Wonder's AI-driven promotion system uses peer scores and replacement difficulty to decide career advancement

Marc Lore's food-tech company Wonder uses an AI performance management system that analyzes scores from at least a dozen coworkers and a 'value above replacement' metric to determine promotions. The system also calculates how long employees should stay in a role, with human managers able to override but rarely doing so. Lore argues this reduces bias and makes promotions more objective.

Wonder's operational footprint has grown substantially alongside its AI management tools. The company operates 135 food halls across ten East Coast states and has raised roughly $3 billion since its 2018 founding, including a $650 million round at a $9 billion valuation this summer. Lore has stated the company could be ready for an initial public offering early next year. Automation extends beyond personnel decisions—kitchen systems can produce approximately 500 bowls per hour, compared to 45 for a human worker.

Lore's numerical approach to business dates back decades. His uncle recalled that even as a teenager, Lore would arbitrage horse racing rather than back a single favorite, betting smaller amounts across multiple horses. At Wonder, this philosophy manifests in a taekwondo-inspired color ranking system for organizational roles, progressing from white through black belts, alongside fully transparent compensation that lets employees see what colleagues earn.