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Software engineering graduates are adapting by learning AI concepts and tools, getting hands-on experience through internships and projects, and following updated curricula that include machine learning and data science. Ongoing study and practical portfolios are needed to meet new employer expectations.
Generative AI speeds software development by automating repetitive, time-consuming tasks across the development lifecycle. It turns high-level descriptions into code, surfaces and fixes bugs more quickly, and produces prototypes so teams can iterate and deliver features faster.
The AEO software category expanded because companies are using AI-driven optimization and engagement tools that improve online visibility, user engagement, and return on investment. Wider use of AI chatbots and search-optimization tools lets businesses respond faster to customers and analyze larger datasets to guide decisions.