Zoho founder Sridhar Vembu said advancing artificial intelligence is driving large-scale layoffs at major tech companies [1, 2].
The trend highlights a shift in corporate spending where firms prioritize AI infrastructure over human capital. This transition affects thousands of workers across global tech hubs as companies reallocate budgets to maintain a competitive edge in automation.
During a discussion with Arnab Goswami, Vembu said the pressure of rising AI costs and server prices is forcing firms to fire staff to offset the expensive requirements of maintaining AI systems [1, 2]. This financial strain has contributed to a wave of reductions at companies including Oracle, Meta, Amazon, and Cisco [2, 3].
Industry data reflects a sharp increase in these cuts. Nearly 90 tech companies announced layoffs affecting roughly 82,000 employees in the first quarter [3]. The trend continued into the previous month, with reports stating that tech companies cut 33,000 jobs in April amid an AI spending push [4].
AI specifically contributed to these losses, accounting for 26% of the job cuts recorded in April [5]. The reallocation of resources suggests that the cost of computing power and AI development is now competing directly with payroll budgets.
While some industry leaders argue that AI will eventually create new roles, the current phase is defined by displacement. The financial burden of server-side infrastructure creates a scenario where staff reductions are used to fund the hardware and energy required for large language models [1, 2].
“AI is driving large-scale layoffs at companies such as Oracle, Meta, Amazon, and Cisco”
The current trend indicates that AI is not merely replacing tasks, but is creating a massive capital expenditure requirement that forces companies to shrink their workforces to afford the technology. As firms pivot toward AI-centric models, the cost of infrastructure—specifically servers and energy—is becoming a primary driver of corporate restructuring in the tech sector.
