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I'll tell you the dark truth about AI as a data analyst that most people are completely ignoring.
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⌚ TIMESTAMPS
00:00 – AI is fooling you
02:21 – The prices aren't real
05:18 – Why they'll go up
07:00 – The move going forward
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Avery Smith-1: So there's a pretty dark
future of AI that I don't hear a lot of
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:people talking about, and no, I'm not
even talking about all of the ethics
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:of how AI is ruining the environment
or how, you know, it's dehumanizing
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:the world or that people are just
trusting in all these all-powerful
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:AI chatbots and making dumb choices.
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:Although, we can argue those
in the comments if you'd like.
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:But for now, I'd really like to
focus on these dark costs of using
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:AI as a data analyst right now,
or a data professional really.
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:And for your career at this very
second, I think, like, ChatGPT
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:and Claude are fooling you.
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:I think that if you're using AI heavily
right now, it's either going to make or
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:break your career and, uh, I'll give you
all my arguments for that in this episode.
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:But if you're new here,
my name's Avery Smith.
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:I'm a senior data analyst, and I
try to make helpful content about
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:the future of data careers and
how AI and data play together.
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:And if you're interested in that,
which, let's be honest, you probably
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:are 'cause you're here, right?
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:Then go ahead and hit
the subscribe button.
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:But obviously, AI is here,
and it's really revolutionary.
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:Admittedly, I haven't written a line
of code unassisted in probably, like,
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:two-plus years now, and that's amazing.
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:It's opened up windows I
never even thought possible.
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:It's made me a better, a faster data
analyst and a developer, and it's
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:allowed me to build helpful products for
the data community like My Datafolio,
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:which is an online data portfolio
hosting platform, and findadatajob.com,
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:which is my job site that I
post lots of data jobs there.
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:And you probably feel the same.
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:Like, AI has really helped you
in a lot of ways in your life.
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:Like, maybe it's helped you look things
up faster, like no more Google, right?
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:Woo-hoo.
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:Maybe it's helped you
write SQL queries faster.
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:Maybe it's helped you with your
taxes, booked flights, whatever.
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:I don't know, all sorts
of different things.
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:But for all those good things, I
think there is a dark side that
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:both you and I are really ignoring
right now, and to our own detriment.
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:And no, it's not the obvious one of
you're actually learning the skills.
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:I think that's important,
but it's one that's much more
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:hidden and much more diabolical.
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:And it's important to know the skills.
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:Like, if AI's doing something,
you should be able to correct it.
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:You should be able to know if it's
actually giving you the right answers
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:to confirm what's actually going on.
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:And if you can't do that and you give that
analysis to a stakeholder, then there's
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:potential for a lot of big problems.
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:You know, maybe that's a big loss
in dollars, but it could be loss
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:in time, productivity, or even
lives at the worst case, right?
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:So if you're relying heavily on AI right
now, you might not be learning the core
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:skills necessary to actually become
a truly powerful data professional.
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:And that is serious, and
that is a problem, but you
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:probably already know that.
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:So what if I told you instead that
there's even a bigger rug pull at play,
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:one that you maybe haven't heard of yet,
that there's something slowly spreading
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:quietly in the AI and data industry that
people are quietly whispering about, not
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:really talking it out loud, and it's this:
that the biggest players in the space,
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:Claude and ChatGPT, are scamming us.
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:They're setting us up for an epic
realization that's going to leave us
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:all shell-shocked and kind of screwed.
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:And it's this: the current
AI prices are fake, fugazi.
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:They're literally artificial, and
I totally mean that to be a pun.
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:"But Avery, what do you mean?"
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:Guys, these prices,
they're subsidized heavily.
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:Every time you send an AI, they
are charging you one cent or
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:something like that, but it's
really costing them two to reply.
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:These companies are literally losing
money, literally burning it, and not just
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:a little bit of it, a lot of it, millions
and millions of dollars, hundreds of
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:millions of dollars they're just literally
throwing out the window, all in an effort
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:to get us addicted, to get us hooked.
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:And when we become reliant on it and we
can't live without it, that's when they'll
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:finally raise prices to what they actually
should be And if you don't believe me, no
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:problem, you know, don't trust me, right?
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:A recent study showed that
current AI prices from ChatGPT
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:and Claude are subsidized by up
to 70 times their actual prices.
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:Meaning if you have a Claude Max plan or
a ChatGPT Max plan like me, you're really
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:getting like 20 times, 70 times the usage
for what you're actually paying for.
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:Meaning if you do the same amount
of usage at actual break-even prices
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:for these companies, you're literally
going to be paying hundreds of dollars
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:more than you are right now to do
the same type of analysis, to do the
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:same type of queries, to do the same
types of chats that you're doing.
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:So just come with me for a second
and imagine that you don't learn the
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:fundamentals of SQL and Python, and right
now you're able to do some pretty decent
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:analysis just with ChatGPT or Claude.
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:You can do some pretty cool graphs.
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:You can make some pretty cool scripts.
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:You can do some pretty cool queries,
and maybe it costs you $10 to
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:generate all of these different
reports that, what you want.
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:Well, what happens down the road
when you want to generate a similar
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:report, but instead of $10 it costs
you $700 to do something similar?
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:Are you personally willing
to pay that amount?
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:Do the economics actually make
sense for you in that case, and
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:do they make sense for the company
that you'll be working for?
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:What you think you can do with AI
right now for $100 will not be what
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:you can do in the future for $100.
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:You'll be able to do a
lot less in the future.
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:Now, how far into the future?
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:I'm not going to just guess and
give you the timeline, but there's
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:a lot of hints being left right now.
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:Both Anthropic and OpenAI have had
discussions recently of IPO-ing and
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:becoming a publicly traded company,
and when that happens, their financials
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:will get scrutinized a lot more.
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:They have to actually publish all the
different, you know, financials that
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:public companies have to do, and when
that happens, they will feel the public
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:and shareholder pressure of this insane
cash burning that they're doing right now.
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:They will eventually need to have
profit or at least way less loss
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:than they're currently happening.
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:They can't just continue
to burn money forever.
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:So this may be in just a few
weeks, it may be in a few
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:months, it may be even in years.
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:I don't know.
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:But I think it's going to happen,
and there's a chance that these
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:prices not only go up, but go up
from what they are today, and it's
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:important for you to know that.
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:Now, why is that the case?
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:Why are prices so high and why
might they go higher in the future?
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:Well, I think there's two key factors,
basically, in all of AI: the hardware
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:and the power for the hardware.
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:Now, historically, hardware and computer
chips have gotten cheaper over time
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:and better over time, but that doesn't
actually really factor in the idea of
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:the demand that we're in right now.
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:We've seen great demand for
GPUs with cryptocurrency,
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:with artificial intelligence.
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:Demand is way up, and if supply
can't actually meet the demand,
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:we, you know, have an imbalance
and we may see prices go up.
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:Similarly, the power needed to power
AI and all these, you know, data
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:farms and all these compute farms,
all these data centers around the
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:world is going up, and the electricity
prices are going up as well.
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:Electricity prices in the US have nearly
increased 50% in the last five years.
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:As you can see from this graph right
here, it is a crazy big increase,
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:and I don't really think there's
any sign of this increase stopping.
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:Like electricity is just going to get
more and more expensive, and as it does,
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:so will the price of AI, unfortunately.
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:So what's actually my point here?
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:Well, if you think that you can
use AI to do data a- analytics for
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:the rest of your life and the rest
of your career, you may be right.
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:There's also a chance that you'll
actually be using it less than you think.
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:If the prices make it uneconomical
for companies, they will have to
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:take action and take quick action.
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:We've actually already started
to see it, whether you actually
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:have heard about it or not.
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:Microsoft, obviously a huge tech company,
literally cut their engineers from
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:AI because of how big the bill was.
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:Uber is now capping their employees
after they blew the entire AI budget
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:for the entire year in one quarter.
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:And even tech giants like Meta and Amazon
are feeling the costs, and if they're
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:feeling it, we're all probably feeling it
as, you know, smaller fish in the pond.
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:Now, that's not to say that you should
just start ignoring AI and just do all
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:your SQL queries and Python code by
hand, because you really shouldn't.
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:I think that's a big mistake as well.
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:AI is going to be used in the future,
and you as a data professional
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:need to be paying close attention
and getting practice on it.
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:But at the same time, maybe you
shouldn't be token maxing and just,
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:like, running up your AI bill like crazy
without actually having foundational
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:knowledge of what you're actually doing
and what you're actually building.
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:It's really a delicate balance to use
AI enough to stay dangerous, but not use
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:it enough that you become dependent, and
it's a balance that I'm exploring on my
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:own as well, and I'm actually gonna be
talking about it a lot in my newsletter.
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:So you should consider subscribing.
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:It's datacareernewsletter.com,
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:and I send literally meaningful
advice every single week on the
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:future of data analytics and AI.
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:There will also be a link in
the description down below.