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Learning and development practitioners have a particular superpower. We take complex topics and make them clear, useful, and worth someoneβs attention.
So yes, weβre picky about βinsights.β Thereβs a lot of noise out there. The same ideas, endlessly recycled, and thin takes dressed up as thought leadership.
Youβre probably here for something better β to join a real conversation about where L&D needs to go next. Because if we want business impact, we canβt keep doing L&D the same way.
Thatβs why we put this list of good reads together.
βοΈ This isnβt a definitive list. Use it like a book list or conference lineup: follow what intrigues you or challenges your assumptions, and leave the rest.
Good L&D Reads
AI and modern learning design
AI is changing how work gets done, which means itβs changing what βgoodβ learning looks like. These reads help you stay grounded, test assumptions, and build workflows that hold up beyond the hype.
One Useful Thing (Ethan Mollick)
- In their words: βTrying to understand the implications of AI for work, education, and life.β
- Why we like it: itβs consistently clear-eyed. Curious, but never credulous.
- Great for: figuring out what AI changes for how people learn and how work actually gets done.
π§ͺ Try this: In your next team meeting, share one post 24 hours ahead. Spend 7 minutes: 2 mins βwhat surprised you,β 3 mins βwhat changes for us,β 2 mins to pick one rule to adopt (e.g., βAI use must be disclosed in learner-facing materialsβ). Write it into your team norms doc.
Dr. Phil's Newsletter (Dr. Philippa Hardman)
- In their words: βI talk about the intersection between human and machine learning (aka AI).β
- Why we like it: it brings rigor to modern tools. Frameworks show up early, and they hold.
- Great for: learning design quality, evaluation habits, and AI workflows that donβt compromise standards.
π§ͺ Try this: Pick one framework and convert it into a one-page βdefinition of doneβ for a module (objectives, practice, feedback, measurement). Use it on the next asset you ship and do a 15-minute QA against the checklist before publishing.
Steal These Thoughts! (Ross Stevenson)
- In their words: βGet the best insights, tools & templates for the modern L&D pro.β
- Why we like it: itβs direct. It helps you cut through the fog when plans get abstract.
- Great for: simplifying initiatives, stress-testing assumptions, and getting back to what will move behavior.
π§ͺ Try this: Take one issue and run a 10-minute βsimplify sprint.β List the current plan in 5 bullets, then cut it to 3. End by deleting or pausing one deliverable youβre doing βbecause we always do it.β
Learning craft
This is the category for improving the quality of what you ship. Less βmore content,β more clarity, retention, and learner experience that respects attention.
The eLearning Coach (Connie Malamed)
- In their words: βIβm Connie Malamed, the publisher of The eLearning Coach website and podcast.β
- Why we like it: it makes research usable. The writing is clear, and the advice travels well.
- Great for: attention, clarity, memory, and design choices that improve the learner experience fast.
π§ͺ Try this: Choose one lesson and rewrite one screen using Connieβs principle (chunking, signaling, visuals). Then do a 5-person hallway test: ask learners to summarize the key point in one sentence. If fewer than 4/5 get it, revise once.
Abstract (Maestro)
- In their words: βA newsletter designed to inform and inspire learning professionals.β
- Why we like it: itβs a sharp filter. You get signal without losing an afternoon to browsing.
- Great for: staying current across learning, design, and tech when your time is already spoken for.
π§ͺ Try this: Each week, pick one item and turn it into a single pilot card: βWhat weβll try,β βwho itβs for,β βsuccess metric,β βdate weβll review.β Keep pilots to 2 weeks max. Review on Fridays.
Adoption and engagement
Good learning doesnβt matter if no one uses it. These reads help you treat learning like a product: position it, market it internally, and design for uptake.
- In their words: βMAAS Marketing transforms People Functions into strategic growth enginesβ¦β
- Why we like it: it treats engagement like a design problem, not a participation problem.
- Great for: internal campaigns, positioning learning clearly, and fixing the βwe built it, nobody used itβ pattern.
π§ͺ Try this: For your next program launch, create a 3-message sequence:
- Problem + stakes (why this matters),
- What to do (one clear action),
- Proof (testimonial/data point).
Send across two channels (Slack + email). Track clicks + completions for one week.
Practitioner lenses
This category is intentionally eclectic. Itβs here to stretch your defaults, expose you to different working styles, and give you ideas worth pressure-testing, not blindly copying.
- In their words: βAn L&D newsletter youβll love. Every Sunday we send over a pack of articles, e-books, podcasts, videos, and thoughtsβ¦ to inspire you and help you stay up to date with whatβs happening within our L&D community.β
- Why we like it: it widens the aperture. You get a steady mix of voices and angles, which is exactly what keeps your thinking from getting stale.
- Great for: discovery when youβre early in a problem, or when you want fresh inputs before you commit to a direction.β
π§ͺ Try this: Pick one idea from Sundayβs pack and run a βsmallest test.β Example: add one reflection prompt to a session, or change one onboarding touchpoint. Write a 3-bullet recap: what we changed, what we observed, what weβll keep.
- In their words: βNess Labs is a playground for curiosity.β
- Why we like it: it nudges you toward experiments instead of proclamations. Thoughtful, but still practical.
- Great for: learning culture, reflective practice, and small habits that compound across a team.
π§ͺ Try this: Start a 2-week βlearning logβ ritual: every Friday, team members post 3 lines in a shared channel β βwhat I tried,β βwhat I learned,β βwhat Iβll do next.β At the end, turn the best 5 lines into a βteam playbookβ note.
Industry pulse
Use these to scan whatβs being talked about broadly, then go deeper with the more opinionated sources above. Theyβre great for discovery and mapping the landscape, not for taking every idea at face value.
- In their words: βEquips forward-thinking leaders with AI-era strategies, systems, and toolsβ¦β
- Why we like it: itβs broad in a useful way. Great for spotting what keeps resurfacing across HR and people leadership.
π§ͺ Try this: Use it as discovery, then force a filter. Save three articles, pick one to apply, and write a short βcontext checkβ: whatβs different about our org that might break this? Only then design a single pilot.
- In their words: βThe largest online community of eLearning professionals in the industry.β
- Why we like it: itβs a fast landscape view. Helpful when you need orientation, not a philosophy.
π§ͺ Try this: When youβre researching tools or approaches, create a comparison grid with 4 columns: βuse case,β βrisk,β βwhat good looks like,β βquestions for vendors.β Fill it using two articles, then validate with one operator source before deciding.
Learning at scale
This is where you go when you need to design for real organizational constraints: complexity, consistency, stakeholder alignment, and programs that survive contact with the business.
- In their words: βYour source for remarkable recruiting strategies, tips and trends.β
- Why we like it: it speaks stakeholder. It connects skills and talent priorities to language leaders already use.
- Great for: enterprise framing, skills conversations, and translating βtrendβ into βso what for us.β
π§ͺ Try this: Bring one post to a stakeholder meeting as a conversation starter: βIf this trend is real, what capability do we need most?β Capture answers on one slide and turn them into a top-3 priority list for next quarter.
Spotify HR Blog: Learning & Growth
- In their words: βIn this blog, we showcase how we do just that at Spotify.β
- Why we like it: itβs concrete. Real programs, real constraints, and lessons that feel earned.
- Great for: program storytelling, internal mobility, leadership development, and culture mechanics.
π§ͺ Try this: Pick one story and rewrite it as a two-paragraph internal memo: βWhat problem weβre solvingβ + βHow weβll know it worked.β Share it with one partner team and ask one question: βWhat would stop this from working here?β
How to use this list
If you want this to pay off quickly, start small. Pick one category that matches what youβre working on right now, then choose one or two sources to follow for the next month. As you read, save the pieces that come with something you can actually use β a framework, an example, a checklist, a prompt.
Then do the most important step: try something. Turn one idea into a small experiment you can run in a week or two. Keep it contained, write down what changed, and only scale what earns its place.
Read with us (and connect)
The voices behind Synthesiaβs blog are L&D practitioners with a mix of backgrounds. We spend a lot of time around AI and tools, but the goal is always the same: better learning that works in complex organizations. If youβre reading along, weβd love to connect on LinkedIn β and if you have a great read to recommend, send it our way.
About the author
Learning and Development Evangelist
Amy Vidor
Amy Vidor, PhD is a Learning & Development Evangelist at Synthesia, where she researches emerging learning trends and helps organizations apply AI to learning at scale. With 15 years of experience across the public and private sectors, she has advised high-growth technology companies, government agencies, and higher education institutions on modernizing how people build skills and capability. Her work focuses on translating complex expertise into practical, scalable learning and examining how AI is reshaping development, performance, and the future of work.

Frequently asked questions
What counts as a βreadβ in this list?
We use the term loosely. This list includes traditional blogs, newsletters, Substacks, and company insight hubs β the places we go for ideas that translate into action.
How did you choose these sources?
We prioritized sources that consistently share actionable guidance: frameworks, examples, step-by-step breakdowns, or practical prompts. We also looked for clear thinking you can learn from.
Is this list updated for 2026?
Yes. This edition is refreshed for 2026 to reflect whatβs most useful for modern L&D teams, including the accelerating impact of AI on how learning is designed, delivered, and updated.
Are these sources useful for enterprise L&D teams?
Yes β especially the picks that cover scale: governance, consistency across regions, measurement, adoption, and operating models. Several inclusions are operator-led publications that share βhow we did itβ execution details.
Why include newsletters and Substacks?
Many of the most current, high-signal learning insights now publish as newsletters. Including them makes this list more useful week to week, especially for fast-moving topics like AI and enablement.













