Tech sector job cuts continued through 2025. NRIs tracked effects on H-1B roles and India delivery centers.
TL;DR
- Trackers recorded between 122,549 and 209,838 tech layoffs for the year.
- April and October produced the largest single-month totals.
- AI automation drove reductions in coding, testing, and support positions.
- Indian IT services firms and Big Tech India offices faced secondary pressure.
- AI, cloud architecture, and cybersecurity roles retained stronger demand.
Key Drivers Behind 2025 Reductions
Companies cited efficiency gains from new tools. Routine engineering tasks moved to automated systems. Several firms flattened reporting lines to reduce management layers. Offshore teams in India experienced project cancellations when clients shifted spending toward AI pilots. H-1B holders encountered shorter job-search windows after termination notices.
One comparative view shows 2025 totals fell below 2023 peaks yet exceeded pre-pandemic annual averages. Demand remained concentrated in specialized skills rather than general development work.
NRI professionals faced added layers of complexity. H-1B visa holders must secure new sponsorship within 60 days of termination under current USCIS rules. Many reported delays in labor condition applications at replacement employers.
Intel cited process node transitions as a factor in its restructuring. Microsoft referenced integration of new AI platforms across product groups. Amazon pointed to overlapping corporate functions after prior acquisitions. These moves produced ripple effects at India sites where teams supported legacy codebases.
Month-by-Month Layoff Patterns
January opened quietly. February brought early acceleration at enterprise software vendors. March focused on reorganization at payments and security companies. April recorded the first major spike, led by semiconductor restructuring. May and June sustained pressure through product and engineering reductions. July marked another high point with repeated announcements from the same large employers. Later months showed smaller but steady activity as budgets closed.
February announcements clustered around legacy ERP vendors adjusting to cloud migration slowdowns. March cuts at fintech and cybersecurity firms followed venture funding contractions. April semiconductor moves included factory and design team reductions that touched NRI engineers on assignment in Oregon and Arizona. May and June saw product roadmap pruning at consumer internet platforms. July repeats came from firms that had already trimmed earlier in the year. August through October maintained lower cadence yet included notable October spikes at hardware and enterprise software groups. November and December tapered as fiscal year planning took precedence.
Companies With Large Indian Workforce Exposure
Intel, Microsoft, Amazon, Meta, and Salesforce each announced sizable cuts.
| Company | Estimated 2025 Layoffs | Primary Reason | India/NRI Exposure |
|---|---|---|---|
| Intel | 15,000-24,000 | Cost restructuring | Bengaluru R&D center |
| Microsoft | 15,000 | AI and org shifts | Hyderabad and Bengaluru teams |
| Amazon | 14,000 | Corporate efficiency | Bengaluru and Hyderabad operations |
| Meta | 3,000-5,000 | Performance reviews | India engineering roles |
| Salesforce | 5,000 | Support realignment | India delivery teams |
Intel reductions centered on older process technologies while preserving advanced node investments. Microsoft India teams handling Office and Azure support absorbed some of the global total. Amazon operations in Bengaluru adjusted after corporate function consolidation. Meta India engineering groups saw performance-based exits concentrated in mid-level roles. Salesforce delivery teams in India handled support realignment that overlapped with global support center changes.
NRI Career Adjustments Observed
Many professionals returned to India after visa windows closed. Others accepted contract roles while searching for new sponsorship. A first-hand account from an NRI who lost a product role at a major cloud provider in July illustrates the sequence: severance covered three months, during which he updated skills in prompt engineering and MLOps. Within four months he secured a position at a mid-size AI startup that valued prior enterprise experience. Family relocation added logistical strain, yet the new role offered remote options that eased the transition.
Additional cases showed similar patterns. One former Microsoft Hyderabad employee relocated back to Pune after 45 days of unsuccessful U.S. job search. She transitioned into a contract MLOps role at an Indian IT services firm before moving to a product company. Another NRI from Amazon Bengaluru accepted a cybersecurity position in Singapore that later converted to U.S. sponsorship. These examples highlight the value of maintaining dual-country networks and continuous skill updates in AI-adjacent domains.
Next steps
Review personal skill gaps against current hiring trends in AI tooling and security. Update LinkedIn profiles with measurable project outcomes. Maintain active networks in both US and India tech communities. Track official visa bulletin updates for any policy shifts.
