If Every Company Has AI, Who Will Become More Valuable?

Have you ever wondered:
If every company has AI in the future, what kind of people will become more valuable?

Many people's first reaction:
Algorithm experts.
Large model scientists.
Top programmers.
But maybe not.
Because model capabilities are rapidly becoming widespread.
What is truly scarce is another capability:

People who can truly make AI change the enterprise.

Over the past 30 years, similar shifts have occurred in every technology wave.

When the internet first began to develop,
who were the most important people?
Programmers.
Because enterprises needed to move their business online.
Without programmers, the internet could not be deployed.

Later, the mobile internet era arrived.
Technology had matured.
The biggest challenge for enterprises became:
Why would users want to use it?
So product managers became increasingly important.
They were responsible for understanding users and turning technology into products.

Now the AI era has arrived.
The question has changed again.
Enterprises don't lack AI tools.
Rather, they don't know:
What exactly should AI change?
Which processes should be restructured?
Which roles should be enhanced?
How should data be connected?
How should the business be redesigned?

So a new key role has emerged: FDE.
Forward Deployed Engineer.

01Why Will FDEs Become Increasingly Expensive?

Because they understand three worlds simultaneously.
First:
AI technology.
They know where the boundaries of large models, Agents, and automation lie.
Second:
Enterprise business.
They understand real problems in production, sales, and supply chains.
Third:
Delivery.
They know how to turn an idea into a system that actually runs.

But there is a key distinction here.

Ordinary FDE:The customer raises a requirement, then a solution is developed. This value is limited. Advanced FDE:From one customer's problem, they find an industry-wide commonality. Then they turn it into product capability.

This is also why future AI competition will increasingly resemble an "experience war."
Model parameters can be copied.
Technical frameworks can be open-sourced.
But:

The real business experience of 100 enterprises,1,000 AI deployment scenarios,these are the assets that are truly difficult to replicate.

So what enterprises will compete for in the future may not be:
who owns the most AI tools.
But rather:

who owns the most people who understand AI, business, and delivery.

This is also why FDEs may become one of the most expensive talents in the AI era.
Because what they do is essentially completing a transformation:

Converting artificial intelligence into enterprise intelligence.

But here comes the question:
If every company needs FDEs,
should enterprises cultivate them internally?
Or should they rely on AI companies?

In the next issue, the discussion continues:
Why might every company need its own "AI transformation engineer" in the future?