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October 1, 2024 9 mins

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Feeling overwhelmed by the AI buzz?  This episode promises to give you a grounded reality check on AI adoption, backed by fresh data from AI4SP. Discover the surprising results from the Digital Skills Compass, where over 27,000 participants averaged a score of just 45 out of 100, falling short of the baseline needed to comprehend generative AI. Uncover the critical gaps in basic digital literacy — from data privacy to information reliability — and understand the implications for our AI-driven future.

🎙️ All our past episodes 📊 All published insights | This podcast features AI-generated voices. All content is proprietary to AI4SP, based on over 250 million data points collected from 25 countries.

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Episode Transcript

Available transcripts are automatically generated. Complete accuracy is not guaranteed.
Speaker 1 (00:00):
All right, so let's dive right in AI.
Everyone's curious about AIthese days, right?
But I think maybe some peopleare feeling a little overwhelmed
by, like, all the hype you know.
So we're going to unpack somefresh data from AI4SP and try to
cut through the noise a littlebit and see what's really going
on when it comes to AI adoption.

Speaker 2 (00:17):
Kind of like an AI reality check.

Speaker 1 (00:19):
I love that.

Speaker 2 (00:19):
Yeah, just your guide to navigating this new
landscape.
Because, it's exciting, but itcan be a little overwhelming.

Speaker 1 (00:25):
Yeah, for sure.
And speaking of navigatingAI4SP, I actually created this
thing called the Digital SkillsCompass to figure out how ready
we are for an AI-powered future.
So I'm curious are we talkingLewis and Clark exploring
uncharted territory here, or isit more like that friend we all
have who's still using MapQuest?

Speaker 2 (00:46):
Well, you know, based on what they found, it seems
like there are a lot of peopleout there who are stuck with
those old paper maps.

Speaker 1 (00:51):
Oh no, yeah, they had over 27,000 people take this
digital skills compassassessment.

Speaker 2 (00:57):
OK.

Speaker 1 (00:57):
And the average score was a little sobering Forty
five out of 100.

Speaker 2 (01:03):
That's not a good score to bring home.

Speaker 1 (01:05):
No, it's not, Not at all, especially when you
consider that AI 4SP set thebaseline for even beginning to
grasp generative AI at 55.

Speaker 2 (01:13):
So we're not even talking about like knowing how
to use the latest AI chatbot oranything like that.
This is much bigger.

Speaker 1 (01:19):
Much bigger.
Yeah, what was reallysurprising was how much of this
skills gap we're seeing it goesbeyond just knowing which app to
use.
This is about basic digitalliteracy.
Like these are things we shouldreally have a handle on by now.

Speaker 2 (01:32):
So what kind of skills are we talking about here
?
What are we missing?

Speaker 1 (01:35):
All right, well, get ready for this one.
The average score when it cameto data privacy was a measly 28
out of 100.

Speaker 2 (01:41):
And if that's not enough to make you kind of sit
up and pay attention, evaluatinginformation reliability was
equally bad at another 28.
It's almost like we just skipthe whole chapter on online
safety and now we're just outhere.

Speaker 1 (01:54):
Yeah, it's funny, because you hear that and you're
like, oh no, no, no, that's notme.
I'm good at spotting fake news,but with AI generating content
that's more and more convincing,even the experts are having a
hard time telling what's realand what's something that was
just made up by some algorithm.

Speaker 2 (02:12):
Yeah.

Speaker 1 (02:12):
These skills are more important now than ever.

Speaker 2 (02:15):
Absolutely.
And it's not even just aboutyou know, avoiding this
information.
This is about protectingyourself.

Speaker 1 (02:20):
Right.

Speaker 2 (02:21):
On a fundamental level.

Speaker 1 (02:22):
Yeah.

Speaker 2 (02:22):
Think about it Every single click that you make,
every online interaction, isgenerating data.
That's true, and knowing how tosafeguard that data is
absolutely mission critical inthis day and age.

Speaker 1 (02:33):
It's almost like we were all handed these incredibly
powerful computers without anyinstruction manual and just set
loose into the wild west of theInternet.

Speaker 2 (02:42):
That's a great way to put it, and it gets even more
interesting when you look at thespecific skills that people
seem to be lacking when it comesto actually using AI itself.
So on the surface, things mightseem OK.
50% of people said they feltcomfortable using single purpose
AI apps OK, so that's notterrible.

Speaker 1 (03:00):
I was bracing myself for worse after those last
couple of statistics.

Speaker 2 (03:04):
Yeah, but that initial comfort with those
single-purpose apps it's kind oflike thinking you can play the
piano just because you know howto turn it on.

Speaker 1 (03:10):
Oh yeah, I feel that I can barely play chopsticks.

Speaker 2 (03:13):
Right.

Speaker 1 (03:14):
So what's the catch?
What are we missing here?

Speaker 2 (03:16):
Well, here's the thing While half of the people
felt okay using simple AI tools,only 10% were actually
proficient in crafting reallyeffective prompts.

Speaker 1 (03:25):
Wait.
So knowing how to talk to theAI and tell it to do what you
want it to do, 10%, that seemsreally low.

Speaker 2 (03:32):
It's a huge bottleneck.

Speaker 1 (03:34):
Okay.

Speaker 2 (03:43):
Think about it this way you can open up Spotify, but
if you don't know what tosearch for, right, you're
missing out on a world of music,right?
Yeah, it's the same with ai ifyou don't have that ability to
say what you need through theseprompts, you're really only
tapping into like a tinyfraction of its power it's like
the difference between justlistening to whatever the
algorithm throws at you yeah,like find me that obscure 1940s
jazz song that makes me feellike I'm walking through Paris
in the rain.
Exactly and actually getting it.
It's about moving from passiveconsumption to active creation.

Speaker 1 (04:06):
OK, so this is all super interesting, but I want to
bring it back down to earth fora second what does this skills
gap really mean for, like theaverage person who's just trying
to figure out this whole AIthing?

Speaker 2 (04:16):
Well, this isn't just some like abstract tech issue
that's happening in SiliconValley or something.

Speaker 1 (04:21):
Right.

Speaker 2 (04:21):
This is something that really impacts your career,
your future, no matter whatfield you're in.
Gartner actually predicts thatby 2025, 70% of us will be using
AI-assisted tools just in oureveryday work 70%.

Speaker 1 (04:36):
Wow, remember all that talk about like the future
of work and it felt like it wasso far away.

Speaker 2 (04:41):
I know it's like the future is here and AI RSVP yes
to the party right, and thething is, it's not even just
about mastering one specificsoftware or one specific tool.
It's really more about like amindset, a mindset of continuous
learning, being adaptable andbeing digitally fluent, because
in a world where things arechanging so fast, that's what's

(05:03):
going to set people apart.

Speaker 1 (05:05):
So how do we bridge the gap?
How do we fix this?
I'm guessing the old schoolmethods of lectures and
PowerPoints aren't really goingto cut it here.

Speaker 2 (05:13):
Yeah, you're right to be skeptical.
Ai4sp's research actuallyshowed that those traditional
training methods are just notvery effective when it comes to
this kind of learning.
They were seeing less than 20percent engagement.

Speaker 1 (05:24):
Wow.

Speaker 2 (05:25):
With almost zero impact on people's actual
on-the-job productivity.

Speaker 1 (05:29):
So it's like trying to learn how to swim by reading
a textbook.
At some point you're going tohave to get in the water.

Speaker 2 (05:33):
Exactly what they found does work is experiential
learning.

Speaker 1 (05:37):
Okay, exactly what?

Speaker 2 (05:38):
they found does work is experiential learning, so
learning by doing.
Basically, they found that ledto three times more engagement
and people picked up new skillsalmost one and a half times
faster.

Speaker 1 (05:47):
Wow.

Speaker 2 (05:48):
One of the most promising things they found was
this AI-powered coach calledCopilot Ada.

Speaker 1 (05:59):
Copilot Ada.

Speaker 2 (05:59):
Is that like having like a little AI tutor?
Like in your pocket orsomething.
That's a great way to put it.
Yeah, okay, so co-pilot ADAbasically helps people develop
those really important promptingskills by guiding them to
create more effectiveinteractions, and early results
seem really, really encouraging.

Speaker 1 (06:11):
So it's like a personal trainer, but for your
AI muscles Exactly.
We've got AI coaches popping up, which is really cool, yeah,
but it makes you wonder whatabout the folks who are already
pretty good with digital skillsto begin with.
Are they like becoming AIsuperheroes, leaving the rest of
us in the dust?

Speaker 2 (06:28):
That's a great question and it gets to what
AI4SP is calling the AI superuser phenomenon.
Okay, their research showedthat the people who are already
digitally fluent are seeingproductivity boosts between two
and 10 times when they startusing AI.

Speaker 1 (06:42):
Two to 10 times.
Yeah, that's wild.
I mean, what is it about thesesuper losers that makes them so
good at this?
Are they just like inherentlymore tech savvy?

Speaker 2 (06:51):
It's not really about being inherently tech savvy.
I think it's more about havingthose digital foundations in
place, and that allows people tothen use AI to amplify the
abilities they already have.
So you can imagine like someonewho's already a really skilled
researcher, ai becomes like thisforce multiplier that helps
them sift through informationand uncover insights in ways

(07:12):
that they never could have donebefore.

Speaker 1 (07:14):
So it's not that AI is like magically making people
into geniuses overnight, but ifyou're already on the right
track, it's like AI can help youget there way faster.

Speaker 2 (07:23):
Exactly, and that's what makes this whole thing so
interesting.
It's both exciting and a littlebit scary, because it's not
about being left behind.
It's that the gap between thepeople who have these skills and
the people who don't is justgetting bigger.

Speaker 1 (07:36):
Right.

Speaker 2 (07:37):
But the good news is it's not an impossible gap to
bridge.

Speaker 1 (07:41):
Yeah, it's not like we all need to go out and learn
how to code AI or anything.

Speaker 2 (07:44):
Right.

Speaker 1 (07:45):
But it does kind of make you stop and think what's
one thing I could work on toimprove my own digital skills
that would help me out in thisnew world of AI.

Speaker 2 (07:55):
Right, and that's the question, isn't it?
It's going to be different foreveryone.
For some people, it might befinally taking that online
course about data privacy andreally taking control of their
digital footprint.
For other people, it might beas simple as like challenging
themselves to spotmisinformation online and
becoming more careful about theinformation that they trust.
But every little bit helps.

Speaker 1 (08:16):
It's a journey, not a race, right?
The important thing is to startand, hey, if you're listening,
we want to hear from you.
Head over to social media.
Let us know what digital skillare you working on right now.
Use the hashtag.
Hashtag AI, deep dive.
We'd love to keep thisconversation going.

Speaker 2 (08:33):
Yeah, and a big thanks to AI4SP for the work
that they're doing making AIaccessible and practical for
everybody.
You can find out more abouttheir work, learn about the
Digital Skills Compass, maybeeven take it yourself, if you go
to their website at wwwai4sporg.

Speaker 1 (08:46):
Awesome.
Well, that's all the time wehave for today's Deep Dive.
Until next time, stay curious.
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