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

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

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 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

What is meant by 'distributional tension' in the context of AI economic gains?

AI companies are required to distribute profits to all affected workers AI creates equal productivity gains for all workers regardless of skill level Distributional tension refers to AI models that provide uneven answer quality AI productivity gains are initially concentrated among AI company shareholders and skilled tech workers, raising concerns about inequality before benefits spread broadly

What is the purpose of a 'personal AI exposure audit' in career planning?

An audit shows which AI tools are approved for use in your organization To categorize your current tasks by AI substitutability and AI amplification potential — so you can focus energy on skills and tasks where investment has the highest career return It is primarily used to calculate how much of your salary should be replaced by AI tools A personal AI audit is required by employers to certify workers understand AI policies

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

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

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

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