Under the trend of AI-driven software, the 5 hard standards for the next generation of high-value software

--- Understanding these standards is essential to anticipate the form of next-generation applications and the future of Web3 applications

1️⃣ AI is the “Execution主体,” not just an “辅助工具”

Old software:

User clicks → System computes → User confirms

New software:

AI makes decisions → AI executes → Human audits

AI is not just helping you write copy, but:

Automatically running processes

Automatically calling resources

Automatically handling exceptions

2️⃣ Software directly binds to “results,” not “functions”

The next generation of software sells not:

“What I can help you do”

But:

“I am responsible for the results”

For example:

Automatically completing a compliance process

Automatically achieving a business goal

Automatically controlling risks within thresholds

👉 Responsibility binding = Moat

3️⃣ Software is a “long-term running system,” not a one-time interaction

Models are applications that solve:

Single issues

Immediate responses

The next generation of software addresses:

Continuous states

Long-term strategic play

Multi-entity collaboration

As long as the system requires:

State memory

Historical constraints

Traceability of responsibility

👉 Models are not enough; a software system is necessary.

4️⃣ Software deeply embeds “irreversible constraints” from the real world

For example:

Money (settlement, risk control)

Legal (contracts, compliance)

Physical world (energy, logistics, manufacturing)

The closer the software is to real-world friction, the less likely it is to be “swallowed by models as applications.”

5️⃣ AI actually increases system migration costs

This is the most counterintuitive point:

The deeper AI participates, the harder it is to replace the system.

Because:

AI learns your data

Your data is embedded in the system

The system is embedded in your organizational processes

👉 AI = Adhesive, not a destroyer (from the system layer perspective)