Oracle accounts for the largest single contribution to the AI-linked total, having cut more than 25,000 positions across several rounds of restructuring as it redirects investment towards cloud infrastructure expansion. Cognizant is preparing reductions of roughly 15,000 roles under an internal programme called Project Leap, shifting away from large delivery teams towards smaller, more specialised units. Meta has recorded 10,400 cuts in 2026, with around 8,900 of those connected to AI-driven restructuring as the company accelerates spending on recommendation systems and generative AI infrastructure.
The fintech segment is contributing its own share. PayPal announced a 20% workforce reduction affecting approximately 4,760 employees over three years, targeting at least $1.5bn in operating expense reductions while accelerating AI adoption. Block cut around 4,000 roles in late February. Cisco's latest round adds a further 4,000 redundancies, framed as a shift of resources towards cybersecurity and AI infrastructure areas.
The pattern running through most of these announcements is consistent: labour-intensive delivery and support functions are being reduced as companies invest in systems that can substitute for or augment them. The 76,979 figure represents AI-linked cuts as tallied at May 20; the pace shows no sign of slowing, with Meta's 8,000-role reduction still rolling out at the time of writing.
The data reinforces what infrastructure spending trends already suggested: the shift towards AI is not additive. For many large technology employers, it is replacing headcount rather than sitting alongside it.
