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

A company plans to run a customer service AI chatbot handling 500,000 short conversations per month. Which cost dimension should they optimize first?

Use a smaller, faster, cheaper model (e.g., Haiku or Flash tier) since the tasks are short and high-volume Pick the model with the best score on the MMLU benchmark Always use the highest-capability model to ensure quality Choose the model with the largest context window

Which statement about AI API output tokens is correct?

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 Output tokens are not counted toward API costs at the Sonnet/GPT-4o tier

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 Mental health therapist — deep emotional attunement is the core product Data entry and processing clerk — core tasks (inputting data, document classification, basic form processing) are almost entirely automatable by current AI

Why is 'one and done' thinking about AI systems a failure pattern?

Organizations should replace AI systems with new ones every year as a best practice One and done thinking only fails for AI systems used in consumer products, not internal tools AI systems require ongoing monitoring and updating — the underlying model providers update their systems, data distributions shift, and usage patterns change in ways that can degrade AI performance over time AI systems are one-time costs and need no maintenance after deployment

For a worker in a high AI substitution risk role, what is the most effective adaptation strategy?

Upskill into adjacent roles with more human judgment content — a data entry clerk learning SQL and data analysis moves into an AI-augmented growth role rather than a declining substituted one Advocate for regulation that bans AI in your industry Specialize more deeply in the exact tasks AI is replacing to become the best human doing those tasks Avoid using AI tools entirely so that your role remains necessary

According to research on AI initiative failure, what is the most common root cause?

Change management and governance failures — not training users, not updating processes, and not establishing accountability — rather than the AI technology itself Organizations usually choose the wrong AI vendor AI technology is still too immature to deliver on organizational promises Most AI projects fail because the AI models are inaccurate

According to the WEF Future of Jobs 2025 report, what is the projected net effect of AI on global employment over the next 5 years?

The WEF projects AI will eliminate all roles currently performed by knowledge workers Net negative — more jobs will be eliminated than created Net neutral — the number of jobs created will exactly match the number displaced Net positive — about 170 million new roles created vs. 92 million displaced, though transition disruption will be significant

What does it mean for 'continuous learning' to be a 'core competency' in the AI era, specifically?

Continuous learning is a soft skill — the actual technical skills are stable and don't require ongoing updating Continuous learning in the AI era means taking formal certifications every year It means reading AI news headlines daily to stay informed about AI developments The AI tool landscape changes faster than any prior technology, so the meta-skill of integrating new capabilities quickly matters more than proficiency in any single current tool

What is the MOST important mitigation when an AI system is used to make decisions that affect people's opportunities (hiring, lending, parole)?

Increase the volume of decisions made by AI to reduce human bias Maintain meaningful human review and oversight of individual decisions — automated consequential decisions require accountability Use the newest, most capable AI model available Add a disclaimer that AI was used in the decision

Which AI capability allows a small business to maximize the reach of a single piece of content?

Using AI to repurpose one piece of content into multiple formats — blog to social posts, email, FAQ, LinkedIn article Having AI scrape competitor content and rewrite it AI translating content into multiple languages automatically Using AI to automatically post the same content to all platforms simultaneously

An HR software company uses AI to screen resumes. Under US law, what legal risk must they consider?

EEOC guidance holds that AI screening tools can create illegal employment discrimination even if not intentionally designed to — the disparate impact on protected groups triggers civil rights liability The only risk is GDPR compliance, which doesn't apply to US companies AI resume screening is permitted in the US only if the AI was built by a US company Resume screening AI has no legal restrictions in the US — employers can use any method

What is the specific goal for Days 31–60 in the 90-day personal action plan?

Days 31–60 are for rest — consolidating what was learned in the first 30 days Build an AI-assisted workflow for one recurring time-consuming task that reduces the time for that task by at least 30%, and experiment with one adjacent AI tool category Replace your entire current workflow with AI-generated processes Complete an AI certification course to demonstrate formal AI proficiency

McKinsey estimates AI could automate up to 30% of work activities by 2030. What does this mean for individual workers?

Only 30% of workers will have access to AI tools by 2030 30% of workers will lose their jobs by 2030 Workers in the bottom 30% of income will be most affected Most jobs contain multiple task types — some automatable, some not. Workers adapt by shifting focus to tasks AI doesn't perform well, not by entire jobs disappearing

What does 'permanent curiosity' as a continuous adaptation mindset mean in practice?

Assuming the AI landscape is always changing, running small low-stakes experiments with new capabilities, sharing what you learn, and testing your assumptions about what AI can and cannot do Replacing your entire workflow with new AI tools every six months Permanent curiosity means taking a new AI certification every year to maintain credentials Monitoring AI news to know which companies to invest in

A consultant generates proposals manually, which takes 3 hours each. They close 30% of proposals. What is the most direct AI impact opportunity?

Use AI to automatically send proposals without owner review to maximize volume Use AI to find and pitch leads, bypassing the proposal stage Use AI to generate first-draft proposals from a project brief, reducing the 3-hour task to 1 hour of review and customization — enabling more proposals at the same time investment Use AI to increase the proposal price to improve ROI per proposal

What is meant by 'AI governance' in an organizational context?

AI governance is the technical process of fine-tuning AI models AI governance refers only to government regulation of AI companies AI governance means ensuring the AI system is connected to the internet for current information The structures and processes that establish accountability for AI use: who approves high-risk uses, who is responsible when AI produces errors, how AI output quality is monitored, and what uses are prohibited

A small home services company typically responds to web inquiry forms within 24 hours. Competitors respond within 4 hours. How can AI most directly improve their competitiveness here?

Hire an additional customer service representative Remove the web inquiry form and replace it with a phone number Respond to all inquiries once per day at a consistent time Implement an AI tool that sends an automated, personalized acknowledgment and basic qualification response within minutes of form submission

A solo accountant wants to implement an AI chatbot on their website. Which capability is MOST appropriate to implement first?

Automated client onboarding that collects financial documents Processing client payments and scheduling automatically without human review Autonomous tax advice for website visitors FAQ response — answering common questions about services, pricing, and availability to handle basic inquiries 24/7

Which category of work is MOST protected from AI task displacement according to current research?

Language production tasks like email composition and first-draft writing Information processing and synthesis, which is well-represented in AI training data Physical dexterity in variable, unpredictable environments — like plumbing or electrical work — because AI models can't take physical action and unstructured physical contexts are difficult to automate Pattern recognition in structured, well-defined datasets

Why is AI's current impact on labor markets historically unprecedented compared to the computerization era?

Computerization actually increased employment in all categories; AI is uniquely destructive Previous technologies never displaced any workers; AI is the first to do so AI affects only manufacturing; previous technologies affected only service work For the first time, automation significantly affects knowledge workers — lawyers, doctors, writers, analysts — whereas previous technologies primarily affected manual and routine tasks, leaving white-collar work largely untouched