Top5 Predictions for 2024 AI Recruiting

Currently, 63% of companies are investing or have plans to invest in AI solutions for talent acquisition problems.* As a response to this, Sean Wood, Founder of Human Pilots AI shares his Top5 Predictions for 2024 AI Recruiting with Tara Thurber.

Together, they discuss AI's endless possibilities and inherent biases and the proper way to utilize ChatGPT for resume writing/editing.

*Human Pilots AI is a company that assists businesses in adopting AI and uncovering its benefits while avoiding its inherent risks. Learn more: https://humanpilots.ai/

Top5 Predictions for 2024 AI Recruiting

1. *It’s going to be tough, but we can get through it!*
2. Exponential Worldwide Change
3. Explosion of Human Creativity
4. Self-Reflection on Unique Human Qualities
5. Human-centered Future

Sean Wood Bio

Sean is a change agent for human-centered AI and Founder of Human Pilots AI. He helps leaders navigate the risks and rewards of Generative AI as a senior advisor.  His career focuses on creating new business practices, products and organizational transformation. As a Design leader at IBM, Sean piloted the AI intelligent experience strategy and Executive adoption of AI for customer experience.

*https://hrexecutive.com/4-trends-every-ta-leader-needs-to-know-about-today/

Transcript

Sean Wood: 0:00

Hey everyone, welcome back to Top5 brought to you by DefinedTalent. We are a results driven service working with clients to connect them with quality talent as well as working to make an impact within the recruiting industry. We talk straight about today's professional world with real world professionals, experts in recruitment, job seekers and business owners alike. Have questions for us, send it in and you might spur our next conversation. I'm Tara Thurber, Co-founder and Director of Talent Partnerships here at DefineTalent. And joining me today is Sean Wood, Founder of Human Pilots AI. Hey, Sean, how are you today? Good morning, Tara. How are you?

Tara Thurber: 0:40

I'm doing well. I'm very excited to be seeing and speaking with you on this lovely day. So I just want to jump right in here. Why don't we kick this off with telling our audience a little bit about yourself?

Sean Wood: 0:53

Excellent. Thank you for having me. It's always good to see you. And I appreciate the conversation. So my name is Sean Wood. I live in Atlanta, Georgia, where I have been in digital technology and business and design for the past 20 years or so, working with global brands and emerging businesses to help them create the next big thing in digital. And so that brings us to where we are today. But more about myself. Married, two kids, that is my primary purpose. That's why I do all this stuff.

Tara Thurber: 1:29

(laughs)

Sean Wood: 1:29

And that's really why I'm so passionate about making sure that we're doing the right things with artificial intelligence. I mean, first and foremost, I want to make sure that we're having an impact and that we're leaving a better world for our children.

Tara Thurber: 1:43

Awesome. I love that. So can you explain generative AI for our listeners? And how is this technology different from other forms of AI?

Sean Wood: 1:55

Yeah, absolutely. I've been working with artificial intelligence, machine learning, big data for about the past 10 years. And we have to remember that AI started in the 50s. It's been around for generations.

Tara Thurber: 2:11

Right.

Sean Wood: 2:11

And so the the initial work that I started

Tara Thurber: 2:13

Right.

Sean Wood: 2:14

Once it was released to the public, that's when this doing was in what I'll call, we can call it traditional AI or analytic AI. That was absolutely with using a lot of data just like generative AI does. But it was being used to make decisions and predictions. And so like, when you're online, it gives you prediction for other things you might like to buy, you know, you're using it for wayfinding with a mobile app. It solves specific tasks, and it has predefined rules. This all changed last year, when Open AI released their large language model. And that is what is the foundation for generative AI. This has been in the works for years. But it's mainly been at large tech companies kind of behind the guarded walls. whole thing blew up. And with generative AI, it uses unsupervised learning. And it takes all of the data and it makes decisions to create new content, new video, new data, it is creating such complex writing, and it's giving people a real visceral reaction of oh my gosh, I thought only people could do this.

Tara Thurber: 3:38

(laughs)

Sean Wood: 3:38

We used to have to talk to the machines and the other machines are talking back to us.

Tara Thurber: 3:42

Yeah.

Sean Wood: 3:42

We used to have to learn how to code so we could input to machines. Now we're just using the foundation of all humankind, which is just the spoken word, we can just use our language. You know, this is how traditions have been passed on this is how brands have been built, countries have been rallied around an idea that's been shared through language. This is the foundation of our world. And so now that it's in the computer world, in this artificial intelligence world, there's something that's kind of unsettling, but also very exciting. So we're at that cusp of this sounds really awesome, but it's also very scary.

Tara Thurber: 4:18

Yes (laughs). And I hear that in a lot of people I hear the double where it's exciting, it's new, there's so much that we can do but then there's so much fear that's behind it. And worry and it's interesting to me when I get to talk to people about it, and it comes up in every conversation where there is that excitement, but then there's also that that fear base component. So what inspired you to create a Human Pilots AI?

Sean Wood: 4:54

Yeah, so a lot of my work over the years has been in digital transformation.

Tara Thurber: 4:59

Right.

Sean Wood: 4:59

I mentioned I'm kind of brought in as a change agent to come in and help introduce a new technology. The way that these things happen, the majority of them don't go the way that the leadership intends they spend a lot of money to implement new technology and somewhere between 75 to 80% of these digital transformations fail to meet their goals.

Tara Thurber: 5:24

Yeah, right.

Sean Wood: 5:24

So companies are going into these digital transformations, and they're wasting their money. And what happens, the secret that I found, or the pattern that I've seen is that and this is repeated over time. And this is not just my experience, but this is shared throughout tons of research and other expert input, what happens is that the intent is good, we're going to bring in a new technology, and that's going to change the way things work, it's going to change the way our business makes money.

Tara Thurber: 5:55

Mmm hmm.

Sean Wood: 5:57

Companies spend a lot of money on the technology, they don't spend a lot on the adoption. So the people part is the biggest missing component, they spend the money on the machines, they don't spend the money on the people. So working in design, my background is in user experience design and customer experience design.

Tara Thurber: 6:15

Right.

Sean Wood: 6:16

We've always focused on human centered design. And that's always been the that's always what I've seen going into these large companies. We introduced that and we rally the tech teams, the business teams, the operation teams, even legal around what did the human needs? And then how do we start to share Oh, these are the our customers, we're all going to solve, you know, we once we can understand them. And we accept that we are not the customer, that we're not making decisions of what we think is best, but we're doing what is in service of their needs.

Tara Thurber: 6:46

Right.

Sean Wood: 6:47

That changes the way things work. So this is the perfect storm from my background. I've had a little bit of a scattered background of digital transformation, design, a lot of heavy strategy and advising on the leadership level. And what I see is that the missing gap from all these digital transformations is focusing on the people to help create the change. And the change here that we're all going through this moment in time. This is the most important thing that's happening in AI, because we're all going through this shift together. And it's like two tectonic plates are just rubbing against each other. It's a very strange, tense time, we all feel it in our bones. But as we're going through it, we can't just look the other way and say, here's the tech - go do it. Now we have to bring people along. And what I've been able to create with Human Pilots API is that we can help introduce it in small bites, it's all about the pilot, the pilot has a double meaning the pilot is a small little program you introduce, the pilot is someone that's in charge of the steering the ship, so the human pilot is out. It's human- first, it's a human centered company. But we're AI native, so we're not a.com company, you know, we're Humanpilots.ai We are the new dot we're leaning into the AI era, we're embedding it in everything that we do, we have seen amazing results, we are eating our own ice cream. By using it ourself. Dogfood sounds kind of gross so I went with ice

Tara Thurber: 8:18

(laughs) cream. But we're using it ourselves. And we have AI transcripts and all of our meetings we're taking notes we Wow, I get goosebumps when we kind of talk have so many AI interns working for us right now. They're very inexpensive, and they're very productive. But what we do is we use our senior expertise to help apply the innovation practices, the product methodologies that we've been building, to help leaders create really significant results. And so we're going into an exponential era for AI. And Human Pilots is set up as a consulting advising practice to help companies navigate the risk that it brings, and also rewards that they can accomplish. about all of this. How can AI be human-first?

Sean Wood: 9:15

So, artificial intelligence is a simulation of human thinking. It's built the same way.

Tara Thurber: 9:20

Right.

Sean Wood: 9:21

We take things in through our observations, our senses, our hearing, our sight, even other things that we don't pick up immediately. I mean, we've taken all this data, we process it, we think about it, and then we make a decision or we respond and we create an action and that's the same way that AI has been set up with machine learning is to, you know, feed it the data.

Tara Thurber: 9:41

Right.

Sean Wood: 9:43

And you wrangle it and you create, you know, the initial stages, and then you work it to the machine learning phases, and then you ultimately create the decision. And so it's meant to mimic humanity. And so the fear about AI is that it is a reflection of ourselves. The mirror that it puts in front of us is the scariest part because we can't all agree on what is ethics? What is responsible? What is right. You know, humans fight.

Tara Thurber: 10:11

Yup. yup.

Sean Wood: 10:11

Humans don't agree. Humans are beautiful, but they're also messy.

Tara Thurber: 10:15

Yup. I mean, just the idea of the mirror being put up in front of us. I mean, that is scary in itself as a human. So, you know, the messiness. And the beautiful aspect is, it's true to form. So it's just so exciting, Sean. Absolutely. So exciting. And, and thinking about where you're at now, and then looking like jumping into 2024. And looking at 2024 trends. I mean, right now, we've seen stats that say 63% of companies are currently investing or have plans to invest in AI solutions. Now, I'm going to be a little selfish, but let's talk about talent acquisition problems. In jumping into 2024 trends, and just being a little selfish here. You know, we've seen stats that say 63% of companies are currently investing or having plans to invest in AI solutions for talent acquisition problems. In your opinion, what problems do you think AI can solve?

Sean Wood: 11:34

That's great. Right. I'm working with, I've seen the same number that 63% of CEOs and executives are discussing generative AI, their board meetings.

Tara Thurber: 11:42

Right.

Sean Wood: 11:43

This goes all the way to the top, where these companies are currently experimenting with their new AI capabilities. That's where my company comes in about half the companies are starting to experiment. 10% are doing nothing. You know, we hear about a lot of companies where they say this is a little scary and risky. And we have, we're very risk adverse, we're not comfortable yet. So they're going to wait, those companies are going to be left behind, and I'm not really focused on them as much. In terms of where do I see it working for recruiting? It's going to be a wild ride. The needs of the company are going to change so much. And we've already seen it happen this year.

Tara Thurber: 12:23

Yeah.

Sean Wood: 12:23

So here are my predictions on that - I'm going to go in and say, companies are going to create new roles.

Tara Thurber: 12:33

Yeah.

Sean Wood: 12:34

It's not the jobs. It's not that AI is going to take jobs, it's just going to take task, and we're going to automate some things, some parts of the jobs. My hope, and my direction from my executives that I work with, is that we're going to augment the workforce, we're going to help accelerate your team.

Tara Thurber: 12:51

Yep.

Sean Wood: 12:52

Think about if you have 100 employees right now, what if you had 1000? You know, what, if you amplify them to now you have 1000 employees creating value for your company. I mean, there's so much exponential productivity that can come out of this. But we have to invest in our people. Because they're the ones that are going to help the companies navigate these changes. It's not a top down control thing where we're going to say, you have to do it this way, because, unfortunately, for executives, their employees are already using it. Right?

Tara Thurber: 13:31

Right (laughs).

Sean Wood: 13:31

It's just it's not a question of do I use it? It's a do I tell my boss that I'm using it?

Tara Thurber: 13:36

That I'm using it!(laughs)

Sean Wood: 13:38

They're already doing it to some degree. Right now, as review season, people are having to write their summaries of their reports, if they're a director, manager, if you're an employee, you have to write your review. It's lot easier just to talk to your chat GPT on your phone, and have it summarize it to make it sound smart for your boss or for your employee or to for HR department, make sure there's nothing in there that's funny.

Tara Thurber: 14:00

(laughs)

Sean Wood: 14:01

So people are already using it. Going back to your question about recruiting, it's going to help the recruiters find who's good and who's not. But it's, again, there's a positive and a negative.

Tara Thurber: 14:13

Right.

Sean Wood: 14:13

Like any new tool, it's a hammer, it can build a house or it can you know, hurt someone.

Tara Thurber: 14:18

Yeah.

Sean Wood: 14:21

It's going to help recruiting, find people faster. But it's also going to be a little difficult because people are going to be using more of this and sounding more anonymous. I'm not in your world. But I've heard from some people that are interviewing and hiring and building their AI teams, that when they ask their candidates a question, they can see the candidates typing or reading it into their screens, and then reading it back what ChatGPT gives it to answer the question.

Tara Thurber: 14:50

(laughs)

Sean Wood: 14:50

There's going to be some funny there's going to be new challenges to navigate. And that's what this is all about. This piloting exercise is all about how do we navigate these new things? These new behaviors that are going to emerge as people are starting to use this- we're in these kind of toddler kind of awkward adolescence.

Tara Thurber: 15:09

Yeah (laughs).

Sean Wood: 15:09

You know like we just started middle school, like, we're gonna go through a little awkward phase of how people are going to use it, it's not going to be smooth, you know, we're So true, and it's a crazy world, when it comes down to AI and just a little funny right now. So I think some candidates are going to try really hard and use it, some are gonna be really smooth. And I think that the candidates that can use it really well, it should be celebrated, because they have something to offer. If they're able to integrate it into their candidates are using AI and I feel that because they don't interview process, into their application process in the hiring process, as a candidate, that's gonna be amazing, if the recruiters can use it to help respond better to those candidates, if the companies can help improve their employee experience. So that from the beginning, the new hire feels connected to the company feels a growing sense of loyalty and know, some of them know what they're doing and know how to trust for the company, that's all established in this beginning phases of that employee relationship, if it's clunky, or if they go silent. That'll also leave a impression on the candidate. And so that candidate experience is going to become more important. Totally. utilize it. But some of them have no idea what they're doing.

Tara Thurber: 16:21

It's going to add to the experience, it's going to And I've seen the best of both worlds. And being in in this space, too. A lot of talk outside of this was, oh AI is help us all whether it's the client, the recruiter, the candidate, to kind of step up a little bit, and enhance the overall end goal. Right? But I think a lot of candidates don't going to replace recruiters, but it won't, I think the best thing know. We know opening ChatGPT and asking it to write a resume for us. I mean, it's a quick way, but it's not the proper way to make it a personalized portfolio or make it a personalized description of who you really are as a human. So, in your eyes, when looking at AI and looking at this experience about it is it's going to enhance an experience, right? as a whole, what would you say is the proper way? Or is there even a proper way? I mean, I feel like there's no rules at this point, right? There's no rules, it's just it's an open, it's just go.

Sean Wood: 18:05

It's so open.

Tara Thurber: 18:07

(laughs)

Sean Wood: 18:08

And the rules are changing. And that's what we're seeing. And that's what we're all navigating together. And it's kind of this awkward, you know, teens at the high school dance, kind of stepping on each other's feet, and we're trying to figure out how to do it, we want to look cool, right?

Tara Thurber: 18:22

Right.

Sean Wood: 18:22

But we're a little awkward. So how does the dance work? I mean, what I see - if candidates are using, let's say, ChatGPT as their their tool of choice, if they're using that as is, it's all going to sound the same. It's going to be homogenous. It's gonna be bland, and they're not going to stand

Tara Thurber: 18:42

Yeah. out in the field of applicants. Good point.

Sean Wood: 18:47

When they add their human sprinkle on top their cherry, the thing that makes them special, it's that uniquely human capability that sets us apart from the machines. And so when you're able to insert some of your creativity, your personality, that Je ne sais quoi that makes you stand out.

Tara Thurber: 19:08

Yeah (laughs).

Sean Wood: 19:10

I don't speak French, I don't know if I said it right.

Tara Thurber: 19:12

(laughs)

Sean Wood: 19:12

But if you can add the something that makes you stand out, that's where it connects with the interviewer, the hiring manager. And that's where they remember you. It's in this story that you present. It's not just in the data you provide, or if it's a creative resume portfolio, and just the the screenshots or the design images you show them.

Tara Thurber: 19:39

Right. Right.

Sean Wood: 19:39

It's in the story about what was the problem to What were the nuances that makes this really unique? solve? What was the business going through? Who were the people involved, the customers, the employees, what were the dynamics? What were the nuances that ChatGPT can't understand necessarily? And so what is that unique piece and dig into that? I think that is where we're going to find people stand out.

Tara Thurber: 20:03

Yep.

Sean Wood: 20:05

I can also see that for recruiting when everybody does start to sound and look alike, how are they going to find them? I think candidates that build their brands online that are using their time to do a little self promotion are going to see some more results. And that's a tricky thing for hiring managers, because do you want somebody that's doing great work? Or do you want somebody that's great at self promotion? There's a there's a balance there. And I think that's what we're finding, in a lot of this is where's the balance between are you too human, but you're sloppy, and you have typos? Or are you too much on the the it sounds pretty good, but you might be hallucinating? Like it might be making some stuff up? And I don't really trust you.

Tara Thurber: 20:49

(laughs)

Sean Wood: 20:50

Because when you're using the generative AI, you have to have a healthy amount of skepticism of, is this, right?

Tara Thurber: 20:58

Right.

Sean Wood: 20:59

Is this true? And so there's a balance of what makes it feel right. And so I think as candidates are going through the process to write the letters, to create any of the communication touch points make sure it sounds a little unique, make sure it sounds like yourself. Yeah. And be okay with that, I think the more that people, I think you might share this idea with the more people can bring themselves into a job, into a conversation, the better off they're going to be, because the company knows who they're getting. And you can always be that most authentic version of yourself.

Tara Thurber: 21:38

I love that, Sean and listening in my mind, it's, That's such a big question but. you have to add that human aspect to it no matter what. And it, I think, utilizing ChatGPT and AI is for companies, for recruiters for candidates it's not just in air quotes, the easy way out, right? It can be, but then you're not going to stand out, you as a human, and your individuality won't be seen, you'll have more of an outline, per se, or an outline of you to present or to give to a client or a company or a candidate. But if you don't add that human touch in, then you will fall by the wayside. Or it could be in retrospect, it can turn out to be untrue. If somebody really gets to know you, it's lifting that veil that ChatGPT resume up a little bit and looking under the hood and being like, Oh, they're not really who they said they were or they didn't really understand the project they were on or there wasn't, by missing that special piece, I think it will all end up coming out. Right? And, and I know in the recruiting industry, there was a lot of worry. Listen automating is please, I would love to automate a majority of the tasks that we're doing, but I still firmly believe that going back in and adding in that specialized touch that human approach to it, so that the receiver will feel that instead of it just be getting a resume that's going to hit all the specific words. And I kind of think coming back to our questions here to looking at DefinedTalent is we're dedicated as a team to offer this fully inclusive, diverse experience for our clients and our candidates. Right? And some(laughs) articles we've seen say that AI is going to remove the bias from the recruiting process. But people are arguing that AI is bias and has been testing the different forms and they've been testing the different forms of technology to prove it. So now

Sean Wood: 24:16

It's one of my main motivators is I want to get this coming full circle back to the before question, you know, what are what are your thoughts on that at this point? right. I want to make sure that anything that I can control from my side is doing what's right and responsible for my my clients, my team.

Tara Thurber: 24:50

Yeah.

Sean Wood: 24:50

And for the greater the world I mean, we have a bigger value to add besides just shareholder money value, there's, what is the impact to the rest of our world that absolutely that we're leaving. So how do we design a better world? We have to think about the data that's going in, and how do we help to remove some of the biases that are there, because I said, this is a mirror of ourselves. All of the algorithms that are in there have been built by this specific type of person. And there's a few people that have been creating this. And it's been vacuuming with generative AI, it's been vacuuming up information from the Internet, which is filled with garbage.

Tara Thurber: 25:32

(laughs)

Sean Wood: 25:33

And so you have to think, oh, that's where it learned how to write.

Tara Thurber: 25:36

Right (laughs).

Sean Wood: 25:37

That's where it learned how to think. Well, that could get a little sleazy. But it's also, I mean, you've read this cooking recipes, it's Thanksgiving season, and you have to scroll past so much. So the idea of diversity, I'm 100% agree. We've seen that time and time again, that, you know, businesses create better value, they make better decisions, when there's a range of thoughts and people with, you know, different representation of backgrounds and viewpoints, that has to be included, the bias that's in the system now, has to be replaced. And so as we go through, and we're working in building new systems, we can retrain some of the data. And that's my hope, and ambition is to work with the datasets that we have to start to remove some of the biases that exists, because it's clear, I mean, we've seen it with the way that you will prompt and get an image of a doctor or an image of a teacher, they're going to look different.

Tara Thurber: 26:40

Yeah.

Sean Wood: 26:42

And so we have to change what that means, and make sure that people are represented appropriately. And that's going through - That's the focus that I and other others take with, we want to make sure that AI is responsible, and it's trustworthy.

Tara Thurber: 26:57

Yeah.

Sean Wood: 26:57

And that it's safe.

Tara Thurber: 27:00

So true. And I love that. I love all of this. And I mean, I'm inspired by what you're doing, and so excited to learn so much more about what Human Pilot AI is doing. And just to be able to chat with you. I mean, talking about 2024, it's, it's the future, right? I like to always try and be present, and be in the now and not dwell on the past, not worry about the future. But the now is happening so fast, that when you think of the now it's already in the future. And so when we're thinking about recruiting in 2024. And just life in 2024, I think it's going to be a major change. Let's I have to say, let's jump into what your Top5 2024 Predictions for AI Recruiting might be.

Sean Wood: 27:59

Alright, Top5 predictions for 2024. This is not far away, this is around the corner, we'll sneeze and wake up and it'll be a new year. So here we go. Prediction number one, it's

Tara Thurber: 28:08

(laughs) going to be tough. Yeah.

Sean Wood: 28:14

It's not going to be easy. We're not going to have somebody hand it to us on a silver platter, we all have to figure this out for ourselves, for our companies and for our families. Absolutely. And so it's going to be tough, but we have to do it. And we have to go in with the right mindset, which is that we can get through this, we can do tough things. So we're gonna get through it. But number one prediction is that it is gonna be tough.

Tara Thurber: 28:37

Yeah.

Sean Wood: 28:38

Number two prediction is that AI is going to change our world in exponential ways. What we've seen happen this year has been an explosion, we will remember 2023 as the year that AI changed everything.

Tara Thurber: 28:50

Yeah.

Sean Wood: 28:50

And it's because it is the the curve of growth is happening. So, so fast, the word exponential, is something I use often because it's true, what we're seeing is significant. And we're gonna see massive, massive change. And you this year has seen different rates of acceptance by people - is this a real thing, should we wait and see, but it's going on the train is moving, it's already left the station. And you can get on board when you're ready, but it's moving fast. It's been very, very fast, and it's gonna accelerate. So number two is that changes can accelerate exponentially.

Tara Thurber: 29:34

Yup.

Sean Wood: 29:34

Number three, this is the one I'm excited about. There's going to be an explosion of human creativity. And this is the fun part. When we think about starting a first draft of an email, writing a letter, writing something, creating a video image. There's so much more you can do now. And so your first idea of a letter may not be your best. In fact, it's usually not. But that second or third is where you get the good stuff. So, work with your generative AI tools, create that first image, you don't have to be an artist anymore, just say the words that you want to create. And it'll help you build a whole new world that's in your mind. And then build on top of that, take it a step further. So an explosion of creativity in the way that we start to build things, the way that we start to share things and the way that we communicate and work with each other. So I'm really excited about how even people that have had the creativity kind of trained out of them, we're all born with creativity. But this is going to reignite a lot of that creativity that we had. And that's exciting for me. Number four, I believe that our unique human qualities are going to be the differentiator.

Tara Thurber: 30:51

I just got goosebumps.

Sean Wood: 30:55

So what is it that makes us uniquely human? You know for so long, we've been trying to figure out how do we fit numbers into the spreadsheet? How do we - we focus so much on trying to put things in a box? How do we take a step back and say, what really matters? Like if the machines can do that for us? What's our purpose? What's our value, and let's dig into what that means. And so there's going to be a lot of self reflection, individually, at the company level, at the social level of what does this mean? But celebrating those things that make us so unique, the value that we bring the the connections we make with each other, that's going to be something too it's going to be very valuable, and we're going to start to recognize that in ourselves and in each other.

Tara Thurber: 31:41

I love that, too. Love that.

Sean Wood: 31:46

Number five prediction for 2024. I'm going to see more human centered. And so human centered is a big part of my whole my company, my view of the world.

Tara Thurber: 32:01

Yeah.

Sean Wood: 32:01

And our discussion today. The more that companies and people can focus on what's right in front of them, the better they will be, then that means how can we use the machines to augment and help these people?

Tara Thurber: 32:19

Yeah.

Sean Wood: 32:20

How can we make them better? And so less on automating and making it generic and more on making it interesting, creative. Celebrating that piece, because, as I mentioned earlier in the transformation, there's not a magic AI button. And this is the hard truth that I've had many conversations about, because it would cost less if we didn't have to hire people to do the jobs. If companies didn't have to hire people, maybe it'll be a lot easier. But the reality is, is that's not going to happen.

Tara Thurber: 32:59

Right.

Sean Wood: 33:00

We are living right now. You know, they've been working on automated cars, for 30/40 years.

Tara Thurber: 33:07

Yeah.

Sean Wood: 33:08

We're not seeing those on the highway, they've been working on automatic pilots in planes, you still have to have an expert pilot, we still need people. So the magic AI button is not there, you have to have people sitting beside them, and you have to invest in them. And so number five, is augmented future, that's the future.

Tara Thurber: 33:26

Sean, I love all five of these. And I'm excited. I've lessened that fear. And I've got the excitement in the forefront of myself and what's ahead of us. And you're right, human centered humans as humans, right? And that's where it needs to be and continue to grow from and use this as a tool to just become better humans more creative. I mean, the creativity, aspect and focus. It's so right. I mean, you're right on it. If you think of something, and you need to start something, but use a tool to help you launch that thought to then take the human aspects and expand on it. To make that difference in the world to make that difference and stand out in who you are. It's all very, very exciting. And I cannot wait to see what 2024 brings.

Sean Wood: 34:36

Me too. Tara, thank you so much. It's been wonderful to talk to you today.

Tara Thurber: 34:39

So wonderful to talk to you, Sean, thank you for joining us today.

Sean Wood: 34:43

You're welcome.

Tara Thurber: 34:45

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