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Julie Bornstein, a former digital strategy leader at Sephora, Nordstrom, and Stitch Fix, founded The Yes and Daydream to replace broken keyword search with AI systems that match human taste, joining retail insight, data science, and entrepreneurship.
Kate Crawford studies artificial intelligence’s social and political realities, arguing in Atlas of AI that machine learning depends on extracted resources, labor, and data, and that systems of classification and measurement operate as registries of power reshaping society.
Li Lu, founder of Himalaya Capital, adapted value investing to Chinese markets and identified BYD before consensus formed, grounding long-term ownership in deep research, intellectual honesty, and the actual discipline of holding for the long term.
Lina Khan reshaped modern antitrust by arguing that monopoly harm extends beyond consumer prices, using academic work and Federal Trade Commission leadership to examine how structural market power suppresses competition and wages while threatening democratic institutions.
Linda Stone, a former Apple and Microsoft executive, studies technology’s physical costs, naming “continuous partial attention” and “email apnea” to show how digital tools keep nervous systems chronically alert and quietly reshape the body.
Jake Stauch, an entrepreneur and Serval co-founder, moved from brain-controlled games for ADHD to AI-native IT service management, using “vibe coding” to accelerate workflow automation while emphasizing talent density, dual-agent safety, and full platforms over minimal products.
Lynn Conway transformed microchip design with scalable rules separating design from manufacturing, making complex silicon systems broadly producible; after IBM fired her for transitioning, she rebuilt her career and exposed the historical erasure of marginalized innovators.
Marvin Minsky, co-founder of the MIT Artificial Intelligence Laboratory and author of The Society of Mind, framed intelligence as mindless internal agents interacting to produce thought, while probing computing, learning, and why common sense remains extraordinarily difficult.