FURTHER RESOURCES

Keep the journey going.

This course is just the start of our understanding of AI’s potentially profound impact on the economy and our careers.
Here are some further resources:

01

LISTEN

Interesting podcasts

02

READ

Books

A growing shelf for exploring the course questions beyond the syllabus.

Cover of Chip War
2022 · BOOK

Chip War

Chris Miller

Semiconductors as industrial policy, supply chains, and geopolitical power.

Learn more ↗
Cover of Co-Intelligence
2024 · BOOK

Co-Intelligence

Ethan Mollick

Practical ways students and managers can work with generative AI.

Learn more ↗
Cover of AI Snake Oil
2024 · BOOK

AI Snake Oil

Arvind Narayanan and Sayash Kapoor

A strong antidote to AI hype, explaining what current systems can and cannot do.

(Specific examples age, but its framework for evaluating exaggerated claims is durable.)

Learn more ↗
Cover of Empire of AI
2025 · BOOK

Empire of AI

Karen Hao

A deeply reported history of OpenAI, its ambitions, internal culture, and social consequences.

(Institutional history has lasting value.)

Learn more ↗
Cover of The Scaling Era: An Oral History of AI, 2019–2025
2025 · BOOK

The Scaling Era: An Oral History of AI, 2019–2025

Dwarkesh Patel, edited by Gavin Leech

Edited interviews with leading figures including Dario Amodei, Ilya Sutskever, Demis Hassabis, Mark Zuckerberg, and Eliezer Yudkowsky.

(Great firsthand interviews of the evolution of LLMs and companies in the AI space.)

Learn more ↗
Cover of The AGI Chronicles
2026 · BOOK

The AGI Chronicles

Kevin Roose

A reported history of the race toward artificial general intelligence, drawing on interviews and documents from OpenAI, Anthropic, and Google DeepMind.

(Similarly captures AI’s development to the present.)

Learn more ↗
Cover of The Algorithm
2024 · BOOK

The Algorithm

Hilke Schellmann

An examination of how AI is changing hiring, workplace evaluation, and management.

(Broad concerns about bias, transparency, and accountability will remain relevant over time.)

Learn more ↗
03

FOLLOW & READ

Interesting Substacks, blogs and articles on AI

04

CONTINUE AT STERN

Further courses on AI

Stern’s Fall 2026 AI specialization brings together technical foundations, management, governance, finance, marketing and economics. Course availability and requirements may change.

MBA SPECIALIZATIONArtificial Intelligence (AI)Explore the official specialization →
TECH-GB 2336

Data Science and AI for Business: Technical

TECH-GB 3336

Data Science and AI for Business: Managerial

TECH-GB 3332

Introduction to AI and its Applications in Business

ACCT-GB 3328

Financial Analytics Using Python and AI Tools

BSPA-GB 2390

AI & Governance

FINC-GB 2328

AI in Real Estate

FINC-GB 2390

AI in Finance

MGMT-GB 2395

Strategic Management of AI

MGMT-GB 3159

Leading in the Age of AI

MKTG-GB 2356

AI in Marketing Analytics

TECH-GB 2160

Software Engineering with AI

TECH-GB 3362

Emerging Technologies and Business Innovation

View requirements and the official course list ↗