October 16, 2024 • 11 mins
The sources explore the transformative role of artificial intelligence (AI) in various aspects of team management, from recruitment and onboarding to leadership, collaboration, conflict resolution, and decision-making. The podcast provides practical examples and prompts to illustrate how AI tools, particularly ChatGPT, can be leveraged to improve communication, streamline workflows, and enhance team performance. The authors emphasize the importance of ethical considerations and professional responsibility when using AI in team management, advocating for a balanced approach that prioritizes human judgment, empathy, and collaboration.
James Henderson is the founder of Misa.solutions, a veteran-owned company bringing the Socratic Method into modern education through AI-powered tutoring. With a passion for helping K–12 students, homeschoolers, and educators move beyond memorization, he focuses on building curiosity, wisdom, and critical thinking for the next generation of learners.
James Henderson is the founder of Misa.solutions, a veteran-owned company bringing the Socratic Method into modern education through AI-powered tutoring. With a passion for helping K–12 students, homeschoolers, and educators move beyond memorization, he focuses on building curiosity, wisdom, and critical thinking for the next generation of learners.
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Transcript
Episode Transcript
Available transcripts are automatically generated. Complete accuracy is not guaranteed.
Speaker 1 (00:00):
Okay, so ready to dive into this AI and team's thing.
Speaker 2 (00:04):
Absolutely, let's do it.
Speaker 1 (00:05):
You know, I always thought AI in the workplace was like,
you know, automating tasks, making the coffee.
Speaker 2 (00:10):
Right, the robot take over exactly.
Speaker 1 (00:13):
But this chapter, this chapter has me thinking, like, it's
not just about working faster, it's like working smarter together.
Speaker 3 (00:20):
Yeah, it's about amplifying our human capabilities, right, Like how
can AI be that extra team member? This chapter goes
through all these ways from like I don't know, recruiting
to even conflict resolution.
Speaker 1 (00:32):
And they kick it off with Walmart. Walmart, Walmart using
AI to negotiate contracts with suppliers.
Speaker 2 (00:38):
Who knew that's wild?
Speaker 1 (00:40):
I mean I would, I would thought people would hate that,
you know, like cold calculating AI versus humans. But it
says that suppliers actually kind of prefer it.
Speaker 3 (00:48):
Yeah, they well, because it takes out, you know, some
of the emotional roadblocks that humans bring to the table. Right.
Speaker 2 (00:55):
So this system, it's called Pactum, It.
Speaker 3 (00:57):
Analyzes tons of historical data to try to find the
best solution that works for both sides.
Speaker 1 (01:02):
So instead of like two people going back and forth
getting frustrated, the AI is just like looking at the
data trying to find a deal exactly. That's really cool. Okay,
but back up a little bit. Yeah, what does this
look like at the very beginning, Like building a team, hiring, onboarding,
all that.
Speaker 2 (01:18):
So imagine, okay, you're a hiring manager.
Speaker 3 (01:21):
Yep, you've got a stack of resumes, this high, the worst,
the worst. AI can go through those applications so fast,
like way faster than a human and pinpoint the people
with the right skills, the right experience.
Speaker 1 (01:35):
All of that like having a superpower. But what about
that gut feeling you get though? Can AI do that?
Speaker 3 (01:41):
So it's not really about replicating that gut feeling, but
more like uncovering things that.
Speaker 2 (01:46):
Maybe we would miss. So like think about it.
Speaker 3 (01:49):
AI can look at someone's digital footprint, right, like their
online presence and kind of get a sense of their style.
Speaker 2 (01:55):
Their values. Oh that's interesting, Yeah, like even their cultural fit.
Speaker 1 (01:59):
Wow.
Speaker 3 (01:59):
And you know, it could even help build more diverse
and inclusive teams. That's a good point because it's focusing
on the skills and not just you know, exact Yeah.
Speaker 1 (02:08):
Well, and this chapter also talking about how AI can
be used to actually create a personalized onboarding experience. So
instead of just like here's your stack of paperwork, good.
Speaker 3 (02:18):
Luck, right exactly, imagine AI system welcomes the new team member, right,
and it's got this whole personalized onboarding plan based on
their role, their learning style.
Speaker 1 (02:30):
That would have been amazing at my last job, right, Like, seriously,
it would saved me so much time. In fact, there's
this example in here about this woman Lisa starting a
new job global health project. Okay, yeah, and her onboarding
is totally customized. So the AI is giving her role
specific info, adapting like you said, to how she learns best,
even scheduling her intro meetings.
Speaker 2 (02:52):
It's about making people feel valued right from day one.
Speaker 1 (02:55):
Okay, see that again, would have loved That would have
saved me from so many awkward coffee dates trying to
figure out like who's who.
Speaker 3 (03:01):
And think about it from the company's perspective, You've got
a more engaged employee who's ready to go faster.
Speaker 1 (03:06):
Win win. Okay. This is already blowing my mind and
we haven't even gotten to AI enhanced leadership. I'm guessing
this is more than just like you know, those automated
email reminders.
Speaker 3 (03:16):
Way more Okay, think of AI as like a leadership coach,
helping leaders refine their vision, communicate better, even motivate their teams.
Speaker 1 (03:25):
So let's about barking orders, more about inspiring action exactly.
I like it. How does that even work though? Does
it write motivational speeches or something?
Speaker 2 (03:34):
It's more subtle than that.
Speaker 3 (03:35):
So they use this example of that global health project
again okay, and the project manager uses AI to like
break down this big hairy mission statement into these clear
goals for each team, right okay, And they can see, oh,
this is how my individual tasks actually play into.
Speaker 2 (03:52):
The big picture, showing them the why, the why. It's
all about the why.
Speaker 1 (03:55):
I love that.
Speaker 3 (03:55):
And it gets even more interesting. AI can take data
from team surveys, performance reviews, even like just their communication patterns.
Speaker 2 (04:05):
And it can figure out, like what makes each person tick.
Speaker 3 (04:08):
What motivates them, what are their strengths, how do they
respond best to feedback?
Speaker 1 (04:13):
So instead of like a one size fits all approach
to leadership, right, you can tailor your style for each person.
Speaker 3 (04:20):
It's personalized leadership, Yeah, driven by data.
Speaker 1 (04:23):
That's incredible.
Speaker 3 (04:24):
And this chapter even argues that AI can actually help
leaders improve their emotional intelligence.
Speaker 1 (04:30):
Hold on, really, yeah, like is AI going to start
writing poetry and giving out hugs.
Speaker 3 (04:36):
Not quite poetry and hugs, because I don't know if
I'm ready for that, not yet. But it can analyze
those communication patterns, like even pick up on emotional undertones
in emails.
Speaker 1 (04:47):
It out. It can tell yeah.
Speaker 3 (04:49):
Like if somebody's feeling overwhelmed, or if there's like some
conflict brewings.
Speaker 1 (04:52):
So it's like an early warning system exactly.
Speaker 2 (04:55):
Or like team drama, team dynamics.
Speaker 1 (04:57):
Oh man, you know now that we're talking about it.
One thing I always struggle with is like collaboration, especially
when you've got people from different departments on a project.
Oh yeah, it's like everyone speaks a different language totally.
Speaker 3 (05:11):
And this chapter they actually talk about how AI can
help like break down those silos. So imagine AI tool
that's like a real time translator for your team.
Speaker 1 (05:22):
Oh my gosh. Yes. Right.
Speaker 3 (05:24):
So let's say a software engineer is like, oh, we
need to refactor the codebase.
Speaker 1 (05:28):
Sounds like gibberish to me.
Speaker 3 (05:30):
Right to marketing, it's like what so AI jumps in
with the quick translation. We're making the website fast or
easier to update.
Speaker 1 (05:40):
Everybody understands they've been helpful in so many meetings I've
been in where I'm like not in along and I
have no idea what anyone's talking.
Speaker 3 (05:47):
About exactly exactly, And it can actually like help prevent
those misunderstandings before they even happen by analyzing those communications,
flagging potential conflicts, you know, even suggesting ways to like
improve how the team talks to each other.
Speaker 1 (06:03):
Okay, so we've got AI helping build teams, onboarding new people,
supporting leaders. Now it's like a communication coach. Is there
anything AI can't do when it comes to this stuff.
Speaker 2 (06:12):
Well, let's not get ahead of ourselves. But this chapter
does go into how AI can be used for conflict resolution,
which I thought was really interesting.
Speaker 1 (06:21):
See that's the one area where I'm like, hmm, I
don't know, because I feel like that needs a human touch,
you know, like empathy, understanding.
Speaker 3 (06:30):
Of course, and the chapter even says it's not about
replacing those human skills, it's about adding more information, you know, support, So, like,
for example, AI can analyze past conflicts, pinpoint what caused
them interesting and even suggests solutions based on like, hey,
this worked in a similar situation.
Speaker 1 (06:49):
So it's like having this like massive library of conflict
resolution exactly best.
Speaker 3 (06:55):
Practices, and it's all data driven, so it can actually
be like a little more objective, right, which can be
good when things are getting a little heated.
Speaker 1 (07:01):
That's true, Yeah, yeah, because sometimes you need that outside
perspective totally.
Speaker 3 (07:05):
And there's this great example in here about a conflict
between a data analysis team and a field research team.
Speaker 1 (07:12):
I can already see where this is going, right, data
versus fieldwork, the classic, that's the classic showdown.
Speaker 3 (07:17):
So the project manager used AI to actually help structure
a meeting to deal with this conflict. Interesting, Okay, So
the AI suggested, like start with a really clear statement
about why collaboration is important.
Speaker 2 (07:30):
Okay, give each team.
Speaker 3 (07:32):
A chance to like say their piece without being interrupted.
Speaker 1 (07:36):
Sometimes just having those ground rules makes all the difference, right, Yeah.
Speaker 3 (07:39):
And then it also suggested they use like data visualization
tools to.
Speaker 2 (07:44):
Help them like find common ground.
Speaker 1 (07:46):
So instead of arguing about whose method is better, they're like,
let's look at what the data says exactly. I like that.
Speaker 3 (07:52):
And this chapter makes the point that like these AI
powered strategies can be helpful, you know, throughout the different
stages of how teams develop. They even like tie it
into Tuckman stages of group development.
Speaker 1 (08:04):
You know, I'm bigly familiar. It's the one where the
team eventually figures out how to work together.
Speaker 3 (08:08):
That's the one, Okay, Forming, storming, norming, performing, right right right?
Speaker 1 (08:13):
So are they saying that AI can play a role
in each of those stages, Yes, exactly. Interesting.
Speaker 3 (08:19):
So like, you know, helping to define roles and responsibilities
in the forming stage, facilitating communication, mediating conflict in the
storming stage, even like analyzing you know, successes and challenges
during the adjourning stage after the project's done.
Speaker 1 (08:35):
It's like having an AI guide on the journey of teamwork.
Speaker 2 (08:38):
I like that.
Speaker 1 (08:39):
That's a good one.
Speaker 2 (08:40):
Copyright though one.
Speaker 1 (08:41):
Okay, But with all this talk about like AI stepping
in and doing all this stuff, what does that mean
for you know, us, the humans? Yeah, the humans. What
happens to the human side of teamwork when you've got
algorithms calling the shots.
Speaker 3 (08:54):
It's a good question, and honestly, a lot of people
are asking it, which is why I like that this
chapter digs into it.
Speaker 1 (08:59):
Yeah.
Speaker 2 (08:59):
And you know, the point is, it's.
Speaker 3 (09:00):
Not AI taking over, it's humans and AI working together,
each kind of playing to their strength.
Speaker 1 (09:08):
So if AI is taking on some of these tasks
that maybe we're not as good at. What does that
make more important for us humans to be focusing on?
Speaker 3 (09:17):
So one thing that immediately comes to mind is empathy. Okay,
AI can analyze data, maybe even like flag an email
as oh this sounds angry, but it can't really understand
what's going on with person.
Speaker 2 (09:29):
You know, you need that human connection.
Speaker 1 (09:31):
You can't send a robot in to like, you know,
give someone a pep talk exactly.
Speaker 2 (09:36):
And then there's creativity like yeah, AI can look at
past data and be like, here's a solution based on that,
but what about those like aha moments right.
Speaker 3 (09:46):
Thinking outside the box that's human totally, and then even
just critical thinking.
Speaker 2 (09:51):
Right.
Speaker 3 (09:51):
So AI can process a ton of information make a recommendation,
but we still need humans to be like, hold on
a second, is this actually a good idea?
Speaker 1 (10:01):
Right? Are we just blindly following the algorithm off a
cliffs Exactly? Interesting.
Speaker 3 (10:05):
AI gives you the data, the insights, but we need
humans to interpret it, ask the.
Speaker 1 (10:10):
Tough questions, and make the judgment calls.
Speaker 3 (10:12):
Exactly.
Speaker 1 (10:13):
It's almost like this whole AI thing is pushing us
to be like even more human. Yeah, you know, like
instead of replacing us. It's like, hey, here're the things
that you're really good at.
Speaker 2 (10:23):
It's highlighting our strength.
Speaker 1 (10:24):
Yeah, our empathy, our creativity, our judgment. I love that.
Speaker 3 (10:29):
It's a good perspective, right, Yeah, and that's really what
this chapter's saying, is like those human qualities. Yeah, that's
what makes teamwork so powerful to begin with.
Speaker 1 (10:38):
I love this conversation. I feel like I need to
go back and reread this chapter now with fresh eyes.
Speaker 3 (10:43):
Right, it's one of those that you're just like highlighting
every page.
Speaker 1 (10:46):
There's something it's so good. Yeah. Well, for our listeners,
if you're ready to dive into this yourself, we've got
you covered.
Speaker 3 (10:53):
Yes.
Speaker 1 (10:53):
Link to the book is in the show notes, along
with like, you know, some of.
Speaker 2 (10:57):
The other stuff we mentioned those resources.
Speaker 1 (10:59):
Yeah, yeah, definitely check out. There's some really cool examples
of how companies are actually using this stuff.
Speaker 2 (11:04):
It's really cutting edge, really fascinating.
Speaker 1 (11:06):
Yeah, and as always, we want to hear from you, like,
have you seen AI changing the way you work? Is
it making things better? Is it making things more complicated?
Let us know, hit us up on social media. We'd
love to hear from you.
Speaker 3 (11:18):
Yeah, keep those brains buzz in keep those teams collaborating,
and
Speaker 1 (11:23):
We'll be back next time with another deep dive.
Okay, so ready to dive into this AI and team's thing.
Speaker 2 (00:04):
Absolutely, let's do it.
Speaker 1 (00:05):
You know, I always thought AI in the workplace was like,
you know, automating tasks, making the coffee.
Speaker 2 (00:10):
Right, the robot take over exactly.
Speaker 1 (00:13):
But this chapter, this chapter has me thinking, like, it's
not just about working faster, it's like working smarter together.
Speaker 3 (00:20):
Yeah, it's about amplifying our human capabilities, right, Like how
can AI be that extra team member? This chapter goes
through all these ways from like I don't know, recruiting
to even conflict resolution.
Speaker 1 (00:32):
And they kick it off with Walmart. Walmart, Walmart using
AI to negotiate contracts with suppliers.
Speaker 2 (00:38):
Who knew that's wild?
Speaker 1 (00:40):
I mean I would, I would thought people would hate that,
you know, like cold calculating AI versus humans. But it
says that suppliers actually kind of prefer it.
Speaker 3 (00:48):
Yeah, they well, because it takes out, you know, some
of the emotional roadblocks that humans bring to the table. Right.
Speaker 2 (00:55):
So this system, it's called Pactum, It.
Speaker 3 (00:57):
Analyzes tons of historical data to try to find the
best solution that works for both sides.
Speaker 1 (01:02):
So instead of like two people going back and forth
getting frustrated, the AI is just like looking at the
data trying to find a deal exactly. That's really cool. Okay,
but back up a little bit. Yeah, what does this
look like at the very beginning, Like building a team, hiring, onboarding,
all that.
Speaker 2 (01:18):
So imagine, okay, you're a hiring manager.
Speaker 3 (01:21):
Yep, you've got a stack of resumes, this high, the worst,
the worst. AI can go through those applications so fast,
like way faster than a human and pinpoint the people
with the right skills, the right experience.
Speaker 1 (01:35):
All of that like having a superpower. But what about
that gut feeling you get though? Can AI do that?
Speaker 3 (01:41):
So it's not really about replicating that gut feeling, but
more like uncovering things that.
Speaker 2 (01:46):
Maybe we would miss. So like think about it.
Speaker 3 (01:49):
AI can look at someone's digital footprint, right, like their
online presence and kind of get a sense of their style.
Speaker 2 (01:55):
Their values. Oh that's interesting, Yeah, like even their cultural fit.
Speaker 1 (01:59):
Wow.
Speaker 3 (01:59):
And you know, it could even help build more diverse
and inclusive teams. That's a good point because it's focusing
on the skills and not just you know, exact Yeah.
Speaker 1 (02:08):
Well, and this chapter also talking about how AI can
be used to actually create a personalized onboarding experience. So
instead of just like here's your stack of paperwork, good.
Speaker 3 (02:18):
Luck, right exactly, imagine AI system welcomes the new team member, right,
and it's got this whole personalized onboarding plan based on
their role, their learning style.
Speaker 1 (02:30):
That would have been amazing at my last job, right, Like, seriously,
it would saved me so much time. In fact, there's
this example in here about this woman Lisa starting a
new job global health project. Okay, yeah, and her onboarding
is totally customized. So the AI is giving her role
specific info, adapting like you said, to how she learns best,
even scheduling her intro meetings.
Speaker 2 (02:52):
It's about making people feel valued right from day one.
Speaker 1 (02:55):
Okay, see that again, would have loved That would have
saved me from so many awkward coffee dates trying to
figure out like who's who.
Speaker 3 (03:01):
And think about it from the company's perspective, You've got
a more engaged employee who's ready to go faster.
Speaker 1 (03:06):
Win win. Okay. This is already blowing my mind and
we haven't even gotten to AI enhanced leadership. I'm guessing
this is more than just like you know, those automated
email reminders.
Speaker 3 (03:16):
Way more Okay, think of AI as like a leadership coach,
helping leaders refine their vision, communicate better, even motivate their teams.
Speaker 1 (03:25):
So let's about barking orders, more about inspiring action exactly.
I like it. How does that even work though? Does
it write motivational speeches or something?
Speaker 2 (03:34):
It's more subtle than that.
Speaker 3 (03:35):
So they use this example of that global health project
again okay, and the project manager uses AI to like
break down this big hairy mission statement into these clear
goals for each team, right okay, And they can see, oh,
this is how my individual tasks actually play into.
Speaker 2 (03:52):
The big picture, showing them the why, the why. It's
all about the why.
Speaker 1 (03:55):
I love that.
Speaker 3 (03:55):
And it gets even more interesting. AI can take data
from team surveys, performance reviews, even like just their communication patterns.
Speaker 2 (04:05):
And it can figure out, like what makes each person tick.
Speaker 3 (04:08):
What motivates them, what are their strengths, how do they
respond best to feedback?
Speaker 1 (04:13):
So instead of like a one size fits all approach
to leadership, right, you can tailor your style for each person.
Speaker 3 (04:20):
It's personalized leadership, Yeah, driven by data.
Speaker 1 (04:23):
That's incredible.
Speaker 3 (04:24):
And this chapter even argues that AI can actually help
leaders improve their emotional intelligence.
Speaker 1 (04:30):
Hold on, really, yeah, like is AI going to start
writing poetry and giving out hugs.
Speaker 3 (04:36):
Not quite poetry and hugs, because I don't know if
I'm ready for that, not yet. But it can analyze
those communication patterns, like even pick up on emotional undertones
in emails.
Speaker 1 (04:47):
It out. It can tell yeah.
Speaker 3 (04:49):
Like if somebody's feeling overwhelmed, or if there's like some
conflict brewings.
Speaker 1 (04:52):
So it's like an early warning system exactly.
Speaker 2 (04:55):
Or like team drama, team dynamics.
Speaker 1 (04:57):
Oh man, you know now that we're talking about it.
One thing I always struggle with is like collaboration, especially
when you've got people from different departments on a project.
Oh yeah, it's like everyone speaks a different language totally.
Speaker 3 (05:11):
And this chapter they actually talk about how AI can
help like break down those silos. So imagine AI tool
that's like a real time translator for your team.
Speaker 1 (05:22):
Oh my gosh. Yes. Right.
Speaker 3 (05:24):
So let's say a software engineer is like, oh, we
need to refactor the codebase.
Speaker 1 (05:28):
Sounds like gibberish to me.
Speaker 3 (05:30):
Right to marketing, it's like what so AI jumps in
with the quick translation. We're making the website fast or
easier to update.
Speaker 1 (05:40):
Everybody understands they've been helpful in so many meetings I've
been in where I'm like not in along and I
have no idea what anyone's talking.
Speaker 3 (05:47):
About exactly exactly, And it can actually like help prevent
those misunderstandings before they even happen by analyzing those communications,
flagging potential conflicts, you know, even suggesting ways to like
improve how the team talks to each other.
Speaker 1 (06:03):
Okay, so we've got AI helping build teams, onboarding new people,
supporting leaders. Now it's like a communication coach. Is there
anything AI can't do when it comes to this stuff.
Speaker 2 (06:12):
Well, let's not get ahead of ourselves. But this chapter
does go into how AI can be used for conflict resolution,
which I thought was really interesting.
Speaker 1 (06:21):
See that's the one area where I'm like, hmm, I
don't know, because I feel like that needs a human touch,
you know, like empathy, understanding.
Speaker 3 (06:30):
Of course, and the chapter even says it's not about
replacing those human skills, it's about adding more information, you know, support, So, like,
for example, AI can analyze past conflicts, pinpoint what caused
them interesting and even suggests solutions based on like, hey,
this worked in a similar situation.
Speaker 1 (06:49):
So it's like having this like massive library of conflict
resolution exactly best.
Speaker 3 (06:55):
Practices, and it's all data driven, so it can actually
be like a little more objective, right, which can be
good when things are getting a little heated.
Speaker 1 (07:01):
That's true, Yeah, yeah, because sometimes you need that outside
perspective totally.
Speaker 3 (07:05):
And there's this great example in here about a conflict
between a data analysis team and a field research team.
Speaker 1 (07:12):
I can already see where this is going, right, data
versus fieldwork, the classic, that's the classic showdown.
Speaker 3 (07:17):
So the project manager used AI to actually help structure
a meeting to deal with this conflict. Interesting, Okay, So
the AI suggested, like start with a really clear statement
about why collaboration is important.
Speaker 2 (07:30):
Okay, give each team.
Speaker 3 (07:32):
A chance to like say their piece without being interrupted.
Speaker 1 (07:36):
Sometimes just having those ground rules makes all the difference, right, Yeah.
Speaker 3 (07:39):
And then it also suggested they use like data visualization
tools to.
Speaker 2 (07:44):
Help them like find common ground.
Speaker 1 (07:46):
So instead of arguing about whose method is better, they're like,
let's look at what the data says exactly. I like that.
Speaker 3 (07:52):
And this chapter makes the point that like these AI
powered strategies can be helpful, you know, throughout the different
stages of how teams develop. They even like tie it
into Tuckman stages of group development.
Speaker 1 (08:04):
You know, I'm bigly familiar. It's the one where the
team eventually figures out how to work together.
Speaker 3 (08:08):
That's the one, Okay, Forming, storming, norming, performing, right right right?
Speaker 1 (08:13):
So are they saying that AI can play a role
in each of those stages, Yes, exactly. Interesting.
Speaker 3 (08:19):
So like, you know, helping to define roles and responsibilities
in the forming stage, facilitating communication, mediating conflict in the
storming stage, even like analyzing you know, successes and challenges
during the adjourning stage after the project's done.
Speaker 1 (08:35):
It's like having an AI guide on the journey of teamwork.
Speaker 2 (08:38):
I like that.
Speaker 1 (08:39):
That's a good one.
Speaker 2 (08:40):
Copyright though one.
Speaker 1 (08:41):
Okay, But with all this talk about like AI stepping
in and doing all this stuff, what does that mean
for you know, us, the humans? Yeah, the humans. What
happens to the human side of teamwork when you've got
algorithms calling the shots.
Speaker 3 (08:54):
It's a good question, and honestly, a lot of people
are asking it, which is why I like that this
chapter digs into it.
Speaker 1 (08:59):
Yeah.
Speaker 2 (08:59):
And you know, the point is, it's.
Speaker 3 (09:00):
Not AI taking over, it's humans and AI working together,
each kind of playing to their strength.
Speaker 1 (09:08):
So if AI is taking on some of these tasks
that maybe we're not as good at. What does that
make more important for us humans to be focusing on?
Speaker 3 (09:17):
So one thing that immediately comes to mind is empathy. Okay,
AI can analyze data, maybe even like flag an email
as oh this sounds angry, but it can't really understand
what's going on with person.
Speaker 2 (09:29):
You know, you need that human connection.
Speaker 1 (09:31):
You can't send a robot in to like, you know,
give someone a pep talk exactly.
Speaker 2 (09:36):
And then there's creativity like yeah, AI can look at
past data and be like, here's a solution based on that,
but what about those like aha moments right.
Speaker 3 (09:46):
Thinking outside the box that's human totally, and then even
just critical thinking.
Speaker 2 (09:51):
Right.
Speaker 3 (09:51):
So AI can process a ton of information make a recommendation,
but we still need humans to be like, hold on
a second, is this actually a good idea?
Speaker 1 (10:01):
Right? Are we just blindly following the algorithm off a
cliffs Exactly? Interesting.
Speaker 3 (10:05):
AI gives you the data, the insights, but we need
humans to interpret it, ask the.
Speaker 1 (10:10):
Tough questions, and make the judgment calls.
Speaker 3 (10:12):
Exactly.
Speaker 1 (10:13):
It's almost like this whole AI thing is pushing us
to be like even more human. Yeah, you know, like
instead of replacing us. It's like, hey, here're the things
that you're really good at.
Speaker 2 (10:23):
It's highlighting our strength.
Speaker 1 (10:24):
Yeah, our empathy, our creativity, our judgment. I love that.
Speaker 3 (10:29):
It's a good perspective, right, Yeah, and that's really what
this chapter's saying, is like those human qualities. Yeah, that's
what makes teamwork so powerful to begin with.
Speaker 1 (10:38):
I love this conversation. I feel like I need to
go back and reread this chapter now with fresh eyes.
Speaker 3 (10:43):
Right, it's one of those that you're just like highlighting
every page.
Speaker 1 (10:46):
There's something it's so good. Yeah. Well, for our listeners,
if you're ready to dive into this yourself, we've got
you covered.
Speaker 3 (10:53):
Yes.
Speaker 1 (10:53):
Link to the book is in the show notes, along
with like, you know, some of.
Speaker 2 (10:57):
The other stuff we mentioned those resources.
Speaker 1 (10:59):
Yeah, yeah, definitely check out. There's some really cool examples
of how companies are actually using this stuff.
Speaker 2 (11:04):
It's really cutting edge, really fascinating.
Speaker 1 (11:06):
Yeah, and as always, we want to hear from you, like,
have you seen AI changing the way you work? Is
it making things better? Is it making things more complicated?
Let us know, hit us up on social media. We'd
love to hear from you.
Speaker 3 (11:18):
Yeah, keep those brains buzz in keep those teams collaborating,
and
Speaker 1 (11:23):
We'll be back next time with another deep dive.
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