Companies are hiring for something AI can't do, a review of millions of job listings found

If you work in tech, AI might not be replacing your job, though it's changing what employers want from you.

A recent analysis by the labor and market data platform Draup found that while AI is changing technical roles, it isn't reducing demand for tech workers.

The report is based on an analysis of 2.85 million job descriptions from June 2025 to June 2026. It comes after years of layoffs across the tech industry, with some companies pitching AI as a way to operate with fewer workers.

Draup said AI is expanding the job market, not shrinking it. The company found that postings for software engineering, data engineering, and "development" and "operations" roles — known as DevOps — each had more than 40,000 active job descriptions.

"AI isn't reducing the need for technical talent, but it is changing what makes technical talent valuable," Draup CEO Vijay Swaminathan said in a post on the company's website.

Changing every role

AI and automation are changing every technical role, the report said, though in varying ways.

Skills centered on "judgment, design, and accountability" are proving more durable in the AI era, it said. The report added that workers' expertise about their roles and their ability to communicate are likely to remain important skills.

Specifically, the company found that systems design, debugging, data governance, and model evaluation remain important while routine work, such as "boilerplate coding" and manual testing, is at risk of automation.

As part of the review, Draup analyzed more than 1 million software development engineer job descriptions. It found that debugging and judgment during code review are likely to remain essential, while writing routine code or recalling syntax could become less important.

A shift for early-career workers

Employers are increasingly looking for workers who are familiar with AI tools, Draup found, with many job descriptions name-checking tools such as GitHub Copilot, Cursor, and Claude. They appeared in more than 60,000 listings for the nine job categories the company reviewed.

While the report found overall growth in demand for tech workers, the picture for entry-level workers in the field is more complicated.

"Expectations for early-career hires are rising fastest, because the routine tasks juniors once cut their teeth on are the most automated," the report said.

Draup said that could mean employers will need to "rethink traditional approaches to hiring, development and career progression."

That could mean helping junior workers develop their design, review, and judgment skills months, not years, into a role, Draup said.

The upshot, the report said, is for employers to "stop organizing technical talent around the tasks people perform today and start organizing around the capabilities that remain valuable when AI can perform those tasks."

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