Oracle Job Cuts: AI Push Triggers Major Layoffs Across Indian Operations
Oracle layoffs slash 10% of Indian workforce as AI investments rise. Bengaluru, Mumbai hubs see significant job cuts.
Oracle Workforce Shake-Up: AI Expansion Drives Job Cuts in India, US

Oracle Corp. has laid off nearly 3,000 employees in India, cutting about 10% of its local workforce as part of a major restructuring to accelerate investment in artificial intelligence (AI) infrastructure.
The layoffs, first reported by Data Centre Dynamics, have hit Bengaluru and Mumbai the hardest, with additional cuts across Hyderabad, Chennai, Pune, Noida, and Kolkata. Employees in software development, cloud services, and customer support are among those most affected. Many described the move as abrupt, with limited information about severance packages or redeployment options, according to India Today.
Restructuring Tied to AI Investments
Oracle termed the move a “restructuring exercise”, aligning with global job reductions. The company recently signed a multibillion-dollar agreement with OpenAI to supply 4.5 gigawatts of U.S. data centre capacity, underscoring its shift toward AI-driven services.
Globally, Oracle has trimmed jobs across its cloud operations:
• 150 roles in the Seattle area
• 188 jobs in California’s Bay Area, including 143 at its former Redwood City HQ and 45 in Pleasanton
The affected positions include software developers, product managers, technical support analysts, senior executives, and IT leadership roles.
Headquarters Shift and Ongoing Job Cuts
Oracle moved its headquarters from Silicon Valley to Austin, Texas, during the pandemic and is now relocating to Nashville. In a recent regulatory filing, the company said workforce adjustments are periodic, citing “strategy changes, reorganizations, or performance issues.” Such restructuring, Oracle warned, can lead to short-term productivity drops and increased costs.
The layoffs mirror broader industry trends — Microsoft, Amazon, and Meta have all announced job cuts this year to offset rising spending on AI infrastructure and cloud capacity.