WEBVTT - The One Question Every Leader Should Ask About AI

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<v Speaker 1>If you're a leader who's rolled out an AI tool

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<v Speaker 1>like co pilot or chat GPT and wonder Light hasn't

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<v Speaker 1>led to the big productivity gains you were promised, or worse,

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<v Speaker 1>it feels like you've created more mess. You are not

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<v Speaker 1>alone because on paper, this stuff should be easy. Give

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<v Speaker 1>people access, maybe run a short demo and let them

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<v Speaker 1>figure it out. But in reality that approach often leads

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<v Speaker 1>to confusion, resistance, and a lot of wasted time. And

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<v Speaker 1>it's not because your people are unwilling or slow to adapt.

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<v Speaker 1>It's because AI adoption isn't really a tech problem, it's

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<v Speaker 1>a people one. So in this episode, Neo and I

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<v Speaker 1>unpack the single most important question every leader should be

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<v Speaker 1>asking about AI and what to do once you've asked it.

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<v Speaker 1>We're going to talk through why giving people licenses without

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<v Speaker 1>support backfires, how poor AI use can actually reduce productivity,

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<v Speaker 1>and three things leaders need to get right from day one.

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<v Speaker 1>By the end, you're going to have a much clearer

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<v Speaker 1>sense of how to bring AI into your organization without

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<v Speaker 1>losing trust, time, or momentum. Welcome to how IAI with Me,

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<v Speaker 1>Doctor Amantha Imba and Neo Applan, head of Inventium, AI.

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<v Speaker 1>Each episode we share one practical way to use AI

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<v Speaker 1>better at work and in life. No fluff, no tech jargon,

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<v Speaker 1>just things you can use straight away. So, Neo at

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<v Speaker 1>Inventium AI, we work with so many different teams and

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<v Speaker 1>we've probably worked with hundreds and hundreds of different leaders

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<v Speaker 1>at this point in time, and they have got a

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<v Speaker 1>lot of questions for us. But today we want to

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<v Speaker 1>talk about the one question that we think every leader

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<v Speaker 1>should be asking about AI. So tell me, Neo, what

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<v Speaker 1>is this one question that every single leader should ask

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<v Speaker 1>about AI.

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<v Speaker 2>It's about how can I help my people be ready

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<v Speaker 2>for AI? Because it's a people problem, not a technology problem.

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<v Speaker 2>We found this every single step along the way, where

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<v Speaker 2>simply giving someone here's an AI, go for it. You've

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<v Speaker 2>got CHPT, you've got clawed, you've got Gemini go is

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<v Speaker 2>actually a recipe for disaster. They've shown this in so

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<v Speaker 2>many studies of implementations globally. There've been cases where people

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<v Speaker 2>have effectively demigrated, which is the staff have risen up

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<v Speaker 2>and said, take this damn thing off my computer now.

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<v Speaker 2>And so that's an expensive problem to have. It's an

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<v Speaker 2>expensive mistake to have, and not just that you've got

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<v Speaker 2>a whole bunch of staff members who are then disenfranchised,

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<v Speaker 2>don't feel like they we listen to and things like that.

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<v Speaker 2>So this is very much a people dimension. So how

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<v Speaker 2>do we get our people ready for AI?

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<v Speaker 1>I am personally surprised at how many organizations we encounter

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<v Speaker 1>that have given people a paid license for whatever their

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<v Speaker 1>AI tool of choice is and they haven't done anything

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<v Speaker 1>in terms of building capability. They think, oh, it's just

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<v Speaker 1>like Google. You just you know, speak to it in

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<v Speaker 1>your caveman, you know, best restaurants, Melbourne speak, and it's

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<v Speaker 1>just intuitive how to get the best out of it.

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<v Speaker 1>But for you and I I think, because we're deep

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<v Speaker 1>in this space and we have been using it every day,

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<v Speaker 1>multiple times a day, for gosh like about three years now,

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<v Speaker 1>to get the best out of it, it's not actually intuitive.

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<v Speaker 1>So what are some of the things that leaders can

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<v Speaker 1>practically do to set their teams up for success assuming

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<v Speaker 1>they have just implemented or rolled out a paid version

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<v Speaker 1>paid licence since the it's a their AI tool of choice,

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<v Speaker 1>or they're thinking about doing that in the coming months.

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<v Speaker 2>First off, telling people why why you will think that

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<v Speaker 2>AI is a good thing. Now, we found the most

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<v Speaker 2>successful organizations give the why, not that we're going to

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<v Speaker 2>replace people and get bitter people in their jobs. That's

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<v Speaker 2>going to make people scared. The why often we've found

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<v Speaker 2>from organizations is we've got people who are already overloaded.

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<v Speaker 2>They're already feeling like they've got to work seventy out

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<v Speaker 2>of hours a week. How do we get people so

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<v Speaker 2>they can reliably do their forty hours a week to

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<v Speaker 2>be able to get more done and also to do

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<v Speaker 2>more important things. So you're doing a ministrivia, I'm doing

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<v Speaker 2>everyone's doing a minister via. Why don't we get AI

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<v Speaker 2>to do some of that in misterrivia so we can

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<v Speaker 2>focus on the important stuff. The leaders that I've spoken to,

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<v Speaker 2>most of them recognize that this is the thing that

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<v Speaker 2>really is going to drive their business forward, rather than

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<v Speaker 2>get AI to replace people, because particularly with these kinds

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<v Speaker 2>of AI, this is very much a knowledge worker AI.

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<v Speaker 2>It's plucked into your applications, your emails and things like

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<v Speaker 2>that to help you to do your day. Because, of course,

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<v Speaker 2>the other AI, which is like full on automation and

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<v Speaker 2>things like that, so that's a completely different type of

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<v Speaker 2>AI and also different kind of human question. But getting

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<v Speaker 2>copilot on your desktop very much a human problem. So

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<v Speaker 2>saying the why and really making sure that people understand that,

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<v Speaker 2>I mean understand viscerally understand, like we actually care about

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<v Speaker 2>our staff, we care about your job, and you're doing

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<v Speaker 2>a lot of you know, standard stuff that could be

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<v Speaker 2>done better by AI. Let's get you doing the smarter things.

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<v Speaker 2>So yeah, when that's actually framed as a people problem,

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<v Speaker 2>then people do resonate and they go, yes, this is good.

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<v Speaker 2>I am actually on board with this. The other thing is,

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<v Speaker 2>don't just give the tools and say that's good enough.

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<v Speaker 2>We've had quite a few teams who when it's got

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<v Speaker 2>a wonderful interface, this chatbot gonna interface where there's a

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<v Speaker 2>prompt spot and a go button and a plus buttoned

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<v Speaker 2>upload a couple of files, like, it's wonderful and simple,

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<v Speaker 2>but it doesn't tell you how it's actually going to

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<v Speaker 2>work and how you should work with it. I'm sure

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<v Speaker 2>you've heard of people who have a microwave, but all

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<v Speaker 2>they do in the microwave is they use it for defrosting,

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<v Speaker 2>or people with expensive thermo mixers who only make smoothies

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<v Speaker 2>out of it, and things like that. Ais are just

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<v Speaker 2>the same. There are quite a few people out there

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<v Speaker 2>who know two or three things to do an AI

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<v Speaker 2>and that continue doing those two or three things. But

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<v Speaker 2>it's onthing touching the surface of what it can achieve.

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<v Speaker 1>I find that the most common thing I hear from

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<v Speaker 1>leaders that I meet with is you know, people are

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<v Speaker 1>using it for their emails and stuff, and I just think,

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<v Speaker 1>oh gosh, like that's that's not good. And then I

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<v Speaker 1>also find that it can also actually reduce productivity when

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<v Speaker 1>people are doing that, because inevitably they're just putting in, oh,

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<v Speaker 1>communicate this these three dot points, and then they'll get

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<v Speaker 1>a really lengthy and wordy email that is clearly written

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<v Speaker 1>by AI, and then the recipe recipient or the recipients

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<v Speaker 1>then have to waste their time reading a potentially quite

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<v Speaker 1>a long email just to get the three bullet points

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<v Speaker 1>that were originally put in. So, I mean, it's just

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<v Speaker 1>another example of how if people are not trained in AI,

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<v Speaker 1>you're actually going to pretty much kill off any productivity

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<v Speaker 1>benefit that you think AI is going to give you.

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<v Speaker 2>And the other problem with AI being overused, particularly with productivity,

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<v Speaker 2>is if I just get my AI to write three

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<v Speaker 2>dot points and it writes a big document or a

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<v Speaker 2>big email, you'll then use AI to summarize it, and

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<v Speaker 2>so then it's going to be organizational Chinese whispers where

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<v Speaker 2>no one's really going to understand what everyone's talking about,

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<v Speaker 2>and so you will not get productivity with that. So

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<v Speaker 2>then the next part is showing people how they can

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<v Speaker 2>actually use AI in a productive way. So how it

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<v Speaker 2>can help you to ID eight, how to be more creative,

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<v Speaker 2>how you can get it to review your work and

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<v Speaker 2>make your work better, How you can help it with

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<v Speaker 2>your problem solving, or as we've talked about before, organize

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<v Speaker 2>and plan your day and break down your tasks and

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<v Speaker 2>things like that. So using there's a buddy and an

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<v Speaker 2>expert rather than just your email running slave is so

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<v Speaker 2>much more productive organizationally. But people need to be shown this.

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<v Speaker 1>What else deleters need to do to get their teams

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<v Speaker 1>ready for AI?

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<v Speaker 2>One is technology, So just simply buying take copile it

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<v Speaker 2>as an example, which a lot of companies do. Buying

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<v Speaker 2>copelet throwing it in into saying you go and now

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<v Speaker 2>maybe some training, which is great. Absolutely yes, do the training,

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<v Speaker 2>but technology wise is not alone, particularly if you're going

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<v Speaker 2>to plug it into your systems, your email and your data.

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<v Speaker 2>So if you are going to allow your AI to

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<v Speaker 2>be able to search documents, you get massive productivity benefits.

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<v Speaker 2>So I can then say, hey, help me with these

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<v Speaker 2>three documents, will help me find that thing or tell

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<v Speaker 2>me about everything we've done with client X. So power

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<v Speaker 2>is amazing there. However, you don't lock some things away.

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<v Speaker 2>I could say how much is Amantha being paid? Or

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<v Speaker 2>where was the last HR problem last month? And things

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<v Speaker 2>Things you don't want to go public can go public

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<v Speaker 2>in all least within your organization. So when you get

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<v Speaker 2>to place these organizational tools in, make sure that your

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<v Speaker 2>data people have had a look through it and we're

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<v Speaker 2>protecting things like staff data, company data, customer data, privacy

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<v Speaker 2>and all those kind of things in the way that

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<v Speaker 2>we need to as for our company and policies.

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<v Speaker 1>So just a summarize for leaders, you really need to

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<v Speaker 1>be thinking about what do I need to do to

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<v Speaker 1>help my team be AI ready. We've talked about three

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<v Speaker 1>main things. Firstly, the why, make sure you and your

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<v Speaker 1>people are really clear on the why you are doing this. Secondly,

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<v Speaker 1>make sure you are building capability AI and getting the

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<v Speaker 1>best out of to augment your thinking and save hours

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<v Speaker 1>as well. On the productivity front, it's not necessarily intuitive

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<v Speaker 1>and in fact looks you can do some things, but

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<v Speaker 1>often when people just use it out of the box,

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<v Speaker 1>it's actually creating more work for other people due to

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<v Speaker 1>AI slop as opposed to saving time and hours and

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<v Speaker 1>improving your thinking. And then finally, make sure with whatever

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<v Speaker 1>you're connecting it into that you obviously are thinking these

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<v Speaker 1>things through and not releasing people's salary details for example.

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<v Speaker 2>And as a bonus point here, I'd say train your

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<v Speaker 2>changed leads, which might be your team leads, it might

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<v Speaker 2>be dedicated to change leads to be able to help

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<v Speaker 2>people to fit AI into their workday. So I'm writing

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<v Speaker 2>a report every week, get the change lead to help

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<v Speaker 2>me to figure out how I can get AI to

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<v Speaker 2>help me to make that report writing task a lot faster,

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<v Speaker 2>a lot more simple. So that's the showing people how

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<v Speaker 2>to use every function on the firma mixed kind of problem. Now,

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<v Speaker 2>the thing is that often me is just a regular

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<v Speaker 2>staff member. I'm not tapped into all those things. So

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<v Speaker 2>as far as what the capabilities are, the best practice,

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<v Speaker 2>how to plug it into these tools and things like that.

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<v Speaker 2>So having the changed leads who have first off been

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<v Speaker 2>through training themselves and additional training, like we offer proper

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<v Speaker 2>change lead at training, but make sure that they know

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<v Speaker 2>more than just which button to press. It's more about

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<v Speaker 2>how this tool can help people in their workflow. That's

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<v Speaker 2>where the real benefits come in. Because simply saying you

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<v Speaker 2>can use it to help you write documents is great.

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<v Speaker 2>Showing them how that document can be written or changed,

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<v Speaker 2>or analyzed or or brought into a whole bunch of

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<v Speaker 2>things is the valuable part. So those change leads and

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<v Speaker 2>being able to work with people so so important to

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<v Speaker 2>be able to get productive in the organization, and also

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<v Speaker 2>in a way that people feel supported.

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<v Speaker 1>If you are listening to this and thinking, oh my goodness,

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<v Speaker 1>I've not done any of this yet, I am a leader.

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<v Speaker 1>Give me and I drop us a note. We are

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<v Speaker 1>helping companies with these kinds of challenges every single day.

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<v Speaker 1>There's an email address in the show notes and we

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<v Speaker 1>will see you next Monday. If you found this useful,

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<v Speaker 1>please help us spread the AI love and share it

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<v Speaker 1>with someone who you think would benefit from knowing what

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<v Speaker 1>you now know. And if you're ready to really start

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<v Speaker 1>mastering AI, check out Inventium dot ai. We help individuals, teams,

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<v Speaker 1>and organizations turn Jenai into a real work superpower, saving

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<v Speaker 1>ten plus hours a week and staying future ready without

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<v Speaker 1>the jargon or overwhelmed. Thanks so much for listening and

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<v Speaker 1>we'll see you next time on how IAI. How IAI

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<v Speaker 1>was hosted by me Amantha Imber and Neo Applan. A

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<v Speaker 1>big thank you to Martin Imba who does our sound editing,

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<v Speaker 1>and Jim Rubio for production support, and thank you to

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<v Speaker 1>John Kilby who composed the theme music.