Guide-linked quiz · Hard Level
What Research Says About AI and Workplace Productivity Quiz
Tests key field experiments on AI productivity, the jagged technological frontier, and why task-level lab gains differ from firm-wide results.
Question 1 of 8
In the Brynjolfsson, Li and Raymond customer support study, which agents gained the most from AI?
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- In the Brynjolfsson, Li and Raymond customer support study, which agents gained the most from AI?
- The most experienced agents
- Novice and lower-skilled agents
- Managers only
- Agents who did not use the tool
- What did Noy and Zhang's 2023 Science study find about ChatGPT on writing tasks?
- It made writing slower but better
- It cut time by about 40 percent and raised rated quality by about 18 percent
- It had no measurable effect
- It reduced quality significantly
- What does the 'jagged technological frontier' describe?
- The uneven boundary of tasks AI does well versus poorly
- A new chip design
- A regional internet outage
- A pricing model for AI tools
- In the BCG study, what happened on the task designed to fall outside AI's abilities?
- AI users were more accurate
- AI users were less likely to get the right answer
- Nobody completed the task
- Results were identical
- What did METR's 2025 randomized trial with experienced developers find?
- They were about 55 percent faster
- They were about 19 percent slower while believing they were faster
- They stopped using AI entirely
- AI wrote all their code
- Which is a reason the guide gives for experiments showing larger gains than economy-wide studies?
- Experiments isolate tasks that suit AI, while real jobs mix many tasks
- Economy-wide studies use newer models
- Experiments never use randomization
- Workers refuse AI outside experiments
- Why does the guide warn against relying on self-reported time savings?
- Workers always overstate them on purpose
- METR's participants believed they were faster when measurement showed they were slower
- Surveys are illegal
- Self-reports are always lower than reality
- What historical pattern do economists compare AI's productivity effects to?
- The immediate boom from the printing press
- The lag in measured productivity after electricity and computers
- The decline of agriculture
- Stock market cycles
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