Categories
Learning Strategy

How 4,000 L&D Teams Are Creating Meaningful Business Value in 2025

Let’s be honest, we get a lot of stick in the L&D industry.

Senior execs query what we do and how we provide value almost weekly. CFOs are chomping at the bit to cut our budgets in half, and middle managers think we’re just delivering ‘nice to have and fun experiences’ and believe they can do it better for their teams.

Who knows, maybe they’re right?

90% of the time, I believe they’re wrong.

That’s not to say I think they’re liars or anything. I just think they’re misinformed and aren’t clear on how their local L&D team is delivering value.

The problem is we’re not so great at defining the value we bring to organisations.

If we want the narrative and perceptions to change, we need to be clear and compelling on how we deliver value every year. I understand this is a ‘captain obvious’ statement to make.

So, I thought, why not ask the talented 4,500 readers of my newsletter about the areas they’re focusing on in 2025 to drive value for their organisation.

The killer question, data collection and analysis

Since November 24, I’ve run a one-question survey through the newsletter.

It’s closed as of last week. The only question I asked was “What areas do you think L&D teams should focus on to drive value in 2025, and why?”

I’ve had thousands of responses.

Analysing this was no easy task, as you can imagine. I’ve read a lot of the comments, but I can’t read them all. So, as you might have guessed, I turned to AI for some help. Data analysis is a great use case for AI collaboration, imo.

Over a course of a week, I’ve analysed, thought deeply and categorised thousands of comments into key themes.

I’m sharing the top 3 key themes that emerged with you today, along with my thoughts and valuable comments from respondents.

These are what I look at as 3 ways L&D teams plan to deliver value for businesses in 2025.

As always, context is everything. Our industry is huge, and while I have a few thousand responses as part of this survey, it won’t represent everyone’s specific culture, context and constraints.

Take these results as a pulse of what fellow pros are doing to drive value, and perhaps, let it be a source of inspiration for you to get clear on how you’re delivering value to your business this year.

The Top 3 Focus Areas for L&D in 2025

An image showing how 4,00 L&D teams are creating meaningful business value in 2025.

1. Leverage and humanise AI for work

Generative AI is being touted as a transformative opportunity for L&D and education, particularly in realising the ultimate dream of true personalised learning.

You knew that already, but just in case.

What warmed my little black heart about the comments on AI, was how few mentioned using it for more content. I like to think my constant parading about just using AI to create more (and often sub-par) content, which delivers little value is rubbing off on you. But, I also know you’re a smart cookie, so you have more wisdom than most in the industry.

If creating more content wasn’t on the mind, what was?

I’m happy to say the majority of comments focused on people learning how to use AI intelligently themselves and supporting their workforce to do that. Plus, I discovered repeat mentions of humanising AI for work, which feels incredibly valuable.

As one respondent shared: “I’m focused on enabling the use of AI and learning where it’s relevant rather than just being a buzz word. Conversations with senior IT stakeholders to get it moving. Present business cases. Address the barriers. Get the business to commit. Help people to learn where it benefits.”

Another highlighted the smart move to support humans to hone their craft with human skills alongside expanding capabilities with AI, or as they shared: “In a world where possibilities are endless, L&D should focus on prioritising humans alongside AI.”

In sum: What came through was a strong theme that a large portion of you are focused on not just how to leverage these tools for work, but helping the human find their place too.

2. Building the right skills for the modern world

One thing I never find helpful with the usual industry drool of “x priorities for this year” is the lack of specificity.

For example, many will list ‘Upskilling and Reskilling’ as a priority, but list nothing of what skills or why. I want to avoid this in my own insights from the survey comments. So, we’re going to be specific.

As you can imagine, skills or something skill-based related was mentioned A LOT.

We’ll focus on exactly what skills were mentioned in a moment, but what I can say is the overall theme of these comments focused on helping people build the right skills to navigate the modern world, not more skills.

There was a strong sense in responses that too much time is wasted on skills that are dictated by misinformed leadership and offer little real-world impact.

Again, probably from my influence of mentioning it every other week, many responses highlighted digital skills as a priority: “Digital skills – we’re at a time where we have vast differences in basic digital skills and those gaps only seem to be getting wider.”

Of course, AI literacy was mentioned several times as a priority skill, and we shouldn’t be surprised by this.

Another two skills that crept up many times were both effective communication (heavy on the effective) and the family of metacognitive skills with critical thinking and problem solving. I can’t help but think these are being driven by what teams are seeing on the ground with behaviour change with AI tools.

As one respondent superbly put it with communication:

“In a world full of uncertainty and ambiguity our brains are desperate to find some clarity. With the rise of social media and ever shorter modes of communication (reels, tik tok), most of us are less and less able to communicate well, or distil our thoughts into comprehensive structures that can easily be explained to others. Shorter attention spans mean we also don’t listen (active listening) as well as we used to. I’ve received a lot of “apparently” different requests for learning projects/interventions. When I try to dissect what the underlying theme is, it almost always boils down to how well people communicate – whether it’s about a line manager role, commercial role, senior leadership role, technical role. Not to mention that those who are effective communicators are also the ones who benefit most from AI – those who prompt the best are essentially communicating clearly with their AI tool of choice.”

Such a wonderful insight.

And another great note from this respondent on developing those human skills: “We’re focusing on meta cognition – helping them understand how they think, being able to problem solve by recognising what they don’t know so they can fill in the gaps. Practicing curiosity and thinking creatively – by creatively I mean the ability to problem solve.”

If we’re to sum up these priority skills, it looks a little like this:

  • Digital skills
  • AI literacy
  • Human skills – thinking, communicating, problem-solving etc

A pretty strong focus, imo.

3. Aligning Learning with Business Impact

This theme should surprise no one.

It occupies many of the ‘top x priority lists’ of industry lists for as long as I’ve been in the industry. So, it seems we’re still not getting it right!

On the surface, the message here is simple: Do things that benefit your business and you’ll create value.

Of course, it’s more complicated than that (isn’t it always).

I received the most comments on this theme, so I can see the passion that burns through so many of you when it comes to this. I found this theme was multi-layered with comments on showing impact, how L&D is integrated across a business and how we define significant challenges rather than taking one leaders word for it.

One respondent put it best as they shared:

“Starting with the problem to solve and really understanding it before jumping in with solutions! There are so many examples, from standard ‘mandatory’ training, to inspirational webinars to use of AI. We need to take a HUGE step back, pause and look at what the needs really are and how best to solve them. It’s so easy to get lost in all the day-to-day ‘to dos’ but we can be so much more efficient with a little better understanding of context / problem.”

Another recommended to align with the business, you must know it well, and I couldn’t agree more: “The focus should be whatever is the top business challenge facing their organisation. This requires them to actually go learn the business of their business.“

One of my first rules of L&D onboarding is always to know how your company makes money, otherwise, you can’t really impact performance.

This comment on L&D’s organisational alignment as a means of impacting the business got me thinking too: “L&D should be integrated into the business strategy, not function as a standalone entity.”

I don’t know many companies that consider L&D as a strategic imperative. Not the function in the business itself, anyway. Almost all leaders I meet with are clear on the benefits of improved learning and performance, yet they don’t see that coming from one department like L&D. Instead, they see it as a somewhat shared focus across every team.

While that’s lovely to think of, I always believe you need some kind of sherpa to lead the way.

Standout comments

Obviously, I can’t share every single comment.

Here’s a few more I didn’t include above, but certainly provoked deep thinking while writing this analysis:

  • In a world where possibilities have multiplied thanks to AI, it has become harder to say, “We’ll do this one thing and get it right.” There’s always a temptation to experiment, to test thousands of new tools. However, sometimes the “right” approach is to focus on that one “apple pie made with grandma’s recipe” and execute it properly—respectfully, with consideration for humans, listening to them, and understanding their development concerns.
  • Being able to measure the impact L&D has in the workplace and highlight is impact to show the value. Do not be an order taker- ask what is the problem the business is trying to solve? It may not be learning 🙂
  • Address significant business problems! I often see learning getting excited by the novelty of certain solutions and losing touch with the value release / relevance of their products
  • Develop solutions to help these employees achieve their objectives, as much as possible away from training and towards whatever the most effective solution can be (software, automation, repositories, aides, etc).
  • Behaviour/ performance improvement. Why? Because if there is no improvement, then the learning is nothing more than information provided.

Final thoughts

There you have it, my fellow learning nerd.

Some food for thought from our community. While there is never only ‘one way’, I hope this gives you a view of what the industry is thinking and even inspires how you’re driving value across your business this year.


Before you go… 👋

If you like my writing and think “Hey, I’d like to hear more of what this guy has to say” then you’re in luck.

You can join me every Tuesday morning for more tools, templates and insights for the modern L&D pro in my weekly newsletter.

Categories
Learning Strategy

Set Principles, Not Goals To Navigate Life

No year sounds more Blade Runner-esque to me than 2025.

Each year, we quickly find ourselves deep in one of the biggest human rituals of the year.

You know what I’m talking about – New Year’s Resolutions.

For the record, I think they’re a cup of sugar, honey, ice and tea (figure that one out). Plus, for whatever reason, companies decide that it’s also a good time for performance reviews and mass goal-setting exercises.

Of course, nothing can be better than returning to work after the festive season to have your performance rated. It’s practically the delayed Christmas present no one wants.

As you’ve most likely guessed, I’m not a resolutions or goals type of guy.

New Year’s resolutions are an age-old tradition.

They date back to 4,000 years ago. The ancient Babylonians are thought to have been the first people to make New Year’s resolutions.

Sadly, by February, most New Year’s goals/resolutions are nothing more than forgotten bullet points. In fact, a whopping 92% of people fail to reach their new year goals.

We all know the same people who set the same resolutions each year and still feel no closer to those changes 10 years later.

The non-obvious prison of goals and resolutions

Before anyone grabs their pitchforks and fire, I’m not saying goals are awful.

Every tool has its time and place. If you want to use goals for work, life and your career, that’s great. What I’m offering is an alternative to the status quo. Context is key with everything, so do what works for you.

With that out of the way, here’s why I’m not a big fan of goals and resolutions:

  • They often force a success or fail mentality
  • They prioritise immediate and definitive outcomes over enduring habits
  • For the most part, they’re quite rigid. Life changes, and as such, goals must too
  • 90% of people don’t recognise their starting place, nor the environment, mindset and motivators needed to achieve these

That’s my case to you.

So, what do I THE GOAL HATING DEMON do instead?

I do two things:

  1. A yearly life review
  2. Revisit and update my principles.

It’s not for everyone, but this might save you from the tyranny of prison that goals can create.

Ron Burgundy What GIF

Do a review

We’re so quick to set goals for a new year that we never consider what has passed.

I’m guilty of this.

I’ve never been one to indulge myself in wins. You might call me a ‘and onto the next one’ kinda guy. I like to think it’s stoic.

Perhaps a better word than ‘review’ would be round-up.

I’m not reviewing life like a performance review would, but rather recognising what has been. Think of it like a Spotify Wrapped but for life moments of the last 12 months.

This roundup will form the foundation of what you want to build in the year ahead.

I like these because they help build a broad picture with multiple data points. Most people set goals/resolutions based on ambitions that are not backed by data.

No one person can know where to go next if they don’t recognise where they’ve been.

These reviews help me with both my sanity and avoiding recency bias. Until I did my latest review last week, I’d convinced myself that 2024 was just a ‘meh’ year for me.

But spending the time to see all the moments laid out in front of me, gave me so many ‘ah that was a good thing’ notes.

It’s funny how that happens.

How can you know where to go next if you don’t know where you’ve come from?

How to do your review

  1. Grab a piece of paper or open a word document, divide the page into three columns. Now label one – What went well? The second: What did I enjoy? And the last as: What can I work on?
  2. Now spend 30 minutes reviewing the last 12 months. Place the thoughts that come into your head in each column.
  3. Once you’ve completed this, make sure (and this is the really important bit) to read all of your responses in depth to appreciate everything you’ve noted.
  4. The final step is to look over your what can I work on column. Take the final part of your reflection session to produce the 3-5 top things you want to work on in the year ahead.

Your answers don’t need to be complicated.

This isn’t an EOY review for work. This exercise aims to understand your starting point for the year ahead.

Goals often fail because they’re not personalised to where you are right now. This is why many fall down in the second week of the yearwe simply ask too much too soon.

A common example of this is when people want to improve their physical fitness.

Let’s say person x wishes to improve their physical fitness this year, great, so what do they do?

In my approach, they would review their starting point by exploring what’s happened over the past 12 months.

  • What physical activities have you been doing?
  • How many times a week do you do these?
  • Do these supplement your lifestyle?

These are important points to review before building plans for the next 12 months.

Let’s say they work out twice a week.

A 3rd session might be a logical next step if it suits their current lifestyle.

Sadly, this is not the approach many of us take.

Too many come from a place of having no historical physical practice and jump into a gruelling body and soul-crushing routine of hitting the gym 5-6 times a week.

They think they’ll become that ‘ripped actor’ in just a few weeks.

But they’re wrong. Instead, they run themselves into the ground, and those goals/resolutions are dead by the second month of 2025.

Setting principles, not goals

Sooo the controversial bit.

Instead of huge lists of goals, I build, revisit and refresh an annual set of principles. Again, this isn’t for everyone, so don’t feel pressured to use it if it doesn’t work for you.

Context, friend. Everything is about context (that might be my word of 2025 already).

I use principles to shape and guide my behaviour, reasoning and decisions across my business, finances, wellbeing and more. I thrive in a framework of principles that encourage me to do the right things consistently rather than chasing defined endpoints.

A lot of this comes down to personal motivation. Principles motivate me more than goals.

FYI, a quick definition of principles – yes, I asked ChatGPT:

principle is a fundamental truth, belief, or proposition that serves as the foundation for a system of behaviour, reasoning and understanding. They act as guiding rules or standards to shape decisions, actions, and judgments across various contexts.

Why principles?

I look at principles as guiding frameworks.

Rather than fixed targets (goals), they serve as touchstones that influence actions and decision-making. It’s easier for them to grow with you too.

Whereas goals are more focused on ‘what you want to do,’ principles are about who you want to be.

As an example, I could set a goal of “read 5 books this year”, which is never going to happen btw, or set a principle like ‘Dedicate time to exploring new knowledge and applying it meaningfully’.

Get what I mean?

How to craft your principles

If you’re interested in crafting your own set of principles for 2025, I look at this in 5 steps:

  1. Reflect/establish your values
  2. Define commitments
  3. Keep them visible
  4. Don’t be afraid to change
  5. Use them daily

Let’s unpack these in a little more detail.

1/ Establish your values

This is never an easy task.

I always hated being asked this one when I was younger. For some reason, age has made it easier to define.

Principles should reflect your personal values, not external expectations.

A simple way to approach this is by identifying what truly matters to you.

2/ Define commitments

Here we translate those values into guiding principles.

We’re not in the business of confining ourselves to a rigid goal.

As an example, instead of saying “I’m going to exercise five times a week for 52 weeks of the next year”, reframe this to a principle of “I’m going to prioritise daily movement and healthier choices”.

Subtle and small but enduring.

3/ Keep them visible

Principles aren’t something you write on a performance review submitted on an HR platform that you don’t see till this time next year.

They’re living reminders, not ideas you write once and forget.

Keep them top of mind by placing them in visible spots. I have mine on a chalkboard next to my desk, and in a notes app on my phone.

4/ Don’t be afraid to change

Life changes, and so should your principles.

Goals have a win or lose mentality, whereas principles are more aligned with how life plays out. If life priorities have changed, then don’t be afraid to adapt your principles.

You can do this with goals too.

There’s no need to be trapped by them.

5/ Use them daily

Like most things in life, principles aren’t much use if you don’t use them.

They guide not just what you do but how you approach decisions.

When faced with a choice, ask: “Which option aligns most with my principles?” If priorities conflict, let your principles clarify what matters most.

[P.S. You can get my thoughts on making goal setting really work with some strategies you won’t find as part of the status quo].

📝 Final thoughts

Look, none of this is easy.

It’s not a magic potion, either. It’s an alternative to the norm, and if you’ve been hitting brick walls with goals, it might be worth a look.

Life is never about perfection.

Being consistent and intentional is the best that each of us can do.

As always, these are strategies that work for me. Context is key in everything. Principles won’t be for everyone, I know that.

No matter your method, I hope we can come back this time next year and share our stories.

In sum:

  • Don’t chase the New Year high
  • Adapt and evolve
  • Leverage the environment and motivators unique to your context

Before you go… 👋

If you like my writing and think “Hey, I’d like to hear more of what this guy has to say” then you’re in luck.

You can join me every Tuesday morning for more tools, templates and insights for the modern L&D pro in my weekly newsletter.

Categories
Learning Strategy

How To Actually Achieve Your Goals in 2025

We’re often told if we want to achieve our dreams, we just need to set some goals.

But is it really that simple?

While I’ve shared my approach with utilising principles instead of goals for my performance, this doesn’t mean goals are bad.

They’re a tool, and depending on the environment, goals can be useful. I can’t challenge the status quo of goal setting without doing my research on the pitfalls.

Below is a short round-up on what I uncovered and how you (if you choose to use goals) can make goal setting really valuable.

You need more than motivation

According to research, a whopping 92% of people fail to reach their new year goals.

That’s a lot of people not achieving what they set out to do. So, what’s the problem?

Well, it turns out that motivation alone isn’t always enough.

Sure, it’s great to be fired up and ready to take on the world, but what happens when that initial burst of motivation wears off? That’s where follow-through comes in.

Peter Bregman wrote an article for HBR where he suggests that the real issue is not motivation, but follow-through.

And he’s right, to a certain extent. You can be motivated all you want, but if you don’t follow through on your commitments, you’re not going to achieve much.

Introduce a little anarchy

Not everyone is motivated by the same things.

Some people are all about positive goal setting, while others are more motivated by the fear of missing out or the consequences of not taking action.

I fall into the category of motivation by fear of what I don’t want in life (which is something I learnt from Tim Ferriss in his fear-setting talk).

(Get more detail from Tim on his thinking on this topic)

This thinking stems from the concept of loss aversion.

This fancy psychological concept suggests that we’re more motivated by the fear of losing something than the prospect of gaining something. In other words, we’re more likely to take action to avoid a negative outcome than to pursue a positive outcome.

So, you’re saying I should be driven by fear?

Well, it means that setting fears instead of goals might be more effective for some people.

When we set goals, we tend to focus on the outcome we want to achieve. And while that can be motivating in the short term, it can also create anxiety and stress if we’re not making progress as quickly as we’d like.

Setting fears, on the other hand, allows us to focus on the consequences of not taking action. It might sound a bit negative, but it can actually be a really powerful motivator for some folks.

For example, let’s say you’re trying to save money.

Setting a fear of not being able to pay your bills or having to work longer hours might be more effective than setting a positive goal of achieving financial freedom.

Alternative approaches to the status quo that will enable you to actually achieve your goals in 2025.

An adaptable goal setting formula

Having spent over a decade helping people set goals for personal and professional development. I have a long list of case studies of the good, bad and ugly.

What’s key is building an approach specific to you.

Cookie-cutter templates are great as a standing point, but it’s your job to mould them to your unique style.

To achieve our goals, we need:

  1. The right environment
  2. The right mindset
  3. Specific motivators

Consider these the next time you’re thinking about setting goals for yourself.

It’s not enough to simply write them down and hope for the best.

Instead, focus on creating an environment that supports your efforts, and adapt your approach as needed.

Final thoughts

Look, none of this is easy.

It’s not a magic potion, either. It’s an alternative to the norm, and if you’ve been hitting brick walls with goals, it might be worth a look.

Life is never about perfection.

Being consistent and intentional is the best that each of us can do.


Before you go… 👋

If you like my writing and think “Hey, I’d like to hear more of what this guy has to say” then you’re in luck.

You can join me every Tuesday morning for more tools, templates and insights for the modern L&D pro in my weekly newsletter.

Categories
Artificial intelligence

How To Avoid This Costly AI Skills Mistake Companies Keep Making

It’s been hard not to talk about AI this year.

If we’re being honest, it’s been hard not to for the last few years. One day, we were fighting off a super virus, and now we’re gushing over generative AI tools.

Crazy how fast things change.

The past 12 months have given me plenty of time to work with various teams and companies on AI skills programmes. It’s taught me a very important lesson: despite the current pace of AI tool adoption, there is a lack of investment in the mindsets, behaviours, and meaningful skills needed to leverage them effectively.

It’s generic to say that AI, particularly generative AI (which are not the same, FYI), has opened up a transformational shift in how we work, learn, and interact with the world.

Yes, I’m playing Captain Obvious, but stay with me…

With any major technological shift, achieving a successful ROI doesn’t happen overnight.

The journey from what I class as a curious “hobbyist” to a confident “adopter” is a gradual one, and I cannot overstate how much patience you need to develop here.

Social media doom-scrolling makes it easy to feel pressured to learn everything about AI instantly.

Everyone and their dog is an AI expert today, and apparently, they can make you master AI in 7 days. Be wary of these people. They will stunt your chances of long-term success.

Building a deep understanding of such a transformative technology requires time and effort.

And to be quite frank, no one has mastered it yet. They probably never will, as it’s always evolving.

You already know my views on this.

Meaningful AI adoption is about more than just knowing how the tools work. It’s about cultivating a mindset and building behaviours that allow us to integrate AI meaningfully and responsibly into what we do.

→ And that takes time and effort.



An image showing the 3 stages of AI literacy in the workforce that helps avoid costly mistakes that companies keep making.

The 3 Stages of AI Literacy: Hobbyists, Experimenters, and Adopters

There are so many bloody maturity models out there right now.

While mine is not as fancy as a consulting firm, I believe it’s simple to use.

My work these last few years has shown most people are navigating through three broad stages of AI skills maturity: hobbyists, experimenters, and adopters.

Let’s unpack these ↓

Hobbyists

Hobbyists are those who dabble in AI, experimenting with tools like ChatGPT in their personal time but haven’t yet applied it systematically in their work.

They’re curious, but they haven’t reached a level of skill where AI significantly impacts their productivity. Mostly they create cat pictures and get AI to write crap social media posts stuffed full of emojis.

Experimenters

Experimenters have begun incorporating AI into their daily tasks, testing out its capabilities, and exploring use cases in real-world contexts. They’re still in the learning phase, figuring out what works, what doesn’t, and how AI fits into their broader workflow.

I like this level the most. To experiment, fail and learn is a beautiful thing. The majority of people who play here will do very well.

Adopters

Adopters have fully embraced AI, using it effectively and strategically in their context to enhance work.

They’ve developed a level of comfort and expertise that allows them to apply AI in ways that generate meaningful, long-term value. A caution here: I’ve found some who’ve gone too far down the rabbit hole have become blinded to AI’s limits. Try to avoid that.

Be balanced, in all things.

Aim for ‘Good enough’

Moving from one stage to the next is a slow process. Often frustratingly slow in a world where we expect immediate results.

That’s totally fine. It’s a necessary progression.

Without taking the time to fully understand the nuances of AI and how it can be harnessed, you risk missing out on the true potential of the technology.

A thread that weaves through each of these stages is experimentation and exploration. You will bounce between each stage as new advancements emerge. Right now, that’s like every other week.

It is entirely possible to be an adopter at the start of the month and find yourself back to a hobbyist without keeping up a practice of experimentation and exploration.

Always get clear on the ‘what, why and how’.

Classic advice for a reason.

The good enough level for building AI skills at work.

Be intentional with AI skill building

This will sound counterintuitive, and yes CEO of x company, I know you want the ‘AI Effect’ today.

But with AI literacy, being more intentional can reap rewards for years – perhaps even decades.

I’ve seen this in some of my work with clients.

Senior executives have crazy expectations for workers to become ‘AI Experts’. They don’t even know what that means – I don’t even know what that means!

If we’re talking about tools like ChatGPT, becoming an expert on that with its almost daily updates is like chasing after your 5-year-old when they see an ice cream truck fly by.

Solid fundamentals will help, no doubt.

But fundamentals don’t = fully capable expert.

AI is not static.

Learning the fundamentals and taking time to put them into practice is key. Yes, I know that’s hard in a world where you need more than 1 week to show ‘ROI’.

By encouraging a more deliberate approach, you can craft the mindsets, new behaviours, and technical, and human skills to navigate AI transformations at large.

I know I’m preaching to the choir here.

(Note: Being more deliberate with crafting AI skills does not mean building bloated 3-month + learning experiences. No one wants or needs this!).

In sum: You need a bit of patience, time and structure but lots of experimentation. Again, counter-intuitive, I’m aware, but with a technology so transformational, we have to find ways for these elements to co-exist.

An image showing why 80% of AI projects fail and how workforces can avoid this costly mistake with building AI skills.

80% of AI projects fail because of this

Another report I’m reading, in what I must say, is an era for ungodly amounts of reporting on one topic, focuses on the root causes of failure for AI projects.

If I’m being fair, the findings of these failures apply to L&D projects too.

Anyway, one of the biggest factors for failure was being given the time for a project to succeed. You see executives are drinking the koolaid.

They think that what needs at least a year to succeed can be done in a week.

The writing is on the wall for most projects before they start.

You have no doubt suffered this exact problem with countless L&D projects.

Think of all the projects that have died because:

  • Expectations were unchecked
  • A problem was not defined to solve
  • The resources you need to succeed weren’t provided
  • You were given 1 week when you need 1 year

One word to define this – misalignment.

AI literacy is about building a long-term capability, not a short-term fix.

This creates a workforce that is not just technically competent, but equipped with the critical thinking, creativity, and adaptability needed to succeed in an AI-driven future.

Final thoughts

As a good BCG article once told me, “Treat Gen AI upskilling as a marathon, not a sprint”.

Yes, you need to move fast to help people unlock the potential of new technology. But, you also have to be smart. People won’t just get it after some 30-minute online course.

They will need more hand-holding than you think, and you need to inject a dose of realism into the ‘time to become proficient’ with your AI tools of choice. Marathons are a mixture of both fast and slower-paced elements.

Again, think constant experimentation and exploration. This is not a static game.

The investment in Gen AI fundamentals at most companies is criminally low.

Don’t fall into the trap of tools before educating on the basics. I’ve seen this back-fire too many times.

As the wise Uncle Ben said, “With great power, comes great responsibility” – and too many are forgetting the final part of that famous quote.

As I said in a recent newsletter:

With all-time high levels of use across millions of Gen AI tools and all-time low levels of AI literacy, we could be heading for a skills car crash of our own design.

Too many forget that AI is only as good as the human using it.

It’s, perhaps, the greatest ‘mistake’ made in all this AI excitement.

Here’s five things I suggest you do:

  1. Teach AI Fundamentals: What is AI and Gen AI, and what is not? How LLMs work, etc
  2. Behaviours + mindset: How to think critically and validate outputs. Understand AI hallucinations. Know when and when not to rely on AI tools
  3. Practical use cases: Not cat pics, real work impact. You could combine this with ‘tools’ for experimentation.
  4. Picking the right tools: Not every AI tool is created equal, so know the opps and limitations of yours
  5. Upgrade human skills: You won’t go far without a strong sense (and clarity) of thinking and analytical judgment.

The key to all of this is time, patience and intention to build the right skills.

Sometimes that will be fast, others it will be slow.

[Bonus: Think about introducing some really simple and easy to follow guidelines for AI use at work. Don’t overcomplicate it with jargon! – think best practices, or as much of a best practice as you can give on this rollercoaster]

In sum: Don’t make the mistake of rushing the process of crafting meaningful AI skills and behaviours.

Oh, and if you’d like help with any of this, shoot me a message.

📖 Read more

The Hidden Impact of AI on Your Skills

How To Get More People Adopting AI at Work To Build Modern Skills

Designing Meaningful AI Skills Programmes


Before you go… 👋

If you like my writing and think “Hey, I’d like to hear more of what this guy has to say” then you’re in luck.

You can join me every Tuesday morning for more tools, templates and insights for the modern L&D pro in my weekly newsletter.

Categories
Artificial intelligence

The Ultimate Guide To Using (or Avoiding) AI At Work

There’s a time and place for everything.

  • Dumb hairstyles = school and college
  • Overpriced tight-fitting clothes to impress the opposite sex = your 20’s
  • Not being judged for eating an entire chocolate log = Christmas
  • Using generative AI tools = ?

While I hope you agree with the rest, the last one is debatable.

Depending on your relationship with AI, your view on ‘when’ to use its delightful powers can be vastly skewed.

The ‘AI cultists’, as I like to call them, will proclaim we should use AI for everything, while ‘dooms dayers’ will warn you not to touch it as you’ll lose your humanity.

Of course, the truth of the matter is not so clear-cut.

There’s an interconnected web of assessments and decisions to be made. The good thing is this is all human-powered. The world has been so focused on ‘how’ to use new tools, that we’ve paid little attention to why and when.

Let’s change that.


📌 Key insights

  • AI is a tool, not a saviour
  • Boring and basic is where AI shines best with tasks
  • Balance your understanding and application for maximum benefits
  • AI is not a hammer

Assess tasks not jobs for AI

I appreciate LinkedIn CEO Ryan Roslansky’s concept of assessing ‘tasks, not jobs’ in the context of generative AI at work.

This idea originates from Ryan’s Redefining Work article, where he explores how AI will accelerate workforce learning and amplify the importance of skills.

Ryan suggests moving away from viewing jobs as titles, and instead, seeing them as a collection of tasks. These tasks will inevitably evolve alongside AI and other technological advancements. He recommends breaking your job down into its primary daily tasks.

You can bucket those tasks in this format:

  1. Tasks AI can fully take on for you, like summarising meeting notes or email chains.
  2. Tasks AI can help improve your work and efficiency, like help writing code or content.
  3. Tasks that require your unique skills – your people skills – like creativity and collaboration.

This sets the stage for how I currently recommend working with AI.

Where AI helps best

You might see glamorous examples of generative AI tools on social media.

In reality, the majority of benefits come from tackling boring and basic tasks. I’m talking about writing better emails, summarising reports, and brainstorming ideas.

It’s smart to delegate simple, mundane, yet time-consuming tasks to AI.

This creates space for more human-centred work.

I don’t understand why some people seem determined to have AI handle the human elements. What a boring life that would be! I want AI to handle the laundry via a workflow so I can focus on building cool stuff – not the other way around.

Asana's report on the leading use cases for generative AI at work.
Source: Asana AI at Work Report
A Gallup chart showing how AI tools are used differently across job levels.
Source: Gallup

A bunch of smart folks have done lots of research on this.

The above visuals come from Gallup and Asana, but I want to talk a little bit about a joint research project from Boston Consulting Group and Harvard.

These two powerhouses wanted to cut through the hype to see if AI tools like ChatGPT can improve productivity and performance. They worked with 758 BCG consultants (about 7% of their individual contributor-level staff) and split them into three groups:

  • One without AI access
  • One with GPT-4
  • Another with GPT-4 plus some training on prompt engineering

These consultants tackled 18 real-world consulting tasks to see how AI would affect their work.

The results? Pretty impressive, I’ve got to say.

The consultants using AI managed to complete 12.2% more tasks and knocked them out 25.1% faster. But here’s what really caught my attention – the quality of their work shot up by more than 40%!

It’s one thing to do something at speed, but another to do it at such high quality too.

That’s the trap I see happening in every industry right now. Too many prioritise speed over quality. You can have both if you craft the right skills to collaborate with AI.

There was a catch though (when is there not!).

When consultants tried to use AI for tasks it wasn’t built for, their performance dropped by 19%.

I don’t see this as a negative. It’s very helpful to know where the limitations are. You cannot have a balanced approach without this. Another particularly interesting outcome was how the consultants ended up using AI.

Some folks took a hybrid approach, blending AI with their expertise, while others went all-in and relied heavily on AI.

Both styles seemed to work, but context was key.

While those marked as novice employees found the biggest performance gains, this dropped with those classed as experienced workers. Those in the latter category still saw a modest boost of 15% in most tasks.

TBH, I’d take that on most days.

You can’t buy time

Time is a fickle thing.

It’s our most precious and non-renewable resource.

If you’ve been to any of my keynotes in the past year, you will have heard me touch upon this. Perhaps it’s the broadened awareness of my mortality.

It’s probably got something to do with being very close to 40 years old, which my 23-year-old self didn’t expect to happen.

My impending mid-life crisis aside, time is something you should care about deeply.

You can always make more moneybut you can’t buy more time.

The biggest promise and opportunity with AI tools is being able to reclaim that precious resource.

I’m not fussed about making 6-figures or building teams with AI only. I’m much more invested in getting time back to spend with those close to me and doing more of the human stuff I love at work.

We’re starting to see what people are doing with some of these time gains.

In Oliver Wyman’s AI for business research, they estimate Gen AI could save 300 billion work hours globally each year. I think that would be a wonderful outcome (as long as it doesn’t involve me doing more washing!).

A Boston Consulting Group chart showing how people are using the time they save by using AI.
Source: Boston Consulting Group (BCG)

Where AI Is Not Your Friend

I know this might break some hearts, but…AI is not your saviour.

Life is a mix of opportunities and pitfalls.

Research from BCG and Harvard offers an important lesson: generative AI works exceptionally well when used for tasks it can handle. However, beyond that, it’s the wild west.

As always, context is key in decision-making, and tools are constantly improving. This is where I like to appeal to everyone’s common sense. Yet, as I’m often reminded, common sense, it seems, isn’t so common these days.

It’s impossible for me to cover every task across every industry you might encounter.

Instead, here’s a general framework to help you determine when to use generative AI. The summary is simple: AI works well with tasks with pre-defined guidelines and less severe consequences of a f**k up. It should not be relied upon in what I class as ‘mission critical’ matters, aka the human stuff.

Over-reliance on AI is already a significant threat to education, work, and life.

We explored this in a recent edition on the “Hidden Impact of AI on Your Skills”.

In schools, new research has shown generative AI harms students’ learning because they over-rely on these tools, quickly losing key human skills. More alarmingly, we’ve seen the rise of AI companions as therapists and friends among 18–24-year-olds (especially men), replacing vital human connections.

This is why I always emphasise helping people develop the mindset and behaviours to use AI intelligently. Note: I define ‘using AI intelligently’ as understanding the why, what, how, and when of AI applications versus tasks.

Adoption can easily slip into addiction.

An easy framework to decided when and when not to use generative AI.
Choose wisely, human

How to identify tasks AI can help with

This is the thing we all need help with.

Where can and can’t AI help me?

There’s no clear-cut answer to this. I’d love to give you some fancy 2×2 framework but I don’t believe that will serve you well. Each scenario is context-specific, and generative AI tech is evolving so fast.

I tend to think about my tasks in a macro and micro view.

Your tasks can easily be broken down into sub-tasks (micro). We’ve talked about continuing to invest in your thinking in this era of AI. This is something that requires deep thought and reverse engineering your ideal outcomes.

As an example, I use a little table like this:

A easy decision-making framework to identify tasks AI can help with at work.
Simple and effective

It’s not fancy, but it does the job.

We have two macro tasks:

  • Presenting insights and actions on the L&D functions performance to senior leaders
  • Launching a new internal course

For our first task, my outcome is to deliver a presentation to senior leadership on L&D performance.

So, I break down (in my mind) the micro tasks to reach that, as you see above. I then assign each of those to a column. Note: The first column can be automation without AI.

I don’t use this for every task, only those that I believe, with my current experience of Gen AI, could be an opportunity to work smarter.

What’s key is the AI components are always low to mid-level, and the mission-critical parts are always done by me (the human).

Final thoughts

Knowing how to use AI tools is useful.

But understanding why and when to call upon their power is an advantage.

As we’ve covered, there is no one right way to assess this. The simplest part (imo) is to get clear on what are the uniquely human tasks in your work. Mark these as ‘mission critical’ – so you have zero or very minimal AI assistance.

Your low and mid-level should become clearer with this.

I say this sooo often, but it’s a damn good quote and continues to be relevant in this space:

With great power comes great responsibility

Uncle Ben (Spiderman’s uncle)

Think wisely about when to wield that power.


Before you go… 👋

If you like my writing and think “Hey, I’d like to hear more of what this guy has to say” then you’re in luck.

You can join me every Tuesday morning for more tools, templates and insights for the modern L&D pro in my weekly newsletter.