¿Qué trabajos están más expuestos a la IA?

Las respuestas y explicaciones aparecen a medida que realiza el cuestionario.

1. ¿Qué mide realmente una puntuación de exposición a la IA?
   • 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. ¿Cuál fue la principal crítica a la estimación de Frey y Osborne de 2013?
   • 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. En el estudio "Las GPT son GPT", ¿qué trabajadores tendían a estar más expuestos que en oleadas de automatización anteriores?
   • Workers in routine manual jobs
   • Workers in outdoor physical jobs
   • Higher-wage and more educated workers
   • Only workers under age 25
4. Según el estudio de la OIT de 2023, ¿qué grupo ocupacional estuvo más expuesto en todo el mundo?
   • Agricultural workers
   • Craft and trades workers
   • Machine operators
   • Clerical support workers
5. ¿Por qué la guía menciona a los cajeros bancarios y los cajeros automáticos?
   • 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