Good L&D Reads for 2026

Written by
Amy Vidor
March 6, 2026

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Learning and development practitioners have a particular superpower. We take complex topics and make them clear, useful, and worth someone’s attention.

So yes, we’re picky about β€œinsights.” There’s a lot of noise out there. The same ideas, endlessly recycled, and thin takes dressed up as thought leadership.

You’re 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 can’t keep doing L&D the same way.

That’s why we put this list of good reads together.

✏️ This isn’t 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

  • We’re calling these β€œreads” on purpose. Some are blogs. Others are newsletters, Substacks, or insight hubs. What they share is simple: they sharpen our thinking and give us ideas we can actually use. We organized everything into categories to make it easier to scroll through. Happy reading!
  • AI and modern learning design

    AI is changing how work gets done, which means it’s changing what β€œgood” 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: β€œTrying to understand the implications of AI for work, education, and life.”
    • Why we like it: it’s consistently clear-eyed. Curious, but never credulous.
    • Great for: figuring out what AI changes for how people learn and how work actually gets done.

    πŸ§ͺ Try this: In your next team meeting, share one post 24 hours ahead. Spend 7 minutes: 2 mins β€œwhat surprised you,” 3 mins β€œwhat changes for us,” 2 mins to pick one rule to adopt (e.g., β€œAI use must be disclosed in learner-facing materials”). Write it into your team norms doc.

    Dr. Phil's Newsletter (Dr. Philippa Hardman)

    • In their words: β€œI talk about the intersection between human and machine learning (aka AI).”
    • 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 don’t compromise standards.

    πŸ§ͺ Try this: Pick one framework and convert it into a one-page β€œdefinition of done” 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: β€œGet the best insights, tools & templates for the modern L&D pro.”
    • Why we like it: it’s 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.

    πŸ§ͺ Try this: Take one issue and run a 10-minute β€œsimplify sprint.” List the current plan in 5 bullets, then cut it to 3. End by deleting or pausing one deliverable you’re doing β€œbecause we always do it.”

    Learning craft

    This is the category for improving the quality of what you ship. Less β€œmore content,” more clarity, retention, and learner experience that respects attention.

    The eLearning Coach (Connie Malamed)

    • In their words: β€œI’m Connie Malamed, the publisher of The eLearning Coach website and podcast.”
    • 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.

    πŸ§ͺ Try this: Choose one lesson and rewrite one screen using Connie’s 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: β€œA newsletter designed to inform and inspire learning professionals.”
    • Why we like it: it’s 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.

    πŸ§ͺ Try this: Each week, pick one item and turn it into a single pilot card: β€œWhat we’ll try,” β€œwho it’s for,” β€œsuccess metric,” β€œdate we’ll review.” Keep pilots to 2 weeks max. Review on Fridays.

    Adoption and engagement

    Good learning doesn’t matter if no one uses it. These reads help you treat learning like a product: position it, market it internally, and design for uptake.

    MAAS Marketing

    • In their words: β€œMAAS Marketing transforms People Functions into strategic growth engines…”
    • 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 β€œwe built it, nobody used it” pattern.

    πŸ§ͺ Try this: For your next program launch, create a 3-message sequence:

    1. Problem + stakes (why this matters),
    2. What to do (one clear action),
    3. Proof (testimonial/data point).

    Send across two channels (Slack + email). Track clicks + completions for one week.

    Practitioner lenses

    This category is intentionally eclectic. It’s here to stretch your defaults, expose you to different working styles, and give you ideas worth pressure-testing, not blindly copying.

    Offbeat Works

    • In their words: β€œAn L&D newsletter you’ll love. Every Sunday we send over a pack of articles, e-books, podcasts, videos, and thoughts… to inspire you and help you stay up to date with what’s happening within our L&D community.”
    • 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 you’re early in a problem, or when you want fresh inputs before you commit to a direction.‍

    πŸ§ͺ Try this: Pick one idea from Sunday’s pack and run a β€œsmallest test.” 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 we’ll keep.

    Ness Labs

    • In their words: β€œNess Labs is a playground for curiosity.”
    • 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.

    πŸ§ͺ Try this: Start a 2-week β€œlearning log” ritual: every Friday, team members post 3 lines in a shared channel β€” β€œwhat I tried,” β€œwhat I learned,” β€œwhat I’ll do next.” At the end, turn the best 5 lines into a β€œteam playbook” note.

    Industry pulse

    Use these to scan what’s being talked about broadly, then go deeper with the more opinionated sources above. They’re great for discovery and mapping the landscape, not for taking every idea at face value.

    People Managing People

    • In their words: β€œEquips forward-thinking leaders with AI-era strategies, systems, and tools…”
    • Why we like it: it’s broad in a useful way. Great for spotting what keeps resurfacing across HR and people leadership.

    πŸ§ͺ Try this: Use it as discovery, then force a filter. Save three articles, pick one to apply, and write a short β€œcontext check”: what’s different about our org that might break this? Only then design a single pilot.

    eLearning Industry

    • In their words: β€œThe largest online community of eLearning professionals in the industry.”
    • Why we like it: it’s a fast landscape view. Helpful when you need orientation, not a philosophy.

    πŸ§ͺ Try this: When you’re researching tools or approaches, create a comparison grid with 4 columns: β€œuse case,” β€œrisk,” β€œwhat good looks like,” β€œquestions for vendors.” 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.

    LinkedIn Talent Blog

    • In their words: β€œYour source for remarkable recruiting strategies, tips and trends.”
    • 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 β€œtrend” into β€œso what for us.”

    πŸ§ͺ Try this: Bring one post to a stakeholder meeting as a conversation starter: β€œIf this trend is real, what capability do we need most?” 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: β€œIn this blog, we showcase how we do just that at Spotify.”
    • Why we like it: it’s concrete. Real programs, real constraints, and lessons that feel earned.
    • Great for: program storytelling, internal mobility, leadership development, and culture mechanics.

    πŸ§ͺ Try this: Pick one story and rewrite it as a two-paragraph internal memo: β€œWhat problem we’re solving” + β€œHow we’ll know it worked.” Share it with one partner team and ask one question: β€œWhat would stop this from working here?”

    How to use this list

    If you want this to pay off quickly, start small. Pick one category that matches what you’re 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 Synthesia’s 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 you’re reading along, we’d 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.

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    faq

    Frequently asked questions

    What counts as a β€œread” 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 what’s 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 β€œhow we did it” 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.

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