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How To Get More People Adopting AI at Work To Build Modern Skills
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Today’s Thoughts ☠️
Hey there 👋,
Is there anyone left on this planet who is not talking about Gen AI?
If there is, I’d love to have a conversation with them as I’m sure they’ll actually have something interesting to talk about from the usual discourse. Make no mistake, AI is interesting and a huge part of the present and future, but the bubble will burst.
Or it’ll just get bigger and The Matrix will happen in the next few years.
Saying all that…
Guess what we’re talking about today. Yes. Gen AI in the workplace.
What a hypocrite - forgive me! 🙏
I’m walking with you back in AI land because we (once again) are needed to unlock the mass adoption of AI at work. You read that right. Your company needs L&D to make this successful.
What a plot twist.
Get your tea or beverage of choice ready, 🍵.
We've got lots to discuss!
→ Much love to today’s sponsor, Sana ❤️
👀 In today’s chat:
L&D is the superhero AI at work needs
Creating accessible learning moments for all
Intelligent skill-building strategies to navigate AI
THE BIG THOUGHT
How To Get More People Adopting AI at Work To Build Modern Skills [Hint: It’s you]
Here come the saviours of skills
Here’s what we know:
Gen AI is era-defining tech just like the internet
It’s reshaping how we do tasks and thus, how we build jobs
Gen AI skills are a huge black hole for every company on earth
Yet, despite all the excitement. Not as many people are using AI powered tools as you think.
Why?
A new report from BCG sheds light on this.
Newsflash: People can’t use new stuff if you don’t show them.
We’re not in the business of magic.
As I see it, we have two problems to fix for mass adoption of AI tools at work:
Improved education on the topic and practical use cases based on individual context
Closing the gap between senior leaders and frontline employees access to knowledge
If we don’t do this then companies will literally be wasting millions, even billions, of dollars on the new wave of AI powered workplace tools.
Yes, my friend, it’s time for you to be the hero of this story.
Insights that matter from the BCG AI at Work Report
Ok. Let’s drop some knowledge to set the scene.
Those smart folks at BCG spoke with over 13,000 humans to find out what’s going on with AI at work today. As always, it’s packed full of stuff but these are the insights I want to focus on in our chat.
The adoption and confidence gap:
Turns out that the majority of us at the frontline where stuff gets done are not only less confident then our managers and leaders, we have less access to keep informed on new tools.
Frontline employees: 33%
Managers: 41%
Leaders: 50%.
This becomes the 6th report I’ve seen findings like this.
I see it in my work with companies too. I shared more on this with a video on LinkedIn. We’ll get into strategies to fix this later.
The HUGE knowledge and skills disparity
Are you really surprised?
You probably shouldn’t be.
From what BCG tells us (much like this report from Asana). Those doing the work aren’t getting equal learning opportunities to craft skills with Gen AI. Leaders and managers are ahead of the humble frontline employee.
I find this odd as I believe those who spend most of the time doing the ‘actual work’ can benefit immensely from the new wave of AI tools.
The ‘expect people to figure it out strategy’ never works
It’s not lost on me that I’m preaching to the choir here.
It’s rare that people just get it. That’s where we (as in L&D and advocates of learning) come into play. Our role is not about skill building alone. We build confidence too. Confidence (and no BS knowledge) is exactly what the AI at work scene is missing.
Confidence builds curiosity, which leads to motivation which leads to learning.
From the BCG report, this is what we know:
People don’t feel they have time to learn about AI (I was laughing so hard while writing that line)
They aren’t sure how and when to use the tools that are available
There’s a level of distrust with tools
How to build Confidence, Curiosity and Skills to close the AI adoption gap (Step by step playbook)
Get excited!
This is not going to be one of those useless lists.
Telling you to invest in continuous learning and be human centered is not going to help you. So, we’re going to get deep and tactical.
1/ Create an AI skills framework
To start, let me show you how I build a skills level framework for Gen AI. I use this with my clients to help them understand the meaningful learning experiences for each stage of maturity. Hopefully, it’s pretty self explanatory.
The goal is building confidence through meaningful knowledge and practical skills.
Skulls represent skill levels. You can deploy levels as singular projects, team-ups or a whole scaling journey. It all depends on workforce maturity and the context of the business.
2/ Discover where you are and where you want to be
To help me uncover the best fit for a business, I use three tools:
The Asana AI maturity model (download avail below)
These are all free for you to use.
You’ll find detailed ‘how-to’ guides for each at the links provided above. These will help you understand the lay of the land today. With this information, you can make a recommendation on the best experience to deploy.
My experience as of writing this is that 99% are at the ‘New to AI’ stage.
That’s not a bad thing. It will enable you to put strong foundations in place by teaching the fundamentals and not jumping into whatever the current hot tool is.
→ Too many companies make that mistake.
3/ Create your strategy
You don’t need to overcomplicate this.
We’re not looking for perfection. Instead, you want a useful plan on a page to steer your AI ship.
Get some ideas on this in my detailed “How to build your AI learning strategy” guide.
Here’s a series of AI explainer videos from my YouTube channel you can use:
How Generative AI Works: Everything you need to know about AI (7 part video series)
How to work intelligently with Gen AI tools (11 part video series)
4/ Connect, share and learn
For true success, you need think outside the norm of L&D experiences.
Gen AI moves so damn fast that what we held as gold yesterday is worthless today. I get that can be scary. Its also an opportunity to encourage people to come together to cut through the noise.
My biggest recommendation is to build an internal community around this topic.
I don’t mean a company mandated one. No one wants to be part of that!
I’m positive you’ll find lots of curious and dubious humans who want to explore the Gen AI landscape.
Leverage tools like:
Your company collaboration platform e.g Slack and Teams
Encourage no-code with AI hackathons (you don’t need to be an engineer for this)
Company emails and newsletters
On-demand Gen AI toolkits with prompt templates and how-to videos.
What’s the ROI?
It’s easy for me to tell you to ‘do this’.
But it’s pointless unless it provides ROI for your work and business. The true monetary gains of Gen AI have yet to be realised. What we can see is the individual and team level benefits ↓
10,000 employees told BCG that using Gen AI has:
Saved them time (84%)
Increase speed to deliver (83%)
Improved work quality (81%)
Created time for more strategic work/human stuff (81%)
Decreased time spent on admin (80%)
While this is impressive, I’m curious to learn what these people did with the time they got back.
Luckily, BCG covered that one ↓
What people are doing with all that time
I note they forgot to add ‘drink more tea’. I’ll let them off with that this time.
Get inspired: Case studies to erh…study
Everyone loves a good old case study, don’t they?
In case you missed it, I covered how 3 companies introduced AI tools to their teams. Specifically focusing on the problems they we’re trying to solve, how they deployed tools and tactics you can use too.
Get that on the main site.
Final Thoughts
Workforces won’t use new tools intelligently unless you show them
Building confidence and dispelling fears enables people to build useful future skills
Understanding the Matrix is pretty cool
Resources 🗂️
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Till next time.
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SMART THOUGHTS
🤔 Design with AI experiment: Accessible learning content for all
Remember the days when translating content into multiple languages would take weeks, if not longer?
This was a major issue when I was leading L&D teams a few years back. We had a global audience, but everything was in English. That's hardly accessible if you're speaking one of the other 7,000 languages out there.
This week, I find myself teaching an AI for L&D class for a Latin American business school. They don't speak English, and I don't speak Spanish.
I thought this would be a perfect scenario to test out some Generative AI tools. I decided to give Canva's translation feature a shot. In under 10 minutes, I had translated and edited my entire presentation from English to Spanish.
Safe to say I was impressed!
This isn't just a win for me as a designer. It's a win for accessibility and inclusivity too. Providing content in an individuals native language can make a world of difference, connecting rather than dividing us.
Here's a quick demo of how I used Canva to accomplish this.
💡 2 things I use with ChatGPT to stop those rubbish responses
I suffer with a lot of knowledge bias. I just assume people already know the things I know.
I don’t consider myself smart enough to be ahead of the game in anyway. So, I was surprised over the last few weeks when I showed a few tricks I use with ChatGPT to generate structured output. The response has been crazy, as if I just showed some god like powers.
Anyway, I thought you might benefit from this too.
🔥 AI training for work by a human
In case you don’t know, I’ve had so many people asking me to help their teams and business with Gen AI skills, that I’m now publicly offering my services.
If you want a different approach to meaningful understanding and skill-building with Generative AI for work. I know a guy [Hint: It's me].
I've made some updates to my AI Training For Business site this weekend to answer your burning question about working with moi.
How I can help you
My L&D toolkit stack + AI For L&D Lab with 50 zero-cost tools.
Level up with the only AI course for L&D pros: Join 400 + students to future-proof your skills with practical use cases for L&D.
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