Tech Layoffs: AI Blamed for Job Cuts
Oracle is reportedly preparing to cut 20,000–30,000 jobs as the company shifts billions toward building AI data centers. Analysts cite a sector-wide trend: over 35,000 tech jobs have been lost in early 2026, with Meta and Amazon following suit as escalating infrastructure spend for AI/ML is cannibalizing traditional IT roles. Staffing and contract workers are picking up AI skills 46% faster than the broader LinkedIn user base.
AI is increasingly linked to job cuts, accounting for roughly 20% (9,238) of the 45,363 tech layoffs in 2026. Companies like Block, WiseTech Global, and Livspace are reorganizing around AI-driven workflows, impacting traditional roles. RationalFX analysts warn this trend could extend beyond tech as more industries automate. Meta plans to nearly double its capital investments to between $115 billion and $135 billion in 2026, rivaling the GDP of Kenya. Amazon's capital spending reached over $100 billion in 2025, with AWS leading investments in AI and data centers. Amazon plans a bond sale targeting between $37 billion and $42 billion to finance AI infrastructure spending. Gartner expects AI to significantly transform 32 million jobs annually, potentially creating more jobs than it replaces by 2028 or 2029. Workflow-heavy IT roles like service desk, business analysts, and project managers are most at risk. However, AI also enables senior software engineers to expand into roles like business analysis or product management. Despite layoffs, 88% of enterprise leaders say basic data literacy is essential, and 72% say the same for AI literacy. However, nearly 60% report a skills gap in their organization. The World Economic Forum's 2025 Future of Jobs report identifies AI and machine learning specialists as among the fastest-growing jobs between 2025 and 2030. Upskilling programs are crucial, with staffing firms showing 46% faster AI skill acquisition than the broader LinkedIn user base. The UK government is expanding its AI Skills Boost program to upskill 10 million workers by 2030, offering free AI training and virtual badges. However, a Udemy study suggests professionals underestimate AI's impact on their roles, delaying needed upskilling. Oracle is investing heavily in AI infrastructure, with projects in Texas, New Mexico, Wisconsin, and Michigan. However, Oracle and OpenAI have abandoned a major Texas data center expansion amid financial pressures. Oracle has committed approximately $50 billion in fiscal year 2026 to fund AI data center construction across multiple U.S. states. Meta and AMD announced a deal to deploy AMD Instinct GPUs and EPYC CPUs starting in the second half of 2026. Meta is also the first hyperscaler to deploy Nvidia's Grace CPUs at a large scale as standalone chips. Nvidia remains the dominant AI hardware player, holding approximately 92% market share. AI is automating repetitive tasks, shifting focus to problem-solving, creativity, and decision-making. The most promising AI-related roles in 2026 include AI automation specialist, workflow designer, and AI operations manager. However, Anthropic's research indicates that AI adoption may reduce entry-level hiring, especially where tasks can be automated.
