Where Data Tells the Story
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As demand for artificial intelligence continues to reshape the labor market, job postings increasingly reflect a growing need for technical and infrastructure-related skills. According to an analysis from Stanford University’s 2026 AI Index Report, based on billions of U.S. job postings collected since 2010 by Lightcast (where a single posting may list multiple AI-related skills), demand for these competencies has surged across a wide range of fields over the past decade.
As our chart shows, programming and core technical skills remain at the top of the list. Mentions of Python in job postings rose from around 53,000 in 2013–2015 to about 259,000 in 2025, while computer science skills increased from roughly 97,000 to 257,000. At the same time, demand has expanded rapidly for skills linked to scaling and deploying AI systems. Postings mentioning scalability grew more than eightfold to around 198,000, while automation and workflow management also saw sharp increases, reaching about 191,000 and 186,000, respectively.
Cloud and data-related skills have likewise gained importance. Demand for Amazon Web Services surged from about 10,000 postings to more than 140,000 in 2025, marking the fastest growth among the selected skills. Data science and data analysis also recorded strong gains, underscoring the continued importance of extracting value from large datasets. Overall, the data highlights how the AI boom not just increases demand for specialized programming expertise but also for the infrastructure and operational capabilities needed to scale these technologies across industries.