Same week, roughly the same city, and a strange contradiction playing out in real time.
At Salesforce's Dreamforce event in San Francisco, tech leaders were having a heated debate about whether AI deployment needs to slow down. Concerns about ethics, safety, pace.
About an hour south, at the AI Infra Summit in Santa Clara, engineers from AWS, Oracle, Broadcom, Qualcomm, and d-Matrix were having a completely different conversation.
They were focused on building AI's infrastructure faster and more efficiently than ever.
So while one room debates hitting the brakes, another room is flooring the accelerator, laying down the roads, power, and factories that will run AI's future.
It's like telling a truck driver to slow down while the highway ahead keeps adding ten new lanes every single day.
Infrastructure doesn't wait for ethical consensus. It gets built now, with real money and real companies committed.
The real question isn't 'should we slow AI down.' It's whether anyone can actually stop a train that's already left the station.
🔗 Original Source & Reference: https://siliconangle.com/2026/09/17/full-speed-ahead-despite-calls-to-slow-ai-down-its-support-structure-is-on-the-fast-track/
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