Which Jobs Are Most Exposed to AI Quiz

Answers and explanations appear as you take the quiz.

1. What does an AI exposure score actually measure?
   • The number of workers who will be laid off next year
   • How much of an occupation's tasks AI could technically speed up or perform
   • Whether workers in a job currently use AI tools
   • The average salary change caused by AI
2. What was the main criticism of the 2013 Frey and Osborne estimate?
   • It scored whole occupations even though jobs are bundles of tasks
   • It only studied jobs in agriculture
   • It used data from after generative AI was released
   • It excluded all office jobs
3. In the "GPTs are GPTs" study, which workers tended to be more exposed than in earlier automation waves?
   • Workers in routine manual jobs
   • Workers in outdoor physical jobs
   • Higher-wage and more educated workers
   • Only workers under age 25
4. According to the 2023 ILO study, which occupation group was most exposed worldwide?
   • Agricultural workers
   • Craft and trades workers
   • Machine operators
   • Clerical support workers
5. Why does the guide mention bank tellers and ATMs?
   • To show that automation always eliminates the jobs it touches
   • To show that cheaper output and changing tasks can keep employment from collapsing
   • To argue that ATMs were a form of generative AI
   • To show that banking is the most AI-exposed industry
6. In Eloundou and colleagues' rubric, when is a task counted as directly exposed?
   • When an LLM could cut its completion time by at least half at equal quality
   • When a worker has ever used an AI tool for it
   • When the task involves any use of a computer
   • When the task pays below the median wage
7. What is a limitation of exposure indices that the guide mentions?
   • They cannot be calculated for US occupations
   • They always underestimate exposure for office jobs
   • Task lists lag reality, ratings are subjective and they ignore regulation and cost
   • They rely only on salary data
8. Why do researchers pair exposure scores with usage-based measures such as analyses of assistant conversations?
   • Usage data replaces the need for any occupational database
   • Usage data proves that exposed jobs have already disappeared
   • Usage data is required by law for exposure research
   • Usage data shows real adoption rather than only theoretical potential