Amazon engineers in Seattle have publicly criticized the company for ramping investment in new AI data centers while conducting simultaneous workforce reductions affecting 30,000 employees.
The contradiction underscores mounting tension between cloud-infrastructure capex acceleration and labor-cost cutting, a pattern echoing across the AI infrastructure buildout race.