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Stanford Digital Economy Lab

Coverage of Stanford Digital Economy Lab in the Nexus archive.

Earliest in view: May 26 · 09:00 UTCMost recent: Jul 25 · 21:30 UTC
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  • TECHNOLOGYJul 25 · 21:30 UTCSCMP CHINA
    The West is debating AI’s future with half the world absent

    Over 200 economists and AI researchers, including 16 Nobel laureates, signed an open letter organized by the Stanford Digital Economy Lab warning that AI could drive an economic transformation as significant as the Industrial Revolution, urging immediate institutional action. The article notes that 80% of signatories are from the West, highlighting the absence of global representation.

  • BUSINESSJul 22 · 11:00 UTCFORTUNE
    Exclusive: Stanford and ADP have new payroll data on Gen Z women losing ground to men in the job market—and AI isn’t the main culprit

    New data from Stanford and ADP reveals Gen Z women are experiencing slower employment growth than men in entry-level jobs, with AI exposure not being the primary cause. The study highlights that women are more likely to work in AI-exposed occupations and face slower growth across all job exposure levels, driven mainly by occupational distribution rather than AI-specific impacts.

  • TECHNOLOGYJul 13 · 12:56 UTCBUSINESS INSIDER
    Read the letter Eric Schmidt, Reid Hoffman, and top economists signed warning about AI's threat to jobs

    More than 200 economists, executives, and researchers signed an 88-word letter titled 'We Must Act Now' warning about AI's potential to cause large-scale job displacement. The letter, organized by Stanford Digital Economy Lab, calls for stronger guardrails as AI becomes 'radically more powerful' in the next decade. Signatories include Eric Schmidt, Reid Hoffman, Nobel laureates, and leaders from Google, Anthropic, and OpenAI.

  • TECHNOLOGYMay 26 · 09:00 UTCMIT TECHNOLOGY REVIEW
    It’s time to address the looming crisis in entry-level work.

    A 2025 Stanford study and 2026 Anthropic report reveal a 16% relative decline in employment for 22–25-year-olds in AI-exposed entry-level roles, while more experienced workers and low-AI-exposure jobs remain unaffected. The article urges reforms in education, government incentives, and corporate training to address AI's impact on early-career opportunities.

Stanford Digital Economy Lab · Dossier · The Nexus