AI will eliminate 30% of all jobs in 10 years. Governments can slow it down at massive economic cost, or let it happen and retrain workers.
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Both options accept the premise (AI eliminates 30% of jobs in 10 years) — they disagree about what governments owe the people who lose their work. Slowing AI down is expensive in aggregate but distributes the cost of the transition; letting AI happen is cheaper in aggregate but concentrates the cost on the people displaced fastest. Retraining is the proposed shock absorber, but its track record is uneven.
Why people split
One side treats the speed of the transition as morally relevant — a fast change makes the workers shoulder the displacement, while a slow change spreads the cost. The other treats the slowdown as denial — automation gains compound, and refusing them just gives the gains to the country that doesn't slow down.
Educational perspective, not professional advice.
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What the split says
Every new capability quietly removes a previous choice — the question is whether that trade is worth it. Once votes come in, this section will show how voters balance capability against risk.
Worth asking yourself
- What would you give up to keep this capability?
- Who benefits from this, and who absorbs the risk?