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

AI is changing what employers want from tech workers, but demand remains strong, according to an analysis of 2.85 million job listings.

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

AI and automation are changing every technical role, a report found.Alex Slitz/Associated PressAI isn't reducing demand for tech workers, but it is changing the skills employers value.Judgment, system design, and AI fluency are becoming more important, an analysis found.

Entry-level tech workers face new challenges as AI automates more routine tasks.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 roleAI 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 r

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