On the evening of March 13 at Shanghai’s Expo Centre, Haier Group chairman and CEO Zhou Yunjie used a product anecdote to make a larger point: artificial intelligence should answer real human needs, not chase headlines. Zhou, speaking at an AI full‑scene launch billed “Technology Evolution: The Echo of Love (AI),” described how a single comment under his Douyin video—requesting a machine that could wash clothes, underwear and socks separately, and attaching a quick sketch—prompted engineers to build what became the “three‑drum lazy washing machine.” The product booked more than 80,000 preorders in its first week and has since sold over 400,000 units worldwide, Zhou said, turning a casual user suggestion into a commercial success and a strategic exemplar.
The anecdote was a shorthand for Haier’s broader AI strategy: shrink the distance between user feedback and R&D, and treat AI as an enabler of precise, emotionally resonant solutions rather than a spectacle. Zhou outlined a set of principles—“not to be seen but to see; not to chase traffic but to gather hearts; not to sell products but to create dreams”—and offered hard numbers to back the approach. His personal account has received more than 9,000 product suggestions, 17 of which became formal projects, and Haier’s entrepreneur‑brand ecosystem claims some 190 million followers. The group says it is pushing AI into every business process and product, promising that AI will flow through operations “like blood.”
The timing of Haier’s pitch matters. Since last year the generative AI wave has generated both excitement and disquiet across China and beyond. New large models and mass consumer apps have proliferated, and with them a sense that many AI‑enabled products risk becoming noisy duplicates: abundant, superficially smart and shallowly useful. Zhou framed Haier’s reply to that glut as emphatically human: real luxury in an AI era will be “those authentic moments that move the heart,” not ever richer virtual experiences. The company is rolling out appliances equipped with what it calls AI Eye 2.0 and claims L4 intelligence for some devices, and it has packaged AI scenarios aimed at youth, families with children or pets, elder care, and health management.
Zhou’s public posture also dovetails with a prevailing elite consensus in China’s industrial circles. At the recent Two Sessions, fellow entrepreneurs offered complementary takes: Xiaomi’s Lei Jun envisaged a future liberated from drudgery, while Gree’s Dong Mingzhu stressed that AI must be a tool that accentuates product distinctiveness rather than displace the human element. Zhou himself submitted two proposals at the meetings—one urging breakthroughs in embodied intelligence to move AI from labs to front‑line industry, the other pushing boundaries on AI ethics to keep development aligned with social good.
For Haier, the story is both tactical and existential. Tactically, converting user suggestions into fast‑tracked products creates a feedback loop that can shorten design cycles and reduce the risk of feature bloat. Existentially, it positions the company against two hazards of the AI era: commoditization of smart devices into undifferentiated “smartness” and consumer alienation when technology feels detached from lived needs. By turning social media feedback into R&D triggers, Haier seeks both a competitive moat and an ethical narrative that AI development must answer to human voices.
The approach carries risks as well as opportunities. Rapidly scaling co‑created projects strains supply chains and quality control, while promising a near‑ubiquitous AI presence in operations invites scrutiny over data governance, privacy and algorithmic decision‑making. Zhou’s emphasis on “AI ethics” is an attempt to preempt such tensions, but translating high‑level principles into operational safeguards will test Haier and its peers. Meanwhile, a wider industrial push toward embodied intelligence—more sensors, more edge computing, more robotics—will raise costs and complexity even as it promises new categories of household automation.
If Haier’s model proves durable, it could become a blueprint for appliance makers and other manufacturers seeking to industrialize AI without surrendering the human touch. That outcome would reshape competition: winners will be those that can reliably convert scattered human signals into repeatable, safe, and scalable product experiences. For consumers, the payoff would be less about novelty and more about devices that actually resolve small, persistent frictions in daily life.
Ultimately, Zhou’s message is less a technological manifesto than a cultural one: in an era of proliferating intelligence, the distinguishing asset is the capacity for care—responsiveness, empathy and responsibility—that algorithms cannot fake. Haier’s challenge is to embed that care into factories, firmware and customer service at scale, while regulators and publics watch closely to see whether human‑centered rhetoric yields human‑centered outcomes.