Dell Layoffs 2026: Dell Technologies reduced its workforce by about 10% in fiscal 2026, or roughly 11,000 employees, signalling a continued effort by the AI server maker to limit external hiring and control
costs.
According to the company’s annual report, Dell had around 97,000 employees as of January 31, down from about 108,000 a year earlier. The company had also reduced its workforce by roughly 10% in fiscal 2025, indicating a multi-year effort to streamline operations.
Dell said it spent $569 million in severance payments during the period, compared with $693 million a year earlier, reflecting ongoing restructuring across its business.
AI disruption fuels job concerns in tech sector
Job security concerns have been growing across Silicon Valley as artificial intelligence reshapes hiring patterns in the technology sector.
Data compiled by Layoffs.fyi shows that more than 60 tech companies have laid off over 38,000 employees so far this year, highlighting the scale of restructuring underway.
Recent reports also indicated that Meta Platforms may be planning a major restructuring that could impact 20% or more of its workforce, adding to concerns about AI-driven disruption across the sector.
Despite the workforce cuts, Dell’s business outlook remains closely tied to the rapid expansion of artificial intelligence infrastructure. The company’s shares have gained more than 24% so far this year, and it expects revenue from its AI-optimised server business to double by fiscal 2027.
Earlier this year, Dell also announced a 20% increase in its cash dividend and approved an additional $10 billion share buyback programme, signalling confidence in its long-term growth prospects.
Dell unveils ‘AI India Blueprint’
Last week, Dell unveiled its ‘AI India Blueprint’ at the India AI Impact Summit 2026, outlining a national framework to scale artificial intelligence as a core component of India’s digital public infrastructure.
The blueprint, titled Advancing India’s AI Future: A Blueprint for Trusted, Secure and Nationwide Success, proposes a structured roadmap to move India’s AI ecosystem from pilot projects to large-scale deployment.
The framework aligns with key policy initiatives including the IndiaAI Mission and the Digital Personal Data Protection Act, 2023, and focuses on areas such as sovereign AI infrastructure, energy-efficient data centres, federated data systems, workforce development and governance.
India has previously scaled digital platforms such as Aadhaar and Unified Payments Interface (UPI), and the company said similar coordinated efforts will be required to expand AI capabilities nationwide.
Industry estimates cited by Dell project that AI workloads in India could grow at about 30% compound annual growth rate through 2030, with national compute demand expected to reach 12-15 exaflops by the end of the decade.
An exaflop refers to a computing performance capable of executing one quintillion floating-point operations per second, highlighting the scale of infrastructure required for advanced AI applications.
Dell also noted that data centres could account for up to 8% of India’s electricity consumption by 2030, underscoring the need for integrated planning around energy and digital infrastructure.
Three pillars: Invest, Innovate, Evolve
The proposed framework is structured around three pillars — Invest, Innovate and Evolve.
Under Invest, Dell recommends a national AI compute strategy with defined capacity targets, regional deployment linked to innovation clusters and open access for startups, academia, MSMEs and public institutions.
The Innovate pillar focuses on workforce development, with projections indicating that India may require nearly one million AI professionals by 2030. Recommendations include expanding AI literacy, establishing centres of excellence beyond major cities and creating specialised AI training programmes for government officials.
The Evolve pillar emphasises governance and security, including stronger cybersecurity standards, wider adoption of Zero Trust architectures and enhanced testing frameworks to mitigate risks such as data poisoning and adversarial attacks.
