Unfortunately, I Was Right
387 segments
You see this face?
That's the face of a man who just made a
prediction on the internet for tech and
got it right. Let's just pretend we're a
big tech Google company. It costs
$50,000 a month and you're spending $1.3
million a month on just AI agents. To
replace those with just engineers would
Well, that kind of math you I mean it's
a number that kind of math you can't
just do off the top of your head. So
let's just say 30 engineers. That's like
30 engineers worth of people working on
something. You can't just do this for
every single project. Your company at
some point going to go, "Okay, time out.
We've made a mistake. We have decided
that we let you use all the tokens you
want. That's bad. We're going to go back
to the old days. Who's the most token
efficient?" And that my friends, that
prediction came right just a short 8
days later. Oh, what do you say? What is
this right here? Oh, is that Is that Sam
Altman saying something? He also said
the cost question came up quite
suddenly. At the beginning of 2026, the
issue never came up, Altman said. People
were totally happy with the amount they
were spending, he said. Now AI costs are
a huge issue.
>> [laughter]
>> I have correctly predicted the future in
only 8 days. And so obviously off this
high, off the high of the Uber COO
saying, "Yeah, token max token maxing. I
can't justify it. I don't even know I
can't even tell what features are being
made with this token maxing." But
nonetheless, after this amazing tech
prediction, I have decided that I'm
going to make five more predictions. Now
one of them's going to be heartwarming.
One of them is going to be what I think
is a good outcome. And then the other
three, nightmare scenarios. I think all
of these are going to come true within
the next 6 to 12 months, okay? And and
here's the other thing. None of these
predictions involve AGI, all right? They
all involve what seems to be the most
obvious answer of all time. Because when
you think about it for a second, like,
how did Sam not see this coming? Did he
never work at a company? Has he never
worked at a company where you had to
argue to spend $50, but then all of a
sudden every employee can just spend 10
grand on tokens? Brother, do you not
know how companies operate? How did you
not know this? Like, did you not have to
go to a VP and argue why you actually
needed an extra 8 GB of RAM? Like, did
you not live a normal ass life where
every last little thing was scrutinized
in a $1,000 meeting to make sure you're
spending $50 correct? Because that, my
friends, that's the corporate lifestyle.
Prediction number one, some of these AI
labs, they're actually going to attempt
to trade tokens for equity.
Oh.
Oh, Yes, this actually is
happening. This is not a prediction. I
just thought I'd throw this in there.
Just
This is insane, right? Okay. So,
actually token prediction number one is
going to have to be open source
donations. You, yes, you are going to be
able to donate a million tokens from
your budget into open source so they can
run CI or these other various tools that
may have to be run in some sort of
automated fashion, which costs open
source projects too much money. So, you
can be like, "Hey, have 10 million
tokens on your friend, okay? 10 quick 10
mil for you. By the way, those 10 mil,
those are Kimme Kimme 26s, okay? I ain't
paying for I ain't paying for no Chad
Jibity 55s, all right, buddy? And I
believe we're going to actually see this
within just the next few months. Open
source token donation. Yes, this one's
kind of nice, you know? Like, oh, that's
this is kind of sweet, you know? People
out there trying to make the world a
better place via tokens. Okay, that's
that's kind of nice. It's something kind
of like protein folding, you know how
you could donate your computer? Well,
now you can donate your tokens, maybe to
cancer research.
I know the frontier modelers keep
telling us how they're going to do this,
but maybe you'll have to be the one
donating your tokens for that to happen.
But either way, token donations, highly
likely we're going to see this in the
next few months. I had to get that one
out of the way because that's the nicest
of all the predictions. The next
predictions are going to progressively
get more and more deranged. But first,
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Now, back to the video.
Okay, hey. So, number two is kind of a
bit of an interesting one. I think that
when companies start hiring people,
they're going to of course give them the
dollar bills, right? And then they're
going to also give them the stonks,
which of course actually just simply is
dollar bills that grow. Then, you know,
they also get like 401k matching and all
these other things. I know that's very
American of me, but you get you get some
sort of benefits that go along with it.
But I think there's going to become a
fourth category that's going to happen,
which is token budget. You're going to
be given a yearly token stipend. And
however you choose to spend that at your
company to get your work done is on you.
And if at the end of the year, your
token spend is less than your token
budget, hey, you're going to have a
bigger, fatter, nicer bonus at the end
of the year because you're getting your
work done and you're not costing the
employer too much. This is going to
obviously incentivize people to be more
efficient with their tokens. Oh, you're
like a super-duper ultra engineer and we
whole super believe in you. Here's a
100k budget. Blow it all you want or
be super efficient with what you do, you
get to keep some of that money.
Incentivizing good behavior. Of course,
this is a once again one of my nicer
predictions, but I can actually
definitely see this some sort of
incentivization
for your behavior not just blowing
tokens like wild. Okay, we do not need
100 more dashboards. Like maybe just
maybe planning things out and thinking
about things ahead of time might be the
best way. Like dog, I know you got 10k
more in you, but maybe you don't need to
get those lines out right now, okay?
Hey, take a step back. It's okay, buddy.
All right, we're starting to enter into
the unhinged territory, all right? This
is where things are going to get a
little um
strange. Prediction numero three. You
remember planning poker? You remember
Agile? Remember, you know, back in the
day long before vibe coding? You have to
You used to have to like sit down and be
like, "Mhm, this task is a is a medium."
And then everybody would play this game
of poker, which by the way, set it
aside. That's not poker. I hated the
fact that they called it planning poker
because what are people bluffing? Are
people actively lying to me? I'm pretty
sure this is called "Hey, get guess a
number as to what you think this is
going to be." And if everybody guesses
the same number, that might be just what
it is. Like it's not That's not poker,
okay? That's not poker at all. Hated
that, okay? Sorry. Either way,
we're going to see something a little
bit different, okay? My little vibe
coders, my little sweet summer children,
I know you're not familiar with that
process, but
new process is going to land and it's
going to look something like this. All
right, hey, we got this feature coming
up. We're going to play a little bit of
token poker.
Uh everybody get your cards out. How
many millions of tokens do you think
this this feature's going to take? Ooh,
I think this is I think this could be
done for 10 million Kimmy 26 tokens.
Throw that throw Throw in the hat. Some
people are going to be like, "Dude, this
is 50 million gippity extra high fast
tokens, okay? Cuz it's urgent. It's
going to cost us money." You're going to
have this entire session where people
are going to be playing poker. Which is
still not poker. About how much a task
is going to cost in tokens. You know I'm
right. You know I'm actually right. In
fact, I would not be shocked if someone
said, "We already do this. We already
token poker. We already But we already
put them token poker chips down, boy."
Like I already I believe it. I would be
I'm completely not surprised. But we're
going to replace Agile with token Agile.
Oh my gosh, the consulting class is
going to be so fun. Think about all the
consulting people that are going to come
into your company, reintroduce a new
version of Agile, and one of them is
definitely going to be token poker. All
right, so the final two predictions I
think are going to be the most likely
ones you're going to see pretty soon.
And they're going to probably re- like
wrought the most destruction on any
company. I believe these next two are
effectively what George Hotz was talking
about when he said, "I'm calling it now.
The adoption of AI agents into software
development will be one of the most
costly mistakes in the field's history."
Now, I don't think he's saying agents
are up here bad here. I think he's
saying there are some companies in which
they operate that are going to be
absolutely insane to budgets and just
just actually delete companies
completely out of existence. Prediction
number four I think can be best
represented by Microsoft's org chart.
Which is going to be instead of having a
company-wide budget for AI, which I
think will still exist, you're going to
have org-wide and team-wise budgets. And
this is going to cause people to lose
their damn mind. Because you know what's
going to happen. There's going to be
individuals out there just spending an
enormous amount of tokens, and their
whole team is is to just hate that
person. Or they're going to use their
entire team's budget and have to go back
to like hand coding and just absolutely
being so angry at what's going on. And
you know also what's going to happen
with this idea of kind of
this this these organizational wide
token spreading is there's going to be
middle managers that their entire job is
to like petition {slash} negotiate for
your team's allotted token limit. An
entire management class is going to be
created out of this. It is going to
it's going to be absolutely beautiful.
And then of course the natural
outcropping of all of this is that there
will be team members in which to save
tokens are going to start pair
prompting. Yes, you heard it here first
folks. I predict by the end of the year
you will definitely hear that phrase
paired prompting. They're going to get
together and really kind of hammer out
the perfect context {slash} prompting so
that they don't use too many tokens to
go and get the task done. And even
worse, there's going to be like these
team long activities, right? Cuz you
know how it's you you can technically
set up these agents to run for like a
day straight or 6 hours straight or
multiple days straight and they can just
spend so much tokens. So what you're
going to end up happening is these long
running tasks, the prompts to kick them
off will be like team reviewed. You're
going to have people actually on GitHub
knitting how the prompt was set up being
like, "Actually, you don't need to
threaten the grandma anymore. And
actually it's best to give them a
certain personality and then somebody
else is going to be like, "Actually, on
archive paper number 3,972,
it actually says personalities are
destructive." And it's just going to be
this non-stop shaman-like exercise where
they tell you the secrets of the prompt
and your whole team is going to be just
arguing over how to kick off these long
running tasks. It is going to be it's
just a thing of beauty. All right, the
fifth and and final prediction, which I
think is definitely the most unfortunate
because this one, if it's not already
true, will be true here very, very soon.
Which of course is that companies are
going to try to reward as hard as they
can the people who are using the most AI
by budgeting the AI specifically for the
people. So, what's going to end up
happening is they're going to review all
the get logs and be like, "Okay, well,
Brian over there, he only produced
10,000 lines of code last month, but
Timmy
Timmy produced 100,000. You know what?
Tokens for Timmy, but none for Brian.
Okay, nobody loves Brian, all right?
Everybody loves Timmy. You know this is
going to happen. They're going to find
the people just simply creating the most
change gets the most budget. And the
thing is is that this isn't even that
far from happening because if you
remember ClickUp from doing some of the
layoffs, one of their big things is the
100X organization. They're like they're
like setting forth kind of this idea
that there will exist organizations that
have 100X output. Well, how are you
going to get 100X output? You're going
to have to have an enormous budget, and
once obviously the budget hits the
fan, people are going to go, "Okay, we
need to reduce who gets to be a part of
this organization, who produces the most
code?" And it's just naturally going to
happen. They're going to find the
biggest slop cannons, and they're going
to put them into positions where they
get effectively unlimited budget. I
genuinely believe there's going to be a
company that is going to so thoroughly
code themselves into hell that they're
actually going to fail as a company due
to how much crap and burden they have
put on themselves with the promises of
the magical
sand rock computer talky thingies. I
don't even know what happened there. I
just got I got all my words mixed up.
All right, okay. I was coming in with,
you know, like the the magical sand that
talks to you. I don't even know what to
call it. What do you call it? They're
getting They're going to get owned
because somebody told them that the
magic rocks actually can predict the
future and will in fact lead them to
salvation and instead it just led them
to hundreds of thousands if not millions
of lines of burden and not technical
advantage. The name
is the primogen.
Ask follow-up questions or revisit key timestamps.
This video discusses the rising costs associated with AI agents in the workplace and makes five predictions about how companies will react to these financial constraints. The host reflects on his previous accurate prediction regarding the sudden focus on token efficiency in corporate AI spending and outlines how future management of AI resources—such as token budgeting, team-based allocations, and the potential emergence of 'token poker'—will significantly impact software development workflows and organizational dynamics.
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