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Skills shuffle in the AI era: Python, SQL, and AWS are on the high-frequency recruitment list

Skills shuffle in the AI era: Python, SQL, and AWS are on the high-frequency recruitment list

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Business Insider quoted the latest research from job search platforms Indeed and Glassdoor as saying that artificial intelligence is reshaping the structure of technology jobs in the United States, and there are two situations in the same market: a serious shortage of people for popular positions and overcrowding of competition for some positions. Research shows that traditional roles such as software engineers and developers, quality assurance engineers, product managers, and project managers are being cut at a higher rate as organizations reorganize around generative AI, while cybersecurity, data analytics, and AI team roles are most often newly resourced.

According to the report, Python, SQL, and Amazon Web Services AWS are the most frequently used skills in technology job postings in the first half of 2025, and positions in AI, Python, Google Cloud Platform GCP, and continuous integration and continuous delivery (CI/CD) have also increased significantly. Employers are increasingly looking at a single tool and preferring "skill clusters," such as mastering Python, machine learning, and data analytics at the same time, or having a combination of AWS, DevOps, and CI/CD capabilities.

The study is based on questionnaires and recruitment data from U.S. technology practitioners and reflects the structural adjustment trend in the U.S. market. The analysis believes that AI does not simply "replace" technical personnel, but increases the requirements for compound skills and experience levels, and entry-level job opportunities are relatively reduced. For job seekers, continuously complementing skills related to cloud computing, data and AI, and flexibly transitioning between adjacent roles is seen as one of the key strategies to cope with this change.

FAQs

Q: What is the main focus of this report?

A: Pay attention to how AI is changing the supply and demand structure of technology jobs in the United States, which positions are being cut, and which skills and roles are becoming more popular.

Q: In which positions are the most concentrated in layoffs?

A: Mainly concentrated in traditional technical or management positions such as software engineers and developers, quality assurance engineers, product managers, and project managers.

Q: What are the most scarce technology directions at present?

A: Cloud computing, cybersecurity, data analytics, and AI development teams are areas with a lot of new resources and a relative shortage of talents.

Q: What skill sets do companies value more now?

A: For example, Python is combined with machine learning and data analysis, or AWS is combined with DevOps, CI/CD, etc., instead of just looking at a single technology.

Q: Do these conclusions apply to the global tech workplace?

A: The research sample is mainly US technology jobs, and the structure of other countries and industries may be different, so it can only be used as a trend reference rather than a unified conclusion.

AI is reshaping the U.S. technology job landscape The job position in the US technology industry is differentiated BusinessInsider interprets the AI employment situation IndeedGlassdoor's latest tech jobs report Generative AI has led to a wave of layoffs in traditional positions The reasons behind the reduction of software engineer positions Quality assurance engineers are under pressure to lay off employees Product managers and project managers are optimized for trends Network security positions have become a new highland for employment Data analytics talent continues to be in short supply in the United States The AI R&D team has become the key direction of the addendum Python skills are the most popular in tech recruitment The combination of SQL and Python has become a standard skill AWS cloud computing capabilities have become a plus for job hunting The demand for GCP and cloud-native skills is rising rapidly Enterprises prefer multi-skill cluster technical talents Python Machine Learning Data Analysis Skill Group AWS DevOps CICD composite capabilities are highly sought after AI does not simply replace the work of programmers The job opportunities for junior engineers have shrunk significantly How to advance middle and senior engineers in the AI era Cloud-data-intelligent compound talents in the AI era The path for technologists to shift to data and AI positions Transform from traditional development to cybersecurity How to reshape professional competitiveness under the wave of AI American technology companies are restructuring around AI The new normal of science and technology employment where layoffs and expansion coexist AI raises the bar for experience and compound skills Cloud computing and AI-driven job structure adjustment Technicians should continue to make up for cloud computing and data AI-oriented career planning and skill upgrading strategies Use horizontal job transfers to cope with the shocks of the technology industry Ranking of the most common skills for tech recruitment in the United States What core roles are needed for generative AI projects? Enterprises no longer look at a single tool but at a combination of capabilities How programmers can make up for the shortcomings of data analysis Developers are transitioning to MLOps and platform engineering What keywords should be highlighted in a personal resume in the age of AI? Look at the layoff list to see which skills are becoming obsolete How to prove AI-related capabilities with project experience The enlightenment of the US technology employment trend for international students What lessons do global job seekers learn from the U.S. market? Halfway through his technical career, he turned to AI track advice Complement the Cloud Data AI Skill Set with online courses Combine the writing of skill clusters in your resume Transition path from traditional software positions to data engineering How do tech people assess the risk of being replaced by AI? Investment direction of scientific and technological skills for the next ten years Ways to migrate cloud and AI experience across different industries Practical advice on maintaining employment resilience under the AI wave

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