The Impact of AI Adoption on Data Science, Cloud Computing, and DevOps Roles

Sunday, 20 October 2024, 18:14

AI adoption is set to significantly boost demand for data science, data engineering, and DevOps roles. As companies increasingly incorporate machine learning into their operations, the need for skilled professionals in cloud computing and related fields will surge. This shift marks a transformative change in the tech landscape for FY25 and beyond.
Indiatimes
The Impact of AI Adoption on Data Science, Cloud Computing, and DevOps Roles

Impacts of AI Adoption on Tech Hiring

The surge in AI adoption is reshaping hiring trends across the technology sector. Data scientists, data engineers, and DevOps roles are experiencing unprecedented growth as companies pivot towards more data-driven approaches. According to a recent analysis by TeamLease Digital, the demand for AI and machine learning (ML) skills is skyrocketing.

Growing Demand for Data Roles

  • 69% of job postings for data scientists in FY24 required ML skills.
  • Natural language processing (NLP) demand rose from 5% in 2024 to 19% in 2025.

Cloud Computing Job Growth

The shift to cloud infrastructures has intensified the hiring for cloud engineering and architecture positions. Experts anticipate that AI-related roles will witness a 17% increase this fiscal year, potentially reaching 25% in FY26.

Conclusion: The Future of Tech Hiring

This trend highlights the evolving landscape of business news in technology, where AI adoption is a pivotal driver of job creation in data and cloud computing sectors.


This article was prepared using information from open sources in accordance with the principles of Ethical Policy. The editorial team is not responsible for absolute accuracy, as it relies on data from the sources referenced.


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