Curated Resources

The Network

The people to follow, the newsletters worth reading, the podcasts that deliver, the research that matters, & the communities where the real conversations about AI & facilitation are happening. Curated for quality, not quantity.

Community of people sharing knowledge — hand-drawn illustration

Thought Leaders to Follow

These are the people doing the real thinking in this space — not influencers, not content mills. Researchers, practitioners, & analysts whose work actually moves the field forward.

Josh Bersin

Industry Analyst & Founder, The Josh Bersin Company

Corporate L&D strategy, HR technology, AI in the workplace. His research on the $400B corporate training market being reinvented by AI is foundational reading.

The most cited analyst in corporate L&D. His frameworks shape industry direction.

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Dr. Philippa Hardman

Learning Scientist & AI in Education Researcher

AI-augmented instructional design, the ADDIE model rewired, & the AI Stack framework for learning design.

Bridges the gap between learning science & AI practice. Her AI Stack framework is essential.

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Ethan Mollick

Professor, The Wharton School, University of Pennsylvania

AI in education & work, author of Co-Intelligence. His classroom experiments with AI are shaping how we think about human-AI collaboration.

Runs the most rigorous real-world experiments on AI in education. His newsletter is mandatory reading.

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Donald H. Taylor

Chair, Learning Technologies Conference

L&D trends, technology adoption, & workforce development. His annual L&D Global Sentiment Survey is the industry benchmark.

His annual survey captures where the L&D industry is headed before anyone else.

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Elliott Masie

Chair, The MASIE Center & Learning Consortium

Learning technology & corporate training innovation. Has been at the intersection of learning & technology for decades.

One of the original voices in learning technology. His consortium includes Fortune 500 L&D leaders.

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Clark Quinn

Executive Director, Quinnovation

Learning science & cognitive science applied to L&D. Author of multiple books on learning engineering.

Brings rigorous cognitive science to practical L&D problems. No fluff, all substance.

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Amy C. Edmondson

Professor, Harvard Business School

Psychological safety, team dynamics, & organizational learning. Her work is now critical for AI adoption contexts.

The definitive voice on psychological safety — now more relevant than ever in AI-augmented teams.

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Donald Clark

AI in Learning Specialist, Author & Entrepreneur

AI applications in learning, history of learning technology. Author of AI for Learning & several other books.

Deep technical understanding of AI combined with decades of L&D experience. Calls out hype without mercy.

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Nick Shackleton-Jones

Author, How People Learn

Affective learning theory, performance-centric design. His 'resources not courses' approach is reshaping L&D.

Challenges fundamental assumptions about how training works. His affective context model is paradigm-shifting.

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Karl M. Kapp

Professor of Instructional Technology, Bloomsburg University

Gamification, interactive learning, & AI in talent development. His 2026 ATD analysis of uncertainty & anxiety in the field is essential reading.

Bridges academic rigor with practical L&D application. His work on gamification & AI is deeply research-backed.

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Megan Torrance

CEO, TorranceLearning & Author

AI implementation in L&D, xAPI, & learning analytics. Her upcoming book 'The AI Implementation Guide for L&D' (June 2026) is the most practical framework available.

Her 'go-kart vs. Formula One' analogy for AI adoption & the W.I.S.E. A.T. A.I. framework are worth the read alone.

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Debbie Richards

Strategic Learning Architect & ATD Author

Strategic learning architecture, Human-AI-Human framework, & R-T-C-F prompting for L&D. Coined the shift from 'order-taker' to 'strategic learning architect.'

Her three pillars (Enablement, Curation, Governance) and Human-AI-Human framework are immediately actionable.

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Markus Bernhardt

AI in L&D Specialist & ATD Author

AI agent evaluation, 'agent washing' detection, & responsible AI adoption in training. His five-question framework for testing vendor claims is essential.

The most rigorous voice on separating real AI capability from vendor hype in the L&D space.

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Josh Cavalier

AI Learning Strategist & ATD Contributor

The shift from content producer to 'Human-Machine Performance Analyst.' His ATD work on L&D's role in AI-driven workplaces is forward-looking & practical.

Reframes L&D's identity for the AI era — from order-taker to strategic performance partner.

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Angelo Biasi

Author, 10x Your Workforce — ATD Magazine

The 'Ultimate Skill Stack' (AI literacy + Human Intelligence + Systemic Innovation), Innovation per Employee metric, & workforce multiplication.

His framework for 4-10x productivity multipliers through human-AI skill stacking is immediately applicable.

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Essential Reports & Research

The institutional reports & academic papers that every L&D professional should have read. Not blog summaries — the actual sources.

Report

McKinsey: The State of AI in 2025

The definitive annual survey on AI adoption across industries. Key finding: 92% of companies plan to increase AI investments, but only 1% consider themselves 'mature.' One percent.

Try This

Find the chart on AI maturity levels. Honestly assess where your organization sits. Then ask three colleagues the same question. The spread tells you something important.

Read
Report

World Economic Forum: Future of Jobs Report 2025

Projects that 39% of core workplace skills will change by 2030. Critical thinking, creative problem-solving, & AI literacy are the fastest-growing demands.

Read
Research Paper

Harvard Business School: Navigating the Jagged Technological Frontier

The landmark BCG/HBS study showing consultants using AI improved 40% on some tasks but performed 23% worse on others. Introduced the concept of AI's 'jagged frontier.'

Try This

List five tasks you do regularly. For each one, guess: is AI above or below the jagged frontier? Test your guesses. The ones you get wrong are the most instructive.

Read
Report

Stanford HAI: AI Index Report 2025

The most comprehensive annual report on AI progress, covering technical advances, economic impact, policy, & societal implications. Essential context for any L&D professional.

Read
Report

SHRM: AI in the Workplace Survey 2025

45% of U.S. workers now use AI at work. Covers adoption patterns, concerns, & the HR implications of widespread AI use.

Read
Playbook

Board of Innovation: Playbook for Becoming AI-First

Despite $30-40B in GenAI investment, 95% of organizations see zero measurable return. This playbook diagnoses why & provides a practical roadmap.

Try This

Apply their 'for every dollar in tech, invest two in people' ratio to your AI budget. What does that rebalancing look like? That's probably closer to what you actually need.

Read
Research Report

ATD Research: AI in Learning and Talent Development

The most comprehensive survey on AI adoption in L&D. Key finding: 42% of organizations don't use AI at all, yet 75% plan to within 2 years. Budget (95%) & lack of skilled staff (94%) are the top barriers.

Read
Scenario Analysis

AI 2027: Scenario Analysis by Former OpenAI Researchers

A detailed, quantitative scenario prediction by Daniel Kokotajlo (former OpenAI), Eli Lifland (#1 RAND forecaster), & others. Predicts the impact of superhuman AI will exceed the Industrial Revolution. Essential context for understanding the pace of change.

Try This

Read the timeline. Pick the prediction you find most implausible. Research it. If you still disagree after 30 minutes, write down why. If you don't — that's worth sitting with.

Read

ATD Articles & Analysis

The Association for Talent Development is producing some of the most substantive writing on AI in L&D. These are the articles worth your time — real analysis from practitioners, not recycled press releases.

ATD Blog

Human at the Helm: L&D's Role in an AI-Driven Workplace

Josh Cavalier argues L&D must evolve from content producers to 'Human-Machine Performance Analysts' — diagnosing why people can't perform, not just building more courses.

ATD Blog

The Evidence Gap in L&D, and the Shift That Closes It

Blake Proberts on why L&D must move from activity-based metrics to capability-led approaches. The gap between what we measure & what actually matters.

ATD Blog

2026: A Year of Uncertainty and Anxiety in Talent Development

Karl Kapp's essential analysis: AI agents complete only 30% of tasks autonomously, soft skills are more critical than ever, & the field is navigating unprecedented anxiety.

ATD Blog

How AI Coaching Data Helps Talent Leaders Prove Leadership Readiness

Kirsten Moorefield on using behavioral data over completion rates. AI coaching generates rich data that can prove leadership readiness in ways traditional training never could.

ATD Blog

Beyond Automation: Why Talent Teams Need AI Tools to Succeed

Brian Wallace on treating AI as a strategic partner, not just an automation tool. The shift from 'AI does tasks' to 'AI amplifies human capability.'

ATD Blog

The Hard Truth About Soft Skills (And How AI Can Help)

Maria Walley on AI simulations producing 65% better de-escalation outcomes. The counterintuitive finding: AI is actually quite good at helping develop deeply human skills.

ATD Blog

Developing Leaders in the Age of AI: Why the 'Being Side' Is Now the Differentiator

Dan Hodgkins argues the 'being side' of leadership — emotional intelligence, self-awareness, presence — is now the true differentiator, not the 'doing side' that AI can replicate.

Newsletters Worth Reading

Signal, not noise. These are the newsletters that consistently deliver insights worth your time.

One Useful Thing

Ethan Mollick's essential newsletter on AI's impact on work & education. Practical, research-backed, & consistently ahead of the curve. The single best newsletter at the intersection of AI & learning.

Try This

Read his latest post. Pick one AI experiment he describes. Try it yourself within 24 hours. That's the whole point of this newsletter.

Subscribe

Dr. Philippa Hardman's Substack

Deep dives into AI-augmented learning design, the future of instructional design, & evidence-based approaches to AI in education. Her analysis of how AI changes the ADDIE model is essential.

Try This

Find her AI Stack framework post. Map your next project's tasks against it. Which AI tool fits each phase?

Subscribe

The Josh Bersin Company

Industry-level analysis of HR technology, corporate training trends, & the business case for AI in L&D. The most comprehensive source for understanding where the corporate learning market is headed.

Try This

Pull one stat from his latest report. Present it to your team without context. Watch the reactions. That's your opening for the AI conversation.

Subscribe

ATD Links

ATD's newsletter on professional development, training, & workplace learning. Broad coverage, solid editorial standards. Not flashy, but reliable.

Subscribe

The Educationalist

Dan Fitzpatrick's newsletter on AI in education & training. Practical tools, frameworks, & case studies for educators & trainers navigating the AI transition.

Try This

Pick one framework from his latest issue. Apply it to a training you're currently designing. Does it change anything?

Subscribe

Stanford HAI Newsletter

Stanford's Human-Centered AI Institute. Research & analysis on AI's societal impact, including workforce & education implications. Academic rigor that actually translates to practice.

Subscribe

Communities & Professional Associations

Where the real conversations happen. These are the communities where practitioners share what's actually working (& what isn't).

Frameworks & Models

The mental models & frameworks that help you think about AI in learning & facilitation. Each one is a different lens on the same challenge.

ADDIE Model (AI-Augmented)

The classic instructional design framework, reimagined with AI integration at every phase. Analysis through AI data mining, Design with AI brainstorming, Development with generative AI, Implementation with AI support tools, & Evaluation with AI analytics.

Try This

Take your current project. For each ADDIE phase, list one task you're doing manually that AI could handle. Try automating just one this week.

Hardman's AI Stack

Dr. Philippa Hardman's framework for using different AI models for different instructional design tasks. No single AI tool is best at everything — the key is matching the right AI to the right task.

NNGroup's Sandwich Model

Human input → AI processing → Human refinement. A simple but powerful framework for integrating AI into any creative or analytical workflow. Ensures human judgment bookends every AI interaction.

Try This

Apply the sandwich to your next content task: write a brief (human), generate with AI (machine), then edit ruthlessly (human). Compare the final output to what you'd have produced alone.

Board of Innovation: AI-First Playbook

A comprehensive framework for organizational AI adoption. Key insight: for every dollar in tech, invest two in people. Covers the full journey from AI awareness to AI-first operations.

Liberating Structures

33 microstructures for group interaction that distribute participation. Pairs beautifully with AI — use AI for content generation, Liberating Structures for human engagement & sense-making.

Try This

Replace one PowerPoint section in your next workshop with a 1-2-4-All. Give the group an AI-generated provocation to react to. Watch what happens when humans process AI output together.

Bloom's Taxonomy (AI-Enhanced)

Use AI to handle lower-order tasks (remembering, understanding) so workshop time can focus on higher-order thinking (analyzing, evaluating, creating). The taxonomy becomes a guide for human-AI task allocation.

Try This

Audit your next training session. Tag each activity by Bloom's level. If more than 40% is 'remember' or 'understand,' that's the portion AI should be handling before the session even starts.

Kirkpatrick's Four Levels (AI-Augmented)

The classic training evaluation model enhanced with AI analytics. Level 1: AI sentiment analysis of reactions. Level 2: AI-powered adaptive assessments. Level 3: AI tracking of behavior change. Level 4: AI-driven business impact analysis.

Knowmium: Judgment as the New Alpha

Speed without direction is expensive chaos. In an AI world, the premium skill isn't productivity — it's judgment. Knowing when to use AI, when to override it, & when to trust the room.

Essential Reading

The books that shape how the best facilitators & L&D professionals think about their craft in the age of AI.

Book

Co-Intelligence: Living and Working with AI

Ethan Mollick — The essential guide to partnering with AI in professional contexts. Based on extensive classroom experiments at Wharton.

Try This

Read Chapter 3. Then try his 'AI as intern' exercise with your next project. Give AI a task, review the output, iterate. Time how long the loop takes vs. doing it solo.

Book

The Fearless Organization

Amy C. Edmondson — The definitive work on psychological safety. Now more relevant than ever as teams navigate AI-induced uncertainty.

Try This

Run Edmondson's 7-question psychological safety survey with your team. Don't share the results yet. Just notice where the scores cluster. That's your starting point.

Book

The Art of Gathering

Priya Parker — A masterclass in creating meaningful group experiences. The principles apply directly to workshop design in any era.

Try This

Take your next meeting. Apply Parker's 'generous authority' principle: set one rule that makes people uncomfortable but serves the purpose. See what shifts.

Book

AI for Learning

Donald Clark — A comprehensive guide to AI applications in learning & development. Covers the full landscape from adaptive learning to AI tutors.

Book

Telling Ain't Training

Harold D. Stolovitch & Erica J. Keeps — The classic on active learning over passive delivery. The principles are even more important when AI handles content delivery.

Book

The Coaching Habit

Michael Bungay Stanier — Seven essential questions that transform conversations. The questioning skills are exactly what facilitators need in an AI world.

Try This

In your next three conversations, replace your first instinct to give advice with 'And what else?' Count how many times the other person solves their own problem.

Book

How People Learn

Nick Shackleton-Jones — Challenges fundamental assumptions about training. His affective context model explains why most training fails & what to do instead.

Try This

Take your most popular training module. Ask: does it create an emotional response, or just transfer information? If it's the latter, Shackleton-Jones would say it's not actually learning.

Book

Caffeinated Learning

Anne M. Beninghof — Rich, robust professional training design. Best practices for creating engaging, differentiated learning experiences.

Book

The AI Implementation Guide for L&D

Megan Torrance — Releasing June 2, 2026. The most practical framework for AI adoption in L&D, featuring the W.I.S.E. A.T. A.I. framework & the 'go-kart vs. Formula One' approach to scaling AI.

"This is a living document. It grows when we find something worth your time."

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