Session 1: AI & Trustees - The New Operating Reality

Bill Gates (2023). The Age of AI Has Begun. GatesNotes
— Frames AI as a foundational shift, comparable to the PC and internet revolutions.

McKinsey (2023). The Economic Potential of Generative AI: The Next Productivity Frontier
— Benchmark analysis of AI’s $4.4T potential and why productivity gains will be structural, not cosmetic.

World Economic Forum (2023). Future of Jobs Report 2023
— Shows how AI, automation, and demographic shifts are reconfiguring labor and client expectations.

Forsgren, N., Humble, J., & Kim, G. (2018). Accelerate: Building and Scaling High-Performing Technology Organizations
— Evidence-based playbook for redesigning operations around speed, automation, and proof.

Department for Science, Innovation & Technology (2023). A Pro-Innovation Approach to AI Regulation
— UK’s regulatory blueprint; illustrates the global trend towards compliance “by design.”

Stanford HAI (2023). Measuring Trends in Artificial Intelligence
— The definitive dataset on AI adoption, investment, and impact across industries.

Stanford Digital Economy Lab (2025). Canaries in the Coal Mine? Six Facts about the Recent Employment Effects of Generative AI
— Latest research on AI’s early labor effects — crucial for boards to anticipate client and workforce shifts.

a16z (2023). The Economic Case for Generative AI
— Martin Casado lays out why generative AI represents a structural economic reset, not a fad.

Andrew Ng (2022, TED). How AI Could Empower Any Business
— Argues AI is infrastructure that must be embedded in every firm, regardless of size.

Wall Street Journal (2018). Artificial Intelligence: The Robots Are Now Hiring
— Early exploration of automation’s impact on labor — proof of machine-enforced processes in action.

Lex Fridman (2023). Marc Andreessen: Future of the Internet, Technology, and AI
— Macro view of AI’s role in sovereignty, control, and the new internet economy.

RSA (2017). Artificial Intelligence and the Future
— Policy-oriented overview of how AI reshapes governance and regulatory obligations.

Karpathy (2023). State of GPT (Microsoft Build)
— Technical deep dive on why LLMs can now automate compliance-level proofs.

Wolfram (2023). What is ChatGPT Doing… and Why Does It Work?
— Clear explanation of the mechanics behind generative AI, critical for fiduciary explainability.

Lex Fridman (2023). Sam Altman on GPT-4, ChatGPT, and the Future of AI
— Inside look at the trajectory of generative AI from OpenAI’s CEO.

Lex Fridman (2023). Marc Andreessen: Future of the Internet, Technology, and AI
— Extended conversation on AI’s role in reshaping institutions and economies.

Lex Fridman (2020). Ilya Sutskever: Deep Learning | Podcast #94
— Technical grounding in deep learning from one of AI’s leading scientists.

Lex Fridman (2018). Ilya Sutskever: Meta-Learning and Self-Play | MIT AGI
— Explores how self-learning systems evolve — relevant for understanding autonomous AI oversight.

Lex Fridman (2019). Deep Learning Basics: Introduction and Overview
— Accessible primer on the science behind the AI supercycle.

Andrew Ng (2022, TED). How AI Could Empower Any Business
— Doubles as a board-level conversation starter on why AI literacy matters.

a16z Podcast (2023). The Economic Case for Generative AI
— Extended version of Casado’s argument, framed in investor and strategy terms.