AI Economy Quiz: How Ready Are You for the Transformation Ahead?

What does 'labor market polarization' or 'hollowing out' refer to in the context of AI?

All manual labor becomes higher-paid as AI takes over cognitive work AI causes job losses at all skill levels equally, regardless of task type AI causes rural labor markets to 'hollow out' as work becomes geographically concentrated in tech hubs High-skill and low-skill roles grow while middle-skill routine cognitive jobs shrink — creating an 'hourglass' labor market with fewer middle-income paths

According to occupational risk research, which role has the HIGHEST substitution risk from AI among the options below?

Electrician — requires physical presence and variable-environment problem solving Senior strategy executive — judgment, accountability, and stakeholder management dominate Data entry and processing clerk — core tasks (inputting data, document classification, basic form processing) are almost entirely automatable by current AI Mental health therapist — deep emotional attunement is the core product

What is the key distinction between task displacement and job displacement in AI labor economics?

Task displacement means AI takes over specific task types within a job; job displacement means entire roles become obsolete — the former is far more common There is no meaningful distinction — all task displacement eventually leads to job displacement Task displacement affects blue-collar work; job displacement affects white-collar work Task displacement is temporary; job displacement is permanent

Which statement about AI API output tokens is correct?

Output tokens are not counted toward API costs at the Sonnet/GPT-4o tier Output tokens are always cheaper because the model is just retrieving stored answers Input and output tokens are always priced identically at major providers Output tokens are typically more expensive per token than input tokens

A marketing team asks AI to generate 10 example customer personas for their advertising campaign. After reviewing the output, all 10 personas have similar demographic characteristics. What should the team do?

Explicitly prompt the AI to generate diverse personas across age, gender, background, and geography to ensure more inclusive representation Accept the default output — AI generates representative samples of actual customer data Add a disclaimer to the campaign noting AI was used Replace AI with manual persona creation to avoid bias entirely