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Sam Altman Says AI Will Erase Entire Job Sectors · Elon Musk Podcast

• 0:01
  Hey everybody. Welcome back to the Elon Musk
• 0:04
  Podcast. This is a show where we discuss
• 0:07
  the critical crossroads that shape SpaceX, Tesla X, The
• 0:11
  Boring Company, and Neurolink. I'm your host, Will Walden.
• 0:17
  We're all kind of worried. At least at this point we should
• 0:20
  start being worried about AI being a bigger part of the
• 0:25
  workforce than it was before. White collar people will be
• 0:31
  pushing back as hard as possible.
• 0:34
  People in places of power, CE, OS, and the C-Suite in general
• 0:39
  will be pushing back against AI as hard as possible.
• 0:44
  But people like coders. There's been 100,250 thousand
• 0:49
  coders let go from their jobs, fired, literally fired from
• 0:53
  their jobs that they may have had 10 years experience at the
• 0:57
  role. And bigger corporations,
• 1:00
  Facebook, Meta, you know, every large company, Google, they all
• 1:09
  have fired people. And when I say fired, I mean
• 1:13
  like they got fired. It's, it's not a nice thing to
• 1:17
  let somebody go if they've been there for a while.
• 1:18
  It's not a nice thing to, to let people go to fire people and
• 1:24
  have their family disrupted. Now you're making really good
• 1:28
  money as a coder at a company. And then you see some of the
• 1:33
  writing on the wall that there should be some changes coming,
• 1:38
  but they what you don't know because you're on the lower
• 1:42
  level of of the spectrum here as far as employment goes.
• 1:48
  The top level has been working on a solution to get rid of you
• 1:52
  for months. And I'm not doom and gloom here.
• 1:55
  I just know that's how it happens.
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  I have friends at Meta, I have friends at Google.
• 2:00
  The whole thing has been, it's been a plan for a long time.
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  The entry level jobs, they're all being replaced by AI agents.
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  When I code something that I, you know what?
• 2:17
  I I code it with a lot of AI help, mainly to save a lot of
• 2:22
  time. I'm working with clients and if
• 2:25
  they need some work done, I will gladly give them AAI generated
• 2:31
  piece of code that works and it will work in the future.
• 2:35
  I test everything by the way, I don't just like plop out slop I
• 2:39
  I make something with AI and I change it as I as it goes and
• 2:44
  you know I'll change the code and fix it up for the AI, but it
• 2:48
  gives me a great structure to start a project.
• 2:51
  So say if I had like a project, I'm doing this because I want
• 2:55
  you to know how things work with with the AI routine.
• 3:00
  Now, So say if I have a client and they want a website, they
• 3:04
  want a fully custom website. They don't want a like a
• 3:06
  Squarespace site or like a Wix site.
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  They want like a fully custom website where they can take
• 3:12
  appointments, where they can get paid.
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  Basically they want a Squarespace site site but not on
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  Squarespace. They want all the things on
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  Squarespace but not a Squarespace site.
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  And they don't want to build it themselves.
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  They want somebody to build it for them.
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  They have an idea. So look I I could sit there and
• 3:32
  code this for a month, you know, even 2 weeks to build this
• 3:37
  thing. Who knows?
• 3:38
  Depending on the requirements of course.
• 3:41
  But the fact that I can use something like huggable.
• 3:47
  I could even use Claude to set up a project and make a 5 page
• 3:54
  banger website with a scope of whatever the client wants.
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  I can just tell it what it wants and I'll be like, these are the
• 4:04
  things that it needs in order to work.
• 4:07
  Maybe you have clerk, maybe you have Stripe, Maybe you make your
• 4:10
  own booking system and hook it up to Firebase.
• 4:13
  I don't know, you know, depending on the client, but
• 4:17
  when a client needs that, I'm just like, you know what?
• 4:20
  I'm going to use some AI. I'm going to save myself a bunch
• 4:22
  of time. And it it really does, if you
• 4:25
  pay attention to it, if you pay attention to what the code, what
• 4:28
  code is being produced, it'll save you a ton of time.
• 4:33
  And if I, I could literally hand code it if I wanted to, but it
• 4:36
  would take an extra week or two to do that.
• 4:40
  So what people are buying now isn't the time that you put into
• 4:44
  a project. They buy your expertise.
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  And if you're an expert with AI, you're going to become valuable,
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  right? So Sam Altman, it was the
• 4:56
  opening ICEO, he thinks that AI is about to eliminate complete
• 5:02
  categories of jobs. And he's been saying this kind
• 5:04
  of under his breath for a while. A lot of AI proponents,
• 5:09
  including Elon Musk, have been saying this for a while, but Sam
• 5:15
  just said it's going to happen really soon.
• 5:18
  What happens when automation becomes like, not just an
• 5:22
  enhancement of things that we do, like a coder like myself,
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  but it replaces you like I was talking about before the high
• 5:30
  level coders made the language models able to replace the lower
• 5:37
  level workers to do the menial tasks.
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  Bug fixes. I went through that when I was
• 5:44
  working at corporate bug fixes. They put you on that first so
• 5:49
  you can get used to the code base and they're like everyone
• 5:52
  has to go through. It's kind of like a boot camp.
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  If you can't handle this, you're not going to make it here.
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  So all the bug fixes, hey, I can handle that within minutes
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  compared to a person that could take hours.
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  You know, some of the bugs that I was fixing took me two weeks
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  to fix, literally 2 weeks. And they were very difficult
• 6:14
  solutions to these, to these bugs.
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  I had to go to hire like the highest level of engineering to
• 6:21
  fix some of these bugs. And I went through the whole
• 6:23
  chain. I did everything I could in
• 6:26
  order to fix these bugs and I had all the questions.
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  I had all the right questions. I had some stupid questions too,
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  because I was just new there, but I had the right questions
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  and nobody could figure it out. That's why I was in the in the
• 6:37
  bug bin. So I had to go all the way to
• 6:40
  the top of engineering and the top of engineering had no idea
• 6:43
  how to fix it. It was just like, what is this
• 6:46
  thing? And he took a crack at it for
• 6:48
  1015 minutes, sent me away with some hints of what it could
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  because he didn't really know. And then I spent another, I
• 6:59
  don't even know how much time after that guy, but it took me
• 7:02
  like, I don't know, I'm going to say a month to figure it out
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  because that was one of the harder, harder bugs I had to
• 7:07
  fix. And it was, I used to work at a
• 7:10
  company that built all the high level automotive websites on the
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  Internet. And we would, they had a
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  templating system and it was a language that I don't use
• 7:24
  anymore, but it was a language that I was familiar with at the
• 7:27
  time. So I was good at it.
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  It's just now with AI, you could be replaced within minutes if
• 7:35
  you've run that same bug through Claude even, and I'm not saying
• 7:41
  Claude even like as in Claude is bad because Claude's really
• 7:44
  good. You're on that bug through
• 7:46
  Claude. You tell it how it works and you
• 7:49
  tell it what needs to happen. Oh my God, it's done in seconds.
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  And it might get it wrong the first two or three, two or three
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  times, but it will code it up within a minute.
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  And there goes a month of an employee, you know, you get that
• 8:06
  done in a second. You have some high level.
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  Also, you can train other bots to do that work to find the
• 8:12
  bugs. You know, you may have a bug
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  reporting system and somebody finds a bug, you put it into the
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  system, and then automation takes over.
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  The automation fixes the bug and also deletes the human from that
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  job. Sam Altman has said this
• 8:32
  recently. He went to Washington, DC, and
• 8:35
  he had a talk with top US officials that AI will push some
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  sectors of the workforce into complete obsolescence.
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  He talked to Federal Reserve vice chair for supervision
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  Michelle Bowman. He said some of these jobs will
• 8:53
  be totally like, just like, totally totally gone.
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  He said customer service is going to be gone.
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  I already see it. You probably see it too.
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  You probably might not even know it.
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  You call a company for help and you're on the phone with an AI
• 9:08
  agent, probably don't even know it sometimes you you know you
• 9:16
  can text customer support some places and when you text
• 9:20
  customer support, that bot will respond to you.
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  But he thinks future where people will call support lines
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  and get help from AI will perform better than a human
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  agent ever has handled those situations.
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  Mainly because it'll be trained on these situations and it'll
• 9:39
  come to the most logical conclusion.
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  Now, will it be the most human conclusion?
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  No, it's a robot. It's going to come to the most
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  logical conclusion, but it'll mask it like it does now.
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  Like open AI with ChatGPT and masks the conversation as you're
• 9:55
  having a talk with a bot that performs like a human.
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  Kind of. But Altman also described AI
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  systems that will just like just totally skip the traditional
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  phone trees and transfers. And instead it's going to be a
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  top agent for the call for you and it'll improve speed and
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  precision of decision making. Also, he said AI doesn't make
• 10:24
  errors and complete support requests in a single call.
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  As opposed to humans, which you've been there, you've been
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  passed around the customer support center so many times,
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  just like me, and you know that an AI agent would probably have
• 10:40
  helped you because you have a specific concern that you have
• 10:43
  to take care of. So this is going to help open AI
• 10:48
  shift to the practical future of automation.
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  So he's not talking about a theoretical improvement or
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  support tool. He thinks it's going to
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  completely substitute people. So all those offshore customer
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  service agents that you talk to all the time, they're going to
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  be gone. And if you build it with one
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  language, you have a large LLM. You know, in in one language,
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  you could use that same LLM and then translate it into another
• 11:25
  language. You have a great product.
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  Now, we don't know when this is going to happen.
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  AI deployments will still produce unpredictable outcomes
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  like the code that I was talking about earlier.
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  There's regular malfunctions that happen all the time, also
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  known as hallucinations, where models invent new rules and
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  responses. The of course the AI software
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  will tell you that it's right. I've had this happen so many
• 11:57
  times, like ChatGPT or Claude will tell me this is your
• 12:01
  solution and then I'll run the code and it does not do anything
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  it's supposed to do but actually throw more errors.
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  So it has hallucinations. So at this point it just needs
• 12:15
  to be trained more because we're all kind of AI, right?
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  Think about this for a second. When we're little babies, we
• 12:22
  start training on a large language model.
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  We're crawling around doing baby stuff, you know, suck on
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  pacifiers, playing with our biggies, drinking milk,
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  whatever. And while that's happening, the
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  language is, you know, it being spoken around us.
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  So we take it in. Then little by little we learn
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  the language and over time we become a large language model
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  because there's a lot of language that's being
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  interpreted by us, but instead of interpreted by us, it's
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  interpreted by Jet GPT or Opening Eye or, you know, one of
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  these perplexity or something. And by the time it has matured,
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  it will speak just like a human to do those tasks.
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  You know, it's going to be wild. Sometimes there's like a support
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  assistant or sometimes there will be a support assistant.
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  You know that they'll suddenly log you out as part of a new
• 13:29
  policy. The policy may not have expired,
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  but they might log you out anyway.
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  They fabricated this, but then you have to log back in again,
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  contact an actual human, tell them about this, the system
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  problem. And then they put it into the
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  system and they fix it with other AI.
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  So there's, there's still will be a layer of humans, but that's
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  going to go away within the next five years.
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  Those customer support jobs, the people really like they were,
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  they were dependent on those customer support jobs to feed
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  their families. All those people will be out of
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  work. And some people say, hey, what,
• 14:12
  we'll just get a new job. If you've been working the same
• 14:15
  customer support job or like in a call Center for 10 years, you
• 14:19
  probably haven't been training on new techniques or a new job
• 14:26
  the whole time. You know, what are you going to?
• 14:28
  You're not going to just learn how to code overnight.
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  You're not going to learn a new skill overnight.
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  You can, you know, if you see the writing on the wall, all
• 14:35
  these customer service people should be looking for a new
• 14:38
  path. Even me.
• 14:42
  Think about this. I've been on YouTube for five
• 14:45
  years. I've been a podcaster for five
• 14:48
  years. I know the insurance and outs.
• 14:50
  I've been hitting the ropes. I've been fighting for YouTube
• 14:55
  channels and podcast views and listens for the last five years.
• 15:01
  I know exactly what it takes to build this stuff.
• 15:05
  This podcast listening to right now, wildly successful, millions
• 15:09
  of downloads. I know how to do it.
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  YouTube, same thing, 3,000,000 downloads.
• 15:16
  It's 2.5 to 3,000,000 downloads on my YouTube channel.
• 15:19
  I think it's, I think we have millions of views on this
• 15:23
  channel as well. I know we have millions of views
• 15:25
  on this channel or downloads. So I know that.
• 15:29
  So I'm pivoting away from coding and I'm going to, I have
• 15:32
  started, actually, I have some clients, I've started helping
• 15:36
  people with their podcasts, editing their podcasts, editing
• 15:39
  their YouTube videos, helping them with the business side of
• 15:44
  all of this. The business side is the hardest
• 15:46
  part. Like you can make a podcast and
• 15:48
  you can sit in front of a microphone and record it, but at
• 15:52
  the end of the day, if nobody knows about it, you're not going
• 15:55
  to get any traction. So I saw a market gap and it's a
• 16:00
  niche market gap that I'm working with.
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  So I'm structuring my life from what I know, coders are going to
• 16:08
  be gone. I mean, even high level coders
• 16:10
  will be gone eventually because AI bots will be able to do it.
• 16:15
  They'll be able to do everything that high end coders could do.
• 16:18
  So I'm going to be helping people from now on.
• 16:22
  I'm going to leave a note in the show notes.
• 16:24
  I'll link in the show notes. If you have a podcast or if you
• 16:27
  have a YouTube channel, please check it out.
• 16:30
  I'm here to help you. I'll do reviews of your channel
• 16:34
  to get you started. And if you're just starting out,
• 16:36
  I can help you too. But that's my path, you know,
• 16:39
  these other people that are either, you know, low level
• 16:43
  coders, mid level coders, I'm a high level coder, but I know
• 16:46
  it's going like that's going away too.
• 16:48
  So instead of sitting around waiting for my job, just like
• 16:50
  blink, it's gone. I am working hard to change my
• 16:55
  career and there's there's money to be made in what I do.
• 16:59
  So I see the see the future in it.
• 17:01
  So there you go. There's going to be a link in
• 17:03
  the description below. And also, if you just want to
• 17:07
  listen to it, Stan Stan dot store slash WILWALDON, you can
• 17:15
  get more information there. And I'm just starting up so, but
• 17:18
  I already have a bunch of client.
• 17:20
  I have a bunch of clients that I've already worked with and I'm
• 17:22
  still working with have some long term clients in the
• 17:25
  pipeline. So that's already started.
• 17:30
  So you know, Sam Altman is, you know, he thinks that it's going
• 17:36
  to happen customers, but they do want efficiency.
• 17:42
  You know, customers want efficiency.
• 17:43
  You want to get your problem solved as fast as possible.
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  But you want empathy, you want flexibility, assurance.
• 17:50
  And AI doesn't do that. AI is not a person.
• 17:53
  If you call up and you say, hey, man, I need some more time to
• 17:57
  pay my car payment because I got really sick.
• 18:00
  I had to go to the hospital. I had a $900 like check in fee
• 18:05
  for the hospital, then I had to pay $20,000 because my leg was
• 18:08
  broken. Your car loan will probably be
• 18:13
  like, all right, we understand. We're going to push this month's
• 18:16
  payment all the way to the back of your payments and then we're
• 18:19
  going to give you some reprieve for that.
• 18:21
  AI won't do that. They don't care.
• 18:23
  They have no feelings. What's the flexibility with AI?
• 18:27
  There's probably not any yet, but that can be programmed in,
• 18:30
  which is weird. And eventually that there'll be
• 18:34
  a program. Empathy will be a program.
• 18:37
  You know, there's Klarna. Remember Klarna, you know
• 18:40
  Klarna? They made headlines when its CEO
• 18:43
  claimed that an AI assistant was doing the work of 700 human
• 18:47
  employees. But then the CEO was like,
• 18:52
  that's not working for us, so we're going to hire some people
• 18:56
  back. They needed to add a clear path
• 19:00
  to a human support representative because people
• 19:03
  want to talk to people with money.
• 19:05
  Don't mess with people's money and don't mess with people's
• 19:07
  families. And this Klarna CEO was like,
• 19:10
  hey, we're going to replace all these people with a bot.
• 19:16
  And people that needed support didn't want to talk to an AI
• 19:19
  bot. It's because even though the AI
• 19:22
  bot seemed pretty capable, as far as I'm concerned, people
• 19:27
  want to talk to a person when it came to their money and that's
• 19:30
  just how it is. Like that's that industry.
• 19:32
  So there might be some customer support jobs still until they
• 19:37
  really ramp up the the language of these support a is, you know,
• 19:45
  Sam Altman also failed to address the risk the companies
• 19:48
  face by removing removing human agents too quickly like the
• 19:52
  Klarna one. AI is usually cheaper on paper,
• 19:58
  a lot of mistakes, a lot of fails, doesn't resolve issues.
• 20:02
  Sometimes the cost to reputation Ctr. is immense.
• 20:10
  People need to trust you. Multiple firms had to rehire
• 20:14
  staff after public complaints. You know Klarna was one of them.
• 20:19
  Now beyond the customer experience, though, because
• 20:23
  Altman said people's jobs are going to go away really, really
• 20:26
  fast. There's a serious question about
• 20:28
  employment stability. If customer service jobs are
• 20:32
  gone, that cuts a major entry level job market in many
• 20:36
  countries. The roles are often served up as
• 20:40
  early stepping stones into higher level employment.
• 20:43
  So you can start as a customer service Rep, work your way up
• 20:46
  through the company all the way to the top if you choose.
• 20:49
  So now removing these lower level jobs doesn't just affect
• 20:55
  current people though. It shrinks access to upward
• 20:58
  mobility for future users. So if you want a job in the
• 21:02
  future, you're going to have to get trained on at least a mid
• 21:07
  level role. So I guess in one way that's
• 21:11
  good because mid level roles will become the new low level
• 21:16
  roles, the lower level roles, the entry level roles, and then
• 21:20
  the high level roles will become mid and so on and so forth.
• 21:23
  So CE OS in the C-Suite, they're going to stick around for a
• 21:28
  while until there's an all AI company.
• 21:32
  Our AI overlords are here. My friends welcome AI overlords,
• 21:38
  I welcome you. But eventually, you know, like
• 21:41
  what does the CEO do? There's a lot of handshaking,
• 21:45
  lot of deal making, lot of person to person interactions.
• 21:50
  You might think that CE OS are worthless and they don't really
• 21:52
  do much and they just want your money.
• 21:55
  It comes down to relationships with CE OS.
• 21:57
  It comes down to how to lead a company and if these people can
• 22:02
  lead a company properly and continue with their AI
• 22:06
  workforce. I mean, I've met a few people
• 22:09
  that are actually CE OS of a company and they have AI
• 22:15
  workforces. They don't hire people.
• 22:18
  They basically run the company as if those AI bots are people.
• 22:26
  It's wild. And they're making a lot of
• 22:29
  money with their services. They don't tell people, they
• 22:32
  don't tell their customers that it's AI.
• 22:34
  They just say we can solve this specific problem with you or for
• 22:37
  you with our company because nobody like you're not not going
• 22:41
  to, you're going to sign up for a service, right?
• 22:42
  And you're going to fix a problem for us.
• 22:45
  You don't know who's working at the company when somebody fixes
• 22:48
  your problem. You know, if something is wrong
• 22:51
  with your with some, you know, a technician doesn't need to come
• 22:55
  out to your house to fix your TV.
• 22:56
  Sometimes imagine that like cable TVI don't know if you guys
• 22:59
  still have cable TV or just say your Internet.
• 23:02
  Like most of the time they can just reset your equipment
• 23:05
  remotely and eventually that'll all be AI.
• 23:09
  You don't need to know that person.
• 23:11
  You don't need to know their name.
• 23:12
  They just do it remotely. So something like that,
• 23:15
  something very basic like that. But if these are higher level,
• 23:19
  you know, accounting or something like that, the the CEO
• 23:23
  is definitely raking it in. I'll tell you what they make in
• 23:28
  I, I know I've seen the numbers. This is all legit, makes at
• 23:32
  least 20 million a year just from this AI company.
• 23:35
  And this guy's so smart, just sits back and relaxes most days
• 23:43
  and makes deals. And most of his clients stick
• 23:46
  with him. And so he just knows people.
• 23:48
  Like, that's why the CEO is important.
• 23:50
  Got to know people in order to get those sales and get those,
• 23:54
  get those AI bots rolling now. Altman also added some context
• 24:01
  about like, political things, too.
• 24:04
  He made strong claims in front of regulators and lawmakers, so
• 24:10
  now he is shaping the narrative, brought a is readiness and its
• 24:13
  benefits instead of somebody like Elon Musk.
• 24:16
  He's framing AI as an effective labor substitute so it helps
• 24:22
  push forward more favorable regulations and positions Open
• 24:27
  AI and its sub companies as a core player in the future
• 24:31
  economy. Now at the same time, this
• 24:33
  creates a pressure to accelerate development in deployment,
• 24:36
  though, even when results are not fully reliable like we
• 24:40
  talked about before now. Altman also warned of an
• 24:45
  approaching crisis of AI driven fraud.
• 24:48
  And this is scary. He believes the technology is
• 24:51
  evolving faster than institutions are prepared to
• 24:54
  handle, especially in terms of how bad actors will use AI to
• 24:59
  deceive people at skill. You know, the, the Prince
• 25:06
  scandal or not scandal, the, the, the Prince fraud when they
• 25:12
  call you up. And then, hey, we're the Saudi
• 25:14
  Prince and we need, you know, we need $10 and we'll send you
• 25:18
  $1,000,000. You just want $1,000,000 from
• 25:20
  the UAE or whatever it is. Those things will happen again.
• 25:27
  Those things will continue to happen.
• 25:28
  They will bombard your phone and it's already happening AI voices
• 25:32
  to just robo dial every phone number ever and if somebody goes
• 25:38
  like or they'll say something like there's a crisis in your
• 25:42
  family. We need money for the hospital.
• 25:45
  This is the hospital calling we in order to, you know, in order
• 25:50
  to, you know, save your friend's life or something, who knows?
• 25:54
  Like everything's on social media now, right?
• 25:57
  So their bots can scrape social media.
• 26:01
  Find out who your friends are, find out who your family is and
• 26:04
  then pretend to be a hospital and say, you know, your Aunt
• 26:08
  Marge is in the hospital. She can't have the surgery, this
• 26:12
  life saving surgery unless we get, you know, some money and we
• 26:16
  can take the credit card right now and we'll save her life, you
• 26:20
  know, and you can you just send us as much as we as much as you
• 26:24
  can right now and then we'll start the procedure.
• 26:26
  And then when it's done, you know, she'll we'll worry about
• 26:29
  the bill when she's done. So what are you going to send
• 26:32
  it? Like 500 bucks, 500 bucks is a
• 26:36
  lot of money in other countries, 500 USDA lot of money in other
• 26:39
  countries. So, and plus it's free.
• 26:42
  It's kind of free money for these AI agent groups, these
• 26:47
  fraudsters. So who knows?
• 26:50
  I mean, those are things that will happen in the future.
• 26:52
  It's, you know, this coming very, very soon to a phone near
• 26:56
  you and emails and you know, e-mail scams have been around
• 27:01
  for a long time. Phone scams have been around for
• 27:02
  a long time. Texting scams have been for a
• 27:05
  long time, but it's going to happen even more chat rooms, you
• 27:08
  know, Discord bots, things like that's going to happen and
• 27:11
  everywhere on the Internet, you know, you got to get you're
• 27:16
  going to get frauded here. The cost of a single fraud could
• 27:22
  be very high, though. Now, how fast can AI automate
• 27:28
  and personalize those attacks? Sam Altman said he's concerned
• 27:32
  that once AI gets better at imitating humans in real time
• 27:36
  with real voices now, the volume of credibility of fraud attempts
• 27:41
  could overwhelm current defenses.
• 27:42
  So there's not enough, not enough defense in place right
• 27:47
  now. And I think what Altman is doing
• 27:49
  is he's positioning open AI in himself as a defense company.
• 27:54
  So Elon sends rockets into space with Department of Defense, you
• 28:01
  know, cargoes and Sam Altman down here on the ground is
• 28:06
  lining up defense for maybe the Department of Defense for fraud
• 28:10
  or for other things the Department of Defense could be
• 28:13
  interested in. That's a lot of money.
• 28:16
  You know, if open AI needs influx of cash, let's go to the
• 28:23
  government, go to the Department of Defense.
• 28:24
  They have all the money. On one hand, Altman is
• 28:28
  presenting AI as super smart, error free labor that deserves
• 28:32
  trust over time, and on the other hand, he warns it will be
• 28:35
  used for dangerous scams that are very hard to detect.
• 28:40
  That's a huge challenge for AI companies.
• 28:41
  How do you how do you fight this fraud and these scams while also
• 28:46
  building a product that's absolutely killer and awesome?
• 28:52
  So let me know what you think in the in the comments if you have
• 28:56
  it on your podcast platform. Also, if you need help with your
• 28:59
  podcast or your YouTube channel, hit me up stand dot store slash
• 29:04
  WILWALDON and I will absolutely give you my time and help you in
• 29:13
  the right direction to find the right audience or to tune up
• 29:18
  what you already have. Launch planning, podcast growth,
• 29:23
  podcast branding, audit your channel, and also the same thing
• 29:27
  with your YouTube. So thank you very much,
• 29:30
  everybody. Take care.
• 29:32
  Hey, thank you so much for listening today.
• 29:33
  I really do appreciate your support.
• 29:36
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• 29:38
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• 29:41
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• 29:43
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• 29:52
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• 30:00
  yourselves and each other. And I'll see you tomorrow.