical.

Two different narratives

In the Russian information space around AI, two extremes still dominate. The first is anxious: neural networks will soon leave people without work. The second is dismissive: models are still too dumb, make mistakes and are not worth serious attention. The paradox is that these two thoughts often sound simultaneously, and sometimes from the same people. AI is called both a deadly competitor and a useless toy, and the conversation about implementation is reduced not to real scenarios, but to a struggle of emotions, fears and headlines.

The problem is that this view affects not only the media agenda, but also the setting of tasks within companies. If a manager comes to a team with the goal of "reducing people with AI," he automatically looks for a magic button for complete replacement. When it doesn't appear, disappointment follows, and pilots are declared failures. Even pragmatic projects in such a frame look modest, although it is they that usually give the first measurable effect: they save time, remove routine and speed up decision-making.

Chinese working logic

In China, the emphasis is noticeably different. During visits to technology companies, it became clear that there AI is more often perceived as an intern employee or assistant who needs to be directed, trained and gradually integrated into processes. He is not expected to achieve instant perfection, but he is expected to be useful today. If an agent is good at closing only part of a task, that is enough to give it a clear role and start collecting real value at the team level.

"Let AI lead our progress."

This formulation, which SenseTime uses, well reflects the general mood. It is not about the cult of technology and not blind faith in automation, but about working partnership: people discuss the task with AI, correct its mistakes, clarify context and thereby speed up the system's learning. In this model, the agent's imperfection is not a reason to stop implementation, but part of a normal cycle. First, AI helps on narrow segments, then gains more responsibility as the team understands its strengths and weaknesses.

Why implementation is faster

The "AI as assistant" approach is faster turned into practice because it does not require a perfect product on the first day. Companies can take low-hanging fruit tasks where the benefit is clear and the risk is limited. This reduces resistance within the business: employees are not sold a story about their own uselessness, they are shown a tool that removes routine. Because of this, experiments are easier to launch, easier to measure and more naturally scaled to other teams and functions.

• Draft texts, letters and reports
• Summarization of meetings and documents
• Finding solution options and preparing briefs
• Supporting analysts, developers and managers in daily tasks

This is where a cumulative effect arises. Each small case by itself may not look revolutionary, but dozens of such cases add up to new productivity. Teams process information faster, spend less time on repetitive actions and better use human expertise where it is truly needed. As a result, AI stops being a topic for debates about the future of the labor market and becomes a normal work layer — like search, messengers or corporate knowledge bases.

What it means

The Chinese experience shows that the speed of AI implementation depends not only on the quality of models, but also on the management framework. Where technology is required to strengthen people rather than immediately replace them, business gets results faster and teams more peacefully accept new tools.