AI is reshaping the tech job market. These are the top roles in demand and the jobs most at risk.

"The tech hiring market is being pulled in two directions: a flood of candidates for certain roles and stark shortages in others. New survey data from Indeed highlights the unevenness of the tech talent landscape and the profound impact of AI on reshaping the skills employers need most. While many tech jobs attract an oversupply of applicants, the study found that key areas, such as cloud computing, data analytics, and AI development, are still starved for qualified professionals."

""What began as a cyclical downturn in tech hiring may now be entering a new phase - one shaped by the rise of AI, increased requirements, and less demand for entry-level talent," Indeed wrote in a report released on Monday. The study analyzed data from Indeed and Glassdoor on tech jobs, in combination with a commissioned survey of 1,035 tech workers in the US conducted by YouGov. Participants, primarily working in software and IT, answered an online questionnaire between late May and early June."

"Generative AI is reshaping career paths. The Indeed study identified tech jobs that have been axed the most when companies adjust their operations to embrace generative AI. Here are the top four roles that got cut in AI-inspired reorganizations: Software engineers and developers Quality assurance engineers Product managers Project managers Indeed found that after such reorganizations, companies often reallocated resources to new tech roles. Here are the top three areas that benefited: Cybersecurity Data analytics/analysis AI teams"

The tech hiring market shows an oversupply of candidates for some roles and acute shortages in others. Generative AI is shifting demand, eliminating positions such as software engineers, quality assurance engineers, product managers, and project managers while increasing investment in cybersecurity, data analytics, and AI teams. Employers are prioritizing skills like Python, SQL, and Amazon Web Services and raising qualification requirements, reducing demand for entry-level talent. Critical areas like cloud computing, data analytics, and AI development remain starved for qualified professionals, prompting reallocation of resources and a need for focused upskilling toward high-demand technical specialties.

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