The "ordinary people" dividend under the AI wave: not replaced, but amplified

The 2026 National Two Sessions have just concluded, and the "smart economy" has been included in the government work report for the first time. From "artificial intelligence +" to "intelligent economy", the change in this expression marks that AI is deeply penetrating into our daily life from a technical concept. Faced with technology that iterates on a monthly basis, will ordinary people be swallowed by the wave or can they take advantage of the momentum? This article will combine the latest policy trends and true stories to explore how every ordinary person can find their own place in the AI era.

Say goodbye to "AI anxiety" and embrace the era of "smart economy" for universal benefit

Since the beginning of this year, we have noticed a phenomenon: with the popularity of open source models such as DeepSeek, and the free strategies of major manufacturers, the threshold for AI use is lowering as never before. As of December 2025, the scale of generative artificial intelligence users in my countryIt has reached 602 million people。

In the past, people were worried that "not being able to use AI is a new hurdle"; but this year's People's Daily critical review clearly pointed out that this is a false proposition of trafficking anxiety. In fact, instead of building high walls, AI is tearing down professional barriers. Whether township teachers use AI to assist in lesson preparation, or new farmers use AI to diagnose pests and diseases, the dividends of technology are benefiting the public at an unprecedented rate.

In this year's government work report, in addition to proposing "creating a new form of intelligent economy", it also particularly emphasized "improving employment and entrepreneurship measures that adapt to the development of artificial intelligence technology." This shows that the national level is passing institutional guarantees to pave the way for every ordinary person's transformation in the intelligent era.

This year, the true story of ordinary people and AI "carried" over

Theory is always macro, but individual stories are more touching. In "Six Ordinary People and the Year that AI Has Been Carrying", which has recently sparked heated discussions, we have seen several key changes:

1. From "burden reduction" to "evolution": tired, but valuable.

A year ago, we thought AI was a "burden reduction artifact" that helped us write weekly newspapers; now we find that AI is more like a "mirror" that forces out our potential. A 40-year-old human resources director of a cross-border technology company found that although AI took over as much as 75% of the preliminary work, the interviewer's human insights about "energy fields" and "communication costs" are still the absolute realm of mankind.

2. The spirit of "just collapse".

A middle-aged woman who left the traditional energy industry and devoted full-time to AI fashion design was surrounded by doubts when faced with complex open source platforms. But she chose to fight AI to the death, and started again when the system collapsed, and even learned to change the source code. Her sentiment is simple: "Machines are not so absolutely smart. In the end, everything still has to return to the essence of human beings."

These stories tell us:In the AI era, it is not the older people who are eliminated, but those who are unwilling to move forward.

Three keywords to seize opportunities: leverage, judgment, and temperature

Combined with current trends and experts 'views, for ordinary people who want to seize the dividends of AI, the following three directions may be worthy of attention:

1. Leverage: Let AI "work" for you, and you "make decisions"

The boundaries of AI are very clear: it can generate ten solutions, but it cannot make decisions for your company; it can write code, but it doesn't understand why the product does it.

The opportunity for ordinary people lies in "human-machine collaboration". The future working model will be:AI outputs it first, you set the direction, and then let it iterate. Leave repetitive and preparatory work to AI and invest the time saved in strategic judgment, resource integration, and experience polishing.

2. Judgment: Cultivate "soft skills" that AI cannot replace

In an era when everything becomes computable, capabilities that cannot be quantified are even more precious.

Empathy and Communication: The capture of emotions at the negotiating table, the driving of the atmosphere in the team, and the insight into the potential needs of customers are still unable to read these parts involving human nature.

Critical Thinking: AI can create "illusions" and fabricate information. When using AI to generate lesson plans or reports, you need to have the ability to review and identify the authenticity of information.

3. Temperature: Keep the background of "people"

As experts have said, AI is not an independent legal subject, and humans can rely on their independent identity to assume social responsibilities and build trust. In an era when AI can provide "standardized" answers, personalized services with warmth and personal IP based on long-term trust will become the most scarce resources.

History always has similar rhymes. Steam engines, electricity, and the Internet, every technological revolution is accompanied by pain, but in the end it has brought a larger industrial system and more diverse employment forms. The World Economic Forum predicts that by 2030, AI will create 170 million new jobs around the world.

AI is redefining what the "rice bowl" looks like, but it is also redefining the value of "people". When machines assume the responsibility of "how to do it", humans can finally be freed to ask "why do it?"