The people do not yearn for automation

Patel's argument isn't really about ChatGPT's numbers; it's about who gets to define what AI is 'for.' The rift he identifies sits between builders optimizing for efficiency and a public that hasn't asked to have its labor automated away.

The tension Patel describes runs directly underneath the infrastructure boom we've been tracking. The App Store surge story from April 18 framed AI-lowered development barriers as straightforwardly good news for the mobile ecosystem, but Patel's lens complicates that read: more apps built faster by fewer people is precisely the kind of automation story that generates public skepticism, not enthusiasm. Meanwhile, the Cerebras IPO and the RAM shortage coverage document a supply side that is scaling hard on the assumption that demand will follow. If Patel is right that popular sentiment is souring on the automation premise itself, the companies building that infrastructure are pricing in an adoption curve that may not materialize at consumer scale.

Watch whether major AI product teams, particularly OpenAI and Google, shift their public messaging away from productivity and automation framing toward creative or social use cases in the next two product cycles. A concrete signal would be a keynote or major campaign that avoids the word 'automate' entirely.