AI will create more jobs than it destroys
Every previous automation wave ended with more work, not less — after a gap that was measured in years and paid for by the people in it.
An intermediate-level session of about 10 minutes. You join 3 other speakers already in the discussion. You get 60 seconds to prepare before it starts.
The historical argument gets made in the first minute and it is correct, which is the problem: previous automation waves did end with more work, and saying so settles nothing about the gap in between. That gap is where the discussion should live. Years long, paid for by specific people, not evenly distributed — a thirty-year-old whose role disappears is not consoled by employment statistics measured a decade later. The other half worth claiming is that this wave reaches work that previous ones did not, which is a claim you have to be willing to make precisely rather than dramatically. Groups that stay on whether it will happen produce nothing; groups that argue about who carries the transition produce something a panel can score.
Angles worth taking
- The history is right and settles nothing. The argument is about the gap, not the endpoint.
- Name who pays for the transition — which age, which role, which city — rather than "some workers".
- If you claim this wave is different, say precisely how. Drama without a mechanism gets dismissed.
- Net job numbers hide the churn underneath. Distinguish the total from the turnover.
- Someone will predict a specific year. Ask what it is based on rather than arguing with the number.
Ready to speak?
Free to start. You need a TalkDrill account to speak — reading this page does not.
Browse all group discussion topicsThe format
Speakers in the room
You plus 3 other speakers
Preparation time
60 seconds
Modes
Learn (guided) · Mock (exam-real)
How a group discussion session works
Read the situation
You get the topic and the real disagreement behind it — who wants what, and why the obvious answer is not obvious. No hunting for context.
Take your prep time
A short prep clock, the same as a real round. Enough to pick a position and one example. Not enough to write a speech, which is the point.
Get into the discussion
The AI participants open with their own positions and keep going. You enter when you find the gap, name what you are adding, and hold your turn.
Read the report
How much of the discussion was yours, whether you built on others or restarted, your fluency and clarity, and the two things to fix next time.
What you're scored on
A GD panel is not scoring the topic. Across every discussion below, the same four things decide the result, and they are what the report measures.
Contribute real points, build on what others say, and hold your share of the discussion without dominating it.
Content
Whether your points are real — an example, a number, a consequence — or a restatement of the topic in longer words.
Entry and airtime
Whether you got in at all, how often, and whether you held your share without running the whole room.
Listening
Whether you answered what was actually said. Building on someone, or disagreeing with their point specifically, scores far above a prepared line.
Delivery
Pace, clarity and steadiness under interruption — the part that decides whether a good point survives being made.
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