Tech job market is polarizing, not just shrinking
Multiple reports show nearly 80,000 tech roles were cut so far in 2026 even as demand for experienced AI and engineering talent remains high in markets like India, creating a squeeze: too many junior engineers, too few experienced specialists. Companies are responding unevenly—some cutting at scale while others (for example TCS) raise salaries and invest in AI-ready talent—so the chief imbalance is skill-level, not headcount per se. (techradar.com) (businesstoday.in) (freepressjournal.in)
The tech job market in 2026 looks less like one door closing and more like two doors moving in opposite directions at once. Layoffs.fyi says 71,447 tech employees had been laid off across 80 tech companies by April 10, 2026, even while employers in several markets kept chasing people with deeper artificial intelligence and software skills. (layoffs.fyi) That split is why “tech jobs are disappearing” is only half true. The United States Bureau of Labor Statistics still projects 317,700 openings a year in computer and information technology occupations from 2024 to 2034, including about 129,200 openings a year for software developers, quality assurance analysts, and testers. (bls.gov 1) (bls.gov 2) What is getting cut first is the kind of work companies think software can now handle faster or cheaper. TechRadar, citing Janco Associates and United States labor data, said information technology unemployment rose from 3.9% in December to 5.7% in January in an earlier 2025 snapshot, while routine jobs like reporting and clerical administration were under the most pressure. (techradar.com) India shows the same pattern in a sharper form because it produces huge numbers of engineers but far fewer people who can build the hardest parts of modern artificial intelligence systems. Business Today reported in February that India has only about 4,000 to 5,000 “true AI specialists” inside a pool of roughly 18,000 to 20,000 professionals with some artificial intelligence exposure. (businesstoday.in) That gap gets bigger when you separate using artificial intelligence tools from building the engines underneath them. The same Business Today report says many workers are trained to apply tools, but far fewer can build models, infrastructure, or advanced systems from scratch. (businesstoday.in) A Deloitte India report published in March found Indian companies are adopting artificial intelligence faster than peers almost everywhere else. Deloitte said nearly 40% of Indian enterprise respondents reported significant or full use of artificial intelligence, versus a 28% global average, but only 4% reported “very high expertise” in generative artificial intelligence and 0% did so in agentic artificial intelligence. (deloitte.com) (businesstoday.in) So companies are hiring like a restaurant that needs one master chef and gets 500 applications from line cooks. There is no shortage of resumes in the pile; there is a shortage of people who can design models, run data infrastructure, secure cloud systems, and ship production software around artificial intelligence tools. (businesstoday.in) (freepressjournal.in) That is also why one company can cut jobs while another raises pay without either one contradicting the other. Free Press Journal reported on April 10 that Tata Consultancy Services said it would continue hiring freshers and experienced workers in artificial intelligence, data, enterprise solutions, software engineering, cloud, cybersecurity, and digital engineering, while giving top performers double-digit salary hikes and saying 270,000 employees already have higher proficiency in artificial intelligence and machine learning. (freepressjournal.in) Older outsourcing math made this easier to hide because growth used to come from adding more people to bill more hours. Business Today wrote in January that India’s information technology services industry grew to about $300 billion and six million jobs on that model, but artificial intelligence is breaking the link between headcount and revenue as coding, testing, documentation, and operations become more automated. (businesstoday.in) The pain lands hardest at the bottom of the ladder because entry-level workers are closest to the repeatable tasks software can absorb. A March 2026 NIIT skills-gap report, cited by Business Today, found job-readiness confidence at 82 out of 100 for senior professionals, 75 for mid-level workers, 68 for early-career workers, and 57 for students. (businesstoday.in) So the market is not simply shrinking. It is sorting people by how close they are to the core of the new stack: people who can build, tune, secure, and operate artificial intelligence systems are getting pulled tighter, while people trained for generic junior coding or routine support work are running into a narrower doorway. (comptia.org) (businesstoday.in)
