When Everyone Can Use AI to Develop Software, How Do Software Companies Make Money?

In the past, when an enterprise wanted a management system, it either had to spend hundreds of thousands on custom development or pay annually to buy SaaS software.
Now it is different.
You only need to tell AI: I want a customer management system that can record customers, track sales, and automatically generate reports. AI may produce a runnable first version for you in minutes.

What does this mean?

The biggest change in the software industry may not be programmers being replaced by AI, but that software which previously had to be purchased is beginning to become something you can produce yourself.

This is not fantasy.
The 2026 Developer Survey released by Stack Overflow shows that 77% of surveyed developers build small scripts and automation tools, and 63% develop internal team tools. Among those using AI to build software, 54% say they are using AI-developed tools to replace commercial software.

Of course, this does not mean that 54% of the commercial software market has already been replaced. The survey also shows that overall, only 19% of developers develop software to replace paid vendors.
But a trend has already emerged:

Long-tail demands that software companies were previously unwilling to serve, or whose service costs were too high, are becoming something enterprises can solve themselves.

For example, a small enterprise needs a special quotation tool. In the past, it might have felt that custom development was too expensive and had to make do with generic software. Now, the team itself may be able to build a sufficiently usable version with the help of AI.

The impact of this on the software industry is far more worth attention than how many more programmers there are.
Because as the cost of software production continues to fall, competition will shift from who can develop a certain feature to who can truly solve the customer's problem.

01.Being Able to Build It Does Not Mean It Can Be Used Long-Term

However, there is a key reversal here.

Being able to build it does not mean it can be used long-term; being able to run does not mean it can bear responsibility.

If a personal bookkeeping tool makes an error, it may just cost a little extra time. But if industrial control, financial systems, or medical software have problems, what is involved may be production safety, financial loss, and compliance liability.
When enterprises buy software, they are buying not just code, but also continuous maintenance, data security, system integration, and someone to take responsibility when problems arise.

So AI may not eliminate all software companies, but it may first compress the software businesses whose features are easy to replicate and which lack unique value.

02.The Future Software Market Is Very Likely to Move in Two Directions

The future software market is very likely to move in two directions.

On one side, general-purpose software that is cheaper and easier to generate;on the other side, professional software that goes deep into industry processes, masters professional knowledge, and can deliver results over the long term.

For independent developers, opportunities have indeed grown. But do not mistakenly assume that a lower development threshold means it is easier to make money.
For traditional software companies, the real danger is not that AI writes code faster than you, but that customers suddenly discover:

the feature you sold them can be built by themselves.

As software becomes easier and easier to produce, what is truly valuable is no longer just the software itself, but your understanding of the business and whether you can continuously solve problems.

This may be the deep change that AI programming brings to the entire software industry.