Vivienne Ming Warns of AI Divide

The sharp part here is that the failure mode is not model capability, it's user behavior. The same tools that can sharpen judgment can just as easily turn into high-speed cognitive offloading.

• –Ming's split between "substitution" users and "cyborgs" is a useful lens for how AI gets adopted in practice
• –For developers, the lesson is to build friction into AI workflows: validation, counterarguments, provenance, and human checkpoints
• –If speed remains the only KPI, teams will keep optimizing for agreeable output and lose domain intuition
• –The article reinforces a broader concern that AI literacy is becoming a real productivity and cognition divide, not just a tooling preference