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Amazon’s AGI department finds humans are optional
Amazon has cut an undisclosed number of jobs within its Artificial General Intelligence (AGI) division, the unit responsible for building its large AI models, even as the company insists AI remains one of its top priorities. The move highlights a broader contradiction at play across the tech industry, where firms are simultaneously pouring huge sums into AI development while trimming the human workforce, including staff working directly on that technology.
The cuts form part of a wider restructuring in which Amazon has shed more than 30,000 jobs since October, including 16,000 announced in January, while committing roughly $200 billion in capital expenditure for 2026 towards AI infrastructure, custom chips and foundation models. Amazon has not disclosed exact numbers or affected teams, but employees have said the layoffs hit groups working on model customisation and post-training, with some citing cuts of around 10 percent; Reuters reported the reductions also affected teams led by AGI Data Services vice president Adeeb Shanaa and AGI Information vice president Vishal Sharma. The news comes less than a year after Amazon restructured its AI leadership under executive Peter DeSantis, who took charge of the AGI organisation to accelerate work on its Nova foundation models.
In short
- Amazon cuts jobs within its own AGI/AI division despite calling AI a top priority
- Part of a 30,000+ job reduction since October amid $200bn 2026 AI capex
- Model customisation and post-training teams reportedly hit hardest
Steelman: both sides, in good faith
The strongest fair case each way — we don't pick a winner.
The case for
If AI remains genuinely central to Amazon's strategy, cutting staff from the AGI division appears contradictory and suggests the priority claim lacks substance. Building artificial general intelligence requires experienced human researchers, engineers and strategists whose expertise cannot be replaced by capital expenditure alone. Eliminating roles in model customisation and post-training—areas requiring skilled human judgment—risks degrading the quality of development. This reflects a troubling industry pattern: companies claim transformative technologies are essential whilst treating the workers building them as optional, raising serious questions about strategic coherence and whether the stated priorities are sincere.
The case against
Maintaining investment in a field does not require maintaining every role within it. Strategic efficiency demands cutting underperforming or redundant positions even in priority areas; $200 billion in capital expenditure demonstrates genuine commitment to AI development. Infrastructure investment, custom chips and foundation models may deliver greater returns than certain human roles, particularly in areas like model customisation where scaled systems could reduce manual work. Companies must allocate resources where they create most value. Eliminating specific positions whilst preserving overall prioritisation and substantial funding reflects sound management rather than contradiction.
Explained simply
Amazon has prioritised the development of what it calls Artificial General Intelligence, or AGI, which refers to advanced AI systems designed to work across many different types of tasks. The company has committed roughly $200 billion towards AI infrastructure and advanced models for 2026, signalling its belief that this technology is crucial to its future.
Yet Amazon has recently cut jobs within its own AGI division, the team responsible for building these advanced systems. This reflects a pattern emerging across the technology industry, where companies are simultaneously investing record sums in AI whilst reducing their human workforce, including people working directly on AI development.
The cuts at Amazon appear to affect teams responsible for customising and training AI models, with reports suggesting reductions of around 10 per cent in affected areas. The company has shed more than 30,000 jobs overall since October, reflecting broader workforce reductions alongside its continued major investment in AI.