Generation AI: Why Coding, College Degrees and Slow CEOs Are on the Clock with Matt Britton

WEBVTT
1
00:00:00.290 --> 00:00:06.832
A lot of big companies are run by CEOs in the late 50s, early 60s with golden parachutes that just don't want to shake things up.
2
00:00:07.072 --> 00:00:10.813
And that leadership might be okay for them because they're going to be retired in five years.
3
00:00:10.853 --> 00:00:17.095
But for the rest of the company, they're going to be in such a disadvantaged place because of the lack of change that's been embraced.
4
00:00:19.761 --> 00:00:21.942
You don't win by following the playbook.
5
00:00:22.323 --> 00:00:24.404
You win by rewriting it.
6
00:00:25.204 --> 00:00:29.867
700 episodes deep with the people who actually built something real.
7
00:00:30.367 --> 00:00:31.088
No theory.
8
00:00:31.548 --> 00:00:32.308
No fluff.
9
00:00:32.909 --> 00:00:33.909
No shortcuts.
10
00:00:34.530 --> 00:00:37.952
This is Right About Now with Ryan Alford.
11
00:00:40.683 --> 00:00:41.644
What's up, guys?
12
00:00:41.804 --> 00:00:43.185
Welcome to Right About Now.
13
00:00:43.245 --> 00:00:45.866
We're always talking about what's now, what's right.
14
00:00:45.886 --> 00:00:51.790
Because, hey, that's what we do here on your number one marketing and business show on Apple Podcasts.
15
00:00:51.870 --> 00:00:53.291
We appreciate you for making that.
16
00:00:53.331 --> 00:00:54.171
Can you believe it?
17
00:00:54.271 --> 00:00:54.912
I can believe it.
18
00:00:54.932 --> 00:00:55.732
I'm a big fan.
19
00:00:55.832 --> 00:00:56.213
Thank you.
20
00:00:56.233 --> 00:00:56.893
We appreciate it.
21
00:00:56.913 --> 00:00:57.834
We've got Matt Britton.
22
00:00:57.854 --> 00:01:00.555
He is the author of Generation AI.
23
00:01:00.575 --> 00:01:03.257
There's nothing more right now than AI.
24
00:01:03.417 --> 00:01:04.858
Matt, I hope to have you on, Matt.
25
00:01:04.898 --> 00:01:05.958
Yeah, I'm pumped to be here.
26
00:01:06.158 --> 00:01:09.579
Generation AI made very clever titles.
27
00:01:09.619 --> 00:01:11.140
Like, has no one thought of that yet?
28
00:01:11.160 --> 00:01:12.800
You got Generation Alpha, all this.
29
00:01:13.021 --> 00:01:14.381
I have so many things in my head.
30
00:01:14.401 --> 00:01:18.822
I mean, I've kind of contained myself a little bit, Matt, because I know you're a wealth of knowledge on this topic.
31
00:01:18.882 --> 00:01:20.463
But man, Fortune 500 companies...
32
00:01:21.003 --> 00:01:21.924
Let's set the table.
33
00:01:22.104 --> 00:01:24.426
We can do the whole what you've done, how you've done it.
34
00:01:24.526 --> 00:01:28.309
But let's lead up to today a little bit of who the hell Matt Britton is.
35
00:01:28.429 --> 00:01:32.813
I've spent my entire career helping large companies kind of decode the new consumer.
36
00:01:32.933 --> 00:01:40.419
When I first came out into the workplace, the new consumer was Generation Y, which is known as the millennials, who is the internet generation.
37
00:01:40.459 --> 00:01:42.741
That was the first generation to grow up with the internet in the household.
38
00:01:42.781 --> 00:01:43.382
A lot of people don't
39
00:01:45.383 --> 00:01:50.267
is only really 25 years old in terms of being a mainstream consumer consumption tool.
40
00:01:50.367 --> 00:01:53.730
Before that, it was used in government and very sparsely in business.
41
00:01:53.790 --> 00:01:55.791
But we're still in the early days of the internet itself.
42
00:01:55.971 --> 00:02:04.958
Then over time, it became Gen Z. Gen Z is known as the iPhone generation, the social media generation, the first generation to grow up with both in a household, which obviously changed society in a big way.
43
00:02:05.058 --> 00:02:07.260
And now it's Gen Alpha, which is the AI generation.
44
00:02:07.320 --> 00:02:08.601
Right now, Gen Alpha is age zero to 15.
45
00:02:08.621 --> 00:02:09.902
They are never going to be a big one.
46
00:02:10.022 --> 00:02:13.543
going to know a world without AI, a world without technology that you can talk to.
47
00:02:13.643 --> 00:02:18.183
So with each of these major changes, what I found is large companies first push it off.
48
00:02:18.263 --> 00:02:19.924
They try to say it's just a fad.
49
00:02:20.044 --> 00:02:22.864
And then over time, they either adapt or they get run over.
50
00:02:22.984 --> 00:02:32.106
And that's kind of been the theme throughout my career is trying to help companies not get run over to try to make the needed changes to disrupt themselves from the inside out so it doesn't happen to them.
51
00:02:32.146 --> 00:02:32.386
Yeah.
52
00:02:32.446 --> 00:02:37.547
The irony is when you were just talking mad, maybe thinking of something like with the internet and smartphones or everything.
53
00:02:37.647 --> 00:02:39.928
We've really had AI in our pocket for a while.
54
00:02:40.088 --> 00:02:49.132
We can call it AI now, but the moment we had a Google browser that we could search for knowledge and it feed it back to us, that was artificial intelligence, right?
55
00:02:49.272 --> 00:02:49.492
Right.
56
00:02:49.633 --> 00:02:54.955
A computer is breaking down tons of articles, knowledge that's out there, and giving you back the best results.
57
00:02:55.135 --> 00:02:56.416
Yeah, that was an algorithm.
58
00:02:56.636 --> 00:03:06.240
And yes, AI, you're right, has been around like if you think about Netflix, and it tells you what it thinks you want to watch, or Spotify shows you the music it thinks you're gonna like that is AI.
59
00:03:06.380 --> 00:03:10.402
It's also true that the internet existed before America Online came out.
60
00:03:10.482 --> 00:03:15.469
But it wasn't until ChatGPT came out that AI was really unleashed to the masses.
61
00:03:15.709 --> 00:03:18.673
And the true power of what it can do was unleashed.
62
00:03:18.793 --> 00:03:24.320
And that's why we've seen such an incredible groundswell of interest and innovation come out since then.
63
00:03:24.400 --> 00:03:24.701
Yes.
64
00:03:25.021 --> 00:03:26.263
And I do this a lot.
65
00:03:26.283 --> 00:03:28.426
I think as you get older, I hopefully get wiser.
66
00:03:28.606 --> 00:03:35.228
I try to think outside of my own realm because I recognize I've been a marketer, an innovator and new media guy.
67
00:03:35.308 --> 00:03:40.070
And I can sometimes realize that I'm in the know at a high level on certain things.
68
00:03:40.090 --> 00:03:44.332
And I always want to go, how aware are people of certain things?
69
00:03:44.632 --> 00:03:49.794
And with AI in particular, I've been kind of trying to sound the board a little bit, too.
70
00:03:49.954 --> 00:03:53.155
Not as eloquently as your book, but just saying, hey, we need it.
71
00:03:53.215 --> 00:03:53.615
This is happening.
72
00:03:53.615 --> 00:03:54.175
happening.
73
00:03:54.195 --> 00:03:56.377
You need to know what is going on.
74
00:03:56.457 --> 00:04:02.101
What's your guesstimate or estimate, Matt, on the percentage of people that know how much they should know about AI?
75
00:04:02.181 --> 00:04:06.023
On one hand, ChatGBT, I think, has 100 million paid users right now.
76
00:04:06.143 --> 00:04:07.544
That's pretty mainstream.
77
00:04:07.624 --> 00:04:12.788
It got to 1 million, 10 million, and 100 million users faster than any other technology product in history.
78
00:04:12.848 --> 00:04:21.814
But on the other hand, when I speak at conferences all around the world, and I ask people pretty rudimentary questions about AI and its capabilities, people really don't have a clue.
79
00:04:21.954 --> 00:04:30.698
The reality is most people who do know about AI think AI is just chat GPT asking it to make a recipe for lasagna or to write a blog post for you.
80
00:04:30.838 --> 00:04:32.239
And they just understand the surface.
81
00:04:32.579 --> 00:04:37.442
And I think even the percentage of people that understand the surface is probably not as much as we would think.
82
00:04:37.462 --> 00:04:37.882
And you're right.
83
00:04:37.942 --> 00:04:41.384
We do suffer from Stockholm syndrome, so to speak, like we are in the inside of it.
84
00:04:41.464 --> 00:04:45.826
But when you get out there, you really realize that it is such the early days.
85
00:04:45.986 --> 00:04:48.707
And the thing about AI is different than other technologies.
86
00:04:48.767 --> 00:04:50.508
It's just the rate of change is mind boggling.
87
00:04:50.648 --> 00:05:02.100
Even people like myself that spend the majority of their waking hours in AI, it's so hard to keep up because its ability to increase its compute power is unlike anything we've ever seen before.
88
00:05:02.260 --> 00:05:04.062
Yeah, that's the part that's crazy.
89
00:05:11.111 --> 00:05:12.351
The speed of advancement.
90
00:05:12.371 --> 00:05:17.572
Some of these things we feel like happened overnight, but it was actually like a 10 year thing, you know, to be like maximized.
91
00:05:17.753 --> 00:05:22.714
And now with AI and agentic AI, which I want to pick your brain on, we'll get to that.
92
00:05:22.774 --> 00:05:24.214
But then we'll start with 101.
93
00:05:24.254 --> 00:05:26.715
We'll build the 401 to use the textbook, Matt.
94
00:05:26.795 --> 00:05:28.675
But it's crazy how fast it's moving.
95
00:05:28.715 --> 00:05:30.375
And I do want to pick your brain on that as well.
96
00:05:30.395 --> 00:05:31.876
I've got my earmarked topics.
97
00:05:32.016 --> 00:05:32.256
Okay.
98
00:05:32.296 --> 00:05:37.057
Agentic AI and then the energy consumption and what it takes to go to some of these next levels is
99
00:05:37.297 --> 00:05:38.918
All of that where it needs to be.
100
00:05:39.078 --> 00:05:39.899
The infrastructure.
101
00:05:40.039 --> 00:05:40.820
Hold on to a discussion.
102
00:05:40.900 --> 00:05:42.461
Let's talk the book in general.
103
00:05:42.521 --> 00:05:44.542
What are we trying to tell people with this book?
104
00:05:44.622 --> 00:05:46.483
What are people absorbed from this?
105
00:05:46.603 --> 00:05:51.667
The book is a societal view of what I believe AI's impact is going to be.
106
00:05:51.847 --> 00:05:56.110
Not just AI, but the fact that we have this new generation coming in that knows nothing but AI.
107
00:05:56.150 --> 00:05:56.410
AI.
108
00:05:56.570 --> 00:06:03.017
Because when you have new generations come in whose brains are hardwired differently, they become the catalyzing force for change.
109
00:06:03.317 --> 00:06:12.646
And what the book really tried to communicate is AI's broader impact as a result of both Gen Alpha and this new technology on business, culture, and society.
110
00:06:12.866 --> 00:06:25.675
And I kind of go deep into a variety of different temples and pillars of society, whether it's the future of the workforce and careers, love and relationships, parenting and education, entertainment and media and commerce.
111
00:06:25.755 --> 00:06:29.577
The main drivers of culture and business are going to be shaken to their very core.
112
00:06:29.878 --> 00:06:37.863
And I try to go deep into each of those topics so people really understand the gravity of the shift that is about to really rock society.
113
00:06:38.043 --> 00:06:38.283
Yeah.
114
00:06:38.503 --> 00:06:41.545
I've heard myself probably the last year make this comment.
115
00:06:41.585 --> 00:06:42.446
I've heard other people...
116
00:06:42.586 --> 00:06:42.926
Say it.
117
00:06:42.946 --> 00:06:47.210
Let's make sure today, with the fastest things are changing, that you think it's true or not, Matt.
118
00:06:47.370 --> 00:06:49.332
AI is definitely going to take jobs.
119
00:06:49.532 --> 00:06:50.092
It already has.
120
00:06:50.453 --> 00:06:51.153
It already has.
121
00:06:51.393 --> 00:06:53.215
And you're seeing layoffs that impact it.
122
00:06:53.355 --> 00:06:57.639
But those that can use it the best are in a decent position.
123
00:06:57.719 --> 00:06:58.759
Is that a fair statement?
124
00:06:58.799 --> 00:07:00.000
They're in an amazing position.
125
00:07:00.061 --> 00:07:09.068
I think that if you are a star, and we can get into what it means for entertainment, but if you're a star in Hollywood or if you're a star in the boardroom, you're going to be 10x your impact.
126
00:07:09.168 --> 00:07:13.650
And if you're an extra on a movie set or an extra in the office, you're going to be out of work.
127
00:07:13.850 --> 00:07:21.894
And that's sort of the analogy I like to give is that if you have IP value, if you have an audience, if you're creative, a lot of the things, frankly, you possess, right?
128
00:07:22.294 --> 00:07:28.837
You can leverage AI to create more content, to talk to people on a more personalized basis, to be more efficient and effective.
129
00:07:28.957 --> 00:07:46.905
But if you come into work every day waiting to be told what to do, and you're in a deterministic role where basically you move paper from one hallway to the other, or you're entering data, or you're just responding to queries, that's exactly what AI is now capable of doing in a way that arguably is better than humans are.
130
00:07:47.005 --> 00:07:55.427
And if you are in one of those roles, you really need to have a complete change of course in terms of what you see as the future of your career or you're not going to have one.
131
00:07:55.527 --> 00:07:58.488
And that's a hard truth to swallow that many people are avoiding.
132
00:07:58.688 --> 00:08:00.588
But one I really tried to head on in the book.
133
00:08:00.688 --> 00:08:01.849
Talking with Matt Ritten.
134
00:08:02.009 --> 00:08:04.149
He is the author of Generation AI.
135
00:08:04.249 --> 00:08:07.010
Matt, I have four boys and I told them the trade skills.
136
00:08:07.411 --> 00:08:09.293
is actually going to get more valuable, I think.
137
00:08:09.313 --> 00:08:09.553
Shoot.
138
00:08:10.014 --> 00:08:10.635
In the short term.
139
00:08:10.675 --> 00:08:12.297
That's kind of what you're hinting at a little bit.
140
00:08:12.357 --> 00:08:24.592
If you're not wanting to be a white-collar guy that's tech forward using these things, everything you said, boardroom, executive, whatever that is, but at a high level, then get really good at a skills trade.
141
00:08:24.712 --> 00:08:25.253
You know, like...
142
00:08:25.433 --> 00:08:27.997
become the best builder, plumber, whatever it might be.
143
00:08:28.097 --> 00:08:33.565
We've had this knowledge economy for so long where people were compensated for possessing knowledge.
144
00:08:33.805 --> 00:08:39.714
And that could be knowledge and knowing how to code, knowing how to write a contract, knowing how to read an x-ray, knowing how to do someone's taxes.
145
00:08:40.355 --> 00:08:43.516
All things that AI is going to take the place of workers for.
146
00:08:43.596 --> 00:08:49.797
AI arguably can already do your taxes better, write a contract better in most use cases than the professional services world can.
147
00:08:49.877 --> 00:08:55.458
If you're not going to be a builder in AI and be a problem solver in AI, then AI will disintermediate you.
148
00:08:55.478 --> 00:09:03.359
At the same time, what you've aptly pointed out is, if you're a problem solver in the physical world, that that becomes a skill set that becomes even more in demand.
149
00:09:03.539 --> 00:09:06.980
So yes, the trade skills, I think, are going to have a boom and they already are.
150
00:09:07.060 --> 00:09:07.940
The issue is that,
151
00:09:08.220 --> 00:09:16.867
Many parents aspire to send their kids to these higher education institutions that are predicated on facilitating the knowledge economy.
152
00:09:16.967 --> 00:09:21.711
And they're teaching kids skills that I would argue are going to be no longer relevant once they get out.
153
00:09:21.851 --> 00:09:30.178
I spoke at the end of last year from 700 college professors who kind of know this and are just mind boggled about what it means to be an educator in this world.
154
00:09:30.198 --> 00:09:33.981
When they're using textbooks that were written long before ChatGPT ever even came out.
155
00:09:34.181 --> 00:09:35.662
I had this discussion with my ex-wife.
156
00:09:35.782 --> 00:09:37.123
We have a good relationship.
157
00:09:37.143 --> 00:09:39.365
And we had two boys together, four now.
158
00:09:39.445 --> 00:09:43.770
And I had this exact discussion with her, but it didn't last very long because she doesn't get it.
159
00:09:43.870 --> 00:09:45.992
And I love her, the mother of my children.
160
00:09:46.092 --> 00:09:48.134
I'm remarried, happily remarried for 10 years.
161
00:09:48.154 --> 00:09:53.819
I was having this discussion with them that the universities that we know it is like, I'm not opposed to them going to college.
162
00:09:53.999 --> 00:09:57.002
It's just I'm opposed to them going to what college is right now.
163
00:09:57.122 --> 00:09:58.583
Because it's a waste of time.
164
00:09:58.683 --> 00:10:00.985
I'm fine with getting the social skills, team skills.
165
00:10:01.045 --> 00:10:01.745
That's still by it.
166
00:10:01.805 --> 00:10:03.606
But the learning is so antiquated.
167
00:10:03.647 --> 00:10:04.387
That's just knowledge.
168
00:10:04.447 --> 00:10:05.908
Memorization of knowledge.
169
00:10:06.048 --> 00:10:10.271
And it's not because we as humans should stop learning, but it's so antiquated.
170
00:10:10.451 --> 00:10:12.953
Learning isn't memorization and regurgitation.
171
00:10:13.013 --> 00:10:15.815
When we went to school, you didn't even have to pay attention during class.
172
00:10:15.875 --> 00:10:21.419
If you can cram information the night before and spit it out the next day, you would get a good grade in a test and seen as a good student.
173
00:10:21.479 --> 00:10:23.100
But now knowledge is commoditized.
174
00:10:23.180 --> 00:10:25.982
The notion of learning is no longer memorization.
175
00:10:26.143 --> 00:10:35.150
It's really understanding some core new soft skills that I think will become the skills in the workforce, which are creativity, problem solving, critical thinking.
176
00:10:35.190 --> 00:10:36.411
That's really what matters.
177
00:10:36.511 --> 00:10:38.353
You think of, for example, graphic design.
178
00:10:38.533 --> 00:10:47.960
A graphic designer to date has been heavily compensated for the ability to turn the knobs and dials to take basically an image and change the shadows or the lighting or make it look a certain way.
179
00:10:48.100 --> 00:10:50.561
Right now, if you give AI a prompt, it can do that.
180
00:10:50.682 --> 00:10:52.203
So what does that mean for a graphic designer?
181
00:10:52.283 --> 00:10:57.366
It means a graphic designer is no longer going to be rewarded for understanding how to use the knobs and dials.
182
00:10:57.526 --> 00:11:00.508
It's gonna be rewarded on knowing what to tell AI to design.
183
00:11:00.668 --> 00:11:07.033
So it's much more about understanding the problems that need to be solved versus knowing how to solve the problem.
184
00:11:07.133 --> 00:11:15.941
So knowing how to solve the problem is memorization and skills, but knowing the problems that need to be solved, being strategic, that's where the huge opportunities lie moving forward.
185
00:11:16.062 --> 00:11:18.464
Either the greatest or worst analogy I've ever had.
186
00:11:18.624 --> 00:11:19.905
I'm going to go down this road, Matt.
187
00:11:19.985 --> 00:11:22.007
You can be as critical as you need.
188
00:11:22.027 --> 00:11:24.249
If it works, you can tell me it works.
189
00:11:24.329 --> 00:11:26.211
If you're like, yeah, right, put this in the bag.
190
00:11:26.251 --> 00:11:26.912
We used to cook.
191
00:11:27.052 --> 00:11:29.433
by rubbing flint together to get a fire.
192
00:11:29.453 --> 00:11:30.993
The skill of starting that.
193
00:11:31.133 --> 00:11:34.354
And then in today's world, we have microwaves.
194
00:11:34.554 --> 00:11:38.315
The equivalent that I'm thinking, ah, I still know how to start this with flint.
195
00:11:38.335 --> 00:11:39.035
Well, that's great.
196
00:11:39.155 --> 00:11:42.196
I'm using this microwave so I can cook four other things while it's going on.
197
00:11:42.296 --> 00:11:43.356
Is that a good analogy?
198
00:11:43.416 --> 00:11:44.197
That's a good analogy.
199
00:11:44.237 --> 00:11:46.517
The best analogy I use is photography.
200
00:11:46.577 --> 00:11:49.518
You used to need to know how to develop the film to be a photographer.
201
00:11:49.718 --> 00:11:55.382
You used to need to know how to operate these technical DSLR cameras and knowing stuff like ISO and F-stop.
202
00:11:55.422 --> 00:11:58.544
And now 99.9% of all pictures are taken on the iPhone.
203
00:11:58.624 --> 00:12:01.986
And you just need to know where to point the thing to and pick a filter and how it looks.
204
00:12:02.026 --> 00:12:06.529
Now, are there still use cases for professional photographers for weddings, for special events?
205
00:12:06.809 --> 00:12:07.129
Sure.
206
00:12:07.269 --> 00:12:08.109
Are they dwindling?
207
00:12:08.410 --> 00:12:08.650
Yes.
208
00:12:09.030 --> 00:12:14.312
What makes a great photographer right now is not knowing the technical skills of how to turn the knobs and dials, how to develop film.
209
00:12:14.392 --> 00:12:16.393
It's actually having an eye on where to point the camera to.
210
00:12:16.493 --> 00:12:20.194
And AI is the ultimate analogy for that, is where do you point AI?
211
00:12:20.294 --> 00:12:21.675
How do you unleash its power?
212
00:12:21.795 --> 00:12:26.097
You no longer need to know how to do the knobs and dials because that's all beneath the surface.
213
00:12:26.257 --> 00:12:26.617
Yes.
214
00:12:26.937 --> 00:12:29.279
I think I took you one step, you took nine more.
215
00:12:29.480 --> 00:12:32.262
One day, one thing we're going to see is a boom in robotics.
216
00:12:32.523 --> 00:12:34.525
AI has evolved incredibly fast.
217
00:12:34.605 --> 00:12:40.170
The hardware side of AI hasn't, and that's just because of the physicality of hardware and the development cycles are longer.
218
00:12:40.210 --> 00:12:46.537
But what's going to start to happen is you're going to see a new range of hardware, whether it's toys that kids can talk to.
219
00:12:46.717 --> 00:12:47.978
I'm sure you've seen the movie Ted.
220
00:12:47.998 --> 00:12:49.880
Kids are going to be able to talk to their toys.
221
00:12:50.080 --> 00:12:51.901
And they're going to remember things about the kid.
222
00:12:51.922 --> 00:12:53.403
And they're going to be friends with their toys.
223
00:12:53.663 --> 00:12:55.144
Sounds crazy, but they will.
224
00:12:55.224 --> 00:12:56.965
And you're going to have robotics in the household.
225
00:12:57.006 --> 00:13:00.068
And at first, robotics are going to mow your lawn and maybe cook for you.
226
00:13:00.128 --> 00:13:01.929
But over time, it's going to take your kids to school.
227
00:13:02.029 --> 00:13:05.832
If you think about it, autonomous vehicles, robo taxis are basically that.
228
00:13:05.953 --> 00:13:09.816
But there's just going to be a robot inside that's going to hold your kid's hand and walk them to school.
229
00:13:09.936 --> 00:13:11.457
We are going in that direction.
230
00:13:11.577 --> 00:13:19.143
Robotics are going to be taking over society in three to five years as soon as the hardware cycle catches up with the incredible software cycle of AI.
231
00:13:19.223 --> 00:13:21.946
Yeah, it's going to be interesting what happens with like the smartphone.
232
00:13:22.026 --> 00:13:24.449
Early in my career, middle of my career, what do you want to call it?
233
00:13:24.469 --> 00:13:25.850
I'm still in the middle of my career, Matt.
234
00:13:25.991 --> 00:13:27.292
Yeah, man, I'm young guy.
235
00:13:27.432 --> 00:13:34.440
So I tell myself, worked with Steve Jobs teams on the first iPhone launch with Verizon and AT&T and all the other wireless companies.
236
00:13:34.640 --> 00:13:35.661
with Motorola.
237
00:13:35.681 --> 00:13:41.405
Then we had all these new innovations happening on the device and that cycle is slow.
238
00:13:41.585 --> 00:13:42.946
There's not a lot of innovation.
239
00:13:43.046 --> 00:13:45.587
It's just better battery, slightly better camera, slightly thinner.
240
00:13:45.607 --> 00:13:45.968
That's it.
241
00:13:46.268 --> 00:13:46.868
Exactly.
242
00:13:46.988 --> 00:13:56.034
That's going to be transformed with hardware, like you're saying, that's lagged with fully integrating this and voice and all that stuff, right?
243
00:13:56.074 --> 00:13:56.575
100%.
244
00:13:56.635 --> 00:14:00.137
I thought a lot about hardware because I have this device called Limitless, which is
245
00:14:01.458 --> 00:14:03.419
you can either wear or like put on your laptop.
246
00:14:03.519 --> 00:14:08.463
And when I'm in the office, I use it and it records every single thing that everybody says during the day.
247
00:14:08.663 --> 00:14:14.387
At the end of the day, it gives me summaries of what I said I would do, creates a to-do list for me, even adds things to my calendar, right?
248
00:14:14.407 --> 00:14:15.908
So it's listening at all points.
249
00:14:15.948 --> 00:14:17.749
It almost performs like a second brain.
250
00:14:17.869 --> 00:14:22.753
And over time, I can go back and say, what did I tell Joe that I would do when we met a couple of weeks ago?
251
00:14:22.853 --> 00:14:23.993
And we'll know it instant.
252
00:14:24.054 --> 00:14:27.616
That's one kind of early marker of the future of hardware is a device like that.
253
00:14:27.696 --> 00:14:33.017
if you think about the AirPods, the AirPods are one day and whether Apple makes or another company is going to have a camera in them.
254
00:14:33.097 --> 00:14:34.258
So it's going to see what you're seeing.
255
00:14:34.378 --> 00:14:37.078
It's going to be able to obviously listen to you and you're gonna be able to hear.
256
00:14:37.218 --> 00:14:39.979
So with those devices, the only thing that's missing is a screen.
257
00:14:39.999 --> 00:14:43.560
Because once you have the screen, you basically replicate everything the iPhone does.
258
00:14:43.580 --> 00:14:49.962
People can say, what about a keyboard and voice recognition is getting so good that I'm not sure we're going to be typing for that much longer.
259
00:14:50.182 --> 00:14:53.483
And if we're not typing for that much longer, should kids even be taught to spell?
260
00:14:53.543 --> 00:14:54.523
How do you get the screen?
261
00:14:54.583 --> 00:14:54.963
Well, if you
262
00:14:55.103 --> 00:14:59.246
see what Meta and Mark Zuckerberg are doing with their Meta Gray Band glasses.
263
00:14:59.326 --> 00:15:03.309
They're creating mixed reality, where if you're wearing sunglasses, you can see a screen that's overlaid.
264
00:15:03.329 --> 00:15:07.533
If you're wearing glasses and you have AirPods, it basically can replicate what the iPhone does.
265
00:15:07.613 --> 00:15:10.055
The question is, what is the future going to just be wearables?
266
00:15:10.255 --> 00:15:14.538
And we're going to be looking back at a time where we're holding up our phone all day as kind of like ancient history.
267
00:15:14.618 --> 00:15:15.259
I think we will.
268
00:15:15.459 --> 00:15:17.100
Our contacts and glasses.
269
00:15:17.440 --> 00:15:19.782
And you'll have probably built into the contacts.
270
00:15:19.822 --> 00:15:20.723
Well, that can be built.
271
00:15:20.903 --> 00:15:22.124
That's the ultimate payoff.
272
00:15:22.164 --> 00:15:29.568
A lot of people say, well, the technology is not there, but it wouldn't surprise me in years from now if contact lenses is the ultimate device because that can do everything.
273
00:15:29.588 --> 00:15:30.989
That will give you the screen overlay.
274
00:15:31.029 --> 00:15:36.473
And then we're going to be moving towards singularity, which Ray Kurzweil wrote about, which is the merging of man and machine.
275
00:15:36.693 --> 00:15:38.394
Scary, but we're heading in that direction.
276
00:15:38.554 --> 00:15:48.039
Yeah, I'll go down one layer further, but like the Matrix in a world where your eyes see what the computer screen is and what that world is.
277
00:15:48.259 --> 00:15:54.102
If you're watching the YouTube video, which you should be to see how good looking that Britain is, the author of Generation AI.
278
00:15:54.222 --> 00:15:57.163
I'm doing this like the physical world that I'm in.
279
00:15:57.223 --> 00:15:58.724
Does it matter where I am?
280
00:15:58.804 --> 00:16:05.427
Can I be in a ditch in Cambodia as long as my contact lenses are showing me a reality that I want?
281
00:16:05.467 --> 00:16:10.795
Well, that's why, you know, the Apple Vision Pro came out, which is these kind of immersive, they look like ski goggles that you wear.
282
00:16:10.895 --> 00:16:11.716
Have you ever tried it before?
283
00:16:11.796 --> 00:16:12.137
I have.
284
00:16:12.257 --> 00:16:14.260
Got a little dizzy, but I saw the future.
285
00:16:14.340 --> 00:16:15.101
You saw, exactly.
286
00:16:15.121 --> 00:16:15.902
And you put those on.
287
00:16:15.962 --> 00:16:20.749
And if you watch a movie or, you know, a sporting event, it's like you're there and you could just be sitting on an airplane.
288
00:16:20.929 --> 00:16:22.710
Obviously, there are some issues with that.
289
00:16:22.810 --> 00:16:25.311
Like you said, you got dizzy and removes you from reality.
290
00:16:25.391 --> 00:16:27.231
But we're slowly inching towards it.
291
00:16:27.311 --> 00:16:30.753
I think 10 years from now, we're going to look back and all say to each other, how did we get here?
292
00:16:30.893 --> 00:16:32.954
How is this world so completely different?
293
00:16:33.314 --> 00:16:36.815
Over the last year or two is when that all started to change.
294
00:16:36.975 --> 00:16:41.280
kind of become in a stage of evolution where we're at the end of one cycle.
295
00:16:41.480 --> 00:16:48.287
I would call it like the digital revolution that started with the internet and included social media and included the iPhone and cloud computing.
296
00:16:48.327 --> 00:16:54.093
We're starting a completely new evolution, technological revolution in society that's being powered by AI.
297
00:16:54.153 --> 00:16:56.656
It's going to take us to places that we've never imagined before.
298
00:16:56.736 --> 00:17:00.079
You brought up the interesting thought of do we learn to read?
299
00:17:00.219 --> 00:17:01.700
Is it a waste of time to be learning math?
300
00:17:01.800 --> 00:17:04.362
If the computer does it for you, why do we need a math?
301
00:17:04.422 --> 00:17:12.148
There was a time when people would say you're crazy if, to hear some of your points earlier, if you didn't learn how to milk a cow growing up or how to create fire.
302
00:17:12.349 --> 00:17:16.852
Reading and spelling is important because it's probably the foundation of how we communicate.
303
00:17:16.892 --> 00:17:25.319
But when you talk about math or calculus or trigonometry, these advanced theories of mathematics, these are things that humans just aren't going to have to do anymore.
304
00:17:25.379 --> 00:17:27.500
I would actually put coding in that territory.
305
00:17:27.520 --> 00:17:31.462
If you look at open coding jobs in the United States, it's dropped like a stone.
306
00:17:31.602 --> 00:17:38.545
Companies are not hiring engineers anymore because AI knows how to code quicker, better, faster than humans.
307
00:17:38.585 --> 00:17:42.007
And if it's not 100% there today, I promise you it'll be there a year from now.
308
00:17:42.107 --> 00:17:48.250
Coding is really not a skill humans arguably were ever supposed to learn because it's not human language, it's computer language.
309
00:17:48.390 --> 00:17:55.336
And now AI is going to be able to, based on any prompt, create any technology-driven product, software-driven product you want just through a simple prompt.
310
00:17:55.476 --> 00:18:02.121
So that's a perfect example of something that people probably won't have to learn for much longer because basically it's all going to be done for you.
311
00:18:02.181 --> 00:18:04.543
So I would put math in that same category.
312
00:18:04.663 --> 00:18:08.946
Now, there's a critical thinking component behind math, understanding how to solve the problem.
313
00:18:09.087 --> 00:18:11.168
And maybe math is more of a means to an end.
314
00:18:11.368 --> 00:18:12.509
And maybe it always was.
315
00:18:12.649 --> 00:18:14.311
But I think it's a really interesting point.
316
00:18:22.512 --> 00:18:24.533
This episode is brought to you by HighLevel.
317
00:18:24.834 --> 00:18:28.516
Make sure to check out the link in the show notes to sign up for your 14-day free trial.
318
00:18:28.817 --> 00:18:32.339
If you run a business, you know leads rarely arrive when it's convenient.
319
00:18:32.619 --> 00:18:35.021
A call comes in while your team is helping another customer.
320
00:18:35.321 --> 00:18:43.287
If someone reaches out, but the follow-up gets delayed, an invoice sits unsent, or a promising lead gets stuck in the wrong stage of your pipeline.
321
00:18:43.567 --> 00:18:48.750
I've built enough businesses to know that growth has a way of exposing every gap in your systems.
322
00:18:49.030 --> 00:18:53.513
That's why High Levels Voice AI and managed AI agents caught my attention.
323
00:18:53.833 --> 00:19:02.798
High Levels Voice AI can answer incoming calls, qualify leads using information from your website or uploaded documents, and even book or reschedule appointments.
324
00:19:03.039 --> 00:19:08.742
When your team is busy, Voice AI can keep that conversation moving instead of letting a potential customer slip away.
325
00:19:09.062 --> 00:19:14.627
Then High Level's managed AI agents can handle multi-step actions across your CRM.
326
00:19:14.907 --> 00:19:21.734
They can update pipeline stages, send invoices, and execute follow-up sequences across SMS, email, and social.
327
00:19:22.014 --> 00:19:28.400
That means fewer repetitive tasks for your team and a more consistent process for every lead coming into the business.
328
00:19:28.560 --> 00:19:31.463
For me, the real value of AI isn't adding another complicated tool.
329
00:19:31.663 --> 00:19:39.432
It's using technology to handle the work that slows your team down so your people can focus on building relationships, serving customers, and growing the business.
330
00:19:39.772 --> 00:19:46.700
If you're ready to create better systems and get more from every opportunity, use the link in the show notes to sign up for your 14-day free trial.
331
00:19:47.470 --> 00:19:52.392
You went there, my mental gymnastics were working at least a little lagging.
332
00:19:52.432 --> 00:19:55.753
If you're the thoroughbred out in front, I was just a little behind you going.
333
00:19:55.853 --> 00:20:02.596
I think maybe it was never about solving the problem, more about using your brain and thinking, forcing the synapses to fire off.
334
00:20:02.616 --> 00:20:03.456
Well, that's a skill set.
335
00:20:03.516 --> 00:20:04.977
I run a software company called Suzy.
336
00:20:05.037 --> 00:20:14.100
We have 250 employees and the employees that will be with me as long as they want to be with me are going to be the ones that come into work every day and look for problems to solve.
337
00:20:14.180 --> 00:20:17.041
not the ones who come into work every day and wait to be told what to do.
338
00:20:17.222 --> 00:20:19.283
And that's that problem-solving mentality.
339
00:20:19.303 --> 00:20:27.327
And if you combine that agency and problem-solving with a knowledge of AI, you really become limitless and unstoppable in this new world.
340
00:20:27.387 --> 00:20:33.730
Where if you don't, again, you're just basically an order taker, good luck because you're not going to be around for much longer in your current position.
341
00:20:34.210 --> 00:20:34.671
Exactly.
342
00:20:34.791 --> 00:20:40.358
I told someone the other day I'm interviewing someone or I'm talking to someone that's wanting to get a job with me or someone else.
343
00:20:40.478 --> 00:20:43.482
If you can't blow my mind with a prompt, I might tune out.
344
00:20:43.682 --> 00:20:49.209
If you aren't using an agent to do some task for you, you're probably not getting hired at all.
345
00:20:49.330 --> 00:20:52.514
Prompting is really just the tip of the iceberg in terms of how to use AI.
346
00:20:52.854 --> 00:20:55.616
Yeah, because two years ago, 18 months ago, it was prompt engineering.
347
00:20:55.716 --> 00:20:57.417
Yeah, I don't think that's a role anymore.
348
00:20:57.617 --> 00:21:01.920
AI now has gotten good enough where it can understand what you're trying to accomplish.
349
00:21:02.120 --> 00:21:08.024
And with some of these reasoning models, it'll continue to come back and clarify where you're looking to accomplish and we'll go out and do it.
350
00:21:08.084 --> 00:21:11.487
Prompt engineering is going to be a blip in the evolution over time.
351
00:21:11.507 --> 00:21:20.433
You still need to understand the foundations and fundamentals of prompting, but it's not necessarily a unique skill set anymore that I would say is in demand in the AI-driven world.
352
00:21:20.453 --> 00:21:20.573
Yeah.
353
00:21:20.793 --> 00:21:21.154
I agree.
354
00:21:21.214 --> 00:21:24.457
The knowledge of prompt engineering has sort of become cheap.
355
00:21:24.497 --> 00:21:31.365
That knowledge and by the factor with which these models have gotten better, combined with the availability of the prompts that matter.
356
00:21:31.405 --> 00:21:32.906
Because the model keeps training itself.
357
00:21:32.946 --> 00:21:41.095
So if somebody asks something with a great prompt and there's a positive feedback loop, then it could extract those kind of words and it can correlate maybe a specific...
358
00:21:41.275 --> 00:21:45.557
prompt that's slightly not as good to whatever that prompt was that it did in the past that worked.
359
00:21:45.777 --> 00:21:52.180
And it keeps going down that path where you probably know if you use ChatGPT, you don't really have to write full sentences because it kind of knows you.
360
00:21:52.380 --> 00:21:53.861
So you don't have to spell right.
361
00:21:53.881 --> 00:22:00.544
You just have to give it an inkling of what you're trying to accomplish and it'll do it for you, which is fascinating because it was not that way with the earlier models.
362
00:22:00.764 --> 00:22:03.085
No, because I'll start typing through a prompt.
363
00:22:03.226 --> 00:22:06.907
I know I have typos because I'm typing really fast and I hit bang the inner key.
364
00:22:06.967 --> 00:22:07.528
It doesn't matter.
365
00:22:07.648 --> 00:22:08.448
Typos don't matter a
366
00:22:08.508 --> 00:22:08.828
anymore.
367
00:22:08.868 --> 00:22:11.130
That's how I usually am in life is I run so fast.
368
00:22:11.150 --> 00:22:16.093
And then someone else usually picks up the pieces behind me because I'm just not really tidy in the way I work.
369
00:22:16.113 --> 00:22:17.274
I just go so fast.
370
00:22:17.334 --> 00:22:18.815
But AI, you don't need to pick up the pieces.
371
00:22:18.835 --> 00:22:20.156
You don't need to correct your spelling.
372
00:22:20.196 --> 00:22:21.517
It's just going to understand for you.
373
00:22:21.617 --> 00:22:27.441
And that is another good analogy of what we're talking about is knowing how to spell is far less important than knowing what you want to accomplish.
374
00:22:27.661 --> 00:22:28.902
It's okay if you don't spell it right.
375
00:22:29.002 --> 00:22:30.243
AI will do that for you.
376
00:22:30.263 --> 00:22:32.384
You just need to understand what you want to accomplish.
377
00:22:32.444 --> 00:22:36.167
And that's really the hallmarks of really truly going down the right path in this new world.
378
00:22:36.227 --> 00:22:38.828
Yeah, creativity has never been more valuable.
379
00:22:38.928 --> 00:22:39.989
And that won't get lost.
380
00:22:40.069 --> 00:22:45.972
The thing about creativity, Ryan, is a lot of optimists say, so Microsoft announced that they were cutting 9,000 people.
381
00:22:46.052 --> 00:22:48.493
And that was a quarter after they cut 6,000 people.
382
00:22:48.633 --> 00:22:49.854
It's 15,000 people.
383
00:22:49.914 --> 00:22:56.457
You know, almost as many people to fill Madison Square Garden have been terminated by one company alone in the last six months.
384
00:22:56.697 --> 00:23:00.279
And what a lot of people say is, oh, they're just going to have to reskill.
385
00:23:00.379 --> 00:23:02.380
And once they reskill, there's going to be more jobs for them.
386
00:23:02.420 --> 00:23:03.601
And that's an optimistic view.
387
00:23:03.621 --> 00:23:10.403
I think the issue is it's very hard to teach somebody to be creative, especially later in life, which is why I have four kids as well.
388
00:23:10.463 --> 00:23:11.124
Remarries as well.
389
00:23:11.144 --> 00:23:11.944
We have a lot in common.
390
00:23:12.104 --> 00:23:13.225
I have two girls and two boys.
391
00:23:13.265 --> 00:23:19.787
But what I'm trying to learn the second time around my younger kids is really what's important for them to learn because the world has changed so much.
392
00:23:19.988 --> 00:23:23.249
And one of those areas I really want to teach them is creativity.
393
00:23:23.349 --> 00:23:28.951
So like when a song is playing, I will like make up lyrics to the song about maybe a family vacation.
394
00:23:29.031 --> 00:23:30.292
And now they're starting to do it.
395
00:23:30.372 --> 00:23:33.233
And making up lyrics to a song is coloring outside the lines.
396
00:23:33.433 --> 00:23:35.614
It's not knowing the words to the song.
397
00:23:35.734 --> 00:23:37.655
It's making up your own lyrics to the song.
398
00:23:37.775 --> 00:23:40.596
And some people are like, well, why are they singing their own version of the song?
399
00:23:40.636 --> 00:23:45.058
It's like, well, if you just do sing what everybody else sings, well, good luck in an AI-driven world.
400
00:23:45.118 --> 00:23:51.961
But if you learn how to make up your own lyrics, color outside the lines as a kid, that's how you develop those creative skill sets.
401
00:23:52.021 --> 00:23:58.224
Because those 15,000 people that got laid off, if they're not creative, it's going to be very hard for them to somehow become creative.
402
00:23:58.384 --> 00:24:02.066
And that's where I think one of the biggest risks is with all this job loss that we're seeing.
403
00:24:02.106 --> 00:24:02.386
Yes.
404
00:24:02.627 --> 00:24:03.187
I love that.
405
00:24:03.387 --> 00:24:05.689
I tell a lot of what I call dad jokes, my kids.
406
00:24:05.869 --> 00:24:06.749
But I'll say this.
407
00:24:06.809 --> 00:24:08.010
Why does that not surprise me?
408
00:24:08.090 --> 00:24:08.730
Bill, let me tell you this.
409
00:24:08.750 --> 00:24:09.871
There's a method to the madness.
410
00:24:09.991 --> 00:24:10.211
Yeah.
411
00:24:10.411 --> 00:24:16.375
I do it because they see how fast I take something that has nothing to do with it and the connection I make.
412
00:24:16.535 --> 00:24:18.857
And now my oldest son kind of does it better than me.
413
00:24:18.977 --> 00:24:26.441
It is actually more funny because he's creatively connecting the dots from one thought to another, which is kind of the beauty of like dad jokes a little bit.
414
00:24:26.521 --> 00:24:27.802
It's at least the ones that I tell him.
415
00:24:27.822 --> 00:24:29.484
They're intellectual dad jokes.
416
00:24:29.584 --> 00:24:31.286
I'm not saying they're really hilariously funny.
417
00:24:31.386 --> 00:24:35.050
Humor is about intelligence and being insightful.
418
00:24:35.190 --> 00:24:37.973
And that's a huge hallmark of future success.
419
00:24:38.013 --> 00:24:44.199
Jerry Seinfeld, the insights he had, if he worked in that agency, he would have created the greatest TV commercials of all time.
420
00:24:44.259 --> 00:24:49.905
Teaching humor is a great example of laying down the foundations of the skill sets that are going to be important moving forward.
421
00:24:49.965 --> 00:24:53.307
Yeah, it can take you dots, solve problems and all those things.
422
00:24:53.527 --> 00:24:55.948
In this strange way, we had so much convenience.
423
00:24:55.968 --> 00:24:56.469
You got Emma.
424
00:24:56.609 --> 00:24:59.690
And ironically, we're recording this when Amazon Prime is right.
425
00:24:59.750 --> 00:25:00.671
Just getting started here.
426
00:25:00.771 --> 00:25:04.293
You can't miss it if you're near a billboard, a phone, a prime day.
427
00:25:04.353 --> 00:25:07.294
We've been caught all this convenience and ease and all these things.
428
00:25:07.334 --> 00:25:08.495
And that's a wonderful thing.
429
00:25:08.555 --> 00:25:13.877
but it's also gotten us comfortable and not sort of pushing ourselves to creatively think.
430
00:25:13.917 --> 00:25:14.677
It's a great insight.
431
00:25:14.797 --> 00:25:18.999
I give a lot of talks to universities and professors and people that work at colleges.
432
00:25:19.099 --> 00:25:21.760
Isn't it bad that artistry is going away?
433
00:25:21.840 --> 00:25:24.401
And isn't it bad that we're devaluing creativity?
434
00:25:24.501 --> 00:25:27.922
And my answer is always the same is, it doesn't matter if it's bad or good.
435
00:25:28.002 --> 00:25:29.062
We're not going backwards.
436
00:25:29.262 --> 00:25:30.743
The train has left the station.
437
00:25:30.903 --> 00:25:33.984
People aren't going to stop using AI because it's bad for humanity.
438
00:25:34.084 --> 00:25:39.866
And there is going to be a lot of negative consequences, job loss included, from AI, but it could cure cancer.
439
00:25:39.946 --> 00:25:41.646
There's so many things that it can unlock.
440
00:25:41.746 --> 00:25:43.807
And that's been the case with every technology.
441
00:25:43.827 --> 00:25:45.208
It's always become demonized.
442
00:25:45.248 --> 00:25:47.108
There's always been people that have been fearful of it.
443
00:25:47.148 --> 00:25:48.569
But it advances society.
444
00:25:48.709 --> 00:25:52.630
And we just have to accept it because it's here, whether we think it's good or bad or otherwise.
445
00:25:52.770 --> 00:25:53.751
Yeah, 100%.
446
00:25:53.811 --> 00:25:56.032
You got prompts and asking to do things.
447
00:25:56.152 --> 00:26:02.015
I would almost call it the implementation, the acting upon what is generated in a way.
448
00:26:02.215 --> 00:26:06.697
I would say right now there's really three levels of AI that most people need to understand.
449
00:26:06.797 --> 00:26:12.040
The first, the 101, if you will, is the call and response, which is like you put in a prompt, you get an answer.
450
00:26:12.160 --> 00:26:14.882
And that's just like a better version of Google in a lot of ways.
451
00:26:14.982 --> 00:26:17.023
And it's obviously it's conversational and it does a lot.
452
00:26:17.043 --> 00:26:25.149
But anything you need to know in any format, you could ask ChatGPT or Grok or Claude or Google's Gemini and you're going to get the answer back.
453
00:26:25.169 --> 00:26:26.430
So that's kind of the 101.
454
00:26:26.670 --> 00:26:41.921
201 is automation, where you can use a tool like Zapier, for example, or Make.com or NAN, where basically you can say, I want you to take this Google sheet, extract these three lines from the Google sheet, write a blog post about that and post it.
455
00:26:41.961 --> 00:26:50.647
That's kind of an automation where basically you build these steps where AI is kind of the blood, if you will, in between the organs of the individual applications that you're using.
456
00:26:50.667 --> 00:26:54.369
And I'm talking about any application, be Google Drive, Google Sheets, Instagram.
457
00:26:54.489 --> 00:26:56.170
It could even create content for you.
458
00:26:56.310 --> 00:27:00.613
And I've done a ton and built a ton of automations for my company using tools like that.
459
00:27:00.773 --> 00:27:02.094
Agents are the next level.
460
00:27:02.194 --> 00:27:04.015
Because automations are deterministic.
461
00:27:04.035 --> 00:27:05.835
You're basically setting out what it should do.
462
00:27:05.975 --> 00:27:08.036
This is what you do, step one, two, three, and four.
463
00:27:08.196 --> 00:27:16.958
Agents, you're giving AI autonomy, where based upon the inputs, you're letting it decide what tools to use and how to accomplish things for you.
464
00:27:17.058 --> 00:27:17.579
That's one.
465
00:27:17.599 --> 00:27:22.220
And the other things agents do is they actually can interact with the outside world.
466
00:27:22.420 --> 00:27:30.182
I want you to plan a trip with my four kids somewhere where it's at least 80 degrees and there's a 10% less chance or less of rain.
467
00:27:30.342 --> 00:27:34.243
And here's my budget and here's a part of the world and I want you to book the entire trip for me.
468
00:27:34.343 --> 00:27:42.685
And it will then take agency, if you will, based upon everything it knows about you to not only do the research for you, but actually go out and book the entire trip for you.
469
00:27:42.765 --> 00:27:50.567
And if that actually involves it making a phone call and using an AI agent to speak to somebody at the Ritz-Carlton, it's going to do that for you as well.
470
00:27:50.767 --> 00:27:56.169
And when you start to think about the implications of that, an AI agent, it could also take over your computer for you.
471
00:27:56.249 --> 00:27:58.711
And it could start actually doing things on your computer.
472
00:27:58.791 --> 00:28:02.512
And it starts to really replicate a lot of what you and I do all day.
473
00:28:02.612 --> 00:28:05.133
So it's both scary, but incredibly fascinating.
474
00:28:05.153 --> 00:28:07.835
And if used the right way, it could make us way more productive.
475
00:28:07.975 --> 00:28:08.175
Yeah.
476
00:28:08.255 --> 00:28:11.256
I mean, everything from lead generation to customer service.
477
00:28:11.596 --> 00:28:13.257
Creative, all sorts of things.
478
00:28:13.497 --> 00:28:17.801
And the more data that you give an agent, the more context it has, the better it can be.
479
00:28:17.881 --> 00:28:26.709
And if you combine that, Ryan, with your ability to clone yourself, clone your look, tone, and feel, your likeness, your voice, one day, it's going to be able to do podcasts for you.
480
00:28:26.829 --> 00:28:30.212
It sounds crazy, but if I told you 15 years ago that...
481
00:28:30.332 --> 00:28:38.961
Half a million people would go to a festival called the Electronic Daisy Carnival to see David Guetta and Tiesto push buttons for music that they didn't create with instruments.
482
00:28:39.041 --> 00:28:40.162
You would have said that was crazy, too.
483
00:28:40.282 --> 00:28:41.943
But we listen to electronic music.
484
00:28:42.064 --> 00:28:44.666
So why wouldn't we watch computer generated content?
485
00:28:44.706 --> 00:28:44.906
Right.
486
00:28:44.966 --> 00:28:45.207
Yeah.
487
00:28:52.303 --> 00:28:53.203
You're not far off.
488
00:28:53.463 --> 00:28:57.805
And we do editing now where I don't have to re-record things because I have my voice cloned.
489
00:28:57.865 --> 00:29:01.386
We'll fix a word or two or a sentence or two very easily.
490
00:29:01.426 --> 00:29:03.566
Today is the worst it's ever going to be with all this.
491
00:29:03.666 --> 00:29:14.289
If you can get away with that now, with AI doubling its potency every seven months, where are we going to be two, three years from now in terms of how accurate that voice cloning or the video cloning of you is going to be?
492
00:29:14.349 --> 00:29:18.491
I mean, we're going to be at a place where I'm not going to know if I'm talking to your AI avatar or not.
493
00:29:18.591 --> 00:29:19.751
We are going to be there.
494
00:29:19.891 --> 00:29:20.131
Yeah.
495
00:29:20.311 --> 00:29:21.752
Now you led me right into it.
496
00:29:21.833 --> 00:29:26.676
In a world where you don't know what's real and what's not, eventually be backlash.
497
00:29:26.756 --> 00:29:28.818
Is there going to be a social media network?
498
00:29:28.878 --> 00:29:29.919
It's just goes.
499
00:29:30.079 --> 00:29:31.280
We're the real network.
500
00:29:31.460 --> 00:29:35.643
There's no way I, we only want authentic relationships and people.
501
00:29:35.803 --> 00:29:37.625
It doesn't feel like that's far off.
502
00:29:37.765 --> 00:29:38.245
Potentially.
503
00:29:38.386 --> 00:29:39.487
A backlash or an opportunity.
504
00:29:39.507 --> 00:29:46.934
If you look at the organic food industry, those people that will go to Whole Foods and spend a lot more money for food that they know is organic.
505
00:29:46.954 --> 00:29:55.082
I do think there will be industries and niche business opportunities that for sure allow people to have the confidence that it's all real.
506
00:29:55.142 --> 00:29:57.945
The question is, how nostalgic does that become over time?
507
00:29:58.025 --> 00:30:01.428
Is that going to be the equivalent of people going into a vinyl store today?
508
00:30:01.488 --> 00:30:12.496
We don't know because society is so conditioned now to listening and streaming music that all of a sudden vinyl, even though maybe the sound and fidelity is so much better, it's looked at as sort of like a niche, nostalgic hobby.
509
00:30:12.656 --> 00:30:16.399
Will us consuming real content from real humans be that one day?
510
00:30:16.539 --> 00:30:17.479
I don't know the answer to.
511
00:30:17.619 --> 00:30:23.524
Yeah, it's interesting because when we're recording, there was a big backlash, some new album that's like risen up.
512
00:30:23.604 --> 00:30:24.304
I heard about that.
513
00:30:24.324 --> 00:30:25.565
An AI-generated band.
514
00:30:25.685 --> 00:30:27.566
AI generated band for the most part.
515
00:30:27.606 --> 00:30:30.808
They're like trying to say it's not, but I think it pretty much was.
516
00:30:30.908 --> 00:30:32.128
But you think it's a backlash.
517
00:30:32.148 --> 00:30:36.411
Yeah, I think I read that it's had like 400,000 downloads or streams.
518
00:30:36.531 --> 00:30:40.413
So people can choose not to listen to it, but certain people obviously enjoy it.
519
00:30:40.453 --> 00:30:41.913
Yeah, you made the right analogy.
520
00:30:41.973 --> 00:30:44.515
If that chocolate ice cream tastes good, are you going to stop eating it?
521
00:30:44.615 --> 00:30:45.935
If you like it, you like it.
522
00:30:45.995 --> 00:30:50.878
But it does get into what was the art that it took to make a hit a topic.
523
00:30:50.898 --> 00:30:57.000
hit on radio and now, you know, the hour room and everything else, they can formulate what they think your human ears want to hear.
524
00:30:57.060 --> 00:30:58.340
Yeah, there's auto tune.
525
00:30:58.360 --> 00:31:06.043
You look at the Beatles and it was four guys with real instruments playing with very little electronic manipulation.
526
00:31:06.343 --> 00:31:08.424
And now that's not the case anymore.
527
00:31:08.524 --> 00:31:11.405
Is that really how their voice sounds or is it auto tuned?
528
00:31:11.445 --> 00:31:12.846
Is that really drums?
529
00:31:12.866 --> 00:31:13.967
Is that really a guitar?
530
00:31:14.287 --> 00:31:18.349
That music is a great analogy for kind of the synthetic nature of AI.
531
00:31:18.369 --> 00:31:19.949
And the reality is people are okay with it.
532
00:31:20.190 --> 00:31:24.331
And you don't see rock bands in the top 100 of hits anymore.
533
00:31:24.351 --> 00:31:27.673
Sure, there's country music, but even that has a niche audience.
534
00:31:27.713 --> 00:31:31.095
A lot of the mainstream top 100 is electronically creative music.
535
00:31:31.115 --> 00:31:31.915
Yeah, exactly.
536
00:31:31.975 --> 00:31:33.936
My dad has been in a band his whole life.
537
00:31:33.996 --> 00:31:37.598
I can play instruments would probably fall over on some level.
538
00:31:37.638 --> 00:31:46.503
Hear me say this, but if I can hit a button and I'm on stage and it strums the most beautiful guitar lake of all time, does anyone care?
539
00:31:46.663 --> 00:31:48.104
Maybe they appreciate the talent.
540
00:31:48.124 --> 00:31:52.146
Do you appreciate the talent of me knowing how to work my fingers and make them bleed?
541
00:31:52.387 --> 00:31:57.990
Or what it took to put it into the buttons in the queue of my mixer or whatever, like you said, the DJ?
542
00:31:58.410 --> 00:32:01.552
We're talking about you and I, and then we're talking about our parents.
543
00:32:01.752 --> 00:32:06.675
But what about Gen Alpha, who never knew a world where people were playing real instruments?
544
00:32:06.835 --> 00:32:09.757
They're not going to yearn for something that they've never experienced.
545
00:32:09.957 --> 00:32:16.481
So the only world they're going to know when it comes to entertainment content is synthetically generated entertainment content.
546
00:32:16.521 --> 00:32:20.183
And for them, they're going to love it, and maybe they'll want to look back nostalgic.
547
00:32:20.183 --> 00:32:38.493
I'm not sure if you're not sure if you're not sure if you're not sure if you're not sure if you're not sure if you're not sure if you're not sure if you're not sure if you're not sure if you're not sure if you're not sure if you're not sure if you're not sure if you're not sure if you're not sure if you're not sure if you're not sure if you're not sure if you're not sure if you're not sure if you're not sure if you're not sure if you're not sure if you're not sure if you're not sure if you're not sure if you're not sure if you're not sure if you're not sure if you're not sure if you're not sure if you're not sure if you're not sure if you're not sure if you're not sure if you're not sure if you're not sure if you're not sure if you're not sure if you're not sure if you're not sure if you're not sure if you're not sure if you're not
548
00:32:38.493 --> 00:32:38.994
what it all meant.
549
00:32:39.034 --> 00:32:42.499
I want to close out with a couple questions, Nat, on two levels.
550
00:32:42.819 --> 00:32:44.962
One, a consumer level, one kind of business level.
551
00:32:44.983 --> 00:32:47.446
I know you counsel businesses at the highest level.
552
00:32:47.526 --> 00:32:52.774
What are you telling, probably applicable, you probably can make the answer applicable to small, medium, or large business.
553
00:32:52.794 --> 00:32:53.094
Yeah, 100%.
554
00:32:53.515 --> 00:32:58.418
What are you telling the largest and most prominent businesses you talk to that they should be doing?
555
00:32:58.438 --> 00:32:59.539
How are you counseling them?
556
00:32:59.579 --> 00:33:05.122
And I'll give you the second part, which is just what would you say to the consumer out there that's either in the workforce or has children?
557
00:33:05.142 --> 00:33:06.363
It'd be a lot of respect.
558
00:33:06.483 --> 00:33:08.344
Speed is the ultimate moat right now.
559
00:33:08.824 --> 00:33:18.689
And the larger the company, the slower they are, whether it's bureaucracy or legal concerns or data privacy or just middle management layers.
560
00:33:18.949 --> 00:33:25.472
So many companies are set up and kind of the organizational design really prevents them from taking advantage of AI.
561
00:33:25.553 --> 00:33:32.396
Because in order for you to really leverage AI, you need to eliminate layers, break down silos and move incredibly fast.
562
00:33:32.636 --> 00:33:37.600
Less is more, which is why you're seeing the smartest companies in the world reduce their workforces.
563
00:33:37.740 --> 00:33:41.703
But you're not like the Amazons of the world and the Microsofts of the world and Meta.
564
00:33:41.783 --> 00:33:46.546
But a lot of other companies aren't doing yet because they're seeing the future while other companies don't.
565
00:33:46.606 --> 00:33:50.409
I don't tell companies they should cut their staff, but they need to reorganize in a way...
566
00:33:50.569 --> 00:34:00.554
with their eliminating bottlenecks and breaking down silos so they can move fast because it's easier than ever to build a great technology and get going and compete with far less people.
567
00:34:00.574 --> 00:34:08.538
You know, Sam Altman, the CEO of OpenAI behind ChatGPT, said he thinks we're going to see in the next couple years a one-person company worth a billion dollars.
568
00:34:08.698 --> 00:34:12.860
Think of how many companies that have thousands of people that aren't worth a billion dollars.
569
00:34:13.000 --> 00:34:16.682
That's the biggest change I think needs to come is organizational design.
570
00:34:16.702 --> 00:34:18.063
And of course, with that, just everything.
571
00:34:18.263 --> 00:34:24.626
a completely new realm of skill sets that need to be adapted by people in order to be successful at an organization.
572
00:34:24.786 --> 00:34:31.329
So organizational design, the right skill set and the right vision and leadership is really what it takes to adaptively evolve throughout this.
573
00:34:31.369 --> 00:34:32.309
And many companies won't.
574
00:34:32.329 --> 00:34:35.410
You're going to see so much roadkill, so many blockbusters, if you will.
575
00:34:35.550 --> 00:34:41.913
Circuit cities come out of this because the ability for a new entrant to compete faster than ever is unlike anything we've ever seen.
576
00:34:41.973 --> 00:34:43.695
I'd love to read you the two pages.
577
00:34:43.715 --> 00:34:45.076
Started my agency, Radical.
578
00:34:45.156 --> 00:34:48.699
The first two pages was literally marketing at the speed of now.
579
00:34:48.799 --> 00:34:49.620
It was our headline.
580
00:34:49.660 --> 00:34:52.903
And it was literally, I was like, speed will be our differentiator.
581
00:34:53.003 --> 00:34:54.584
Creativity will be our fuel.
582
00:34:54.865 --> 00:34:56.206
And it's just funny.
583
00:34:56.326 --> 00:34:57.867
And none of this AI shit was even here.
584
00:34:57.988 --> 00:35:02.892
But you could see that coming, the nimbleness, the necessary to take advantage of all of this and
585
00:35:02.912 --> 00:35:04.973
That's it, really, what you just said.
586
00:35:05.073 --> 00:35:05.754
It's so funny.
587
00:35:05.794 --> 00:35:06.634
And I understand it.
588
00:35:06.774 --> 00:35:10.137
It's easy for, I guess, us talking heads to say these things.
589
00:35:10.237 --> 00:35:14.219
And when there's a billion dollar lawsuit behind every corner, you got to move fast, man.
590
00:35:14.259 --> 00:35:18.121
You get too much thinking, too many layers, too much red tape and everything.
591
00:35:18.161 --> 00:35:19.923
And a lot of that takes courage as a leader.
592
00:35:20.043 --> 00:35:24.565
So if you're leading an organization, if you're leading a midsize agency, you're going to have to make some hard decisions.
593
00:35:24.946 --> 00:35:26.847
And you can't be fearful of change.
594
00:35:27.067 --> 00:35:30.929
You need to focus on the things that are important, not necessarily urgent.
595
00:35:31.009 --> 00:35:36.833
Like in other words, you can operate your business this week or this month, the same way as you have in the past, but it's death by a thousand cuts.
596
00:35:37.033 --> 00:35:38.954
But there's never a good time to say, you know what?
597
00:35:39.094 --> 00:35:41.075
We really don't need these jobs.
598
00:35:41.115 --> 00:35:42.016
We need these jobs.
599
00:35:42.056 --> 00:35:43.357
We don't need these departments.
600
00:35:43.397 --> 00:35:44.477
We need to combine these departments.
601
00:35:44.497 --> 00:35:45.958
There's never a good time to do it.
602
00:35:45.998 --> 00:35:48.500
But actually, the reality is the best time to do it is now.
603
00:35:48.540 --> 00:35:54.023
Because if you think AI is changing the world today, like we have no idea where we're going to be one, three, five years from now.
604
00:35:54.103 --> 00:35:54.343
Yeah.
605
00:35:54.523 --> 00:35:58.306
If you fear change, it's going to bring a lot of fear of something a lot worse.
606
00:35:58.406 --> 00:35:58.586
Yeah.
607
00:35:58.666 --> 00:36:05.351
And a lot of big companies are run by CEOs in the late 50s, early 60s with golden parachutes that just don't want to shake things up.
608
00:36:05.571 --> 00:36:09.314
And that leadership might be OK for them because they're going to be retired in five years.
609
00:36:09.354 --> 00:36:15.239
But for the rest of the company, they're going to be in such a disadvantaged place because of the lack of change that's been embraced.
610
00:36:15.359 --> 00:36:15.579
Yeah.
611
00:36:15.639 --> 00:36:17.240
They don't have to get uncomfortable.
612
00:36:17.280 --> 00:36:18.761
You got a five year runway.
613
00:36:18.801 --> 00:36:26.848
The worst thing that can happen to them is maybe it's not as cushy when they finish, but there's not the possibility of absolute failure.
614
00:36:26.948 --> 00:36:30.451
And so they don't want the discomfort of what that change looks like.
615
00:36:30.471 --> 00:36:30.631
100%.
616
00:36:31.071 --> 00:36:33.413
Matt could talk to you all day about all of this.
617
00:36:33.693 --> 00:36:36.215
Tell everyone where they can learn more about the book.
618
00:36:36.295 --> 00:36:36.876
Find it.
619
00:36:37.076 --> 00:36:37.596
Find you.
620
00:36:37.636 --> 00:36:38.217
All those things.
621
00:36:38.437 --> 00:36:39.918
My book is called Generation AI.
622
00:36:40.058 --> 00:36:41.298
It's anywhere books are sold.
623
00:36:41.318 --> 00:36:45.280
You just go on Amazon or anywhere else that sells books and type Generation AI and you'll find it.
624
00:36:45.340 --> 00:36:47.701
To learn more about me, you can go to mattbritton.com.
625
00:36:47.921 --> 00:36:49.882
M-A-T-T-B-R-I-T-T-O-N dot com.
626
00:36:50.002 --> 00:36:51.823
We'll have all of that in the show notes.
627
00:36:52.123 --> 00:36:57.185
And I'm going to hold Matt and twist his arm to see if he will do, we do a weekly news show.
628
00:36:57.225 --> 00:37:00.967
I'd like to have you like a specialist come on for that little 10-minute segments every now and then.
629
00:37:00.987 --> 00:37:02.747
We've got an AI story if you want to.
630
00:37:02.987 --> 00:37:03.468
I'd love that.
631
00:37:03.688 --> 00:37:04.168
Be awesome.
632
00:37:04.388 --> 00:37:07.049
Matt, hey, can't wait to build on our relationship.
633
00:37:07.069 --> 00:37:09.050
Really appreciate you coming on the show.
634
00:37:09.070 --> 00:37:13.172
Your wisdom is enormous, and I really love the way you deliver it.
635
00:37:13.252 --> 00:37:13.652
Thanks, Ryan.
636
00:37:13.672 --> 00:37:15.012
Appreciate you, and thanks for having me on.
637
00:37:15.192 --> 00:37:17.613
Hey, guys, you're here to find us, ryanisright.com.
638
00:37:17.633 --> 00:37:22.315
You'll find all the links to Matt's book, his website, and how to keep up with him.
639
00:37:22.355 --> 00:37:23.656
We appreciate him for coming on.
640
00:37:23.676 --> 00:37:26.717
But more than that, we appreciate you for making us number one.
641
00:37:26.837 --> 00:37:27.498
We'll see you next time.
642
00:37:27.678 --> 00:37:28.558
Here's the truth.
643
00:37:29.078 --> 00:37:31.179
Information doesn't change your life.
644
00:37:31.679 --> 00:37:32.580
Execution does.
645
00:37:33.580 --> 00:37:36.322
So don't just listen to this episode and move on.
646
00:37:36.762 --> 00:37:37.823
Take the idea.
647
00:37:38.384 --> 00:37:39.304
Make the call.
648
00:37:39.865 --> 00:37:40.765
Launch the thing.
649
00:37:41.386 --> 00:37:42.367
Fix the problem.
650
00:37:43.027 --> 00:37:45.509
Build what you keep talking about building.
651
00:37:46.249 --> 00:37:50.933
For more, follow Ryan Alford on Instagram, at Ryan Alford.
652
00:37:51.573 --> 00:37:56.577
And watch or listen to every episode at ryanisright.com.
653
00:37:57.157 --> 00:37:59.019
This is right about now.
654
00:37:59.719 --> 00:38:00.780
Now quit waiting.
655
00:38:01.320 --> 00:38:02.001
Go win.