This Is the Last Chance for the Post-80 Generation!

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Editor | Jia Ning  In-depth article No. 9893 : 2700 characters | 8-minute read

Business Trends

Today, in 2026, a major cycle has already begun.

AI may well be the last chance for those of us in the post-80 generation.

One. Opportunities from Cycles and Opportunities from Hot Trends Are Two Different Things

The mobile internet opportunity lasted more than 10 years. What grew out of it was not just platform-scale companies; it was online businesses, it was platform-scale companies, and, more importantly, it was a reshuffling of an entire generation's fortunes.

The main wave of the PC internet ran from 1998 to 2008. That was the era of the post-60 and post-70 generations.

Jack Ma founded Alibaba at 35, Pony Ma built Tencent at 27, and Robin Li returned to China to start Baidu at 31. When they took their seats at the table, the post-80 generation was still in school.

The main wave of the mobile internet ran from 2009 to 2018. This time, it was the post-80 generation's turn, including Zhang Yiming, Wang Xing, Cheng Wei, Su Hua, and Colin Huang.

Effort determines the floor; timing determines the ceiling.

Two. How Did the Post-80 Generation Win in That Wave?

Let's start with a few names.

Wang Xing, born in 1979, founded Meituan in 2010 at the age of 31. Before that, he had nine failures and one success.

Zhang Yiming was born in 1983. In 2012, at 29, he created Toutiao in a residential apartment on Zhichun Road. It was his fifth entrepreneurial venture. In 2025, he became China's first self-made richest person from the post-80 generation.

Cheng Wei, born in 1983, left Alibaba in 2012 to start Didi. Like Zhang Yiming, he was 29 at the time.

Su Hua, born in 1982, joined forces with Cheng Yixiao at Kuaishou in 2013. He was 31 at the time.

Colin Huang, born in 1980, founded Pinduoduo in 2015 at the age of 35.

What these people had in common was not intelligence, but their age bracket.

Around 2010, they were between 25 and 35 years old. Almost all had backgrounds in computer science or related fields such as communications. They believed in rationality, logic, and technology. Technology above all.

The post-70 generation, ten years older than them, had already secured its positions in the PC internet. The post-90 generation, ten years younger, had just left school and was not ready to seize the opportunity.

Cycles favor one kind of person most: those who happen to be the right age at the right time.

What did Colin Huang see back then?

People spent 40% of their daily phone usage time on WeChat, yet e-commerce transactions generated through social interactions accounted for less than 1% of the total. The infrastructure was already in place, but vast areas of the application layer remained empty. That time gap was an entire generation's opportunity.

Three. This Wave Rewards People with Years of Experience

The mobile internet wave rewarded newness. Whoever was closest to young people won.

Toutiao, Douyin, Kuaishou, and Pinduoduo all tapped into the freshest aspects of human nature.

The AI wave reverses this: it rewards depth.

There is now a consensus in the industry: the low deployment rate of agents cannot be blamed on models not being powerful enough. The real challenge is the next step: how to turn vast amounts of industry experience, business judgment, and nuanced decision-making that have never been written down as rules into something machines can understand, execute, and verify.

This statement is worth reading several times for every entrepreneur from the post-80 generation. What it describes is exactly what you possess—and have possessed for well over a decade, even twenty years.

These things are not in textbooks, nor are they in the training corpora of large models.

With AI here, you can break down your own judgment processes, nuanced decision-making, and industry know-how and turn them into agent workflows: build them once, invoke them repeatedly, and keep them working for 24 hours without clocking out.

Among the nearly 200 companies in this year's latest batch at Silicon Valley's YC accelerator, 56 are building agents. What they are taking over is not an individual software operation, but an entire workflow.

Take healthcare, for example. Healthcare companies rank first by number in this YC batch, with 22 companies. They are not doing peripheral work such as appointment registration and consultations, but AI surgical planning, AI billing, and simulating biological processes in the human body to develop new drugs—moving directly into the industry's most central activities.

The direction in China is the same. At this summer's World Artificial Intelligence Conference, enterprise agents were unquestionably the main attraction.

Deploying enterprise agents requires industry data, customer relationships, and an understanding of the business. Having industry data may be the entry ticket to this wave.

Who holds the data? Labeled data provided by ordinary people no longer offers additional value. Who holds the private data in each vertical field?

In the hands of a group of startups founded by the post-80 generation. This round, the good cards are in the hands of the post-80 generation.

Four. Why say this is the last time?

Major technology cycles come around every ten to fifteen years.

If the pace remains unchanged, the next major cycle will most likely arrive between 2035 and 2040.

How old will the post-80 generation be then? The oldest will be around 60 years old, and even the youngest will be over 45.

Counting from the end of 2022, this AI wave has been underway for almost four years now.

Seizing the same opportunity at 35 versus 50 can lead to entirely different outcomes. Toutiao, which Zhang Yiming founded at 29, would certainly not be the same company if he founded it again at 45.

Age does not determine whether you can win, but it determines how big you can win.

Let's do another calculation.

In a person's lifetime, physical stamina, experience, and resources rarely all come together at the same time.

During the mobile internet wave, the post-80 generation had stamina and drive, but lacked resources, connections, and credibility with capital providers. They could only start with the most lightweight consumer-facing applications. By the next cycle, they may have accumulated enough resources, but their stamina will no longer keep up.

In this AI wave, all three have come together for the first time for the post-80 generation: at around 40 years old, they can still physically handle the demands; with 20 years of industry experience, their judgment is sharp; and with companies, customers, and teams at their disposal, they have the ability to mobilize resources.

Some people also worry that AI will make companies no longer need people. That concern is misplaced: AI reduces replicable execution and amplifies non-replicable judgment.

For the first time, it gives people with twenty years of experience leverage: one person leading a team of agents can do what previously required an entire department. How much that leverage can accomplish depends not on strength, but on knowing where to apply it.

The dividends of experience and technology landing on one generation at the same time is something that happens only once in a lifetime.

So the word “last” should evoke excitement, not anxiety. We have caught the very train meant for us and welcomed a spring that arrived late.

Five. How to seize it: three actions

The first action: business owners must get involved themselves first and become heavy users.

The extent to which a business owner adopts AI determines the extent to which the enterprise adopts AI. The level of the owner's AI adoption sets the company's ceiling.

The second action: start with workflows and gradually embrace the business models of the AI era.

AI is no longer just entering workflows; it is also entering business models, reaching consumers, platforms, and enterprises.

Over this year, next year, and the year after, AI will bring major changes for consumers, merchants, and platforms alike.

During the sharing session of the recently concluded US leg of Bijixia's PPE (Politics, Economics, and Philosophy) course, cohort 26, titled “The Innovation Hero's Journey,” two seasoned professionals from e-commerce giant Amazon offered the same insight:

The future of e-commerce will enter the A2A (Agent to Agent) era. AI will handle the entire process, from comprehensive evaluations and purchase recommendations to even helping you buy with one click. E-commerce, social networking, and advertising—the three pillars of the mobile internet—will undergo enormous changes.

For details of the sharing session, see:

The third action: keep deepening the business barriers your company has built up over the years.

Making money depends on the business. AI helps the business; it will not replace it. Business depends on choosing a direction, allocating resources, exercising judgment, and delivering service. The business data all resides within the enterprise.

Also during this trip to Silicon Valley & Seattle, Wan Weigang, a renowned popular science writer, former physicist, and columnist for the Dedao app, gave an excellent presentation. He said: “In the future, anything worth doing repeatedly should be turned into an Agent. Our only bottleneck will no longer be capability, but ‘what you want’—your ideas.”

For the original text of Wan Weigang's presentation, see:

Six. Conclusion:

AI may be the last opportunity for the post-80 generation.

In 2026, it is AI's turn, and the turn of business owners from the post-80 generation.

Have you taken your seat at the AI table?

Cohort 03 of Bijixia's AI Tenfold Growth Camp will soon begin classes in Hangzhou. We will sit down with a group of entrepreneurs to truly integrate AI into their teams and turn tenfold growth from a slogan into figures on financial statements.

Scan the QR code to inquire about course details. See you in Hangzhou!

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Source: Bijixia · Read the original article