The tech industry is once again in a period of workforce reduction, with tens of thousands of jobs cut in 2026. This time, however, a new factor looms large: Artificial Intelligence. But AI is not a simple villain causing uniform job loss.
The Current Wave of Layoffs
Major technology
and IT firms have announced significant workforce reductions throughout 2026. Globally, more than 180,000 employees have been affected by AI-related layoffs this year alone. In India, the top five IT firms have also reduced their combined workforce. Companies like Oracle, Meta, and Microsoft have explicitly or implicitly linked these cuts to strategic shifts toward AI, either to free up capital for AI infrastructure or because new AI-driven efficiencies require fewer employees. This trend isn't just about trimming staff; it's a fundamental restructuring as businesses re-evaluate the skills they need in an AI-powered future.
Is AI the Real Culprit?
While many companies are citing AI as a reason for layoffs, the reality is more complex. Some analysts suggest that AI has become a convenient 'silver bullet excuse' for pre-planned restructuring or cost-cutting measures. The connection is often indirect: instead of AI directly replacing a person, a company might eliminate a division to invest more heavily in its AI department. However, in some cases, the link is direct. For instance, roles involving routine tasks like basic code generation, technical writing, and certain types of customer support are being automated. Enterprise Linux provider SUSE, for example, directly attributed recent layoffs to 'automation and AI', stating that AI is forcing a radical reimagining of how software companies function.
An Uneven Impact on Jobs
The impact of AI on employment is far from uniform, creating a clear divide between roles that are vulnerable and those that are resilient. Entry-level positions are particularly at risk, with over half of Indian IT companies reporting a reduction in such jobs as AI adoption grows. Repetitive, rule-based tasks found in some software testing, customer service, and data entry roles are most susceptible to automation. Conversely, jobs that require complex problem-solving, strategic oversight, and specialized skills are less affected. Roles in backend infrastructure, cloud engineering, and cybersecurity have proven more resilient because they are critical for building and maintaining the very AI systems being deployed. This creates a skills gap, where demand for some roles plummets while it surges for others.
The Rise of New and Evolving Roles
While AI is displacing some jobs, it is also creating entirely new categories of work. The World Economic Forum projects that while millions of jobs will be displaced, even more will be created by 2030, leading to a net gain. LinkedIn data also shows the creation of over a million new AI-related jobs in recent years. These are not just roles for data scientists. New positions like 'AI Governance Lead', 'AI Implementation Strategist', and 'Agentic Workflow Architect' are emerging, focusing on the management, security, and integration of AI systems. These jobs often require a blend of technical knowledge and business acumen, commanding high salaries. The trend signals a broader shift from routine execution to strategic oversight, where professionals work alongside AI to enhance their output rather than being replaced by it.
The Challenge and Opportunity for India
For India's massive IT workforce, this transition presents both a significant challenge and a major opportunity. Government think tank NITI Aayog has warned that without large scale reskilling, the tech sector could see a substantial reduction in jobs by 2031. The slowdown in entry level hiring by major IT service providers is an early sign of this shift. However, the same reports emphasize that strategic upskilling could lead to millions of new jobs. The demand is growing for professionals skilled in AI governance, data engineering, and cybersecurity. The future of India's tech industry will depend on its ability to adapt, moving from providing traditional IT services to becoming a hub for higher value, AI centric skills and innovation.
