@cxjwin: Fu Qiang from Moonshot AI proposed an interesting "AI Native talent view". It's not about "who works harder", but redefining: in the AI era, what kind of people are more valuable. There are five levels:

Fu Qiang from Moonshot AI proposed a fascinating “AI Native Talent Framework.”

It’s not about “who works harder,” but a redefinition of:

In the AI era, what makes someone more valuable.

There are five layers:

Layer 1: Curiosity > Being Right

Curiosity matters more than always being right.

In the past, organizations rewarded “making fewer mistakes.” In the AI era, we need to reward “exploring more.”

Because truly new opportunities often lie in places where no consensus exists and no one dares to guarantee correctness.

Layer 2: Taste > Consensus

Independent judgment matters more than following the consensus.

AI lowers the barrier to information access, making “correct answers” increasingly cheap.

What’s truly scarce is:

Can you look at the same information as everyone else, yet make a different and better judgment?

Layer 3: AI Scale > Single-threaded Effort

Using AI to amplify yourself matters more than grinding alone.

An AI Native talent isn’t someone who just works harder;

it’s someone who distills their experience into Prompts, Workflows, Memory, and Agents, enabling their capabilities to be replicated infinitely.

In the future, the gap will be determined not by hours worked, but by leverage.

Layer 4: Learning Rate > Experience

Speed of learning matters more than past experience.

Experience still has value, but its shelf life is shrinking fast.

What really matters isn’t “what you knew before,” but:

Faced with a new model, tool, or workflow, how quickly can you rebuild an advantage?

Layer 5: Generalization > Specialization

Generalization ability matters more than narrow expertise.

The strongest people in the future won’t necessarily be those who spent a decade in one role,

but those who can rapidly transfer methodologies from one domain to another.

Writing code, building products, understanding business, and leveraging AI — these capabilities will become increasingly integrated.

Taken together, these five layers essentially redefine talent in the AI era:

Not the most stable person, Not the most obedient person, Not the person who can endure the longest.

But the person who is most curious, has the best judgment, knows how to leverage tools, learns the fastest, and has the strongest transferability.

AI Native isn’t just about using AI.

It’s about reorganizing your entire skill structure around AI.

Basically Tsinghua/Peking/985 candidates.

Rare to find, and these talents mainly gravitate toward top experts.

All the major domestic LLM companies are similar — they’ve come to share internally.

Did you hit all the marks? What a talent.

Moonshot AI has strong overseas revenue.