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Episode: Cognilytica’s AI-Enabled Vision of the Future: The AI-Enhanced Organization [AI Today Podcast]

Author: AI & Data Today
Duration: 00:16:40

Episode Shownotes

The Four-Part AI-Enabled Vision of the Future In 2018, when at the time we thought AI hype couldn’t get any more hype-y, we at Cognilytica spent time thinking about what the broad implications of AI would be on our individual lives, our business and work lives, and on society in

general. This thinking led us to put together our four-part vision we called the “AI-Enabled Vision of the Future”. Continue reading Cognilytica’s AI-Enabled Vision of the Future: The AI-Enhanced Organization [AI Today Podcast] at Cognilytica.

Full Transcript

00:00:01 Speaker_00
The AI Today podcast, produced by Cognolitica, cuts through the hype and noise to identify what is really happening now in the world of artificial intelligence.

00:00:10 Speaker_00
Learn about emerging AI trends, technologies, and use cases from Cognolitica analysts and guest experts.

00:00:22 Speaker_01
Hello and welcome to the AI Today podcast. I'm your host, Kathleen Mulch. And I'm your host, Roran Schmelzer.

00:00:27 Speaker_02
And AI is the topic of every conversation, but it's always been the topic of every conversation at AI Today because this is the AI Today podcast.

00:00:36 Speaker_02
And one of the things that we've been doing in the last few podcasts is really going over a number of series. where we focus on a particular topic and dive into it into some detail. Many of you have been listening to the AI Today podcast for years.

00:00:51 Speaker_02
As you know, we've been around since 2017. So this is our seventh season going into our eighth season, not too long from now, with hundreds of episodes.

00:01:00 Speaker_02
And the reason why I mention this is because you can go back and listen to so many of our episodes where we've covered so many topics, like how AI is being applied to different industry, trustworthy AI,

00:01:11 Speaker_02
are we some prompt engineering series are glossary series are use cases all sorts of different series that we have done of course tons of interviews and you can see that we have been fairly consistent here you know the hype wave of a i s has caught up the train has left the station people are jumping on board

00:01:30 Speaker_02
But we have been covering this topic for a long area, and there's some topics that we are revisiting because we have been fairly ahead of the curve.

00:01:38 Speaker_02
And we want to talk a little bit about where we see things heading even in the future, so you can come back and listen to it years from now and see how we had thought about the markets for AI.

00:01:49 Speaker_01
Exactly. So we have some great early podcasts about, does AI matter? We also had podcasts about the AI winters. In case you're not familiar with that, I encourage you to go back and listen to it.

00:01:59 Speaker_01
And then we've revisited a few times, does AI still matter? But for today's podcast and in this series, we wanted to talk about what the AI-enabled future looks like.

00:02:09 Speaker_01
Back in 2018, Cognolitica did this exercise, and we said, what is the AI-enabled vision of the future going to look like? And now, In 2014, we want to spend some time revisiting that.

00:02:21 Speaker_01
So if you're not familiar, the AI-enabled vision of the future has four parts. The AI-enhanced organization, autonomous or augmented everything, pervasive knowledge, and enhancing the human experience.

00:02:35 Speaker_01
So in our last podcast, we talked at a high level about the AI-enabled vision of the future and why we're revisiting it. So I'll link to that in the show notes if you'd like to listen to that podcast.

00:02:44 Speaker_01
But for today's podcast, now we're going into our series, and we want to dive deep into the AI-enhanced organization and what that is going to look like. A lot of people are talking about how AI is impacting their role specifically today.

00:03:03 Speaker_01
Ron and I speak at a lot of different conferences. We actually were just at a conference earlier this week, and there's still a lot of fears when it comes to AI, especially generative AI.

00:03:14 Speaker_01
And we say, okay, you know, you have to acknowledge these fears. You have to understand that this exists. You're dealing with, you know, many different generations in the workforce and who's working with AI. But in the future, what does that look like?

00:03:27 Speaker_01
You know, five, 10, 20 years from now, I don't think people are still going to have these fears when it comes to artificial intelligence. And if they do, they really are going to be those laggards and left behind. So what does this look like?

00:03:41 Speaker_01
So we can say, OK, this is what, you know, that that is now. Sometimes people go, well, the future is now. And we say, OK, that's great. We're talking about today. But what what about five, 10, 20 years from now?

00:03:51 Speaker_01
And we have to think about, you know, we have this this younger generation that's going to be in the workforce. especially 20 years from now, they'll be very vibrantly in that workforce. So what is the AI-enhanced organization going to look like?

00:04:04 Speaker_02
Right. And the reason we talk about this is to say there's some evidence of inevitability, if you want to think of it that way, of what's going to happen when we apply AI to certain areas. We don't know how soon that might be.

00:04:17 Speaker_02
That might be in the year ahead. We say 5, 10, 15. The reason why we're not saying 20 years from now is because it might be sooner than we think.

00:04:23 Speaker_02
It's more of a matter of inevitability, and the reason why I say it's inevitable is because you can already see the patterns that people are starting to apply AI.

00:04:32 Speaker_02
There's a certain characteristic about AI, which is a little different than, say, enterprise software or mobile.

00:04:39 Speaker_02
Or even the internet and that is that once people see the possibility of what you can do with these more intelligent systems people start applying them everywhere even in places where they shouldn't be applied right so it's almost like over application rather than under application people are usually not overly cautious when they start using it.

00:04:59 Speaker_02
So when we talk about these four visions here, what we're thinking about is we believe that AI will impact every aspect of our life, you know, from our working life to our personal life, to the society and environment around us.

00:05:12 Speaker_02
When we talk about things like pervasive knowledge, what happens when other people may know everything about us and the government, things like that. And then even like the way we do creativity. So in this one, we want to think about the work life.

00:05:24 Speaker_02
What's going to happen to the future of work? What's going to happen to the workplace? What's going to happen to the way organizations work? And there's a few aspects to it. There's some things that I think are obvious.

00:05:35 Speaker_02
I think for those who are paying attention, there's some things I think that are not so obvious, right?

00:05:40 Speaker_02
So the first thing, of course, is that I think in the AI-enabled future, so we've already fast-forward and we're in this workplace of the future, AI is going to be accepted and expected to be the augmented assistant that's going to help with all of the so-called chores and tasks that people do now.

00:06:01 Speaker_02
I think in the future, people will look back and say, I can't believe people were doing data entry. I can't believe people were generating reports. I can't believe people were basically filling out task things like Trello and Jira and Atlassian.

00:06:19 Speaker_02
And people are going to be like, what were we doing?

00:06:21 Speaker_02
I mean, we were moving paper around and processes around, just like if we went back to the workplace, the 1950s, the 1960s, you saw people at desks with typewriters and filing cabinets and you're like, All of that is going to be gone.

00:06:37 Speaker_02
Trust me, in the future, there will not be filing cabinets here, maybe except for record storage offices. There will not be armies of secretaries and typewriters typing in memos.

00:06:48 Speaker_02
That's what email is for, and we have word processing for everything else. We're telling you that in this AI-enabled vision of the future, we're going to be using AI as this

00:06:59 Speaker_02
general tool to basically handle the vast majority of the non-job specific tasks.

00:07:08 Speaker_02
What I mean by that is that people only do their primary job a small percentage of their workday and they sacrifice most of their day to these tedious tasks such as reporting and analysis or documentation and data entry, the chores, right?

00:07:26 Speaker_02
And in the AI-enabled future, I mean, it's just going to become expected that AI systems will do that. One, because it's useless for humans to do it, but also because their competition will be doing it.

00:07:36 Speaker_02
And if they're doing things the old way, it would be like a bank operating without computer tellers and everybody working in handwritten ledgers. If a bank did that today, they would be out of business.

00:07:47 Speaker_01
Absolutely. I know. I don't think you'd want to use them anymore, right? Oh, sorry, I can't log in to find my balance. Oh, I can't, you know, transfer money. I need to bring in a paper ledger. Right.

00:07:59 Speaker_01
And, you know, and we do like to think about this because you need to say, OK, it's not just, you know, what I'm thinking now, but how are other people doing this? What is the art of the possible?

00:08:08 Speaker_01
And it is this, you know, a very thought provoking exercise that we encourage all of our listeners to do as well. Another thing that we talk about is automation. And we always say automation is not intelligence.

00:08:20 Speaker_01
So you can have a system repeat a task over and over, and it's incredibly helpful, but it is not intelligent.

00:08:29 Speaker_01
In the AI-enabled future, especially with the organizations, we're really going to move from that straight automation to real intelligent automation. And, you know, what is that going to look like?

00:08:43 Speaker_01
So back, you know, just a few years ago in this heyday of early AI, robotic process automation, RPA, was really peddled as, you know, this desktop automation workflow.

00:08:56 Speaker_01
A lot of these companies were saying it's going to be intelligent, we're bringing AI capabilities into it. But for the most part, it's still just straight automation. And again, it's incredibly useful, but it is not intelligent.

00:09:09 Speaker_01
So in the future, you know, it can only get us so far.

00:09:13 Speaker_01
So in the future, what is the organization going to look like when we can actually have real intelligent automation processes and workflows that are going to handle whatever is thrown at them and deal with these ever-changing needs and moving data, moving information,

00:09:31 Speaker_01
around with your organization. So back in 2019, Cognolitica actually championed this idea of the levels of intelligent process automation. And we said, what is it going to look like? Where are we today? And what's the end vision, right?

00:09:46 Speaker_01
Because whenever we talk about artificial intelligence, we always say this is a journey.

00:09:49 Speaker_01
So maybe, you know, you can be wherever you are in your journey right now, but understand that this is a journey and we want to be moving forward, not backwards in our journey.

00:09:58 Speaker_01
So we say we start with level zero, just like with autonomous vehicles, where that's straight automation, there's no intelligence. Just like driving a car when you don't have any AI features.

00:10:10 Speaker_01
Yeah, of course, it's still gonna get you from point A to point B, but the human's fully in control.

00:10:14 Speaker_01
Of course, this automation is still gonna work and get you from point A to point B on whatever you're trying to do, but there's a big human in the loop, right? The human needs to be telling it what to do.

00:10:25 Speaker_01
Moving forward, then we have level one, so we're bringing in a little bit of maybe natural language processing. Level two, we're bringing in a little bit more. But level three, that is our end goal.

00:10:35 Speaker_01
That is our vision, where we can have these fully autonomous, intelligent processes moving through the organization.

00:10:42 Speaker_01
When we get to the AI-enabled vision of the future, when that future organization really has intelligent process automation, what does that look like? How are processes going to be changed and enhanced?

00:10:57 Speaker_01
How is this technology going to be able to be super adaptive? And what does that mean for the employees at the organization as well, where things can change incredibly fast?

00:11:08 Speaker_02
Yeah, I want to sort of bring a couple of like real-world case in point, right? Every industry has this. So think about you go to the doctor's office, you're filling out some form to collect your information.

00:11:18 Speaker_02
That has to make its way into a variety of systems. So somebody is basically going to take the form that you just wrote, that information, and they're going to type it in. to another system.

00:11:29 Speaker_02
And then that's going to go somewhere else, maybe to the health insurer or some other place, and they're going to get that form, and maybe they might actually re-enter it into another system or transfer it to another system. Swivel chair integration.

00:11:40 Speaker_02
Type here, you type there, right? I could even be talking about law enforcement, police officers. They do policing, but what do they spend half their time doing? Writing reports, building out data, getting them into the system.

00:11:51 Speaker_02
Government officials, IRS people, what do they spend their time doing? Do they spend their time doing that? No. They spend their time doing data entry, entering reports, putting it in systems. I can go on and on and on and on.

00:12:02 Speaker_02
And if you look at the workforce, the vast majority of the workforce is spending their time doing that or just spending their time handling that. Like people in accounts payable, their job is not accounts payable. They're not paying.

00:12:17 Speaker_02
They're spending their time doing data entry, data transfer, right? So these tools that emerged in the last half of the last decade were really focused on making that more efficient.

00:12:28 Speaker_02
But all they were doing is automating the generation of the paper and the data entry and the data transfer. Does this make sense in an AI-enabled future? And the answer is no, because you're going to be talking to some sort of system.

00:12:43 Speaker_02
It'll have that information, and that system will probably be talking or communicating to another system. To stick a human in the middle of that loop makes absolutely no sense, right?

00:12:56 Speaker_02
And while I think the RPA vendors have been very clever, and I think their technology has been incredibly useful, and I think it's helped with the digital transformation logjam, right, moving past people and paper-bound processors,

00:13:09 Speaker_02
I think that in the future, it will have been seen as like a temporary stopgap. Because in the AI-enabled future, even if the machines need to talk to another machine, like a system, even now you can ask the LLM to do coding for you.

00:13:26 Speaker_02
Why can't you say, can you please figure out how to do the entry into my SAP system or whatever? Right? I mean, I can knock my head, smack my head thinking about this. Even the SAP system will have AI built into it because they will be adding AI.

00:13:42 Speaker_02
So why would they have a system for data entry when you could probably just talk to the SAP system? I'm not going to use SAP.

00:13:51 Speaker_02
Any of the ERP systems or the CRM systems or the employee health care systems or the HR systems, you'll just talk to them and you'll be like, new patient, blah, blah, blah, or patient, you talk to the system. Here's a little microphone, whatever.

00:14:04 Speaker_02
You talk to it. Yeah, I mean, whenever I go into a doctor's office now, I like really cringe. I think the data entry stuff is terrible. I think the amount of personal information is terrible. I think that People, you know, all of this stuff, my goodness.

00:14:19 Speaker_02
And I think in the AI-enabled vision of the future, I think a lot of that's going to go away.

00:14:23 Speaker_02
And I know this is like kind of one little, you know, little aspect of it, but think about every other process in an organization and what will happen when we apply what we're doing right now with AI to all that in the future.

00:14:36 Speaker_01
Exactly. It really comes down to efficiencies, right? How am I going to allow AI to bring efficiencies to whatever process I'm doing at my organization or in my personal life or, you know, how that's going to be impacted.

00:14:51 Speaker_01
And when we talk about AI too, we talk about the seven patterns of AI very regularly because it helps us break it down one level further. So when it comes to intelligent process automation, we want to be talking about the autonomous pattern of AI.

00:15:05 Speaker_01
Right now, we say that that is the hardest pattern because the goal is to fully remove the human from the loop. But as these systems continue to get more intelligent, as we as humans continue to feel more comfortable working with these AI systems,

00:15:20 Speaker_01
How are we going to move forward as a society and how are we going to move forward as an organization? We also talk a lot about hyper personalization. So this is now being able to treat each person as an individual.

00:15:31 Speaker_01
We can apply that to health care, for example, where, you know, just because Ron and I live in the same neighborhood doesn't mean that we have the same health care needs, of course. And it's like, oh, duh, you chuckle a little.

00:15:44 Speaker_01
But, you know, say that Ron and I are the same gender and the same age and we live on the same block and

00:15:50 Speaker_01
You know, like, we're still not the same person, we have different health histories, we can have, you know, different issues that we want to be dealing with same with finance, same with education.

00:16:01 Speaker_01
So how can we apply that hyper personalization pattern to the AI-enhanced organization. And now we can have mass customization and mass personalization at scale, both internally and externally from the organization.

00:16:15 Speaker_01
So right now we see a lot of organizations want to have AI-enabled chatbots to help facilitate interaction with customers, with employees, maybe an IT help desk, with citizens, if it's different, you know, government organizations, maybe different stakeholders.

00:16:31 Speaker_01
and it's can be somewhat personalized but for the most part it's you know either a non-intelligent chatbot that's just kind of helping with these faq style answers or it's a more intelligent one but it might not be super personalized towards me where

00:16:47 Speaker_01
You know, say I'm trying to interact with the bank and I'd like to save for retirement or I'd like to save for an upcoming vacation or I'd like to save for my children's college education, whatever it is your goal is that you're trying to save for.

00:17:04 Speaker_01
based on a number of different factors and maybe things that are going on in my life, that may change. And so again, Ron and I's finances may look very different.

00:17:12 Speaker_01
I may say, okay, I'd like to save, you know, there's this, this big trip that I know is coming up in five years. It's a really large, you know, family reunion, and it's going to be 10 days over here, you know, put all this information in.

00:17:24 Speaker_01
I'd like to save X amount of money so we can pay for 10 people to go. Whatever this is, how can I hyper personalize that experience for me?

00:17:34 Speaker_01
So again, how can organizations think about not just today, but in the future, what is this mass customization and mass personalization at scale?

00:17:44 Speaker_01
going to look like so that you can service all of your different customers needs while they are still you know unique and you understand that and that you can you can really service them so that you are making sure you know holistically everybody is feeling satisfied working with your organization.

00:18:02 Speaker_01
Because if you're not doing this, then eventually you're going to be that dinosaur, and maybe your company can go under. We talk about this even now with what did AI and the AI landscape look like when we started this podcast back in 2017 versus now?

00:18:18 Speaker_01
Who were some of the players in the space back then, and who are some of the players in the space now? How have things changed? How have some companies been really AI first, really AI forward, and they're taking the lead?

00:18:31 Speaker_02
Yeah, I mean, oh my God, so many cases and points. I was like, I want to give you guys some things to think about, right?

00:18:36 Speaker_02
So right now, sort of like the general way that you interact with products and services, unless you go directly to their website, is it's very search oriented. So you're looking for something, right? We've been sort of trained in that pattern, right?

00:18:52 Speaker_02
But the more and more you start using conversational LLM systems, chatbots, you realize that doesn't really make sense. So, I want to give a case in point, the hyper-personalization as an example.

00:19:02 Speaker_02
You're chatting with a chatbot while you're thinking, I want to save up for some goal. Well, sort of like in the previous mentality, you would go do a search. You're like, I would like to know how to save for retirement.

00:19:13 Speaker_02
What ends up happening now, today, not the AI-enabled future, is you get a whole bunch of search results which have most likely been gamified because People are trying to sell products, you know, they're trying to sell stuff.

00:19:27 Speaker_02
So you get some sponsored links, you get some SEO gamified stuff, right? And then you as the person need to search, sort through all that. You got to read all that stuff. You got to multiple tabs open like everybody does.

00:19:40 Speaker_02
And then you try to do something to figure it out. And then maybe your question's answered, maybe you're not. Oh, man, this is not how it's going to be done in the future. You will just ask your question. You will just ask your question.

00:19:50 Speaker_02
Hey, personal chat bot. First of all, you already know who I am, because even now with chat GPT, you can turn on the memory feature, right? Which means it can remember you. So you don't have to introduce yourself again.

00:20:00 Speaker_02
You're like, I'm looking to save for retirement or I'm looking to save for college. Oh, great. I already know about you, blah, blah, blah. You could say, well, maybe I'll ask you just a couple more questions. What do you think is going to happen next?

00:20:12 Speaker_02
Do you think you're going to go do a web search after that? Hell no. You're going to say, give me a recommendation. Tell me what I should do. And you could say, well, you're already banking with somebody. Here's a couple of products out there.

00:20:24 Speaker_02
Hey, your bank doesn't have this. Or whatever the thing is, maybe you should go look here for the services.

00:20:30 Speaker_02
yes you're going to be doing all of your interaction through the prompt through the conversation you are not going to be going back to pick your search engine of choice right and i think

00:20:46 Speaker_02
Those search engine providers, they can see the writing on the wall. They're not stupid, right? Because they're involved in the same LLM process as everybody else. Now they're basically turning their little search bars into prompt engines.

00:20:57 Speaker_02
But that's not how it's going to work. You may have the LLM on your phone, on your device. You're just going to talk to it there, right? And that's why Apple, they've all figured this out too. Everybody knows where this is going.

00:21:11 Speaker_02
That's why we're saying this is the AI-enabled vision of the future. This is where it will be. So if you have a new product or service, you need to make sure you get into the prompt response. Forget about gamifying SEO.

00:21:22 Speaker_02
This is going to change the whole world of content development, which has now become ridiculous because it's all just content farming with links and SEO games.

00:21:31 Speaker_02
It's going to change the world of marketing, because how do you market in an AI-enabled vision of the future? But also, this connects to the last thing we just talked about. Remember how we talked about how we're moving away from dumb automation?

00:21:43 Speaker_02
Well, if you're already talking to your LLM and you're telling it you need some health service or something, why would it not then in turn just

00:21:53 Speaker_02
say oh i can already hey i can send your information i can would you like me to help you with this process would you like me and then no one's going to be entering forms anymore it's like it's so dumb because it'll be like okay help me with the process and it might be like i already know your name i already know your address i know all this sort of stuff i already know your history now if you're not comfortable

00:22:11 Speaker_02
the AI system doing it, then maybe you say, don't remember this, I don't want you storing it, but you still talk your way through the process.

00:22:19 Speaker_02
I just cannot imagine a world in the future where we still are searching for things, we're doing data entry, and I think everybody has to adapt to this reality. This reality may be sooner than we expect in this world.

00:22:37 Speaker_02
So, just sort of piggybacking on what this really means, you know, what this really means in terms of these interactions and these automations moving, becoming more intelligent, and things going from sort of search focus to prop focus.

00:22:50 Speaker_01
Oh, exactly. And I mean, yeah, of course, there's going to be some growing pains here.

00:22:54 Speaker_01
But, you know, I think about even the phone book, for example, right, you know, because we talk about, oh, well, now it's just expected that you're going to go to a website.

00:23:01 Speaker_01
You can find information about store hours or different locations or I'm Googling, I don't know, pizza restaurants nearby. I'm on vacation. Well, I mean, if I gave a phone book to my children, I don't even think they would know how to use it.

00:23:16 Speaker_01
I don't even think they would know how to use it because they don't know. It's like, oh, in alphabetical order. Oh, and people put like their name in a phone book, you know, like, yeah. That's just because that's not what they use anymore, right?

00:23:27 Speaker_01
It's so ingrained in them to say, oh, I'm just going to go to the internet to look for this, or I go to my phone to do that. Same thing is going to happen with this AI-enabled vision of the future.

00:23:39 Speaker_01
And for organizations that aren't moving forward, they are going to be left behind. Yes, again, there's that growing pain era

00:23:47 Speaker_01
So, okay, fine, some people still put their name in the phone book even today, but I'm like, how many clients do you really think you're getting from that versus trying to be optimized for search and actually, I don't know, on the internet in the future, what's it going to look like?

00:24:01 Speaker_01
How do you need to move your organization forward to make sure that you aren't left behind?

00:24:06 Speaker_01
And this goes for all organizations, big and small, and we're specifically saying this for some of those, you know, maybe small and medium-sized organizations where they're like, well, I don't really need to invest in this. It's like,

00:24:16 Speaker_01
Maybe not yet, but you have to be thinking about this or you are 100% going to be left behind.

00:24:24 Speaker_02
This is the AI-enabled vision of the future. We are already in the future in this podcast. So those who haven't invested are out of business, right? I do 90% of my business on the yellow pages.

00:24:36 Speaker_02
They'd be like, you guys were out of business five years ago, right? Oh, I named my company in the letter A so we can appear first. It's like, that don't fly no more.

00:24:46 Speaker_02
We're just saying the kids these days that understand yellow pages, they don't know what to do with the phone book. I would say in the future, they're not going to have to do with search. They're going to be like, what the hell is this search crap?

00:24:55 Speaker_02
You actually had to go through pages of information? You had to actually open up Tabs? What the hell is that? Even when I say it, I can't believe how stupid this is. And this is the present.

00:25:07 Speaker_02
I'm actually writing in the future because I'm like looking back at, you know, Ron in 2020 for me, like, I can't believe you are doing that. Why are you not just asking your question like you need an answer? Ask a question, who does a search anymore?

00:25:21 Speaker_02
Yes, exactly. I think you're all with me now because we're all in this future.

00:25:26 Speaker_02
So I want to sort of jump ahead to another idea because most often when people talk about the future of work, they're not necessarily thinking about the interaction between the customer or the citizen or the user or the patient. and the company.

00:25:39 Speaker_02
That's actually what we were just talking about, what the experience is like when you're trying to get something done. But what does this mean for the workforce?

00:25:48 Speaker_02
And I think the biggest thing that we can say here, and we've had a lot of these questions, is that you should make an assumption. There's a common saying here. It's no longer unique now to say, well, your job won't be replaced by AI.

00:25:59 Speaker_02
It'll be replaced by someone who knows AI. Everybody is saying that. If you're saying that, you're saying what everybody is saying right now. If you're not saying it, you should start saying it so you can sound like everybody else.

00:26:09 Speaker_02
But that's not that unique. I think the bigger thing is that in the future, right?

00:26:14 Speaker_02
Right now, you assume that everybody who comes to your organization knows email, knows how to use cloud-based stuff, knows how to use SaaS tools, knows how to do word processing. You don't teach them that.

00:26:26 Speaker_02
You're going to be like, let me teach you how to do email. Now people are doing the AI teaching, right? But in the future,

00:26:33 Speaker_02
Everybody who's coming in is going to have not only the knowledge of how to use AI, but they will be using it every day for everything, just like you're using your phone for everything. You're going to be using your AI for everything.

00:26:44 Speaker_02
That means that, what does the employee look like in the future? There are a couple of thoughts here you may not have thought about. First of all, definitely we're going to see significant changes to basically the makeup of most organizations.

00:27:01 Speaker_02
Right now, especially like the knowledge and service sectors, most of the people spend their time in the back office, pushing paper, pushing processes. As we just told you, That is all hopefully going away in the AI-enabled vision of the future.

00:27:14 Speaker_02
So, if that's your job, you've got a problem. So, you need to focus on a different job.

00:27:19 Speaker_02
As we say, organizations burn so much time, resources, and energy working against their own organizational friction that, as AI systems ideally remove that friction, the people whose jobs it is to either be that friction or get around the friction are going to be in trouble.

00:27:38 Speaker_02
Right now what organizations are doing in the year 2024, what companies are doing is they're realizing that. They're saying, oh, now we have AI, I can just get rid of all these jobs. And so the knee-jerk reaction right now is just get rid of the jobs.

00:27:50 Speaker_02
But actually, in the future, that's going to have looked really stupid. The reason why is because we're like, AI is not a job eliminator. If you want to think of it that way, this is something new you guys are going to hear.

00:28:03 Speaker_02
It is a workforce job multiplier, as in it makes the individual much more superpowered. Because every individual now has value that's probably like 100 in the future, and they enable vision in the future, their productivity is off the scales.

00:28:23 Speaker_02
Because if you ask them to do something, if they can't do it themselves, they will have an AI assistant that can do it in minutes or less, and can do it with the level of quality that's to be expected. It won't be like, you know,

00:28:40 Speaker_02
exemplary, but it'll be what you need, right? You don't need exemplary data entry. It's like you just need data entry, right?

00:28:45 Speaker_02
So, like, you know, for most people, that's what... So, basically, every human with this AI superpower becomes incredibly valuable, right?

00:28:57 Speaker_02
And the organizations that have not leveraged AI-superpowered people basically will be out of business because their competition will have AI super-powered people.

00:29:07 Speaker_02
So it's kind of a weird way of saying this, but the biggest thought here is that people become much more self-empowered with AI.

00:29:16 Speaker_02
Whereas before, it's a little bit of a rant here, but before monologue, I should say, before it was the organizations who had all the IT, they had all the technology, they're the ones who can invest in databases, they're the ones who can invest in IT systems.

00:29:31 Speaker_02
And all you had as an individual, probably the most advanced thing you had was your phone and maybe your laptop. And then some of the tools that you could use, like, you know, the Google stuff and all this other stuff.

00:29:42 Speaker_02
Yeah, that's what you could do as an individual. But in the future, when everybody has these amazing AI systems, you can do anything. I mean, even right now, it's like, if I want to do some complicated task, I can just ask and it'll be done.

00:29:58 Speaker_02
the corporate IT will be a dinosaur compared to what people have with their own capability. And I think that our biggest thought is that we actually move away. The big concern was like AI means mass unemployment. I don't think that's true.

00:30:16 Speaker_02
I think in the short term, people are making short-term, short-sighted decisions. But in the AI-enabled vision of the future, we are going to see mass self-employment. People are going to be personally empowered

00:30:28 Speaker_02
to do whatever it is that they want to do. And that's going to be the biggest challenge, right? It's like, it's not, can you do it? The question is, well, what do you want to do? And that'll, yeah.

00:30:39 Speaker_01
So now it's, you know, those self-employed people are in the minority, but in the future, they will be the majority. And working at a large organization is actually going to be the minority. And how is this going to change the way that we have

00:30:58 Speaker_01
business hours and this idea of, you know, working that nine to five job. I know people are already starting to resist that, but we don't need to do that anymore, right?

00:31:06 Speaker_01
I don't need to clock in at nine o'clock in the morning and leave at five o'clock in the morning when I can be just as productive working two or three hours a day with my little AI assistant next to me to help make me productive and to work in the background.

00:31:19 Speaker_01
So, you know, it really is going to change everything. That's why this is, so stay tuned as we continue in our series.

00:31:27 Speaker_01
But we wanted to really have a thought-provoking conversation today about what the AI-enabled future workforce and future organization is going to look like.

00:31:36 Speaker_01
So as I mentioned, this is part of our series, so if you haven't done so already, subscribe to AI Today so you can get notified of all of our upcoming episodes. And we're going to be digging into additional topics.

00:31:47 Speaker_01
And for our next podcast, we're going to be talking about that autonomous and augmented everything. We also have a companion LinkedIn newsletter, and I encourage you to subscribe to that if you haven't done so already, where we talk about

00:32:01 Speaker_01
some of the topics on our podcast and other complimentary topics as well. So I'll link to that in the show notes if you haven't subscribed. And we would love to also hear from our listeners as always.

00:32:10 Speaker_01
I know many of you always, you know, reach out to us, let us know what episodes you like, let us know additional topics that you'd like us to talk about. So if you haven't done so already, reach out to us, we're available on LinkedIn.

00:32:21 Speaker_01
You can also go to Cognitica.com or email us at info at Cognitica.com. Like this episode and want to hear more? With hundreds of episodes and over 3 million downloads, check out more AI Today podcasts at aitoday.live.

00:32:35 Speaker_01
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00:32:48 Speaker_01
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00:33:00 Speaker_01
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