Latest / Love Conquers Fear / #54: (Part 2) Navigating AI Codependence: Protecting the Workforce Over Efficiency — Sol Rashidi

Transcript

#54: (Part 2) Navigating AI Codependence: Protecting the Workforce Over Efficiency — Sol Rashidi · Love Conquers Fear

0:00
I love our generation like Gen. X, because we are probably the
0:03
only generation that learned things the analog way, pivoted
0:06
to becoming digitally fluent and native, and now we have the
0:10
opportunity to become AI native and fluent, and that's a real
0:12
advantage. But it also means that we have
0:14
to step up because we're the only ones that can bridge and
0:17
connect what's happening with us.
0:18
There has to be a bit of an awakening because we are all
0:21
ships in a fleet and sometimes we feel lost.
0:23
But collectively we have to do the right things.
0:26
We're going to feel like independent ships and anything I
0:28
do isn't going to be enough. But if we get the one person's
0:31
it's not enough, multiplied by 1000, then a million.
0:35
There will be a collective movement and I do think there's
0:37
going to be a conscious awakening.
0:41
Hey everyone, welcome back to the Love Conquers Fear podcast.
0:45
I just want to record a quick intro to what you're about to
0:48
see. I was on stage at the amazing
0:51
Culture RATI Summit. This is a global gathering of
0:55
people that really care about conscious capitalism, about
0:58
culture. And of course, the moment there
1:02
was all about AI and how we navigate this for the best
1:07
employee and leader outcomes at these companies.
1:11
And as I mentioned on the episode that you watched, if you
1:15
watched the last episode, Sol Rashidi was with me and we were
1:20
the closing keynote. Their soul is the first chief AI
1:25
officer in the world. She got that title in 2016.
1:29
She's a very good friend and she's just amazing.
1:32
And you'll see how amazing she is on stage.
1:35
So now we'll roll the tape and you'll get to see us on stage at
1:41
Culture Rati as the closing keynote.
1:43
Thanks again for all of your support.
1:45
What an honor to be here. I've been involved with Culture
1:50
Rati since pretty much the very beginning.
1:53
I remember when Eugene first told me about his big idea.
1:58
And, you know, I was thinking a lot back to that moment.
2:02
Where is Eugene? Right over there.
2:04
So Eugene, if you remember at that moment you were talking
2:08
about, you know, I think that the winds are going to shift
2:11
here when it comes to company culture and that there's going
2:15
to be a lot more interest in gathering to discuss best
2:19
practices. And you were, of course, spot on
2:21
with that. And it's amazing to see what
2:24
this what this has become. And I'm going to just give a
2:28
quick intro of myself and then to Seoul.
2:31
But I'm on this mission now with Love Conquers Fear, which is
2:36
both a podcast, it's a book coming out.
2:39
The book comes out on June 23rd in honor of the solstice.
2:44
It's called Love Conquers Fear with the subtitle Humanity, AI
2:47
and the Age of Abundance for All.
2:49
And the reason I'm doing what I'm doing right now is that I
2:55
think that humanity over all is in need of a culture shift,
3:01
which is found in the ancient spiritual traditions, all at the
3:05
common root that love has to conquer fear for humanity to go
3:11
through the gate to make it to the age of abundance for all.
3:17
And I was honored to have soul on the podcast we recorded
3:22
yesterday. And this is Part 2 of the Love
3:26
Conquer Sphere episode that'll come out.
3:28
It's episode 54. And it's, it's a really neat
3:32
synchronicity, Eugene, to think about that you were seeing that
3:36
and, and you were kind enough to bring me into the tent on which
3:41
you were seeing as a thought partner.
3:44
And now you're bringing me here on stage to talk about this
3:49
shift that I see that overall humanity needs to have.
3:52
And we've, we've heard about that here on the stage and lots
3:56
of different ways from both the utopian and the dystopian and
4:01
the, you know, kind of in the middle case.
4:03
So here we are. Seoul is a very good friend of
4:07
mine. I'm super honored to have her
4:10
here. This is her first culturati and
4:14
let me just tell tell them something I learned about you on
4:17
the podcast just to set this up. So you know that this conference
4:20
started out with with bravery and courage as a thematic and
4:27
soul is the person who grew up here as a immigrant with
4:33
immigrant parents and always was really determined to lead with
4:40
courage and prove herself. Including jumping into the pool
4:45
and going into the swim team when she did not know how to
4:49
swim. Then going into rugby when she
4:52
did not know how to play rugby and somehow always ending up on
4:57
top. And you became the world's first
5:00
chief AI officer in 2016, which is not surprising when people
5:06
get to hear your background really unpacked in that in that
5:09
episode that we did together yesterday.
5:12
I mean, for context, I have to let you know, like, as immigrant
5:15
parents, they're not woke or overly protective.
5:18
So when I told my mom, I was like, well, I don't know how to
5:20
swim. Why do you want me to join the
5:21
swim team? She's like, it's easy, just
5:22
don't sink. Like, that was her advice to me.
5:24
And I was like, OK, thanks. So I show up in my Kmart bathing
5:28
suit that's three sizes too big. Because immigrant parents don't
5:31
buy you what you fit into. They buy what you can grow into.
5:34
And it was just a hot mess, scrunchy hair everywhere, just
5:39
to give you guys a visual. It was not pretty.
5:41
Why don't we, why don't we talk about how you became the world's
5:44
first chief AI officer? Because that that in and of
5:47
itself is like an improbable type of occurrence.
5:50
And it is only in Seoul's life with what this had happened.
5:54
I mean, for all of your roles, like Show of Hands, how many of
5:57
you guys thought growing up, this is what you wanted to do
5:59
and this is who you're going to be?
6:01
And I don't know if we believe in synchronicity and it was
6:03
meant to happen. I don't know if we believe in
6:05
divine paths and divine timing or it's just sheer chaos and you
6:09
started making some random decisions and you ended up where
6:11
you were. But I'm going to say it's all
6:14
three for me went from professional rugby player.
6:18
It was time to actually get a real job.
6:20
I took the first job offer, which was data analyst, state
6:22
engineer, didn't know how to spell either word, but figured
6:25
it out. Ended up getting into the space
6:27
when no one else wanted to be in the space.
6:30
And then I became a partner at IBM and I saw their like data
6:33
practice. Then Watson be Ken Jennings.
6:36
Did anyone see that 2011 Jeopardy televised?
6:39
Yeah, it was pretty remarkable. And that's when IBM said, OK,
6:43
we're taking Watson a market. And so I was like, let me in
6:46
coach, you can't do AI without data.
6:48
I didn't know if that was true, but they bought it.
6:51
And that's what I did for five years was we helped launch
6:54
Watson. And for five years from 2011 to
6:57
2016, it was fly around the world, AI strategies, AI use
7:01
cases, development and deployments.
7:04
Went to EY, started their advisory practice because they
7:07
didn't want to just be an audit company.
7:09
My client hired me and said, essentially, stop selling the
7:12
dog food when I eat your own dog food.
7:14
So I went from management consulting to industry.
7:16
And that's when I became chief AI officer in 2016.
7:19
And then since then, it was a series of like C-Suite
7:21
positions. I've held it five times over and
7:23
some across Fortune 50s. But the real thing happened was
7:27
when I joined, AWSI had joined as their, like, head of
7:31
technology for North America, for their startups division.
7:33
And we define startups as any company with 3 billion ARR or
7:36
less, right. Just to show you the scale.
7:38
Yeah, pretty crazy. And at the same time, I was
7:40
like, what's my purpose? What's my purpose?
7:43
And it all came together. And so I resigned from AWS
7:47
because I had finally figured out that my purpose and calling
7:49
was fundamentally around security, securing the future
7:52
workforce and making sure that my kids have a place to grow and
7:56
have an identity and purpose, and then securing AI ecosystems.
8:00
So I do the keynotes, I do the writing.
8:04
I do the research with Harvard. I'm a senior fellow there.
8:06
Where's Eileen? Hi, Eileen.
8:08
But I'm also the Chief strategy Officer for an AI security
8:11
cybersecurity company because for the first time ever in the
8:16
many years I've been doing technology engagements, we are
8:20
being told to run with scissors. And it's the only way I can
8:23
describe it. Not even with a cap on, just go,
8:26
just go. And I've never been given that
8:28
full permission. And I've seen when things go
8:30
wrong and we're so good at sweeping it under the rug that I
8:34
just feel that more of the balanced narratives need to be
8:36
shared. So took me here and this is
8:39
where we are now. Yeah, well, it's an honor to
8:41
have you here and on this incredibly beautiful campus that
8:45
that has HEB Charles Butt gifted for public school education.
8:51
It's really amazing. Wonderful.
8:52
So, you know, I, I've got a long time background as an
8:56
entrepreneur and I tend to think of things from that lens.
9:00
I've started, you know, six companies, been fortunate enough
9:03
to found one that had a very successful IPO.
9:07
And I see my big dream in terms of what this technology moment
9:15
allows us to do is create millions and millions of
9:20
personalized products and services that we can't imagine
9:23
today. And yes, there's going to be
9:27
disruption and there's going to be companies that do layoffs,
9:31
etcetera. But the necessity is the mother
9:34
of invention and it's going to lead to a boom in the startup
9:38
ecosystem. So I can look at it from that
9:41
lens in terms of my optimistic, you know, case.
9:46
How do you look at it from a bigger company case?
9:50
Because you're, you're out there meeting with tons of big
9:53
companies all the time. You've also worked at many big
9:57
companies which are big foreign. For me, that was like the
9:59
beginning of my career before I became an entrepreneur.
10:03
And so I'm curious like, how do you see this, this, this future
10:06
workforce developing and and companies finding their way in
10:10
this moment? So I think there's a a few
10:14
layers to the cake. I think there's some ironies,
10:17
there's some paradoxes, and there's some theories that are
10:19
breaking everything for bigger companies.
10:23
We are trying to efficiency and roductivity are primary metrics
10:28
for us when it comes to artificial intelligence and what
10:31
I'm trying to retrain everyone like, So what if we do more of
10:33
the wrong things? You're technically more
10:35
roductive, but is there a way to rethink it?
10:37
Should we be measuring effectiveness?
10:39
How are you growing your business and growing your
10:41
workforce in parallel? There is another way of defining
10:44
success in addition to efficiency, productivity, which
10:46
is important. But for some reason the
10:48
effectiveness measure or metric has not made it to the
10:51
scoreboard of whether or not we are being successful.
10:54
But I'm showing them across their functions of, OK, you've
10:57
now increased productivity 22%, but you're creating more output
11:01
of the incorrect decisions. That's not a good measure.
11:04
But you know, if your scoreboard looks green, you must be hitting
11:07
the mark. So I think there's a new
11:09
measurement. I think we're also not measuring
11:11
cultural ROI and relevancy ROI. We're only in purely obsessed
11:15
with financial ROI. The cultural ROI is we're
11:19
setting the temperature in the room right now, what's to come,
11:22
even if we have more unknowns than knowns, but we have to,
11:26
it's part of staying relevant. And then the relevancy ROI, if
11:29
we don't do this now, where does that put us in two to three
11:31
years? Because with this path, there is
11:34
a theory and we're trying to assess whether it'll come true
11:36
is the market share is not going to be owned by big enterprises.
11:40
There's too much competition. The speed to develop the
11:43
acceleration is getting faster and faster.
11:45
It's Moore's Law and pure effect.
11:46
We're going to potentially pivot into an economy of micro
11:50
services and micro economies, especially if we're not hiring
11:54
the younger talent. They've got to work, they need a
11:56
purpose. They're going to come up with an
11:57
idea, they're going to vibe code their way through it.
11:59
Some VCs going to invest in it, and they've got a 15,000,000
12:01
buyout. Meanwhile, us mere mortals are
12:04
still working at Enterprise 14 alignment meetings in and we
12:07
still haven't made a freaking decision.
12:09
That is a plot that is a plausible option.
12:13
So I think that's a reality. But in terms of the workforce, I
12:16
know we don't have answers yet, but there are a few things that
12:19
have been, if you're extracting signal from noise that are
12:22
pretty evident. The first one is, and I think
12:25
this is where some interesting paradoxes kick in, the only
12:29
governance that we can all holistically agree on as we're
12:33
deploying artificial intelligence is human experts in
12:35
the loop, correct? Like we all say that human in
12:37
the loop, human in the loop. Well, guess what, if we are
12:41
removing the pathway, if we are not hiring the early career or
12:46
college graduates, we are not giving them the channel to gain
12:50
the expertise. With all due respect, who the
12:52
heck is governing these things in 8 to 12 years?
12:56
So the very thing that we're relying on is also the pathway
12:59
that we're destroying at this moment in time.
13:01
So we've got to encourage folks that by the way, we cannot
13:06
disintegrate this channel to developing expertise.
13:09
And also, if the name of the game is really around business
13:12
process optimization or redesigning A workflow, well, if
13:15
you had a person, a procurement or supply chain or an FPNA, have
13:18
been doing their job for 16 years, they may or may not have
13:21
the capacity of redesigning that workflow.
13:24
But if you get some new energy in there that's been there 6 to
13:26
9 months, guess what? The young folks love telling us
13:29
what to do, how we can do it better.
13:32
So there is a symbiotic energy that can be developed.
13:36
And I think the third, which we're statistically trying to
13:40
prove because we don't know the magnitude, is by getting rid of
13:43
early career and college grads, it's actually going to cost
13:46
companies more money in the future because of law supply and
13:49
demand. If there isn't enough supply,
13:54
then by default, those that are considered the experts can
13:57
charge a higher premium. It's a super simple equation.
14:01
So right now, let's say you've got your execs, your senior
14:04
leaders, your middle tier early career, and your college
14:07
entries. If we cut off that pipeline or
14:09
we reduce it so much and it compresses well, middle
14:12
management who's now senior, instead of there being 400 of
14:16
them, there's only 75, maybe 100.
14:19
And instead of paying them $200,000 a year, they're going
14:22
to want 650 because guess what? They are in demand.
14:25
And if you're not in a sexy industry, if you're not in a
14:28
glamorous industry, they may not want to even work for you.
14:30
So it's actually going to cost the company a lot more money.
14:32
But unfortunately, Charlie Munger's theory is very
14:36
accurate. Show me the incentives and I'll
14:37
show you human behavior. We're we're obsessed with the
14:41
quarterly improvements and the annual improvements and what
14:43
basis points we were able to increase in that year because
14:46
our bonuses are dependent on it. So I think those are some other
14:49
dynamics. And then I think the other thing
14:53
is the taxonomy of talent is pivoting or has pivoted from I
14:58
to T and we're moving into a future from T to M.
15:01
What this means is when machines and automation in the industrial
15:06
revolution happened, what happened was, is they went from
15:09
farm labor to factory labor. It was very single dimensional
15:14
and fairly monolithic, but with digitization and computers we
15:18
pivoted from an I model into AT model.
15:21
Now it's a matter of knowing a subject matter expertise in a
15:24
single domain, but being cross collaborative with other
15:26
functions. But AI is forcing us to know
15:31
more and do more because now data has been democratized at a
15:34
scale that we've never had access to.
15:36
So there will be a pivot into the M model where knowing one
15:40
domain is no longer going to be enough.
15:42
You're going to need to know a few and the insection like the
15:45
intersection of how those few connect.
15:48
And so the expectations are going to be a little bit more
15:50
like, unfortunately, as if things weren't busy enough,
15:52
complacency won't be an option moving into the future.
15:56
And I love our generation like Gen.
15:59
X, because we are probably the only generation that learned
16:03
things the analog way, pivoted to becoming digitally fluent and
16:07
native. And now we have the opportunity
16:09
to become AI native and fluent. And that's a real advantage.
16:13
But it also means that we have to step up because we're that
16:15
Ice Cream Sandwich and gooey middle in between.
16:18
We're the only ones that can bridge and connect what's
16:21
happening with us. So if we talk about the age of
16:23
AI and you know, not to get woo woo on anyone, but there has to
16:27
be a bit of an awakening because we are all ships in a fleet and
16:31
sometimes we feel lost. But collectively we have to do
16:34
the right things. And has anyone ever played
16:37
Galactica? Yes.
16:40
All right. Well, if you haven't played it,
16:41
then you won't get the analogy. But I mean.
16:43
Yeah, we're we're around the same age.
16:45
That's true. That's true.
16:46
We're we're going to feel like independent ships and anything I
16:49
do isn't going to be enough. But if we get the one person's
16:53
it's not enough multiplied by 1000, then a million, there will
16:58
be a collective movement. And I do think there's going to
16:59
be a conscious awakening. And in parallel, I think we're
17:02
going to need a few whoopsies happening along the way before
17:05
people wake up and go, wait a minute.
17:07
I think we have to be a bit more prudent.
17:08
I'm not saying slow down, but let's give some consideration
17:11
to. I definitely want to go woo at
17:13
some point in this conversation. One, one thing that I'll, I'll
17:17
bring in a, a startup perspective, a stat that really
17:20
shocked me this year. So I was at last year, I was at
17:25
Ted AI and one of the guest I had on the podcast for episode
17:31
21 is Jeremiah owing who you, you probably know Jeremiah.
17:35
Jeremiah was the closing keynote speaker at Ted AI and he runs
17:40
the Blitz Scaling Fund with with Reed Hoffman and Chris Yay,
17:44
which is focused on the AI companies and AI native
17:47
companies. That means that they started in
17:50
this era their revenue per employee on average in Silicon
17:55
Valley is $2.7 million per employee.
17:59
The best in class software as a service companies is around
18:04
650,000 prior to this this boom and most SAS companies are right
18:13
around 350,000 or so. So it's really unprecedented
18:17
revenue per employee and it's actually led to what's been
18:21
called the SAS crash this year. A lot of SAS companies this year
18:26
are around half of their market caps because of this fear of the
18:32
of the disruptors coming along that don't have to worry about
18:38
the workforce management change. They can just be like I'm
18:41
starting from the very beginning with tons of AI agents in a lot
18:45
of these companies, you know, will brag about the fact they
18:49
have 10 employees, but then they have, you know, hundreds and
18:53
hundreds of additional employees through these AI agents.
18:57
And the reason I mentioned that is that you know, when, when
19:01
culture already started and, and, and even today, you know,
19:05
it's, it's not just big companies, it's also small
19:08
companies that learn from each other.
19:11
And it's almost like, you know, we always learn from children
19:15
like where things are going well, the startups are the way
19:19
in business to learn what the children are doing because the
19:23
startups of the children in terms of where things can go.
19:27
And I think that I think by the way, that can be a really good
19:32
thing for big companies because it shows what's possible.
19:36
And hopefully it'll lead to more big companies thinking about,
19:39
wait, if they can achieve that per employee, then shouldn't we
19:44
be going into a lot of new markets right now and going AI
19:47
first, You know, having a Google X type division to go after
19:52
those new markets and, and really, really come out with new
19:56
products, new services, new markets that they've always
19:59
wanted to, but they've never had the capacity to do.
20:04
So I have the advantage of mostly an enterprise with a big
20:09
tech, and I'm working for a Series F startup right now.
20:12
And I've had a few of my own startups.
20:14
And I don't think it's all bubble gums and unicorns in the
20:17
startup world either. It's a game of Hungry Hungry
20:20
Hippos out there right now with legitimately.
20:24
So as quickly as you sparked it up, yeah, you're you could
20:27
potentially be like hostile takeover by someone else or like
20:31
they just have better tech. I think the other thing is a lot
20:34
of the stuff that's being built in the startup world is
20:36
fantastic, but it's not enterprise grade.
20:41
And so that element of safety and trust, some of times it's
20:45
lacking because they prioritize speed over prudence.
20:48
I get it. But there are some markets, some
20:50
industries to be able to get to the multibillion dollar market
20:54
share. You have no choice but to be
20:56
enterprise grade and they don't have the discipline yet because
21:00
they've been able to short circuit their way through all
21:02
the capabilities that are available now.
21:04
I think the third is, is with the current evaluations, there's
21:07
a lot of monopoly money out there.
21:10
So I believe those numbers, but I think it's a smaller pool of
21:14
startups that could potentially meet that.
21:16
And we call them the unicorns because they're rare, but we
21:18
always hear about the amazing startups.
21:19
We don't hear about the 999 that failed.
21:22
So I'm wondering if the law of averages is kicking in with that
21:25
evaluation because there is a lot of Monopoly money and like
21:29
inflated evaluation. And I would say it is the last
21:32
is when a startup stops becoming a startup and they become, let's
21:37
say they've become the past scale ups and now they're
21:40
grown-ups, they're going to go through the same issues as
21:43
enterprises because now you're big with multiple individuals,
21:46
multiple layers, multiple channels, multiple functions,
21:49
multiple workflows. And if John Gall's theory around
21:53
systematics kicks in, the bigger something gets, the more chaos
21:57
naturally wants to encourage law of entropy.
22:00
And so it gets to a point where you can't linearly define every
22:03
workflow because there's a lot of organic ways of doing
22:06
business that can be defined in boxes and arrows and triangles.
22:11
They're going to, they're going to face the same struggles.
22:14
And so I think it's almost a curse to be super successful
22:16
very quickly because they are my, my infamous quote that I
22:21
always say is sometimes when you're a startup and you grow
22:24
too big and you haven't learned the discipline of what it takes
22:26
to be enterprise grade, you're building the plane while you're
22:29
flying it and you still have passengers on board.
22:32
And that could be more detrimental than anything.
22:34
Not to say there aren't any successful startups.
22:36
There's a ton. And I have met more 27 year old
22:39
multi millionaires that make me question every decision I've
22:42
ever made in life. I'm like what on earth?
22:47
But a majority of them don't make it, and the ones that do,
22:50
if they're able to get over that hump, they deserve it 100%.
22:54
Yeah, I think, I think that that stage advice, I mean it's
22:57
certainly as an entrepreneur, I face that multiple times where
23:00
you think the cost of something is X, but actually it's Y
23:04
because you weren't providing and.
23:06
You can't explain it. You don't say.
23:07
You're like, why is this so complicated?
23:08
The classic enterprise question. I don't understand.
23:10
Why is it taking so long to get this done?
23:12
But I could, I could see one of them watching this and say,
23:17
wait, you guys don't get it. Like we're running up an
23:21
exponential curve and what used to cost a lot a year from now,
23:27
two years from now, three years from now, we're actually going
23:30
to be able to sustain this. And I think I think time will
23:33
ultimately tell. But I mean, we, we, we, we
23:36
definitely, you know, should just frame this conversation
23:39
that, you know, of course, there's been a lot of talk about
23:42
AI here. It would be irresponsible for us
23:44
not to be talking about AI here. We're talking about something
23:47
that can dramatically increase productivity.
23:51
Many of you have already seen it yourselves can dramatically
23:54
increase creativity or we're at this moment in history where
23:59
nothing has been prioritized like this before.
24:04
You know, when, when Trump announced Project Stargate last
24:07
year on January 21st at 500 billion of funding to in this
24:13
race to create AGI versus the fear of like if the Chinese get
24:17
it first, we're kind of back to that, that moment, like the
24:20
Manhattan Project or the space race that is more inflation
24:25
adjusted than we spent on either the Manhattan Project or the
24:29
space race inflation adjusted. Since that moment in time,
24:33
there's been around $7 trillion worldwide allocated towards this
24:39
race to create AGI, artificial general intelligence.
24:43
We've never seen anything like this in human history.
24:46
There's never been a moment in human history where humanity has
24:49
prioritized anything with this much money, time and energy.
24:55
And we heard a lot on stage, You know, you and I were texting
24:59
each other about courageous leadership and about what is the
25:06
definition of hero and what is the superpower of a hero?
25:11
And the superpower of a hero is love.
25:16
And we find this in in all of the text.
25:18
So, you know, part of the reason we do need to go a bit woo, is
25:23
that we're at that we're at that time in humanity's history where
25:30
this is the time of the great philosophers.
25:33
Why are we here? What is our reality?
25:37
Do we have a soul? Is there some bigger cosmic
25:41
purpose to what is unfolding right now?
25:45
You know, the synchronicities that are happening around this
25:49
incredible moment. And I've got lots of opinions on
25:53
that, but I would love to bring you in to that.
25:56
And I've, I've laid these out many, many times on the podcast.
25:59
I don't want to dominate this conversation.
26:01
You I know you have a perspective on this too.
26:04
We were at dinner last night and someone had mentioned there is
26:09
AI. Don't know if it's a causation
26:10
or a correlation that the deeper you are in AI, the more
26:13
spiritual you've gotten in the path just to maintain your
26:16
sanity. I think I'm like a walking tuck.
26:19
Thank you. Yes, you mentioned it.
26:21
And I was like, yes, because I have been quote, UN quote what
26:24
they call on the journey the past year and a half because it
26:27
can get dark sometimes. And I put a lot of pressure on
26:30
myself of like, I need to course correct this path and I've taken
26:34
it on myself. And like, sometimes, you know,
26:36
I'm, I'm a mother of an 8 year old and a 10 year old and I
26:38
travel three to four, sometimes five days a week.
26:41
And I asked them, like, do you know why mommy's doing this?
26:44
And are you guys mad at mommy? And they're like, no, you're
26:46
making sure robots don't take over the world.
26:49
And it's, it's cute and it's. Cute and true, yes.
26:55
Yes, because we're messy and we're beautiful and I want my
27:00
kids to have purpose in the future.
27:02
And so much of what we do is connected to what we do.
27:05
And I don't want a world like Wally.
27:07
I don't want us to be big fat blobs drinking food out of a
27:10
straw and doom scrolling all day.
27:13
Like that sounds horrible. And I think there's a lot of
27:16
newborn geniuses that are out there that need the ability to
27:19
exercise their minds. And I think we have to pave the
27:23
way. And it sucks because I'm
27:25
sacrificing days with my kids now, but I'm like, and you won't
27:28
know this, but it's so that you have a future in the future.
27:35
And I know it's busy. We can never keep up with our to
27:39
do's, no matter how efficient we become, no matter what frickin
27:42
agents we use. The expectations are just
27:44
massive and they're growing and they're growing.
27:48
But the one thing that I think we cannot, excuse me, two things
27:52
we cannot negotiate is our personal health.
27:55
We have to exercise and treat ourselves better.
27:57
And then too, we have to have an element of consciousness.
28:01
And I use the word consciousness very, very differently because
28:03
to me, the consciousness is about giving the early career
28:08
adults the ability to form judgement, critical thinking,
28:13
discernment, problem solving. Not everything can be prompted
28:18
because yes, AI is wonderful at uncovering very efficient paths,
28:23
but it may not be the right path for us based on that
28:25
relationship or that context or the nuances that go into play.
28:30
And with all due respect, when you're on the job and you're
28:34
early stage, yeah, you're learning the job, but that's not
28:37
what you're really learning. You're learning the practice of
28:40
judgement. And more than ever, because we
28:43
have so much information available at us and so much, I'm
28:45
going to give you some stats. How many of you guys have flown
28:48
internationally? How many movies legitimately can
28:52
you really see in one sitting? Two.
28:55
Maybe 3 before you 3 the what? As many as it takes.
28:59
Yeah, exactly before your bum starts getting a little sore.
29:03
Like maybe 3. Right now we are ingesting about
29:08
84 gigabytes of data a day through and I'm going to 84
29:13
gigabytes through Teams, Slack, text, WhatsApp, personal e-mail,
29:18
job e-mail, the gosh darn school PTA app that keeps pinging you
29:21
like there's a school project. 84 gigabytes of data is
29:25
equivalent to 17 full length movies.
29:30
We are not suffering from dementia or distraction.
29:33
It's we are multitasking and trying to handle today the way
29:38
we've handled the past. And we fundamentally weren't
29:40
built to memorize, reflect, like retain this much information.
29:45
So extracting signal from noise is going to be one of the most
29:48
critical skill sets. And how do you do that?
29:51
Because we can go into a situation without anyone saying
29:54
a word and our intuition will tell us something before the
29:57
data even catches up. They're not getting that
30:00
experience and my heart breaks for them.
30:02
And I tell my children, I'm like, you all are geniuses.
30:04
As long as there's Wi-Fi, you remove Wi-Fi, they're Ding
30:08
dongs. So like we have to do silly
30:12
little practices. I drive them to jiu jitsu.
30:13
I'm like, how do we get home? They're like, I don't know.
30:15
I'm like, we've taken this trip like 1000 times.
30:17
I'm I'll put my car in park. I'm like, I guess we're guessing
30:21
how do we get home? Or like we're at an airport.
30:23
I'm like, how do we get out? Like, well, how am I supposed to
30:25
know? I'm like, look at the signs.
30:27
There's plenty. Do you know what the word exit
30:29
means? Like they're just not spatially
30:31
aware, Like things aren't connecting yet.
30:32
And so I'm not teaching them algebra and geometry.
30:35
I'm teaching them common sense and critical thinking.
30:37
And we need to do that for the young adults and our children.
30:41
And every now and then, whether it's calling it in your career
30:45
and saying, OK, this isn't my environment, I'm not going to
30:47
flourish here. But being in another environment
30:50
that says run like a stallion because we believe in what
30:53
you're doing, every decision we make is so, so important, not
30:58
just for us, but the future generations as well.
31:00
And I think there is going to be a collective conscious and
31:03
there's going to be whatever that revolt takes shape.
31:06
It's going to happen at all layers.
31:08
It just has to. I think that I think things are
31:12
happening for a reason and I think that the Divine is working
31:17
through us right now to get us to have a collective awakening
31:22
so that we can manifest a future of abundance for everyone on the
31:26
planet. And just to personify this, you
31:28
know, the book I'm writing, I cover this Uber driver picks me
31:32
up at 4:30 in the morning for a flight and he and I just have
31:36
this electric connection. You know, I can't quite describe
31:39
it. We're just meant to meant to be
31:40
together. And it's also. 4:30 in the.
31:44
It is 4:30 in the morning, which which you would not think that
31:47
you would be in that type of mood on either side, right?
31:50
And he's from this country called Chad.
31:54
And I was embarrassed to not know anything about the country
31:57
of Chad. It's a country in Africa.
32:01
I'm using ChatGPT really quickly to get up to speed as we're
32:05
talking. It's got AGDP of $660 a person.
32:09
Our GDP here in America is $86,000 a person.
32:13
The things that we have here, you know, he's, he's just raving
32:17
about America like that. He's, he's like, you know, I'm
32:20
saving up for the next, you know, six to seven years so I
32:23
can bring my family here. You know, I'm supporting 6
32:27
people back home. And, you know, he's like, this
32:31
is the land of abundance, you know, and I personified in my
32:36
book that it hit me on that, on that drive where I'm like, who's
32:42
going to take care of Chad? Like who's going to go in there?
32:46
There's not really a lot of money to be made in Chad.
32:49
Like in in a global capitalist society, who's going to go in?
32:54
And the answer came to me, it's robots, it's AI, it's quantum
32:59
computing. It's things getting to a point
33:03
where they're so cheap and so abundant that some promising NGO
33:07
or some country, you know, some Kenyan entrepreneur or, or
33:12
somebody close enough by says, I'm going to go in there and the
33:16
cost now I've gotten to a point where I'm going to build the
33:19
clean water supply, I'm going to build the power they need, I'm
33:21
going to build the healthcare they need, etcetera.
33:25
And that's I think part of what is manifesting through US.
33:30
And you know it. When I was at Ted two years ago,
33:33
Demisysibis was on stage and Chris Anderson was pushing him
33:38
on like, why are you doing this? What is your purpose?
33:41
Like, why do you care about doing this?
33:45
And he said, you know, I really want to understand the so-called
33:51
tree of knowledge. Like I want to understand the
33:54
resolution of our universe at the Planck scale level.
34:00
And there was a really interesting, you know, exchange
34:03
back and forth with him and Elon Musk, which Elon Musk has plenty
34:07
of issues. I'm not going to defend those,
34:11
but it was a really interesting exchange where they're both
34:13
saying this is their big drive. And I think that there's a huge
34:18
yearning for us in humanity to understand a the reality we're
34:24
in, which I think we're going to be able to decode more and more
34:28
as we write up this exponential curve, but also this deep
34:31
yearning to actually create this future of abundance.
34:37
And I know that that's very hard to see because, you know, you
34:42
and I talked about the podcast that what if the world's like,
34:45
you know, 5, you know, mega trillionaires and everything
34:48
else, but there's no market. If that happens, it's like.
34:53
I mean a lot of people. People are up with pitchforks
34:55
and you know, there's, there's, it's just not going to happen in
34:59
the global village. And I think the global village
35:02
is going to demand abundance as we manifest abundance.
35:07
So if you ask me, and I love your perspective because you're
35:11
so like just optimistic and full of heart and I love that and I
35:15
love that for you. I might be able to subscribe to
35:23
that philosophy if there were a few women in the mag 7.
35:28
Right. Yeah.
35:30
But there aren't and. I'll give you 2 rising doctor
35:34
Fifi Lee and Mira Marotti. Both true big time.
35:37
But like even if you look at that, Mira's got a multibillion
35:40
dollar company. No one knows what that company
35:42
does yet. And our beloved Fifi is still in
35:45
academic world and Stanford, she's doing a lot of amazing
35:47
things, but they are not actually.
35:49
She started Worldwide Snow. She did, but they're not in the
35:52
flywheel of the Mag 7 that's investing multibillion dollars,
35:55
so they're now too big to fail. Like if we can just inject maybe
35:58
a spiritual leader and a few women, I'm good.
36:01
Yeah, yeah, yeah. But we're not doing that.
36:04
And the fact of the matter is we have been much more efficient
36:07
with water energy like 100 times fold in the past 20 years
36:11
because we've seen Moore's law come to effect and we still have
36:14
countries without running water like them still dying of
36:17
disease. So we've experienced abundance.
36:21
Why aren't we carrying it through just greed and power?
36:24
Like, unfortunately we're, we're messy and some of that stuff can
36:27
override. And so I don't know, maybe maybe
36:33
I should think like you. And I'm trying to hence the
36:35
spiritual path that I'm on of like, like, how many freaking
36:39
crystals do I need to hold just to make sure we course correct
36:42
this darn thing. And I'm going to do everything
36:44
in my power to get there. But I think This is why
36:47
conferences like this matter. It's a reminder that you're not
36:50
alone. It's a reminder that we're all
36:52
overwhelmed, but it's also a reminder of it is good that
36:56
you're not a technologist. As a matter of fact, you're
36:59
going to have more influence because there's more in the
37:00
world that aren't technologists than technologists.
37:03
And you do need to lead with heart.
37:05
And Chris, thank you for being the humanitarian techie that you
37:08
are, right. If we just had more techno
37:11
functional individuals, I think we would be a lot more balanced
37:14
in our approach. And so whether we just need a
37:17
massive shock and an awakening. So there is a collective
37:20
conscious, great, I'm all for it.
37:23
Whether we have a spiritual leader and some women in the Max
37:25
7 and there's more balance, great, I'm all for it.
37:29
Or if it leads down to a revolt at multiple levels, great, I'm
37:33
all for it. But it's probably going to take
37:35
a version of all three to come together for us to make sure
37:39
that the path we're on gives us the ability to to thrive in any
37:43
sense of the word. Yeah, I, I, I agree with that.
37:47
And I think that the meta theme for humanity is that love has to
37:54
conquer fear for us to make it and.
37:57
But you know what? I don't think they were hugged
37:59
enough as a kid. I don't think there's enough
38:02
love in their hearts. If I'm being on this, I.
38:04
Think that could be the case, but I, I, I really think that,
38:09
you know, as, as humanity experiences more and more of the
38:13
superpowers, that what's going to happen is humanity at large
38:18
is going to want to grasp that. I mean, it's a, it's a bit like
38:22
an egg envisioning what it would have been like to be in India
38:27
prior to the rise of Gandhi. Like people wouldn't have been
38:30
able to see it and they would have just thought, gosh, you
38:34
know, this, this country used to be so, so amazing.
38:38
You know, it was there were so many areas of India right prior
38:41
to the British kind of collapsing it all together.
38:45
And you know, they reclaim that and they reclaim that through a
38:49
non violent leader. And I think that we're going to
38:53
have tremendous, tremendous bottoms up pressure from people
38:58
as they see abundance. I just don't think it's going to
39:02
be sustainable for a world of oligarchs.
39:06
I just, I just don't see humanity.
39:07
I hope it's not sustainable because having a few
39:10
trillionaires of bunkers in New Zealand just isn't going to be
39:12
the answer for us. It's not going to be the answer
39:15
for them to what I mean now they're trainers that they're
39:18
living in a dystopia. True, totally true.
39:22
What I don't think we can do right now is abdicate our
39:27
responsibilities and kind of say, OK, I'm just going to write
39:30
out the next 10 years until I retire.
39:32
I don't think we could demutate the choices of like, I have to
39:36
make active choices right now to secure a future, even though
39:39
we're all so tired and like, it's an endless list of to do's.
39:43
And it was funny because the aha moment didn't kick in until I
39:46
was at Davos in January and I was speaking on a panel around
39:50
security and AI and quantum and all that other jazz.
39:54
But I also had a chance to just listen and pop in and go and
39:57
learn and take notes. And like, the one key take away
40:00
was no one knows what to do. And the second key takeaways?
40:05
Everyone's paralyzed and making a choice because they don't know
40:07
what to do. But I think we cannot not make a
40:11
choice. We can't abdicate.
40:13
We can't like we have to make a choice of what we instinctly and
40:17
intuitively know is the right path.
40:19
And even though we're going to get pressures, because the
40:21
reality is we worked in enterprise, right?
40:22
Board of directors, executive leadership team, CEO is going to
40:25
be like, wait, so why haven't we reduced, you know, efficiency by
40:28
22%? Why have top line grown by 9%?
40:31
I don't understand why is it so complicated?
40:33
And we're going to have to give them a really brilliant story of
40:37
we need to keep hiring. Why are we hiring?
40:40
Because and tell them the story if it's actually going to cost
40:44
us more money in the future. Our governance system is based
40:47
on expertise. And we are going to be out of
40:48
experts in about 8 to 12 years. Like, by the way, we have
40:52
workforce folks who don't have judgement, critical thinking
40:55
because we're not giving them the pathway to gain that
40:57
experience. Like we have to be better
40:59
storytellers and we have to make choices even though we don't
41:02
know what we're doing yet because no one does.
41:04
And it was mentioned last night at dinner, The playbook is not
41:07
written, folks. There is no modernized text
41:10
stack or best practices. And like quite frankly, any
41:13
framework and model, we're seeing that shit's being made-up
41:17
on the fly. Let's call a spade a spade
41:22
because we don't know that our best guesstimates, maybe you'll
41:25
carry a six to nine months. But like, I was in a strategic
41:28
planning session three and five years and I almost checked out
41:33
and the CEO called me. He's like, Saul, is this not
41:35
entertaining for you? And I was like, I'm so sorry,
41:40
but how do we know what's going to happen in nine months?
41:43
So this is for me, I can build a beautiful deck and it's going to
41:47
be gorgeous vaporware for you. But the reality is, is I'm going
41:51
to need to react to and respond with prudence for you.
41:54
That's my value to you not making assumptions that may or
41:57
may not come true. Well, let's go through the
42:00
process because I know it's needed and we need to present to
42:02
the Board and the investors. Yeah, I think that's incredibly
42:06
well said. And I would I would say that a
42:09
lot of the answers I think for what you actually need to do are
42:12
buried in the spiritual text that we've kind of dogmatically
42:17
separated with the rise of the rational mind.
42:19
It's. Probably the most simplistic
42:20
instruction manual right now that we can.
42:22
Follow. Yes, because what humanity needs
42:25
to do at large is the heart has to conquer the head.
42:31
We've we've had such a rise of ego.
42:33
We've had such a rise of science.
42:35
I mean, we're all here as a product of science as well.
42:39
I mean, like all the conveniences that we have, you
42:43
know, are because of the rise of science, so many of them.
42:47
But there's also so much that we've used science for
42:52
algorithmic manipulation and social media algorithmic
42:55
manipulation and trying to constantly keep this in a fear
42:58
state with the business model of the media.
43:01
I'm a huge fan of the Free Press.
43:02
I'm talking about the constant dystopia push to us.
43:05
Like we've just think we're living in the dystopia and you
43:09
know, the pharmaceutical complex feeding off the opioid addicts
43:14
and making them addicted. I mean, that's why Brian Hubbard
43:18
and Governor Perry are doing what they're doing with
43:20
Americans Fry begin initiative to literally it started with
43:24
Brian Hubbard being in Kentucky and seeing these people die from
43:28
opioid addiction and how much it was just making those people
43:33
absolutely miserable and the whole complex was feeding off
43:37
them. And he's like, we need a pattern
43:38
to interrupt here. This is this is wrong.
43:41
And he's like, this is this is what's happening across, you
43:44
know, the poor parts of America. Hey bro.
43:48
So can we move into Q&A? Yeah, we can.
43:51
Yeah. Yeah, absolutely that point in
43:53
the Q&A, so. I want to ask and you and I have
43:55
talked about this. I mean, where do you get your
44:00
optimism that that these, you know, the leaders in Magnificent
44:06
7 are we're going to, are going to turn philanthropic or
44:10
magnanimous? Their wives certainly have when
44:13
they left them, but they have not.
44:16
And, you know, they have shown no willingness to share.
44:23
And, you know where. Where's Paul?
44:25
Paul, Paul, Zach and I were talking one day when we were
44:27
talking about, you know, men that are shooting up, overdosing
44:32
on testosterone, lose their capacity for empathy and
44:37
compassion. I think that's one of the
44:38
problems we have going on, not only Magnificent 7, but a lot of
44:42
people around the White House. But where does this where does
44:45
this optimism that they're going to become good guys?
44:49
Come. Well, I'll, I'll, I'll say where
44:50
it comes from me. I don't know if you you would
44:52
agree with this or not, but you know, for me, it's people like
44:56
Dario Modi writing a beautiful paper like that, like you wrote
45:00
recently on the adolescence of technology, Like that's a super
45:03
responsible, amazing thing to do.
45:06
It's people like Dimasus Ibis, you know, going on 60 minutes
45:11
and like really thoughtfully laying out like his plea and
45:15
prayer are going to Ted and his plea and prayer for how we make
45:18
it through. It's people like Eric Schmidt
45:21
working with Henry Kissinger. You know, you you mentioned that
45:24
Chris on on stage Genesis, the last chapter Genesis is Henry
45:29
Kissinger's dying prayer for humanity.
45:31
He passed away very, very shortly after completing that
45:35
writing. And you know, the Craig Mundy
45:39
working, he he's also a co-author of that book, Genesis
45:42
working with Thomas Friedman to come out with that New York
45:46
Times article to say, here's the one thing that the US and China
45:50
must agree on. And I agree, I cover that in my
45:52
book, that the US and China have to collaborate on AGI.
45:59
We cannot play the kind of nuclear weapons game with this.
46:03
And so I actually see, and I see people like, you know, Fifi Lee,
46:07
I mean, you know, Dario came from open AI and said there's a
46:12
better way. Mirror Murati came from open AI
46:16
and said there's a better way. So I, I think that they're going
46:21
to be forced to grow up pretty fast because they can feel deep
46:28
down the visceral fear that sell on like.
46:31
And Zuckerberg and Visa, they, they're.
46:35
I mean, I think, I think, I, I think that there's going to be
46:39
multiple models. I'm not saying they're all going
46:41
to like wake up and become conscious capitalist, but there
46:45
are models that are that are becoming that and there are
46:50
dollars following them. I mean, you know, Clawed by by
46:56
Anthropic is far younger than ChatGPT and it's catching up
47:01
very quickly revenue wise, very, very quickly.
47:04
I mean, talk about decisions. I built a lot of projects and
47:09
things with an open AI. It took me two weekends.
47:13
I officially transferred everything over to Claude and I
47:15
shut my subscription down with open AI.
47:19
I'm one. But if we get enough of the
47:21
like, if we get enough, right, like, yeah, yeah, exactly.
47:25
And that's how Claude rose up. Like people are understanding,
47:28
but. It's to your point on they have
47:30
agency, everybody has choice like.
47:32
And it comes down. That people made.
47:34
That choice and I think like connecting the dots between what
47:38
do we do next? Even in this room, like last
47:41
night during dinner, it was very intellectual conversation.
47:44
But it wasn't until I got to know about people's kids and
47:47
them graduating and accidentally buying 5 dresses and like, you
47:50
know, things like that where I felt people's hearts coming out
47:53
because they were touching to something they loved.
47:55
And if you think about the body, right, they say we're made of
47:57
four components, the physical set, our bodily functions, the
48:03
mindset, which is very over indexed, the soul set and then
48:08
the heart set we have over indexed on purely operating from
48:13
our mindset. If we can just pause and drop
48:16
into, and most of us actually don't even know how to do this
48:19
into our heart set. It's amazing.
48:21
The element of intuition and instinct that kicks in that the
48:26
data hasn't even caught up to yet.
48:29
That's where the choices need to be made.
48:31
And again, I have to put it out there.
48:33
I'm not the soft woo woo. You're not going to see me with
48:36
flowers in the hair. I am as results oriented, action
48:39
oriented, like I'm all about business growth, but I firmly
48:43
believe that there is a way to make profit and do it
48:45
consciously as well. And if more people can drop into
48:48
the heart set and make those decisions, you'd be amazed at
48:51
how much more precise we are, but how much better the long
48:54
term impacts. There's a major.
48:55
Rise in technology to do just that.
48:58
Like on on episode 9 of the podcast, I had John and Lauren
49:02
from Evolved Technologies, and one thing that's underestimated
49:06
is how this exponential curve is going to allow us to create
49:11
technologies like theirs. They left, he left Meta, and a
49:14
lot of the team members left Meta to create a system, a
49:19
hardware device where you can drop into that deep state to
49:23
open up the heart. And because we don't know how
49:25
we've been out of it for so long, and that takes practice.
49:29
OK, sure. Any questions?
49:33
I think we're all just burnt out to be honest.
49:35
Scott retired. I've got the mice.
49:37
Nancy, Oh my gosh. Hurt you.
49:41
It's good to see you, Nancy. Yeah.
49:43
So such a great talk. Thank you guys so much.
49:46
And you've kind of touched on this a bit, but I, I want to
49:48
give me a moment to kind of share a little bit more about
49:52
this. So, you know, there's some
49:53
really great things going on in AI that can like solve massive
49:57
problems for the world. And then there's the fear around
49:59
what's going to happen to the workforce and our future
50:02
generations. And when AI and robots take
50:04
over, what happens to humanity and.
50:06
It's really hard to. Separate those two things, but
50:10
we have a lot of leaders in the room.
50:12
And So what could we do? Like can you give us a checklist
50:18
of like things that we can do to try and move us towards more the
50:22
positive sides of AI versus what could end up happening?
50:26
And you know, I, I learned a lot about this.
50:28
I saw the AI doc on Saturday night.
50:30
It goes into all of this as well.
50:32
You just see it. Yeah, it's crazy, right?
50:34
This is like our last the line I love most from that
50:37
documentaries. This is the last great mistake
50:38
we get to make. I hope we have the maturity to
50:41
manage the very darn thing that we just built.
50:44
Yeah, for, for, for me, I mean, I cover this in the last chapter
50:47
of my book and the last chapters on the inner journey.
50:50
And I lay out like how to actually drop into your heart
50:54
and lead from the heart. And I think that there is a huge
50:57
rise underway in consciousness and really, you know, grappling
51:02
with what is the nature of consciousness.
51:03
I mean, last year Dan Brown came out with the Secret of Secrets.
51:09
Amazing book on this topic if you've read it.
51:12
The Tell Up the Tapes was at one point the most popular podcast.
51:17
Season 2 is fantastic. Michael Pollan's new book just
51:20
came out, it's called A World Appears.
51:23
Great book on the nature of consciousness.
51:25
Annika Harris, who's married to Sam Harris, came out with lights
51:28
on last year. So there's more and more of
51:31
these books, and all of them lead you down the same path of
51:36
spirituality, which is whatever it is, it's loving.
51:42
And we know that the alignment of the universe that we're in,
51:47
the reality that we're actually in, and it's in all the
51:50
spiritual text is that we're in a place we come from a place of
51:54
light and love. And we're here in this world of
51:57
forum. And we need to recognize that
52:00
that's the actual reality and that the more we continue to
52:04
lead from the ego and we lead from the mind, we will destroy
52:08
the world and we will not live a life of happiness.
52:12
Happiness is only found from the inside, is the only place.
52:16
There's no amount of external material accumulation that will
52:21
lead to lasting happiness. And so that's the path, I think
52:25
the arc that humanity is waking up to, because the younger
52:30
generation, their social media use is starting to decline.
52:33
Their alcohol use is falling off a Cliff.
52:36
They're, they're like neon, the Matrix.
52:37
They're like, look, we're not going to we're not going to put
52:40
up with this bullshit world you all have created where it's
52:44
profits over people. Enough is enough.
52:46
And I think AI is the ultimate forcing function to get humanity
52:50
to wake up. And what you refer to is the the
52:53
bend in the river in your book. Because I got the PDF version, I
52:55
got to read a little. But.
52:57
You would ask? For a checklist from my.
52:58
I asked. Oh yeah, of course.
53:01
So the checklist, I've done over 200 deployments in the course of
53:05
my 16 year AI career. The number one rule that I
53:09
always follow is always ask or I shouldn't say it.
53:14
Make sure you're outsourcing tasks and you're not outsourcing
53:17
critical thinking to artificial intelligence.
53:20
It's a non negotiable our brains are muscles.
53:23
If we don't use it, it atrophies.
53:26
So there is a potential for intellectual atrophy if we're
53:29
using it to do all the brainstorming, if we're using it
53:32
to write our emails, because we need to fine tune tonality.
53:35
Well, part of understanding and strengthening your soft skills
53:38
is understanding your very own tone and how you're coming
53:41
across. It takes some muscles, but you
53:43
have to study what's been rewritten so that you can get
53:45
better at the tonality. So outsource tasks, not critical
53:49
thinking. Don't develop a codependency on
53:52
artificial intelligence the way we have with GPS.
53:55
My running joke is we turn GPS even though we know where we're
53:59
going. The darn thing says turn left,
54:01
we turn left, turn right, we turn right.
54:03
For anyone's who've ever seen the Office, like they end up in
54:05
the middle of a lake and you know, we laugh about
54:08
hallucinations. And Chris mentioned up
54:10
hallucinations are a feature. They're not a bug because these
54:13
Frontier models were not trained to say, I don't know.
54:17
So like a lot of our PRP, a lot of our peers, they're going to
54:20
make stuff up, right? But we can call out our peers,
54:24
but we're not able to call out LLMS. So outsource tasks, not
54:28
critical thinking, be very careful if you see yourself
54:32
developing like a codependency on it, do not experience
54:34
intellectual atrophy. We have to introduce other
54:39
metrics in the measurement of success that are outside of
54:44
productivity and efficiency so that we can get into the world
54:47
from AI as being a cost cutting tactic to an augmentation
54:50
strategy of the existing workforce so that we can
54:53
exponentially do more with what we have.
54:56
And so introducing metrics like cultural ROI, relevancy, ROI
55:00
effectiveness, how much more effective are we?
55:03
How much more trust have we built?
55:04
There's other ways of defining success.
55:07
We have no choice but to double down on the very things that
55:09
make us human. Critical thinking, abstract
55:12
thinking, the ability to think independently, autonomously
55:16
relying on senses before we have the data to catch up, problem
55:19
solving. With all due respect, every
55:21
invention and novel idea came from humans.
55:24
So AI can simulate a lot and they can regurgitate what it
55:26
has, but the inventions come from us.
55:29
If we atrophy, we will not be able to come up with the
55:32
resolutions and we have no choice.
55:35
And we must invest in the early career individuals because
55:39
believe it or not, they're part of the answer to how we redesign
55:43
workflows of the future. It's just there because
55:46
sometimes we can't get out of our own way because we've been
55:48
doing our jobs for a really long time.
55:51
And so pivoting from tolerating to accepting.
55:55
I heard you. We just got to go there.
55:59
That was a beautiful way to close, ladies and gentlemen,
56:02
Saul Rashidi, it's amazing. Thank you.