Global technology companies are cutting jobs at the fastest rate since the pandemic, with more than 73,000 tech workers laid off globally in the first quarter of 2026 alone, according to industry trackers. Major companies including Oracle have cut around 30,000 roles globally, with about 10,000 positions in India, while Meta and Google continue trimming teams as part of cost restructuring and AI-focused investments. As reported by ABP Live, this crisis could be different for India, where instead of losing talent, the country could finally manage to retain it. The real question is whether India will simply absorb these workers and move on, or if it will take this moment to create the next generation of world-class Indian companies. According to The Hindu BusinessLine, industry veteran Nilesh Shah warns that AI presents a decisive inflection point for India's massive IT ecosystem, which currently contributes ₹350 billion in foreign exchange earnings and supports nearly four crore livelihoods.
The latest major layoff announcements include Meta preparing to cut around 8,000 jobs in one of its biggest such moves in recent years, planning to reduce about 10% of its global workforce in the initial round with cuts expected on May 20. Snap Inc recently announced it will cut 1,000 jobs, roughly 16% of its full-time workforce, while Atlassian cut about 10% of its workforce, or 1,600 employees, as it shifted focus towards AI and enterprise customers. According to Reuters, most of those affected were in north America (40%), followed by Australia (30%), and India (16%). Oracle announced layoffs affecting around 30,000 roles globally, with cuts accounting for about 20% of Oracle's workforce in India, which stands at around 50,000.
Companies are shifting budgets toward AI investments at the expense of jobs, rather than AI directly replacing roles. According to workplace expert Andy Challenger from Challenger, Gray & Christmas, 30,000 layoffs have been blamed on AI so far in 2026, in contrast with 55,000 cuts in the previous year. As reported by ABP Live, companies are letting go of middle managers and senior engineers to save money, not because machines can do their jobs. The workers being cut have significant experience: engineers with 15 years in the field, product managers who built apps for millions of users, and architects who have designed major tech systems. Meta CEO Evan Spiegel noted in an internal memo that the restructuring is aimed at improving efficiency and speeding up growth, pointing to rapid advances in AI as a key factor that helps reduce repetitive tasks and better serve users, partners, and advertisers.
The AI revolution is creating a bifurcated labor market where some roles are being eliminated while others experience significant growth. According to Success Staff, LinkedIn data shows a 34% year-over-year increase in AI and machine learning engineering job postings, even as overall tech job postings declined 8%. Senior engineers and AI-fluent professionals at companies doing layoffs are seeing their compensation rise 12%-18% year-over-year. However, customer support, mid-level content creation, quality assurance, and compliance processing are being compressed or eliminated. Anthropic CEO Dario Amodei warns that a significant percentage of entry-level white-collar jobs could face automation within the next five years, while Microsoft AI chief Mustafa Suleyman suggests white-collar disruption could arrive for many workers within 12 to 18 months. A National Bureau of Economic Research study found that nearly 90% of surveyed executives reported that AI had no measurable impact on their workforce in the three years since ChatGPT launched.
India has three key advantages today that it didn't have ten years ago, with Nilesh Shah from Kotak Asset Management Company outlining a comprehensive strategy to capitalize on AI opportunities. According to The Hindu BusinessLine, India must strategically position itself within the evolving AI value chain rather than remain a passive consumer of global technologies. Shah emphasized application-layer innovation, noting that entrepreneurs should create apps using Large Language Models (LLMs) as a monetization platform, comparing it to building toll roads where businesses pay for access. He cited examples of Indian innovation in voice AI, highlighting platforms like Luna and Maya One as evidence that India can compete in high-value AI use cases. The country's massive deployment market with 750 million people using the internet creates a massive opportunity for creating apps in banking, health, and cloud services.
