Quiz: AI and Work

Test your understanding of Chapter 10's key concepts. Try to answer each question before looking at the explanation.

Question 1. What is the key insight of the "task-based framework" for understanding AI's impact on work?

  • (A) AI will replace all jobs within the next 20 years
  • (B) AI automates specific tasks within jobs, not entire jobs
  • (C) AI only affects blue-collar manufacturing jobs
  • (D) AI creates exactly as many jobs as it destroys

Answer: (B). The task-based framework, associated with economists like Acemoglu and Restrepo, argues that we should analyze AI's impact at the task level, not the job level. Any job is a bundle of tasks, some of which AI can perform and some of which it cannot. This approach avoids both the panic of "AI will replace all jobs" and the dismissal of "AI is nothing to worry about."

Question 2. A hospital deploys an AI system that screens X-ray images for obvious abnormalities, flagging them for radiologists to review. The radiologists spend less time on routine screening and more time on complex cases that require expert judgment. This is best described as:

  • (A) Pure automation
  • (B) Pure augmentation
  • (C) Both automation and augmentation
  • (D) Neither — the AI is just a tool

Answer: (C). The AI automates the task of initial routine screening (replacing the human in that specific task) while augmenting the radiologist's ability to focus on complex cases (enhancing their effectiveness). Most real-world AI deployments involve both automation and augmentation simultaneously, applied to different tasks within the same role.

Question 3. Which of the following job characteristics makes a role less susceptible to AI automation?

  • (A) The role primarily involves processing structured data in a digital environment
  • (B) The role requires physical manipulation in unpredictable, unstructured environments
  • (C) The role follows standardized procedures with clear rules
  • (D) The role involves repetitive cognitive tasks with well-defined inputs and outputs

Answer: (B). Tasks requiring physical dexterity in unstructured, unpredictable environments (skilled trades, emergency response, physical caregiving) remain difficult for AI and robotics. Options A, C, and D all describe characteristics that make tasks more automatable. This is why some of the "safest" jobs from automation are hands-on roles like electricians and plumbers.

Question 4. "Algorithmic management" refers to:

  • (A) Using algorithms to design better management training programs
  • (B) Teaching managers to use AI tools for team communication
  • (C) Using automated systems to assign, monitor, evaluate, and discipline workers
  • (D) Replacing all human managers with AI systems

Answer: (C). Algorithmic management is the use of AI and automated systems to control the work process — deciding which tasks workers perform, monitoring their performance in real time, evaluating them through metrics, and disciplining or rewarding them based on algorithmic assessments. It's distinct from AI that replaces workers (automation) in that the workers are still present — they're just managed by machines rather than humans.

Question 5. A key difference between AI automation and previous waves of automation (such as factory mechanization) is:

  • (A) Previous waves never actually eliminated any jobs
  • (B) AI is reaching into non-routine cognitive work that was previously considered automation-proof
  • (C) Previous waves only affected agriculture, not manufacturing
  • (D) AI is the first technology to require worker retraining

Answer: (B). While previous automation waves primarily affected routine physical tasks (factory work, agriculture) and routine cognitive tasks (data entry, bookkeeping), AI — particularly generative AI — is affecting non-routine cognitive work such as writing, analysis, and creative tasks. This is qualitatively new and is why the historical pattern of "automation creates more jobs than it destroys" may not apply in exactly the same way.

Question 6. Why is the concept of "labor market polarization" relevant to discussions of AI and work?

  • (A) It means AI will eventually create a single unified global labor market
  • (B) It describes how automation can hollow out middle-skill jobs while leaving high-skill and low-skill jobs relatively intact, deepening inequality
  • (C) It refers to political disagreements about whether AI is good or bad
  • (D) It means workers will have to choose between working with AI or working without it

Answer: (B). Labor market polarization describes the hollowing out of the middle of the job market. AI may accelerate this trend by automating middle-skill cognitive work (bookkeeping, paralegal work, customer service) while leaving both high-skill professional work (requiring deep judgment and creativity) and low-skill physical work (requiring presence in unstructured environments) less affected. This could widen the gap between high-wage and low-wage workers.

Question 7. A 55-year-old bookkeeper whose job is automated by AI faces different challenges than a 25-year-old bookkeeper in the same situation. This illustrates which aspect of AI's labor impact?

  • (A) AI only affects young workers
  • (B) The transition costs of automation are unevenly distributed along lines of existing social inequality
  • (C) Older workers are better at using AI tools
  • (D) Age has no effect on how workers experience automation

Answer: (B). The uneven distribution of AI's labor impact is a central theme of the chapter. Age is one of several factors (along with race, gender, geography, and socioeconomic status) that determine how a worker experiences the transition. Older workers may have fewer years to recoup retraining investments, may face age discrimination in hiring, and may have financial obligations (mortgages, dependents) that make career transitions riskier.

Question 8. "Human-AI teaming" is best described as:

  • (A) A competition between humans and AI to see who performs better
  • (B) The deliberate combination of human and AI capabilities in workflows designed to leverage the strengths of each
  • (C) Replacing all team members with AI except the team leader
  • (D) Using AI to monitor human team performance

Answer: (B). Human-AI teaming is about deliberate design — creating workflows where humans do what humans do best (contextual judgment, empathy, ethical reasoning, creative problem-solving) and AI does what AI does best (pattern recognition in large data, consistency, speed, tireless attention). The key word is "deliberate" — it requires intentional design of the interface between human and AI contributions.

Question 9. Which of the following is the strongest individual career strategy for an age of AI, according to the chapter?

  • (A) Becoming an expert in a single narrow technical skill
  • (B) Avoiding all AI tools to maintain purely human skills
  • (C) Building adaptive capacity — the ability to learn new skills and adapt to changing circumstances
  • (D) Switching to a career in AI development, since those jobs are safe

Answer: (C). While specific skills will change in value over time, the meta-skill of adaptive capacity — being able to learn quickly, transfer knowledge across domains, and navigate uncertainty — remains valuable across all scenarios. Option A is risky because narrow skills can be automated; Option B ignores the reality that AI will be integrated into most work; Option D assumes AI development jobs are immune to change (they're not — AI is increasingly used to assist in its own development).

Question 10. The chapter argues that individual career strategies are necessary but insufficient. Why?

  • (A) Because individuals can't learn new skills
  • (B) Because the structural challenges of AI-driven labor disruption require collective action and policy responses, not just individual adaptation
  • (C) Because AI is too complex for individuals to understand
  • (D) Because government should make all career decisions for citizens

Answer: (B). Individual strategies (learning new skills, building adaptive capacity) help individuals navigate change, but they don't address systemic issues like labor market polarization, the concentration of AI's benefits among capital owners, or the need for social safety nets during transitions. The chapter uses the analogy of a river changing course: individual strategies are like learning to swim, but structural strategies (policies, safety nets, retraining programs) are like building levees that protect the whole community.

Scoring Guide

  • 9–10 correct: Excellent understanding of AI and work concepts. You can distinguish between tasks and jobs, identify different types of AI impact, and evaluate claims with nuance.
  • 7–8 correct: Good grasp of the main ideas. Review the areas where you missed questions — pay particular attention to the distinctions between automation, augmentation, and algorithmic management.
  • 5–6 correct: Developing understanding. Re-read sections 10.2 and 10.3 carefully, focusing on the task-based framework and inequality dimensions.
  • Below 5: Go back and re-read the chapter. Focus on the key concepts box in the summary, then try the quiz again.