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The Financial Diet
i'm getting cooked for my AI opinions
i'm getting cooked for my AI opinions
The Financial Diet
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41:02 · May 6, 2026
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Hello everyone, and welcome to this little sit-down we're going to have
0:05
because I am getting I'll say lightly cooked. I'll say a
0:09
little pan sear in the comment section of our latest video essay, which doesn't often happen.
0:16
And when it does, I like to take a step back. It's been a week.
0:20
Process my feelings on the matter, do some research, read the comments,
0:25
engage thoughtfully with the discourse, and then sometimes, as in this case,
0:29
come back and uh engage in a little bit of conversation.
0:33
This is hopefully just a reminder to all of you. We do read the comments. I do in
0:37
many cases personally and take them very seriously because you guys are very smart and thoughtful and I like to be, you know,
0:45
pushed to be more conscientious about the things I say and how I say them.
0:49
Now, for those who missed it, this is our most recent video essay from last
0:52
week. It is about AI, but kind of more specifically about what happens when AI
0:58
disrupts not just a huge portion of the job market, but specifically the parts
1:02
of the job market that have been disproportionately propping up what we
1:06
think of as the economy, which is very disproportionately white-collar workers,
1:10
computer-based jobs, and basically a lot of the things that are first on the
1:15
chopping block to AI disruption, if not already very much in that process. Now,
1:20
in that video, among many other things, I do talk about the fact that I use AI
1:26
and am not, I guess what you could call, quote, anti-AI, although I don't
1:31
actually think that such a term functionally means much, but we'll get
1:36
back to that. I'm going to put a pin in that. But I was open about the fact that
1:39
I don't have, I guess you could say the sort of
1:43
extreme negative position on AI, and I'm also not sort of completely opposed to using it in my real life. I gave a few specific
1:50
examples of how I use it. I don't use it for, you know, generative work, creating
1:56
original work, quote-unquote. I don't use it for research. I don't use it for
1:59
uh most of what I do here at TFD apart from very minor logistical tasks. And I
2:05
knew saying that in the video that that was not going to sit well with some of
2:10
our audience. I also made some comments specifically around the advancements in
2:14
in AI technology in the fields of translation, language interpretation
2:19
that sparked some conversation which I will get to a little later in this video
2:23
specifically. But all of that is to say and if you see me continually looking up
2:27
at the top right it is because I have copious notes for this video because
2:31
it's a very serious topic and I want to take it seriously. Just on a general
2:35
note when the audience doesn't necessarily take as well to one of our
2:40
videos I really do like to take that seriously and come it's been a week I've
2:44
had time to sit with it, think about it, read the comments and
2:47
do my research. So I have a lot pulled up on screen here. I knew that in saying
2:51
in the video that I do use AI to an extent and also that I do believe that
2:58
we need to from a policy level, from a personal level, from a societal level
3:04
sort of accept the fact that this is not a question of if it is a question of
3:10
when and in many cases it's a question of already here and how do we sort of
3:14
handle this Pandora that has escaped from the box in my opinion in a sort of
3:19
irreversible way. I knew I would get that response in part because I have
3:23
cultivated an audience here that is very politically progressive, that is very
3:29
skeptical of tech nonsense rightfully so I think. We were also one of the
3:34
earliest and loudest voices on financial YouTube against crypto and NFTs
3:39
especially at a time when that was flooding the industry not just with
3:42
content but with ad dollars. So we've always been on the let's say skeptical
3:46
side of all of these big noisy advancements or in many cases
3:52
outright scams in technology and and economics. I also even just in my
3:56
personal social life, I'm surrounded mostly by other fellow progressive
4:01
millennials who are extremely anti-AI. So I knew going into the video and
4:07
saying these things that there would be backlash, that people would not like
4:11
this. And it's interesting because when I was when we were cutting the video, I
4:14
debated removing that entirely anything about my own AI use. But that felt
4:18
dishonest and that felt um like a lie of omission. As someone who has been
4:23
creating content, sharing opinions publicly online for 15-plus years, the
4:27
entirety of my adult life, I do also, in addition to wanting to be
4:31
honest about things even when I know they're not going to be popular with the
4:35
audience in the same way. Um I also feel on a certain level that
4:38
if I am never receiving pushback, if I am never engaging in these comments,
4:44
um or in this discourse in this sort of conversation with my audience, that I'm
4:48
to some extent probably pandering intentionally or creating an echo
4:53
chamber. This is not to say that there are that everything is up for debate or
4:58
that, you know, all of my sort of progressive convictions are not real. They absolutely are. However, I do think that
5:05
sometimes the quote-unquote party line around what is popular to say or what
5:10
would sort of score me brownie points from my fellow progressives is not
5:14
always totally in line with how I actually believe how I actually think or
5:19
act in my own life. So I do, although it is sometimes stressful and
5:23
anxiety-inducing to read comments where people really don't agree with you and
5:27
are a little bit mad at you, I also think that that is
5:30
overall to me a good sign that I'm at minimum being honest and transparent
5:35
about where I maybe don't sort of adhere to the the consensus. And also I'm very
5:41
aware that if we were to just do like super anti-AI content, especially on
5:46
like social media where you don't really get into the nuances of it, that it
5:49
would probably be popular and, you know, clickable and shareable and all of these
5:53
things. But, I personally believe that especially with something as important
5:58
as consequential as existentially threatening as AI is, it really warrants
6:04
honesty and nuance in the conversation, regardless of how we personally feel.
6:08
Before I get into sort of my more expanded view on AI and responding to
6:14
some of the comments, I want to put a few of my personal biases on the table.
6:19
Now, number one is that I am an artist functionally. I My first book was
6:22
published in 2012. I've published several since. Uh my father is an
6:26
illustrator. I have a lot of other artists in my family. Two of my books
6:30
actually qualified for the massive anthropic author lawsuit, so I'll
6:34
eventually be getting a check in the mail for that. And also, I have seen up
6:37
close and personal, uh for people who work in the creative fields, how much
6:42
their work has been just decimated in the past 18 months. It just dried up
6:46
completely in many cases. So, on especially a sort of generative {slash}
6:51
{quote} {unquote} original content front, I am very much not only against
6:56
this, but also directly impacted by it. Also, personally as a creator of
7:01
content, existentially threatened by it myself. It is part of the reason why
7:05
events are something that we're going to be leaning more into with TFD in the
7:09
coming years, because at least for now, that's kind of one of the things that AI
7:12
can't replace is is in person or even virtual events and classes and things
7:16
like that. And even on the classes front, there's nuance happening there,
7:19
but we'll get into that later. Another personal bias though is that my husband
7:22
works in tech, and I mentioned it in the video, but I didn't really get super
7:27
deep into it, but in just the past, again, roughly 18 months, the entire
7:32
nature of how my husband works, what he does and doesn't do, has totally
7:37
changed. The work that he did at the beginning of of career as a software
7:41
engineer functionally no longer really exists. He works in product. Tasks that
7:45
used to take a team of a dozen people can now be done with two or three. He
7:50
has had to completely adapt how he works, learn new skills, change what his
7:55
objectives are, what his value offerings are. Like, if he was not adapting over
8:00
the past year, he would be effectively out of a job in the next probably two or
8:04
three. I want to be clear that coding, engineering, computer science generally
8:08
is very much on the cutting edge of these jobs being absorbed, replaced,
8:13
changed, etc. But, it is to say that in my own home on a daily basis, these are
8:17
conversations we're having that are not if, they are and again, not even when,
8:21
they are now. They have already taken place and we have to adjust accordingly
8:25
even when we're planning on like, what do the rest of our lives look like?
8:28
What's our financial strategy? What's our career strategy? Etc. The ground has
8:32
fully shifted underneath his feet. So, that is also very much informing how I
8:36
think about these things um and how I feel, you know, is is relevant to plan
8:41
for them. It's also a side note, but my husband is very politically progressive,
8:46
more so maybe even than I am. He's like deeply, deeply woke.
8:50
Uh but, also to an extent that he's sort of cynical and very sort of anxious
8:54
about humanity. When we talk about this and we talk about it a lot at home, his
8:58
vision for the impact of AI on white collar work is probably slightly even
9:02
more catastrophic than mine. We talked about it with our financial advisor last
9:05
Friday just getting his thoughts on uh the job market as it pertains to AI
9:10
uh because financial advisory is another area that's being heavily impacted by AI
9:14
learning models. And um yeah, suffice to say we had a three-way
9:18
debate where we talked about it. This is another reason why I really love using a
9:22
financial advisor. Uh if you want a good one, the link's in the description. The
9:25
tone in our house is just one of we've already been deeply impacted and we're
9:29
very worried about what the impact will be. So, that is another one of my biases
9:33
to put on the table. And of course, I have other ones, right? Like, we all go
9:37
into every conversation with some level of bias and so I absolutely don't want
9:42
to discount the idea that other things are probably informing my opinions on the matter, but I also just want to say
9:48
those are two of the really big ones. But this is a a very serious topic and I
9:53
believe that as such I, you know, should give a very serious and thoughtful
9:58
response to the comments that were critical of me for not being sort of
10:02
outright rejecting of AI or against it. to break this into four segments, which
10:06
will be the technological question, the labor question, the macroeconomic
10:10
question, and the environmental question because I think these are all very
10:14
important topics when we talk about AI, but they're pretty distinct and not
10:19
always connected I think in the way that they are being connected. So first of
10:22
all in the technology question, I linked yesterday on my Instagram to an article
10:27
that I think is very good if you are interested in learning about AI
10:32
from a 360 perspective from someone who is not at all a booster or a true
10:37
believer, someone who is deeply skeptical and also quite technologically
10:40
literate. So can really break down the concepts, but my overall point in the
10:46
video and today is that I don't think all of AI technology is just BS and
10:53
hype. This is why for example, when people will compare it to something like
10:57
crypto, which is again something we were very seriously, staunchly, and loudly
11:02
against and still are, I don't quite see the comparison. I think there are some
11:06
similarities and some of the boosters are the same, some of the players are
11:09
the same. The narratives can be similar, the hype can be similar, the money can be similar, but there are very meaningful
11:16
distinctions between these two things if for no other reason than the sort of
11:21
technology that underpins what we call AI is not new. Like this has existed for
11:25
quite some time. And also what AI even is and what it can and can't do varies
11:30
enormously from function to function and implement and implementation to
11:35
implementation. When a lot of people think of AI, they think about things
11:39
like for example, the generative AI that is producing original content, be that
11:43
the contents of an email all the way up to like, you know, a a a designed
11:48
graphic that a corporation is posting on social media rather than paying someone.
11:52
That is true and that is part of it, but that is far from the only implementation
11:57
of AI or how it sort of manifests in terms of what is being asked of it and
12:02
what it is producing. There's also wide variation in terms of how much of the
12:06
human brain you're essentially outsourcing to it. You know, it is a
12:10
comparison that isn't perfect, but it is still a relevant one, which is that when
12:15
the computer first sort of entered the workforce, there was an enormous amount
12:19
of pushback against specifically ways in which it would think for people or
12:23
replace people or do things, quote unquote, better than people, but you
12:28
know, the adopters were quite skeptical of that at the time. Um, and looking
12:32
back, there is an enormous amount of sort of tedious, low-level human work
12:37
that we no longer have to do that is completely taken for granted that we
12:40
would never go back to doing, but at the time was very, very controversial. Even
12:45
something as simple as, you know, being able to delete something rather than
12:49
having to retype a page entirely. And that distinction, I think, between AI
12:54
facilitating tasks that were otherwise perhaps not the most robust use of human time and energy, rather than sort of replacing
13:03
humans in an extremely imperfect way that results in an inferior product and
13:08
also, uh, makes us dumber in the process. I don't think conflating those
13:11
things is super helpful. But kind of more relevantly to the, uh, against AI
13:17
question, I think we underestimate the extent to which what is versus isn't AI
13:23
is often a question of branding. So, not to get ahead of myself, but in the
13:27
comments who were specifically uh, upset with me about my position on AI's
13:33
ability to impact the language learning, translating, interpreting market, a lot
13:38
of people were saying something to the effect of Google Translate was already
13:41
there and it was just fine. I want to be very clear that Google Translate for
13:45
some time now uses an AI model, what we would conceive of as an AI model. It is
13:50
not necessarily branded in the same way as ChatGPT or Claude or what have you.
13:54
Uh but it uses AI. YouTube that we're currently watching heavily utilizes AI.
13:59
As someone who spends an enormous amount of time on the back end of YouTube, that
14:03
is all AI now. Like, not all of it, but a huge amount of it is. I would
14:07
guarantee that if you were to pull up your phone and look at the apps, the
14:09
vast majority of them use AI to a certain extent. And again, the models,
14:13
the the the machine learning models on which AI is built, not new whatsoever.
14:18
Like, these have been around for some time. We're just iterating on them and
14:21
improving them in many cases. Whether or not we perceive uh an aspect of the
14:25
technology we use as being AI is often a distinction without a difference. And
14:32
whether or not something is marketed as AI comes down to how much the company
14:37
wants people to perceive it that way, which often they do because that can
14:41
improve things like their valuation and multiples. It can improve their sort of
14:45
PR image in terms of how technologically advanced they are or you know, the the
14:50
the tech capacities they have. But what is versus isn't AI, I think is sort of
14:55
not an irrelevant question, but it is not one that is as black and white as a
14:59
lot of people want to make it. I don't personally believe that at this point
15:05
you can sort of say I don't use AI, I won't engage with it if you are using
15:10
like the internet or you're using apps or you're using or you're just like gen
15:14
generally engaged with technology. Again, absolutely degrees up to what
15:18
extent you can opt in versus opt out. Even something as simple as like, if you
15:22
use uh Google and Google Gmail, Google Drive, etc., a lot of that you can opt in or out of in terms of how much it is sort of
15:31
integrated into your use of it, but it is built fundamentally, but it
15:36
fundamentally leverages and is built on a lot of this same technology now. As a
15:40
complete side note, I do think the opt-in versus opt-out of a lot of the
15:43
more generative AI aspects, like I don't know, your email uh platform prompting
15:48
you to write your entire email for you, I do think that that should absolutely
15:52
be more of an opt-in scenario versus an opt-out scenario, but that's a question
15:55
of policy and legislation, which we'll get to shortly. But, I say this to say,
15:59
in addition to the fact that I don't necessarily think that we can conceive
16:03
of ourselves as just not engaging with AI in the way that many of my like
16:07
fellow progressive millennials, and I'm sure many of the people watching um sort
16:11
of view themselves, I also think that there's again this understanding that
16:16
all of this is BS and hype. Some of it is. A lot of it is. A lot of it is, but
16:21
not all of it. A lot of the technology is very real, and a lot of the
16:25
advancements that have been made, for good and for bad, in the past 18 months,
16:30
like it is fundamentally changing how we work, how computers work, how we engage
16:34
with those computers. It is not fair to paint all of AI with a a a just a
16:39
general brush of it's all unnecessary And even unnecessary, I think,
16:43
can be a a subjective question, right? Like, whether or not you need any of
16:47
this in your life, that is a question of personal discretion, and I completely
16:51
understand the resentment of feeling like it's being foisted on you. However,
16:54
that is not the same thing as all of this being snake oil. And again, I look
16:59
at the way that my husband's industry has changed, the way his work has
17:03
changed, seeing it up close, what this technology is able to produce,
17:07
you can't hand-wave away as just not being real or not being worth taking
17:12
seriously. Whether or not you engage with it, that's your choice,
17:16
but it's not all fake in the way that other sort of scammary, again, such as
17:21
crypto and NFTs, I think you can really just hand wave away and be perfectly
17:25
fine never participating in that and, you know, watching it sort of slowly
17:29
decline over the years. Although, unfortunately, I was recently at an at a
17:32
financial conference and there was a whole segment on crypto and I was like,
17:35
"How are we How are we still here? Like, this is hell. Like, I'm in hell." But,
17:39
after the technology, we need to talk about what is to me the most relevant
17:42
question and is certainly the most relevant question for this channel,
17:45
which is the labor question. How does this impact labor? How is it already
17:49
impacting labor and how will it impact labor? Again, we may disagree fundamentally on the idea of whether or not AI is completely
17:59
and something that you can hand wave away, which again, I think the
18:03
bigger issue there is I don't even think we agree on what AI means in this
18:06
capacity, but we'll put that aside. Whether or not you agree with it,
18:11
support it, use it, any of the above, it is radically changing the labor market
18:16
in a massive way today. It is already happening. It has already happened in
18:21
many industries and it is not going to stop. Pandora is not going back into
18:25
that box for a variety of reasons, but mostly because the current
18:29
administration is in every way oriented toward letting AI just completely run
18:35
roughshod over the labor market, also over the environment. And essentially,
18:39
the sort of knock-on effects of making more and more people redundant at an
18:45
unprecedented rate are just going to be kicked down the road until they reach,
18:49
unfortunately, I think a critical mass economically and then someone else will
18:53
have to do it. Judging by how these things tend to go, I'm sure Democrats
18:56
will be in power when all of this comes crashing down and will be forced to
19:00
reckon with it. But, the changes to the job market that AI presents are very
19:05
real. And again, that is not an endorsement. That is not me saying, "And
19:08
yeah, I think it's awesome." I actually like, this is a complete side note. I'll
19:12
be doing a video on this later, but like my like major life project that I'm
19:16
working on right now is a like a grant-based residency for artists
19:20
specifically just because I feel so existentially sad and depressed and
19:25
anxious about what the future of the visual arts are in and all arts. It will
19:30
be open to other types of art as well, but what the future of all of these
19:33
things are in a world where we are less and less incentivized to pay real human
19:39
beings to create. Like I despair over that as an author, as you know, again a
19:44
daughter of a career artist who has just seen his industry collapse. So I am very
19:50
personally not in favor of a lot of this. I I'm devastated to see these
19:54
changes. I was just talking to a designer friend yesterday who was saying
19:57
that one of the biggest design employers in the entire country it just did mass mass layoffs the other day in tandem with,
20:05
you know, Claude's new sort of design rollout. That is devastating, but it is
20:10
also happening. So I don't think personally, and you may disagree, but I
20:15
don't think from a policy perspective or a sort of
20:20
presenting a meaningful opposition perspective that just sort of being like
20:24
I reject this it I refuse to engage with it it's not happening
20:29
is any kind of solution. I think if anything we need to be agitating more
20:32
aggressively on the sort of understanding that this is happening and we must take it seriously and we must account for it. I
20:40
mentioned it in the video, but I would like to emphasize it here. I believe my
20:44
personal political economic belief is that in order to combat the level of
20:49
changes that AI will represent to the job market in the coming 5 years, we
20:53
must implement either some version of universal basic income or a new deal
20:58
scale jobs program or both, ideally both. But I do believe that that is the
21:03
level of change that we are facing that will need to be addressed. And that
21:07
takes me to a common refrain that I hear from people who are
21:11
what I would just describe as very anti-AI, which is we don't we shouldn't
21:15
treat this as inevitable. We don't need to treat this as inevitable. I disagree
21:18
with that because I think that it it's not even inevitable, it's already
21:21
happening. Like this is already a reality and so we have to treat it as
21:25
such. And from a labor perspective specifically, like this should be one of
21:30
the absolute top agenda items for any politician right now is what are you
21:35
doing to support American workers through this AI revolution? What are you
21:40
doing? Are you siding with the sort of endless corporate greed and just
21:45
continual outsourcing and elimination and shrinkage of the already very
21:52
beleaguered middle working classes where we're just concentrating more and more
21:56
profits into not just fewer hands, but also fewer companies with this AI bubble
22:01
and the the small number of companies relatively who make it up or are you
22:05
presenting a meaningful opposition and saying that if you, for example, are
22:09
downsizing X number of jobs, you have to pay X amount more into a an
22:15
American workers fund, you know, that you can't just sort of make the total
22:21
restructuring and collapse of large parts of the American workforce into
22:25
someone else's problem, someone who, you know, make it something that somebody
22:29
else has to hold the bag for. You must be responsible for it. Again, for me,
22:33
taking it seriously, learning about AI is as much about learning how to
22:38
effectively oppose it, learning how it's impacting the job market, what jobs are
22:42
being affected, what are the best ways that we from a policy perspective can
22:47
address that and account for it. I again understand why it is perhaps more
22:53
psychologically {slash} even in some ways politically appealing to just say
22:57
like I reject this wholesale and will not engage with it on any level. I
23:00
personally feel that that is irresponsible. I think it's irresponsible for me as a business owner who, let's be clear, we do not use AI in
23:07
the workplace in any sort of people can use what they want. I'm not like going
23:10
into our employees computers and being like, "Don't use ChatGPT." But it's not
23:13
something we use as a company. Um it's also not something that we have replaced
23:17
any human labor with. We are uh still four-day work week. We are still the six
23:21
weeks PTO. We uh do not have any We don't even have interns, let alone, you
23:25
know, outsourcing this to to no one essentially. Um so we operate in a model
23:30
that is as as effectively anti anti-AI as you can get from a business and labor
23:35
perspective, but also is like, in my view, what every job could and should be
23:41
with the actual technological advancements in productivity and efficiency that AI should be representing. Like for me, in an ideal
23:48
scenario with the right government in place, the AI revolution would be a
23:51
four-day work week revolution. It would be a remote work revolution. It would be
23:55
a revolution of American workers getting back more and more of their time, moving
23:59
from the 40-hour work week to something much better. I doubt that that will
24:02
happen with our current administration, but I do think that that is what it
24:05
could represent in its most um sort of utopian version. I also wanted just
24:11
quickly take a historical lens on this to say that while it is not a one-to-one
24:16
comparison, I think looking in recent history, probably one of the most
24:20
substantial or sort of well-suited comparisons you can make from an
24:24
economics uh and technology perspective would be like the dot-com bubble of the
24:28
2000s. But when you map basically what's happening with AI in terms of its impact
24:33
on jobs to every major advancement in technology or industrial capacity, like
24:38
it is not a complete outlier in terms of how these things tend to work and how
24:43
they shake out. And we have seen in the past that coming out of some of these
24:46
leaps forward in terms of our capacity to be more efficient, use different
24:51
technology, materials, etc., that it can result in a better quality of life for
24:57
workers. It can result in people reclaiming more of their time and energy
25:01
and and all of those things. But ultimately, that comes down to a
25:04
question of policy and how this is being utilized. On the labor front, I do want
25:10
to address something that came up a lot in the comments of my video essay where
25:13
I mentioned that the insane advancements of AI in the language space specifically
25:21
around things like language teaching and learning, uh real-time interpretation
25:25
and translation, that they were to me an example of what could be if used
25:30
correctly, one of the in my view best uses of AI as we currently understand
25:34
it. There was a lot of pushback on that specifically from people who either work
25:38
in sort of the language teaching or translation space or interpretation
25:41
space. Um and obviously, I have enormous empathy for for those jobs being leaned
25:46
on if not uh diminished or eliminated entirely. Not only are many of my personal friends in those spaces, but I used to personally
25:53
work in those spaces both in translation and in language tutoring. I also
25:57
speak three languages, uh all of which have been learned sort of
26:00
quote-unquote the hard way. So, I am in no way trying to diminish the value of
26:06
what the this work is. And I also understand that at least for the time
26:10
being, AI cannot imitate the level of nuance and especially sort of cultural
26:15
context that real human translators can achieve. I only wanted to say that if
26:22
one of the results of AI is a democratization of communication in a
26:27
way that we have not yet experienced it, I do think that that is a
26:32
probably net positive for humanity on at scale. I could be wrong about that. But
26:36
again, as someone who speaks three languages and had to again do it the
26:40
hard way, like I want more people to be able to access that freedom of
26:43
communication without having to do it the hard way, without having to expend
26:47
resources they may not have. I mean, even something as simple as, you know,
26:51
immigrants, refugees, um people in emergency situations, in all kinds of
26:56
contexts. Like, there's enormous benefits to that, but I also think just
27:00
being able to understand each other. You can go on social media platforms now and
27:04
in real time watch content from people on the other side of the world and
27:07
understand mostly what they're saying. And that to me, I think, is will
27:11
hopefully be of benefit. But, if my comments were construed as to say that
27:16
the the work uh that translators do or interpreters do
27:20
is not valuable inherently, that is not my intention. And I would say again,
27:24
having worked in those fields, I completely understand the the nuance
27:27
that goes into it. But, I do have to again highlight the fact that a lot of
27:31
people were saying, "Well, we don't need these AI language models. Google
27:35
Translate is right there and works just fine." Google Translate uses AI. So,
27:38
this is kind of six six of one, half dozen of the other in terms of what
27:41
we're calling things. But, I yes, I did want to give just a specific
27:45
acknowledgement to that. And we'll see how it shakes out with regards to
27:48
language models specifically. It's one of the areas I'm more bullish on for
27:52
humanity. I could be wrong. I could end up with
27:54
egg on my face. But, I never want to diminish people's work, especially work
27:57
that I personally hold so dear. So, that's that on that. Next, we have to
28:01
talk about the macroeconomic aspect of the AI {quote} {unquote} bubble. One of
28:06
the things that I see a lot is people talking about AI being a bubble, sort of
28:11
let's just say a falsely inflated economic infrastructure that is likely
28:16
to either collapse outright or have some serious air let out of the tires uh in
28:21
the coming months, if not months or years. And that the the sort of
28:25
existence of this bubble, of this overhype, is evidence of or in some way
28:30
sort of conflated with AI being as a rule as technology. I personally
28:36
believe that AI is in a sort of bubble, if for no other reason that at a certain
28:39
point, as these valuations keep exponentially increasing, we're going to
28:44
literally like run out of capital to support it. Like, they're they're
28:46
becoming unsupportable numbers. So, I do believe that there is absolutely going
28:51
to be some air let out of the tires in a major way and given the amount of our
28:55
current economic growth that is pegged to the AI bubble, I do think that that
28:59
will have huge knock-on effects for the overall US market. That being said, two
29:05
things. One, the bubble effect of any race to a new technology or new to sort
29:10
of the consumer market technology is not new. It is not unprecedented. We can
29:15
look back at sure things like the dot-com bubble, but we can look at many,
29:18
many, many bubbles before that dating all the way back to essentially almost
29:22
medieval times and see a very similar pattern happening over and over again. I
29:27
would guess based on history that just like with other revolutions, we will
29:32
emerge with some Rockefellers and many more people who, you know, are putting a
29:37
bunch of rocks into their pockets and walking into the Hudson as I'm sure
29:39
happened in New York in, you know, but coming out of the Gilded Age. We'll also
29:43
end up with Bill Gateses and and RIP Steve Jobses and we'll also end up with
29:48
a lot of people with nothing to show for it. Probably also many people in prison
29:53
because usually coming out of these sort of gold rushes from an economic and and
29:58
specifically investment perspective, we're always getting some white-collar crime in the door. That is always sort of a part of this greater economic
30:05
pattern. So, I agree with all of the people who are like AI's a a bubble from
30:09
an economic perspective and it's going to burst. T, like that's true. That
30:14
being said, it does not mean that all of the technologies BS, that none of this
30:18
is real, that none of the changes are meaningful or something that can be
30:23
supported by the technology. It means a huge amount of it is over hype and
30:28
branding, for sure, and it means that we need to be even more discerning about
30:32
what is versus isn't hype, what is versus isn't a good use of these tools,
30:36
what is versus isn't showing real growth and, you know, sort sort meaningful
30:40
technological uh, which is another reason why I do think
30:44
like I'm no Reese Witherspoon. I'm no I'm not like Mel Robbins being like
30:48
upload all of your bank information to chat GPT and let it run your life. Like,
30:52
hell no, for so many reasons. I'm not a booster in any way to that extent. But,
30:57
I don't think it's wrong to say that learning about this technology probably
31:02
stands to benefit you if for no other reason than to improve your
31:06
detector. Like, I have to talk to my fellow millennials here for a second.
31:10
We're getting I don't know about you guys, but I I I'm like off Tik Tok
31:13
currently cuz it was dissolving my brain, but when I'm on it,
31:18
I have gotten got by AI videos multiple times. And I always leave it being like,
31:23
well, okay. I guess I'm sign me up for AARP because it's over for me, guys.
31:28
Like, I'm cooked. I don't think that we will probably ever, uh, be able to
31:33
totally, uh, steel ourselves against being duped or being misled both by sort
31:38
of fake content, but also by overhyped, not technologically backed products.
31:43
But, I do think we can become more discerning customers, more discerning
31:47
consumers, more discerning internet users, more discerning worker like, on
31:52
every level, I think knowing even just the very basic technological concepts on
31:57
this is helpful and only makes you probably sharper in, I have to say it, a
32:03
world and a and a job market especially on the entry-level side that is getting
32:06
hugely less discerning. It is not a joke to say that a lot of the the the younger
32:10
generations. Like, ask a high school teacher how much a lot of these young
32:13
people are relying on like chat GPT to outsource any critical thinking. So,
32:18
being a more informed critical thinker who has a lot more
32:23
discernment and actually understands what they're looking at only stands to
32:27
benefit you more especially as it pertains to the signal versus the noise
32:31
on the economic front at at minimum for me. You may disagree, your mileage may
32:35
vary, but that is how I choose to operate also in part because I'm a
32:38
business owner. Seven We have seven full-time employees who rely on my
32:41
ability to sort of like shepherd our company through all kinds of changes. We
32:45
had to go through a global pandemic. That wasn't expected. We've seen the
32:48
rise and fall of multiple social platforms while we've been here. AI
32:51
represents an enormous existential threat to my industry. So, me being
32:56
informed and understanding how to navigate this, like I consider a massive
33:00
personal responsibility. Lastly, I want to say this about the ecological impact
33:04
because that is many people's most sort of pertinent issue, ethical problem,
33:09
etc. with AI. AI and data centers in particular are yes having an enormous
33:16
ecological impact right now. I know I just pronounced ecological in two
33:19
different ways. So, sue me. That is not only hugely damaging I I think
33:22
the stat was was last year the output was roughly the same as that of New York
33:26
City, which is a city of 9 million people-ish. So, just crazy numbers being
33:31
put on the board um in terms of the emissions and
33:34
resource usage and all of that. It is also very disproportionately being felt
33:38
by rural communities, the same communities who stand to benefit least
33:42
from these advancements in technology, at least in terms of of, you know, their
33:46
ability to benefit from a a capital perspective because they are
33:49
disproportionately not the same people who are invested even in the stock
33:52
market, let alone shareholders of some of these companies that are uh
33:56
seeing explosive growth in in capital and valuation. So, I am in no way here to to to disagree with people who are like this is a major
34:06
uh environmental issue. I completely agree with that. I would only say two
34:10
things. One, the only fight against this is a political fight. How and when data
34:15
cen- centers get built, where where they get built, the the the rules and
34:19
regulations around their their emissions and their proximity to communities and
34:23
materials they use and and all of that, that comes down to regulation. That
34:27
comes down to what they are and aren't legally allowed to do. It is a policy
34:31
question. It is what It is a massive political fight, perhaps the most
34:34
consequential political fight that we're currently fighting right now from an
34:38
environmental perspective. I mean, there's many others, but this is a a
34:41
major, major, major one. At the same time, and and by the way, this is why I
34:45
say like if you are someone who is very concerned with this, like get effing
34:48
involved in politics because that is the only solution. Like other than that,
34:51
it's just going to be like three psychos in a boardroom being like, "Actually,
34:56
let's just start strip mining all of the southeastern US." If you're not putting
35:01
enormous constraints on these completely soulless goons who are leading a lot of
35:06
these operations, who don't care about anything but profit and growth, this is
35:09
exactly what they're going to do. At the same time, the model of new advancements
35:15
in technology or industrial capacity in the early days have
35:20
catastrophic environmental impact which quickly improves, that is also historically the pattern. There is a lot of hype and BS right now greenwashing AI
35:30
that it is better at becoming more efficient at using less resources than
35:35
it is. That that I completely agree with. Like there's a lot of
35:37
greenwashing. That being said, when you look at other similar historical
35:41
patterns, it is likely that the environmental impact will begin to
35:47
subside as the technology improves. It may not, but that is generally speaking what the historical pattern has been. A good
35:55
example, when you look at the environmental impact of computing back
36:00
in the late '60s and early '70s when this was really starting to be
36:03
implemented in the workforce, as you guys probably know, computers took up entire rooms, entire floors of buildings. They also
36:10
used a lot of resources that we don't today use in in building these machines,
36:14
even things like gold, etc. And roughly give or take, if you look at the data,
36:19
the the sort of ecological efficiency of computing roughly doubled every 18
36:25
months when you sort of zoom out to to what it is today and what we're able to
36:29
like the amount of computing that we are able to do today with a drastically
36:34
drastically drastically smaller emissions and and carbon imprint is just
36:40
it's at orders of magnitude more than we were able to do with vastly more
36:44
resources. The same is also true of a lot of production methods
36:48
you know industrial methods etc. None of this by the way is to excuse dirty
36:53
energy. That we are I mean with our current administration they're like it
36:58
is a true race to the bottom. Like they are
37:01
Forget strip mining the southeastern US US they are strip mining hell at this
37:05
point. They're like get us right down to the devil and let us take some of that
37:09
oil straight from the source. Like they're they're so so little concern for
37:14
the environmental impact of all of this and I will say
37:17
as a side note like to take it back to the jobs program and to talk about the
37:21
environmental impact. We worked a bit during the Biden administration RIP on
37:26
some green new deal initiatives from a media perspective. A lot of people don't
37:29
even remember the green new deal was happening. A lot of people do not even
37:32
remember like the not not zero advancements that were made in
37:36
environmental policy and specifically as it pertains to the labor component of
37:40
environmental policy here in the US. Like we were moving in a much better
37:44
direction under Biden as as it pertains to these things. And by
37:47
the way the the initiatives in AI and and data centers and so on were still
37:52
they still existed at that time. But they were existing within a a much
37:56
tighter framework even than today because so much has already been rolled
37:59
back from from an environment POV. But I say that to
38:03
say I do think that the the arc of time will likely at least somewhat bend the
38:10
environmental impacts. But you have to bend that and you only can bend it
38:14
through policy. We used to especially when you look back at like even
38:18
something as as as recent relatively speaking as like industrial revolution
38:22
England. Like that whole country was covered in like a foot of soot. Like
38:26
everyone was just in there like living in a brick of charcoal.
38:30
Uh and now obviously now part of it is that we've just outsourced the uh the
38:34
worst environmental uh impacts to other parts of the world, but it is to say
38:39
that like there is a capacity to to iterate on on how we do these things and
38:43
what the the regulations are around it. Anyway, I'm going to conclude this
38:47
never-ending video by saying the following. I am in no way an AI booster.
38:50
I'm not a true believer. We're not taking money from AI, although I guess
38:54
given that as I mentioned basically every app at this point and like
38:58
technological platform uses AI to a certain extent, we can't like say that
39:01
nothing that we touch touches it. Like I just that's nonsensical at this point
39:05
basically functionally. But we are certainly not like no one is paying me
39:08
to get on here and be like AI is great. I don't think AI is great. I just think
39:12
it is. And I think what it will be, how it will be used, the impact that it will
39:16
have on labor or continue to have on labor, on the environment, etc. all
39:20
comes down to how we demand that it be uh used as a as a citizen, as a as a
39:27
population, and and as a a country. And as a world really because this extends
39:31
far beyond our borders. I'm always here to engage in discourse with my audience.
39:35
I know looking back that I probably would have avoided a lot of uh angry
39:38
comments if I had just cut out my entire segment on my views on AI and how I use
39:43
it, but I would rather be honest and I would rather
39:46
uh give the conversation the nuance that it deserves and continue to talk to you. I'm always here to read your comments.
39:53
I'm always here to keep learning, keep pushing myself to think harder, and I
39:59
hope that we will continue to to stay in this little community that we have and
40:03
and create these feedback loops even if sometimes I'm stepping a little bit
40:07
outside of the box and pissing some of you guys off, which unfortunately is
40:10
just kind of an inevitability when you're posting to the extent that I have
40:13
posted over my life. But But you guys. I my heart
40:17
sits heavier than you can know for a lot of the people who've been affected by AI
40:22
including in my own home, including in my own family and I want to do
40:25
everything I can to not only present alternatives in how I work
40:30
and how I pay people and how not I we my my partners and I and our company and
40:35
how we operate and how we do things, but I also don't want to be so
40:40
against these things {quote} {unquote} that I pretend like this isn't happening
40:44
and I ignore it entirely and I don't take it seriously on its merits because
40:47
I think both with my company, but also with the platform that I have it is my
40:51
responsibility on every level to to be honest and to take it seriously and to
40:56
treat it as the real thing that it is. That's all.
40:59
I'll see you guys around the channel. Bye.
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