Major technology companies have eliminated over 35,000 jobs worldwide in early 2026 across nearly 50 firms, redirecting resources toward artificial intelligence infrastructure, automation and cost discipline, according to Layoffs.fyi tracking data. Meta Platforms reduced Reality Labs by approximately 1,500 employees—10% of its 15,000-person metaverse division—in January, explicitly pivoting investments from VR/AR hardware toward next-generation AI development. Oracle plans thousands of cuts across divisions to offset cash pressures from $50 billion AI data centre capex supporting OpenAI, xAI and Meta workloads, with implementation potentially starting this month. Amazon executed 16,000 corporate layoffs in January, its second major reduction since October 2025, streamlining operations amid intensifying AI competition.
These moves reflect structural workforce evolution as firms prioritise compute capacity over headcount, with AI agents automating routine functions across support, marketing and product management.
Salesforce and others accelerate AI-driven headcount shifts
Salesforce quietly terminated nearly 1,000 roles in February, impacting marketing, analytics, product management and its fast-growing Agentforce AI platform despite $500 million ARR and 330% YoY growth. CEO Marc Benioff previously disclosed AI reduced customer support from 9,000 to 5,000, underscoring agentic systems’ productivity revolution. Block eliminated 1,200 positions while eBay and Pinterest contributed to the broader tally, with cumulative cuts approaching 80,000 when including late 2025 actions.
Layoff patterns cluster around AI-adjacent functions where automation delivers immediate ROI, contrasting hyperscaler expansions in data centre engineering and model deployment.
Enterprise implications of the AI talent realignment
Analysts describe 2026’s cuts as “maturation phase” restructuring rather than cyclical downturns, with firms reallocating savings toward GPU clusters, custom silicon and inference optimisation amid trillion-dollar AI backlogs. Indian IT services face parallel pressures as global clients demand AI-native delivery, potentially compressing margins on traditional outsourcing while creating premium opportunities in agentic orchestration and governance.
Professionals must prioritise AI fluency, with demand surging for skills in fine-tuning, RAG architectures and ethical deployment frameworks.
Global vs India: Contrasting AI workforce trajectories
While US Big Tech consolidates, India’s IT majors like TCS and Infosys report net hiring in AI verticals, leveraging cost arbitrage to capture outsourced model training, data annotation and enterprise integration workloads. Gartner notes 96% of Indian enterprises plan AI budget increases through 2026, potentially offsetting global contraction with domestic demand for localised solutions compliant with DPDP and data sovereignty mandates.​
The dichotomy underscores AI’s dual nature: disruptive to legacy roles, generative for specialised ecosystems.
