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

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

What is the NIST AI Risk Management Framework and who is it intended for?

NIST's AI framework is a certification that AI products must earn before selling in the US NIST's framework is mandatory for all US businesses using AI A voluntary best-practice framework from the US government's technical standards body, designed for any organization deploying AI — providing structured guidance for identifying, assessing, and managing AI-related risks The NIST framework applies only to government agencies and defense contractors

A team builds a production application on an AI API with a stated 99.5% monthly uptime SLA. Approximately how many hours of potential downtime should they plan for per year?

~5 hours per year ~44 hours per year ~0.5 hours per year 0 hours — 99.5% means near-perfect reliability

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 Increase the volume of decisions made by AI to reduce human bias Add a disclaimer that AI was used in the decision Use the newest, most capable AI model available

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?

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