TODAY’S THOUGHTS ☠️

Hey friend 👋,

Over the past few months, we’ve covered quite a bit of ground on working with AI beyond the basics of tools only.

We know that to make use of AI successful for yourself and your organisation requires deep investment in the human skills + capabilities layer. Sadly, this is often discarded in the race for “AI supremacy” in the workplace.

A running theme in all our conversations of late is not about if we’re using AI, because everyone is using AI.

Case closed.

What we should focus on is “How we’re choosing to use AI”, and in those choices, if we’re shaping useful advancements or just doing the same old thing but bolted on with AI.

From an L&D perspective, I have quite a bit of data on that to share.

Today, we’re exploring the 3 ways L&D teams get the most value from AI in 2026.

Get your tea or beverage of choice ready 🍵.

We've got lots to discuss!

P.S. Your app might clip this edition due to size. If so, read the full edition in all its glory in your browser.

IN THIS DROP 📔

  • AI’s value in L&D is not linear

  • Escaping the prison of courses + content-only products

  • AI agents probably stole your data and you never knew

🙋‍♀️ Want to reach over 5,000 L&D pros? Become a Newsletter sponsor in 2026

THE BIG THOUGHT 👀

The 3 Ways L&D Teams Get Value From AI in 2026

Snap!

Back in March this year I shared the results of a 4 months + research project where I set out to learn how high performing L&D teams are crafting meaningful value with AI. I spoke to organisations I’ve worked with, brand partners and the 5,000 readers of this newsletter.

The full write-up of all that research lives on the website.

The most relevant part of that research for today’s conversation is what was revealed about L&D teams choices, habits and behaviours in using AI.

I landed on the 3 most popular ways L&D pros engage with AI in 2026. In some cases, teams/pros followed a sort of maturity route with these 3 uses, where one use led to the other and took them to becoming more proficient (+smart) in their use of AI.

So, take nothing here as a “set in stone” framework, rather a view into ‘what’s really going on’ across the industry in 2026.

Let’s take a look at that, shall we?

Level 1: The Efficiency Engine (aka SPEED)

From an adoption standpoint, this is what I class as the gateway drug to AI for L&D teams.

It's the most common and immediate value driver for most.

It’s about speed, not necessarily quality (see next level). The tantalising prospect of saving time on the most mundane of tasks is so incredibly alluring that even the biggest AI resistors struggle not to turn their head.

I class this as “The Efficiency Engine”.

Here we see the benefits of freeing up time and automating our routine tasks. Once people experience this, they often want to know what else these tools can do.

It’s both a value driver and the entry point for creating behaviour change.

And I should point out that this was not with content creation alone. Many of you mentioned the speed to summarise, analyse and find niche research. But of course, content creation is still heavily referenced.

Here’s a highlight of what respondents shared:

  • Reclaiming hours on admin: "Reduced the time it takes to produce my weekly report by 2hrs".

  • Speeding up repetitive documentation: "Faster 'admin' time. Creating comms, overviews, content, plans, analysis. It just reduces so much time needed for some tasks.".

  • Processing large volumes of information: "Saves me time in reading and analysis of different sources and large volumes of content".

  • Assisting with the "heavy lifting" while retaining human control: "Time saving. I'm still doing the real thinking, analysis, etc. But the tools are helping speed up certain elements of that.".

  • Reinvesting efficiency into human connection: "I can analyse data, present proposals for approval and produce wire-frames of my programmes really quickly. This means I can provide my decision-makers with what they need in good time, freeing me up to add value elsewhere (coaching, business partnering etc)"

Level 2: The Quality Amplifier

I’ve always believed that any tool is only useful in the hands of a competent user, and this is no different with AI.

AI helping you to make your best work even better is highly admirable.

I know so many are obsessed with delegating work to sit on some mythical beach somewhere. Those people aren’t going to do much in life. Instead, those who use AI to amplify what they do today will be the winners.

This is why I’ve become rather obsessed with tools like NotebookLM.

I’m not a researcher or analyst by trade, so I don’t know what I don’t know. Tools like NotebookLM and Perplexity help fill some of my own capability gaps with their features. They don’t do my work for me, but they do supplement and amplify what I can do. We’ve covered this exoskeleton-type effect by borrowing skills and capabilities from AI in a previous edition.

What’s clear is that quality counts when working with AI and knowing what niche tools can provide that is going to be your strategic advantage.

Here’s a highlight of what respondents shared:

  • Elevating the standard of final deliverables: "Overall, the ability to pull together diverse perspectives, distil them, and adapt content for specific audiences has elevated the quality and effectiveness of my work vs. the level of effort and time spent.".

  • Refining content: "For high-quality writing and iterative refinement of content like proposals or learning materials, I turn to Claude. It produces more polished text with fewer inaccuracies and is excellent at staying on track.".

  • Transforming complex concepts for users: "It helps simplify technical language, image generation, generating ideas for interactive things to add to courses".

  • Acting as a skill exoskeleton for technical gaps: "Cursor has aided me in coding in a language I didn't know beforehand, in doing so developing a new booking engine for the company from scratch."

Level 3: The Strategic Partner

This is where I’ve always seen the real value of AI since day 1.

I do bash on teams using AI solely for content creation a lot, yet that’s only because I know how powerful LLMs can be as strategic partners.

Even 3 years removed from the launch of ChatGPT, I still see many LLMs vastly underutilised by L&D teams in this way.

I see strategic partnering as bringing human thought/intelligence together with AI to uncover insights, points of view and develop ideas to do our best work. This comes through clearly from the survey responses.

Many of you referenced looking beyond AI for content creation and enhancing your cognitive processes by unpacking collaborative and critical thinking tasks with AI.

Use cases that surfaced included:

  1. Acting as a sounding board, especially for solo pros

  2. Challenging assumptions and expanding current perspectives

  3. Refining and sense-making of thoughts

  4. Facilitating critical analysis of data and scenarios

Here’s a highlight of what respondents shared:

  • Creating agents to fight echo chambers: "To act as sounding boards. I have developed some agents that are very picky and challenging in some cases on my work. As I am a team of one, I find this option particularly helpful to make me think outside my own mental box.".

  • Building always-on advisors: "I've created an assistant in Gemini to act as a digital consultant, compiling and summarising recent data I need to make informed decisions, and acting as a sounding board without taking up the time of other team members.".

  • Interrogating cognitive biases: Using the tool specifically for "Questioning my (poor) assumptions", and as another respondents shared: “My ability to ask better questions and to think deeply has improved with daily AI use”.

In service of courses + content

This is just one section of the much larger writeup on this research (see all that).

What is still clear to me, even in 2026, that despite the big levers of AI value across L&D being speed, quality and strategy, most of this is still done in service of what feels like a fast becoming outdated model of courses and static content.

While I don’t expect that to change anytime soon, it does give pause to reflect on how we use AI to match the new choices and behaviours of our audiences.

With so many turning to their local LLM to be their learning coach, spiritual advisor, accountant, best friend etc. The days of what L&D typically produces are numbered. The million dollar question is “What comes next?”

Maybe it’s a different type of course and maybe its no courses.

Right now, I’m not so sure. The technology is moving so fast that its hard to say “this is the way” in any week without having that crash and burn when new features drop the following week.

What I am sure of is that using AI to do more and faster is a losing game.

And if you want a mic drop moment 🎤I don’t think it will be the L&D industry that leads that change in how workplace learning with technology develops. It will be the AI and traditional tech companies.

Final Thoughts

There you have it, friend.

As of early 2026, this is where the L&D industry is trending with its current use of AI.

I’ll be repeating this assessment later this year for an early 2027 release. You’ll be able to keep up with and contribute to that research by reading this very newsletter.

In the meantime, hit ‘reply’ and let me know how you’re getting value from AI today.

Is it speed, quality and strategy, or something else? I read everything that comes through and you might even get an early morning tea-infused response as many of you have over the years.

- - -

P.S. Want to become an AI-Native L&D pro?…my next half-day workshop on helping you with this is coming up in June. I bring 10 L&D pros together to connect, learn and get a complete operating system for working with AI in your L&D role.

FYI: This isn't a tool demo or a prompting workshop.

→ If you’ve found this helpful, please consider sharing it wherever you hang out online, tag me in and share your thoughts.

👀 ICYMI (In case you missed it!)

  1. AI increases the value of expertise while making it harder to build. Deep domain expertise becomes more valuable because experts are the people who can tell when AI output is wrong. But AI is absorbing exactly the routine, entry-level work that used to build that expertise in the first place. Just one of several steal-worthy thoughts from a new report collaboration between Google and The Digital Education council.

  2. AI Fluency is not enough to stay sharp, relevant and human in the AI era. Catch up on last week’s powerhouse piece where we explored what’s beyond the realm of skills and capabilities we need to stay relevant in the age of AI.

  3. Why AI adoption isn’t as important as AI enablement for L&D. Having access is not the same as delivering value with it.

VIDEO THOUGHTS 💾

AI Agents Are (probably) Stealing Your Data, And You Don’t Know It’s Happening

Bro, did you even check the security and privacy setting of your AI agent?

...😯

Here's a quick guide for my non-techy L&D folks who want to play safely with the latest tech.

TL;DR: Use some common sense.

Enjoy 😊.

Till next time, you stay classy, learning friend!

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So please leave a comment with:

  1. Ideas you’d like covered in future editions

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