LLMs spark anxiety over jobs, infrastructure

This is less a model debate than a state-capacity problem: the stress comes from knowing AI can help, but not knowing whether institutions can absorb it.

• –The coal/steam-train analogy is basically Jevons paradox: productivity gains often expand demand, so new roles may outnumber the old ones that disappear.
• –Pothole prediction is a good example of AI's public value because it is concrete, measurable, and politically legible.
• –The UK vs Singapore contrast is mostly about governance and execution, not raw model quality.
• –Teaching, triage, and accessibility are the kind of deployments that can make AI feel useful rather than disruptive.