MasterCard's chief economist reveals that consumer spending is no longer a simple 'good' or 'bad' binary. Post-pandemic, spending is bifurcated by industry. For example, during the pandemic, hospitality suffered while home goods thrived. This trend is expected to continue, making one-size-fits-all economic analysis obsolete.

Prediction markets are no longer a niche hobby. Major outlets like CNN, Bloomberg, and The Wall Street Journal are integrating their data due to high accuracy, such as CalShi's 100% correct predictions on Fed rate cuts, making them a powerful tool for professional analysis and storytelling.

The financial stakes in prediction markets create a powerful incentive for aggregating accurate information quickly, often outpacing traditional journalism for forecasting political or economic outcomes. This reflects a fundamental shift in how truth and information are discovered and valued.

Economists believe the economic impact of geopolitical events will appear first in consumer behavior. Key leading indicators are not just UI claims but high-frequency metrics like air travel and credit card spending, as consumer pullback precedes business layoffs.

Prediction markets like Kalshi demonstrate superior accuracy over expert pundits, especially for quantifiable outcomes like Federal Reserve actions. The platform has a perfect record of predicting interest rate decisions because it aggregates the 'wisdom of the crowd' weighted by real money, which is a more reliable signal than opinion.

An economist created an AI agent that scrapes prediction markets, Wall Street analyst reports, and social media to produce a consolidated, real-time report on recession probabilities. It provides averages, distribution analysis, and corrects for nuances like differing time horizons in market data.

Delta's booking data, which runs 60-120 days in advance, is a powerful real-time economic indicator. With a significant portion of future revenue already secured, this proprietary data provides a forward-looking pulse on consumer confidence and spending intentions, often ahead of traditional economic reports.

Payments giant Stripe created a new Chief Economist role to analyze its massive dataset of 70 trillion annual transactions. This provides a unique, real-time view into the global internet economy, covering both B2B and consumer spending, that traditional economic data sources lack.

Mastercard's CEO argues that AI models will eventually become commodities. The true long-term competitive advantage in the AI era comes from possessing a unique, high-quality, proprietary dataset, which for them is their global, sanitized transaction data.