
A new model for learning and work, incubated at Stanford
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As we live longer lives and technologies like AI transform nearly every industry, the familiar presumption of a life course – go to school, work for several decades, then retire – is getting harder to sustain.

India Built the World’s Back Office. A.I. Is Starting to Shrink It.
Artificial intelligence promises to automate the white-collar work that made India a tech powerhouse. The country is racing to adapt before it’s too late.

Broad-Access Institutions Could Lead Higher Ed’s AI Future. First, They Need Resources
AI is remaking higher education at extraordinary speed, upending long-standing assumptions about how students learn, how institutions operate, and how careers take shape. The stakes are high, especially for students who pursue higher education in order to advance economically...

Bipartisan Policy Center Releases Blueprint For National Talent Strategy: “A Nation at Risk to a Nation at Work”
Calls for federal alignment, clear career pathways, removal of barriers to keep U.S. competitive

Economic Singularity Is Coming: Why Pay Attention?
The phrase economic singularity is suddenly appearing across scholarly, technical, and public discussions. The central question is no longer whether artificial intelligence will transform work, but to what degree—and what follows.
Illustration by Ross MacDonaldWelcome to the Era of Relational Intelligence
Isabelle Hau shares that as AI begins to transform education, work, and social life, we need to focus on developing and expanding capacities essential for human flourishing.

The Future of Learning Looks Like Workforce Infrastructure
For years, “ed tech” was an umbrella term grouping schools, online platforms, courses, credentials, and software under one idea: technology applied to education. That shorthand made it easier for investors, policymakers, and institutions to talk about innovation without rethinking how learning fits into the economy. Today, it no longer explains what’s happening.

Long-Life Learning and the Age-Integration of Higher Education
A look at how colleges and universities can move from age-segregated institutions to age-integrated ones.

Rewriting Education’s Design Principles
As digital tools become more powerful and AI unlocks new possibilities for teaching and learning, the urge to move quickly toward tech-driven solutions is growing. In this article, Maria Anguiano, Entrepreneur-in-Residence at College Futures Foundation, examines the promise of innovations such as AI-enabled tutoring, automated advising, and personalized content at scale...

Achieving an adaptive learner
In this award-winning essay, Stanford’s Daniel L. Schwartz challenges traditional models of education that prioritize routine task mastery over adaptability and lifelong learning.
