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Speaker 1: Have you noticed an explosion of long AI generated documents

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Speaker 1: that look very polished but are actually full of rubbish.

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Speaker 1: You're not imagining it. AI slop is on the rise,

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Speaker 1: content that's created quickly, looks impressive but has no real

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Speaker 1: critical thought behind it. Today, I'm joined by Inventium's AI expert,

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Speaker 1: Neo Applin. Neo is going to unpack why aislop is

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Speaker 1: becoming so common, particularly in workplaces, the risks that it

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Speaker 1: poses for organizations, and most importantly, what you can do

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Speaker 1: to make sure your own work stands out as being

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Speaker 1: thoughtful and valuable in an AI saturated world. Welcome to

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Speaker 1: How I Work, a show about habits, rituals, and strategies

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Speaker 1: for optimizing your day. I'm your host, doctor Amantha Imber.

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Speaker 1: Before we get into today's episode, I have been geeking

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Speaker 1: out over the research on AI adoption in the workplace,

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Speaker 1: and the data is super clear. The people who master

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Speaker 1: a nutshell, what I'm seeing there are two types of professionals.

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Speaker 1: There are those that are very fluent in AI, and

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Speaker 1: there are those that are just dabbling and pasting prompts

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Speaker 1: from LinkedIn and thinking that they're mastering AI. So if

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Speaker 1: over to that link. It's in the show notes and

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Speaker 1: read more about the program today. Neo, I've heard you

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Speaker 1: use the term AI slop before, and I guess it

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Speaker 1: is kind of becoming an industry term if you like,

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Speaker 1: can you explain what AI slop actually is.

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Speaker 2: The term is being widely used for AI generated stuff

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Speaker 2: of low value, and it can be anything from lots

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Speaker 2: of words like documents and things like that right through

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Speaker 2: to AI videos. You've probably seen a lot of AI

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Speaker 2: videos on your social feeds that is also aislot, but

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Speaker 2: effectively it's AI material that is not valuable, that seems

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Speaker 2: to be created easily and with a lot of volume

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Speaker 2: and more and more volume coming up soon. So yeah,

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Speaker 2: that's more about low value AI created stuff.

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Speaker 1: And why is aislot becoming so common? I feel like

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Speaker 1: I'm experiencing it like every single day of my workday.

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Speaker 2: Yeah, we're seeing it everywhere. We're seeing it in our

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Speaker 2: social feeds, We're seeing it in our LinkedIn there's an

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Speaker 2: awful lot of people creating lots of LinkedIn posts. Now

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Speaker 2: we're seeing it in our workplaces with documents, and the

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Speaker 2: reason is it's easy. Now. We used to think about

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Speaker 2: productive works someone who could create things. And so Neo's

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Speaker 2: awesome because you can create two strategy papers and he's

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Speaker 2: done for analytics things, and three documents and four procedures.

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Speaker 2: But here's the thing. These days with AI, I can

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Speaker 2: create those things in five minutes. You know, three dot points,

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Speaker 2: create me a document, bam, it just does it. What

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Speaker 2: this does, though, is it creates content overload and lots

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Speaker 2: of documents that don't really move the dial that they're

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Speaker 2: just documents or artifacts or pictures for the sake of them.

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Speaker 2: The problem is people then are going to get too

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Speaker 2: many documents to read, and they won't be accurate, they

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Speaker 2: won't be targeted, they won't be exactly what you need,

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Speaker 2: the business needs, what the customer needs, and you won't

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Speaker 2: know which pieces of these documents are actually important versus

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Speaker 2: AI boiler plate. And so we will get buried in

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Speaker 2: these documents because people will want to feel like they're

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Speaker 2: productive and producing lots of things, and so we will

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Speaker 2: then get very, very sick of it with this AI slop.

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Speaker 1: To me, just that the time wastage component is so frustrating.

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Speaker 1: Like I had a conversation with someone this is like

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Speaker 1: a couple of months ago about a potential partnership opportunity.

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Speaker 1: And this person then said, okay, great, I'll you know,

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Speaker 1: I'll put together some thoughts fee to review. And I

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Speaker 1: received this ten page document that was just obviously generated

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Speaker 1: but with jen AI. But the problem was no critical

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Speaker 1: human thought had gone into it, which then means the

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Speaker 1: ball is on my court to review this AI slop.

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Speaker 1: And then I'm feeling really frustrated because there go several

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Speaker 1: hours of my time and ah, it just made me

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Speaker 1: so frustrated. So my question to you is how do

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Speaker 1: we actually fix this problem.

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Speaker 2: It's going to be tough because I can create a

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Speaker 2: document maybe this person I said three or four dot

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Speaker 2: points and now flesh out the document please, and then

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Speaker 2: you've got a ten page document that you've got to

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Speaker 2: plow through. Now you're going to get sick of this,

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Speaker 2: or people will get sick of this. We're going to

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Speaker 2: go get lots of these ten page documents and slide

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Speaker 2: decks and all those kind of things. So we're just

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Speaker 2: going to go, AI summarize that, will you? And when

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Speaker 2: you summarize it, do you think you're going to get

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Speaker 2: the saying three or four dot points that they put

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Speaker 2: in to create them. With AI, we're not, so we're

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Speaker 2: going to get the AI equivalent of I don't know

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Speaker 2: if it's politically correct or not, but Chinese whispers. You

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Speaker 2: know that thing where kids you'd say, you know, Neo

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Speaker 2: likes to talk on the telephone, and then it comes

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Speaker 2: out at the other end as Bob likes to eat

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Speaker 2: elephants or something. You know, So it's going to be that.

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Speaker 2: But with AI, because I'm going to be creating documents

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Speaker 2: easily with my three or four dot points, you're going

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Speaker 2: to get it inundated. You'll summarize them, but the points

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Speaker 2: will be lost. And so how do we stop this? Well,

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Speaker 2: stopping document creations not the answer. I think we still

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Speaker 2: need artifacts, we still need things to be created. But

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Speaker 2: how do we then make sure that people know what

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Speaker 2: the important points are? And I think within workplaces it's

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Speaker 2: something to be discussed. Like the first thing to be

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Speaker 2: discussed is, hey, if we're not careful, we are going

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Speaker 2: to be inundated with slop. So therefore, let's make sure

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Speaker 2: that targeted documents are much much more valuable than ai've

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Speaker 2: created stuff. So how do we together have agreements on

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Speaker 2: creating valuable documents. Maybe it's the first step. The second

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Speaker 2: is when you create documents, how do we call out

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Speaker 2: to humans and AI what the important points are. I

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Speaker 2: like the concept of if you've seen a dummy's guide

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Speaker 2: or an idiot's guide or Cliff's notes, they've got these

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Speaker 2: little callouts sometimes at the start of certain paragraphs or

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Speaker 2: sections and here's the important points. So maybe we need

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Speaker 2: to do things like that so that people and AI

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Speaker 2: can pull out the important points and then if they

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Speaker 2: want to go deeper they can. But ultimately it's a

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Speaker 2: discussion for each workplace for what our normal are as.

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Speaker 2: For society. I think that there's going to be a

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Speaker 2: difficult discussion to have. So maybe we need to be

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Speaker 2: feeling okay with the Hey, I got this ten page

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Speaker 2: document from you. Can you tell me what's really important

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Speaker 2: out of this? Because other than that, I'm just going

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Speaker 2: to summarize this because it doesn't feel like it lands.

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Speaker 2: And maybe we feel okay saying that rather than feeling

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Speaker 2: awkward at the moment saying I think AI generated all

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Speaker 2: your stuff. You know, maybe we need to be okay

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Speaker 2: having that discussion.

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Speaker 1: So if I'm a leader in an organization, what should

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Speaker 1: I be doing differently? Do I need to be thinking

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Speaker 1: about like policies behind how people create content, or.

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Speaker 2: Like what do I do? It's going to be tough.

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Speaker 2: The first thing is this is like a change management challenge.

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Speaker 2: We've all got. This is a new tool, everyone's got.

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Speaker 2: What do we do? What are the norms? How do

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Speaker 2: we deal with this? Leaders obviously need to lead from

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Speaker 2: the front. So when you're creating stuff, leader, don't create

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Speaker 2: AI slop because everyone and your team will then create

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Speaker 2: aislop thinking, well, Neo and Amantha did it somewhere, we

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Speaker 2: can do that as well. So yeah, you've got to

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Speaker 2: lead by example. The other is, let's have that discussion

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Speaker 2: now with your teams. While we've got these tools and

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Speaker 2: we're starting to learn what the norms and what good

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Speaker 2: looks like and what nice polite behaviors in the workplace are,

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Speaker 2: let's start to have those discussions.

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Speaker 1: Now.

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Speaker 2: We didn't need to have those discussions with other AI

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Speaker 2: like word and spell check and grammar check and things

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Speaker 2: like that. They didn't seem to be creating so much

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Speaker 2: problems as this will. But yeah, have those discussions about

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Speaker 2: what good looks like. If we're going to create a

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Speaker 2: document how do we then call out to people and

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Speaker 2: AI what the important points are. How if we create documents,

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Speaker 2: it needs to be targeted as opposed to volume for

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Speaker 2: volume sake, And if it's not targeted, how do we

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Speaker 2: as a team asked question politely about did you just

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Speaker 2: get AI to create this slop versus Hey, look, I'm

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Speaker 2: not quite sure this one hits the mark. So it's

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Speaker 2: going to be a discussion, and I think that now

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Speaker 2: is the time to have the discussion, otherwise we're going

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Speaker 2: to be buried and then people will be feeling it

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Speaker 2: awkward if we've got to change the norms later.

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Speaker 1: Okay, So out of all that, like, what are the

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Speaker 1: key things that you would love people to start doing

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Speaker 1: or stop doing based on this AI slop problem?

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Speaker 2: First off, we need to be kind to each other.

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Speaker 2: Don't just say here's ten page documents that you've created

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Speaker 2: in three seconds and expect them to go through. So

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Speaker 2: let's have an internal reframe where more content doesn't mean

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Speaker 2: good work. Instead, targeted content means great work. How do

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Speaker 2: we then call out parts from that targeted content to

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Speaker 2: show that it is actually targeted. So that's where I

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Speaker 2: like the idea of the dummies guide the cliffs notes

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Speaker 2: kind of thing where you've got main takeaways from each section,

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Speaker 2: maybe in a yellow box at the top of the

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Speaker 2: section so it's easily found out, and things like that,

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Speaker 2: so that people and AI can pull out those main

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Speaker 2: points really immediately, but if they want to go down

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Speaker 2: they can and let's figure out what that needs to

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Speaker 2: be for our workforce. So yeah, let's have let's be

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Speaker 2: kind to each other, not create a whole bunch of

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Speaker 2: documents for the sake of it. Let's be clear about

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Speaker 2: what's important in those documents. And when you do create

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Speaker 2: a document with AI, I think the last thing is

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Speaker 2: how do we show people in our team how that

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Speaker 2: was created? What I mean by that is I'd like

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Speaker 2: to borrow something from the Australian kangaroo made in Australia.

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Speaker 2: You know when you see that green and yellow kangaroo,

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Speaker 2: you've made it, it's been a mad in Australia. Or

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Speaker 2: if you're in a supermarket and you look at food,

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Speaker 2: they've got that bar chart on how much of that

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Speaker 2: food is made in Australia. How do we show to

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Speaker 2: our workmates how much of AI was used in this?

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Speaker 2: So if it was ninety nine percent generated with AI.

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Speaker 2: How do we show that to our colleagues as opposed

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Speaker 2: to look, this is all me, but I've got maybe

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Speaker 2: AI to do some critique on it, and so that's

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Speaker 2: probably a last more extension one. But in reality, let's

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Speaker 2: just be kind to each other targeted content and we'll

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Speaker 2: call out what the most important parts of each section

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Speaker 2: is in the document.

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Speaker 1: Thank you so much, Neo. I do hope that even

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Speaker 1: if just one AI slop document does not get produced

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Speaker 1: because of this chat, then we've done our job, So

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Speaker 1: thank you.

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Speaker 2: You're welcome. Or the other one is if people have

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Speaker 2: one conversation about AI slop and it's not an awkward conversation,

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Speaker 2: they're all on the same page. That's another thing I'd

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Speaker 2: like as well.

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Speaker 1: My biggest takeout from this chat with Neo is that

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Speaker 1: we need to agree that volume of content, like producing

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Speaker 1: lots of reports for example, is no longer a measure

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Speaker 1: of performance. We need to get up at rewarding and

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Speaker 1: recognizing thoughtful and targeted communication. So if you found this

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Speaker 1: conversation useful, please share it with the colleague who's maybe

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Speaker 1: also wrestling with aislop in their workplace. And if you're

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Speaker 1: looking to take your AI skills up to the next level.

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Speaker 1: In Ventium's Genai productivity upgrade is kicking off on October fifteen,

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Speaker 1: and there is a link to more info and bookings

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Speaker 1: in the show notes. If you like today's show, make

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Speaker 1: sure you hit follow on your podcast app to be

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Speaker 1: alerted when new episodes drop. How I Work was recorded

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Speaker 1: on the traditional land of the Warrangery people, part of

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Speaker 1: the Cooler Nation. A big thank you to Martin Nimber

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Speaker 1: for doing the sound mix.