Yale World Fellows
Yale Jackson School's four-month, full-time residential fellowship for mid-career leaders from around the world.
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43 resources
Yale Jackson School's four-month, full-time residential fellowship for mid-career leaders from around the world.
BCG article (2026) on what chief executives can do to help technology leaders get their organizations ready for agentic AI.
Article by Laetitia Vitaud in Fast Company examining the push for more "masculine energy" in corporate culture, drawing on Women in the Workplace report data, 2025 labor market statistics, and the team-supporting work that goes unrewarded. Published October 7, 2026.
Website of Lean In, a women's career nonprofit founded by Sheryl Sandberg. Offers free resources on leadership, negotiation, and navigating the workplace, along with guides for running peer Lean In Circles and the annual Women in the Workplace report produced with McKinsey & Company.
Essay from the a16z.news newsletter (October 8, 2026) by Andreessen Horowitz on the chief financial officer role.
Essay by Meta CTO Andrew "Boz" Bosworth describing a step-by-step method for ramping up quickly on a new team: structured 30-minute listening sessions, mapping challenges, and building a network of contacts from scratch.
Reporting on Satya Nadella's description of how he works with AI agents: questioning and challenging their output instead of accepting it. A concrete example of how a major executive says he uses AI day to day.
An Amazon company-news post in which CEO Andy Jassy outlines how Amazon is using generative AI across its businesses and what he expects it to mean for the company's workforce. Published by Amazon about its own plans.
Joe Hudson and Brett Kistler's podcast on emotional intelligence, relationships, leadership and decision-making.
Why I recommend it: The podcast is free. The same company sells paid courses and coaching, which the episodes sometimes promote.
Free worksheets and tools from Collaborative Gain for workplace collaboration and team decision-making.
Why I recommend it: A consultancy's free tools — the page blocked our automated check, and it may ask for your email. Expect sales follow-up for paid services.
Manoush Zomorodi (NPR's TED Radio Hour) coins p(joy) as a deliberate counterpoint to p(doom), the probability-of-catastrophe number traded around AI circles: instead of estimating disaster, estimate whether satisfying moments are increasing in your life and what reliably creates them. The second half is a long interview with Brian Elliott of Work Forward on knowledge work right now — identity loss as machines take a skill you spent decades building, cognitive overload from supervising AI agents, and executives privately saying their best people and heaviest AI users are the likeliest to quit. Elliott's summary: human-led, AI-enabled, because nobody's competitive advantage is being average faster.
Why I recommend it: Read this the next time an AI doom number is quoted at you as though it were measured. The piece cites Gizmodo's plain point that no one at the frontier labs has an actual method for producing a p(doom) figure. The useful part is Elliott's three patterns in companies getting value from AI: a scorecard covering business impact, quality and employee engagement rather than tool usage; aiming at teams instead of individuals; and leaders using the tools in public, mistakes included. Free to read in full, no paywall.
Free profile of Palantir co-founder and CEO Alex Karp by Peter Westberg for Quartr, covering his background, leadership style and Palantir's move from niche defence contractor to a large listed company. Published 8 May 2024, updated 24 September 2025.
Why I recommend it: Quartr sells tools to investors, so this reads as a business profile rather than a critical examination of what Palantir's software is used for. Pair it with reporting from outside the investing world.
Palantir's own investor-relations page listing its executive team — Alex Karp, Stephen Cohen, Shyam Sankar and colleagues — with official titles and start dates.
Why I recommend it: A primary source, not commentary: use it to get names, titles and dates right before quoting anyone. It says what the company chooses to say about itself.
A regularly updated free collection of articles, videos, podcast appearances, research findings, books and downloadable tools on the future of work, from Brian Elliott's advisory firm Work Forward. Filterable by format and by topic — career development, culture at work, diversity and inclusion, flexibility, generative AI, leadership and management, return to office, technology adoption, and time and meeting management.
Why I recommend it: The downloadable tools are the part worth your time — they give you language for asking a manager about flexibility or AI workload without sounding like you are complaining. Elliott founded Future Forum at Slack and is unusually blunt about not trusting vendor-published studies, which is a point in his favor. Still: this is an advisory firm's library, so it exists to demonstrate expertise it sells. Read it for the questions, not the verdicts.
A paid fellowship for emerging leaders in social entrepreneurship, economic development, and the nonprofit sector. Fellows commit 20 hours a week from November 5, 2026 through June 30, 2027, work directly with the founder and team, and receive an $8,000 stipend on successful completion. Focus areas include leadership development, strategic planning, program design, research and data analysis, and community engagement.
Why I recommend it: Free to apply and it pays you — a rare combination. Read the time commitment honestly before applying: 20 hours a week for eight months is a real obligation alongside school or another job. Dates and the stipend amount are taken from their page as of September 2026; confirm both with the organization before you plan around them.
A global community run by AI for Good for young people who want to lead ethical AI work, with chapters, mentoring and calls for participation in ITU events.
From the site: Join the Young AI Leaders Community to empower youth, drive ethical AI innovation, and lead impactful change for a sustainable future.
Why I recommend it: Free and open to apply. Read the commitments before joining — it expects you to contribute, not just attend.
Profile synthesis and lessons from builders, leaders and operators across tech. Antoine distills recurring principles from thousands of profiles into practical takeaways on choosing what matters, building, leading and making work last.
From the site: Essays, profiles, and daily reading notes on strategy, operations, AI adoption, business systems, and gtm.
Essays, interviews and testimony from the former Google chief executive on AI, national competition and technology policy.
From the site: Read about new efforts that Eric Schmidt is involved in and views on critical issues shaping society today.
Why I recommend it: He invests in and advises on the industry he writes about, so read this as an interested party's argument rather than neutral analysis.
Shane Parrish's long-form interviews on decision making, judgement and learning, with free episodes and transcripts.
Why I recommend it: Useful on a commute when you're weighing a career decision and want better questions rather than quick answers.
Every post by Google's CEO in one feed — product announcements, AI strategy and company positioning, straight from the source.
Why I recommend it: Primary source material — worth reading before commentary about Google, not after.
Free essays on startups, hiring, productivity and ambition from OpenAI's CEO, including the widely read "How to Be Successful" and startup playbook posts.
Why I recommend it: Dated in places but still one of the clearest free reads on early-stage company building.
Personal essays from OpenAI's president on engineering careers, hiring, self-teaching and building technical teams.
Why I recommend it: His writing on how he taught himself and how he hires is the useful part — read those posts first.
Long-form essays from Anthropic's CEO on AI capability, safety, economics and policy, published free in full.
Why I recommend it: Read these directly rather than through summaries — they are the source most AI-safety coverage is quoting.
A one-page cheat sheet covering the five rules of effective communication, the three types of conversation (informational, emotional, social) and twenty persuasive phrases you can use in real conversations.
Why I recommend it: Print it and keep it beside you for a week of meetings and interviews. The twenty phrases are the part people actually use.