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The problem gets worse in pipelines. When you chain multiple transforms – say, parse, transform, then serialize – each TransformStream has its own internal readable and writable buffers. If implementers follow the spec strictly, data cascades through these buffers in a push-oriented fashion: the source pushes to transform A, which pushes to transform B, which pushes to transform C, each accumulating data in intermediate buffers before the final consumer has even started pulling. With three transforms, you can have six internal buffers filling up simultaneously.
Meanwhile, other tech leaders have warned AI will eventually lead to fewer jobs. Amazon CEO Andy Jassy said last year the company would probably need a smaller headcount as AI started to automate tasks. And Salesforce CEO Marc Benioff said he “needs less heads” after reducing the company’s customer support workforce by 4,000 as AI takes over some work.