A study covering 2.85 million job descriptions shows that AI is reshaping hiring standards for tech roles, but not significantly reducing demand for tech talent. Companies are placing greater emphasis on candidates who can collaborate with automation while also possessing judgment and design skills.
Demand for positions continues to grow
The labor and market data platform Draup analyzed job postings from June 2025 to June 2026. The results show that roles such as software engineering, data engineering, and DevOps continue to experience high demand, with over 40,000 active job descriptions for each category.
Draup believes that the change brought by AI is not about job loss, but about "which types of technical talent become more valuable." The traditional path of gaining experience through repetitive tasks is being redefined.
Repetitive tasks are easier to automate.
Research shows that capabilities such as system design, debugging, data governance, and model evaluation remain important. These tasks typically require experiential judgment, cross-team collaboration, and accountability for outcomes, making them difficult to fully replace by automation in the short term.
In contrast, tasks such as template-based coding, manual testing, and rote memorization of syntax are more easily taken over by AI tools. After analyzing over one million software engineer job descriptions, Draup found that judgment in code reviews and debugging skills remain core requirements, while the importance of routine code writing is declining.
AI tool experience has become a new barrier to entry
Companies are also increasingly valuing whether job candidates are familiar with AI tools. According to Draup, tools such as GitHub Copilot, Cursor, and Claude appear in over 60,000 job postings across nine categories they track.
This means companies are no longer focusing solely on programming skills but are also considering whether candidates can use AI to improve development efficiency, conduct reviews, and collaborate.
Entry-level position requirements are being raised
The study also found that demand for entry-level employees in the tech industry is rising faster. This is because many foundational tasks previously handled by entry-level workers are the first to be automated.
Draup believes that companies may need to adjust traditional talent development approaches by exposing junior employees to design, review, and judgment-based tasks earlier, rather than keeping them engaged in repetitive execution tasks for extended periods.
Looking at hiring trends, AI has not led to an overall reduction in tech roles, but it is reshaping the skill set required for technical positions. For job seekers, the importance of single, execution-focused skills is declining, while composite abilities—such as integrating tools, understanding business needs, and making informed judgments—are becoming increasingly valued.