THE ED MYLETT SHOW - Restructure Your Business Like Elon Musk with Former Tesla President Jon McNeill
Episode Date: March 24, 2026What if the biggest thing holding your business back… is something you’ve never even questioned? In this conversation, I sit down with Jon McNeill, former President of Tesla and CEO of Lyft, and ...I’ve got to tell you… this one hit me differently. I’ve read thousands of books and interviewed some of the greatest minds in the world, but what Jon lays out here is a true operating system for winning in business and life. We’re not just talking theory. We’re talking about how Tesla went from 2 billion to 20 billion in revenue in just 30 months, and the exact framework they used to do it. Jon breaks down what he calls “The Algorithm,” a five step framework that challenges everything you think you know about how businesses should operate. And I mean everything. From questioning every assumption you’ve ever accepted, to building systems that prioritize speed, efficiency, and real innovation, this is the kind of thinking that separates the elite from everyone else. What really hit me is this… most of us are not losing because we lack effort. We’re losing because we’re solving the wrong problems or following outdated rules. We get into some unbelievable stories from inside Tesla that prove this works in the real world. One of them completely blew my mind. Faced with a challenge to cut production costs by 50 percent, Jon and his team didn’t tweak the system… they reinvented it. What started as a simple idea inspired by a toy car led to a manufacturing breakthrough that changed the entire auto industry. That’s what happens when you stop accepting “the way it’s always been done” and start thinking differently. But this conversation goes deeper than business tactics. We talk about leadership, culture, and what it really takes to build something meaningful. Jon shares why the best leaders “eat their own dog food,” how to identify the one or two things that truly matter in your company, and why humility combined with confidence is the ultimate competitive advantage. He also opens up about the personal cost of operating at that level, and the importance of knowing when something is no longer aligned with who you are. This episode is for anyone who wants to think bigger, move faster, and stop playing by rules that no longer apply. If you’ve been feeling stuck, overwhelmed, or like you’re working hard but not breaking through, this is the reset you’ve been waiting for. Jon doesn’t just give you ideas… he gives you a blueprint. Key Takeaways: Why “question everything” is the first step to breakthrough innovation The 5 step Algorithm that drives speed, efficiency, and massive growth How Tesla cut production costs by rethinking the entire system The danger of following legacy thinking in your business Why great leaders focus on only one or two truly critical priorities The balance of humility and confidence that defines elite performers What the future of business and AI really looks like and why opportunity is still massive 👉 SUBSCRIBE TO ED'S YOUTUBE CHANNEL NOW 👈 → → → CONNECT WITH ED MYLETT ON SOCIAL MEDIA: ← ← ← ➡️ INSTAGRAM ➡️FACEBOOK ➡️ LINKEDIN ➡️ X ➡️ WEBSITE Learn more about your ad choices. Visit megaphone.fm/adchoices
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This is the Edmunds show.
Okay, welcome back to the show, everybody. So today is going to be tremendous. I just finished
reading this book. I have to tell you all, it's probably read 2,000 books for the show.
I put this in the top 1% of all the books I've read doing this show.
The author, he's had a little bit of success in his life.
He was the president of Tesla.
You've heard of them before.
CEO of Lyft.
He sits on the board of General Motors and Lulu Lemon.
He's had a bunch of exits himself.
This is a true, I'd call it like a master class in business with a theory and a philosophy that you'll be able to follow today.
So it's heavy note-taking as well.
I'm really excited to have him here today.
And then I didn't know he was a Boston dude as well.
So it's great to have you here today, brother.
John McNeill, welcome to the show.
Thanks.
me in.
I've told you, I've taken screenshots of the book and sending it to friends of mine.
As someone who's built some businesses and exited, I think I know when I read something true,
but I think I also know when I've read something I've not read before.
And so the book, you guys, is the algorithm.
I want to make sure I get that in early.
And it's really like a five-step algorithm that you talk about that I was asking around,
like, is this his?
Did he learn it from Milan?
You know, kind of back and forth.
And so why don't we start with where this comes from?
I know from reading the book.
and then a brief overview of the five steps of the algorithm.
Yeah, so where this comes from is a framework we developed
while we were trying to grow Tesla
from $2 billion in sales to $20 billion in sales in 30 months.
Crazy.
So 10x in 30 months, no playbooks for that,
no like case studies you could go read.
So we were really kind of inventing it as we went.
And we started to see these patterns in attacking challenges.
And so we bake that down into what we called the algorithm
so that we could communicate it.
So people would know, like, if we were working with the team what we were up to,
but we also wanted the teams to know they could use this tool too.
It didn't require Elon.
It didn't require me.
And so I would say it was something that we cooked up and invented while we were on this journey,
the whole company together.
Part of it is we'll go through the steps here in a second.
More and more as technology's changed now with the advent of AI, I think this is even more relevant.
it, you correct me if I'm wrong, but part of this is about speed and efficiency, I would almost
call. It's a lot about speed and efficiency, because you have to move so fast. In our case, we were
growing from 4,000 people to 40,000 people, so you've got to have 40,000 humans making very
rapid decisions, way faster than we could make them. And so part of the goal here was to equip
the front lines, and that's why the book is told through the stories of the people that are
on the front lines. Yes. Because you can see normal, everyday people are doing this.
It is. And one thing, and again, I'm teasing the five, we're going to get into the five parts of the algorithm here in a minute.
By the way, the reason I'm willing to do that is, I want you all to know this. The book is so thick with information that just knowing the broad overview of the algorithm is not sufficient in learning what's in the book. So I think we're comfortable going into it.
But I wanted to start out. One thing that surprised me, when Alon hires you, right, this is a rule for business I didn't think of. He says to you, you say in the book that he was looking for another.
entrepreneur to be kind of his right hand and a guy slash that was used to almost running out
of cash most of the time.
Yeah.
That just surprised me.
Normally I'd be thinking, I'm the entrepreneur.
I want to hire an operator.
But that's absolutely not what he was looking for in you.
No, he tends to hire orthogonally, is what he calls it, like people that have not been
in the industry or role before.
So the entire management team, really, nobody had been in the car business.
And when we were getting to know each other, I kept saying to him, I don't think I'm
your guy.
I think you need a big company guy.
your company's
twice as big as my biggest company.
And he said,
no, no, not.
That's exactly what I don't need.
And I said, why?
He said, I need, as you said,
I need a fellow entrepreneur
because you know what it's like
to carry the burden of payroll
on your back and going to sleep
at night, making sure that you can make
payroll the next week.
That's a pressure that big company
people haven't faced.
And he said, you need to know
the entrepreneur's kind of life
burden, which is, in his words, it's staring into the abyss while chewing glass.
That's good.
He's like, I need somebody that's been through that.
And he said, the other thing that entrepreneurs know how to do is allocate capital.
Yeah.
Because you have, you don't have unlimited capital.
You can't go to the market typically as an entrepreneur.
So he said, I run this place like a private company.
Yeah.
And so we don't carry much cash on the balance sheet.
Every nickel has to matter.
Well, not only do you not carry a lot of cash in the balance sheet, this blew my mind.
This is Tesla, right?
Right.
And now, as we fast forward, we're looking at in his case, arguably probably the first
trillionaire in the country.
He's on his way.
He's on his way.
He's the odds-on favorite if we're going to have one.
Right.
But the company actually had three months operating cash at any given time.
Right.
That's incredible to me.
Three months cash on a company on that scale and that scope that wanted to grow that quickly.
Yeah.
And again, this is his mindset as an entrepreneur.
If you fill the balance sheet with a lot of cash, people get soft, in his words.
So he said, you know, I want imminent death around the corner.
And it was even tighter than that.
And we had three months worth of cash.
We had 70 days of payables.
That's crazy.
So we had 20 days of cash.
That's crazy.
There is no room for error in this equation.
You know what it made me?
I wasn't, this isn't in my notes I wanted to ask you.
But I want to ask your opinion about this.
It's not in the book.
We'll shift just for a second.
based on that and that experience and that philosophy,
you know the world we live into now.
Everybody's raising money.
Everyone's giving away equity quickly.
It's a raise, raise, raise, rate.
Literally, almost daily, probably like you.
I'm getting hit with some raise for some thing.
And I've always felt like sometimes these folks that are raising money prematurely are,
they've got a false sense of reality in terms of success of the business,
in terms of cash, cash on paper, et cetera.
Do you kind of think that culturally that's almost a perversion?
that's happened in the business marketplace?
I think it's a real watch out.
I talked to young CEOs about this,
about this very topic.
Like, if you load your balance sheet up,
everybody in the company knows that.
And so therefore, people aren't rubbing nickels together.
They're not being efficient.
They're being expedient.
And when you're expedient, you're burning cash.
And when you're burning cash as an entrepreneur,
you're giving away your equity.
That's absolutely.
It's so expensive.
It is.
This is so good.
Okay, so based on all of that,
now with that backdrop, talk to us about the algorithm.
So the algorithm, we basically,
We came up with these five steps that are core to how we drive innovation and solve problems.
So good.
So I'll just run through the five steps, then we can talk through some examples of these.
But the first step is essentially question everything.
Question every requirement that somebody's given you, a question, the status quo, question, question, question.
So you can rip into what the essentials are that you need to deliver.
Once you know that, then you develop a process from end to end that delivers that the most efficiently.
you optimize the heck out of that just by doing it manually.
And we'll get into some examples of that.
And then you apply speed because you cannot have a process,
deliver quality with speed or without,
you can't have speed without quality.
So you get both.
And then this is surprising the last step,
given that we're tech people.
The last step is automate last.
Yeah.
Because if you automate upfront,
you're pouring concrete around your process.
And if you discover improvements,
it's really hard to improve it
because now you've got to go blast out the concrete
of the software you developed.
So those are the five steps of the algorithm.
Let's talk about the application on them.
And by the way, everybody,
you've got to get the book
because the levels that are in the book
sort of illustrate the principles
better than even probably what you and I
will be able to do today.
But one of the stories in the book,
I've tried to do business in China a couple times.
Yeah.
And it's sort of known
and I don't, I'm probably overstating this, I've got to be careful, but it's sort of known in the
business world. It is the hardest place of the developed nations to try to go do business.
It's really hard. And in your case, if you're going to go over there and build a factory,
they're getting a piece of it, right? And you have this great story in the book where Alon says
to you, no, we're going to own everything in there and you go over there and get this thing done.
So to me, that follows, that falls under question everything. Yeah. Is it true that that
's the case? Yeah. Can you tell them that story? Yeah. So in the U.S., we produced,
15 million new cars a year. And historically, we've been the biggest in the world.
China's twice us. They do 30 million new cars a year. So if you're running a car company
that's tight on cash, eventually you want to get to China because it's a huge market.
But as we sat down with our China teams, they said, hey, you have to realize that every
American company that goes to China has to have a joint venture. And the requirements of the joint
venture are you split the cash 50-50, the profits. And so that's, that's a company. And so that
meant we were going to get half of it than we thought we were. So the first step of the algorithms
question everything. So we started to question our China team and said, is there a way that we could
do this without a joint venture? And they said, no way. No way. No way. This has never happened.
GM doesn't have that. Procter & Gamble doesn't have that. Coca-Cola doesn't have like, no, there's no
way this is going to happen. And so Elon every once in a while he gets his twinkle on his eye and he and I
kind of riff on stuff. And I could see he's getting this twinkle in his eyes, turns to me,
he's like, how would you be up for, would you be up for the first joint venture in China
that doesn't share any economics? I said, I don't know how to do that, but I'm a challenge
accepted. So I went to China and sat down with our team and said, explain to me the Chinese system
so that I could understand the base assumptions. And they said, okay, two things. One is that in
America, the best students typically go off into business. They go to Wall Street. They go to
consulting. They go to tech. That's not the way it works in China. Half of the best students go
into business. Half of the best students go into government. They're sort of split into two groups.
And they, as their new graduates of the top schools, they get a neighborhood. And they're the
party official in that neighborhood. And they have one goal. They get a base salary and they get
a two to three X their base salary and bonus for job growth.
It's the only metric.
Grow jobs in your neighborhood.
Now you get a part of a city.
Do that in a part of a city.
Now you become a mayor.
Do that as a mayor.
Grow jobs.
Now you're a party official in the province.
And it goes all the way up to the top.
So they have a system of government where everybody is operating off the same metric
and that is job creation.
Okay.
Super powerful and really simple.
And they said,
so industry and government are working hand in hand all the time to
create jobs because the way you survive in a single party system is you got to keep everybody employed.
So that's why this is important. So it said, that's thing one is creating jobs is a big deal.
I said, okay, good. Check the box. We're going to create a lot of jobs. Second thing they said,
you need to understand is every year they produce a five-year economic plan of industries they want
to enter and eventually dominate. And this was 2015 and they just published their five-year plan.
I said, what's in the five-year plan? They said, five things. I said, okay, what are they? They
electric cars, batteries,
acinct chips,
autonomous software.
And I'm like, okay, we have,
we got like four of the five.
We are in a strong negotiating position here
because every party official wants us
because we can help them check their boxes.
So we negotiated hard for a year,
kept saying in these negotiations,
we want a JV with no economic sharing.
And eventually we got it.
That's unreal.
Because we question that first assumption.
But then you've got to like learn
what's the what's the what's the what's the what's the chess board look like and how can you maneuver through
this to get to your goal it's not just you can will something into into existence you got like
figured out do you think that was easier because you were a essentially a startup company as opposed to
implementing this algorithm into general motors or g e or someone listening to this who's they've they've
owned 25 dry cleaners in their family for 40 years right yeah and now i don't even know that they
know what their legacy thinking has become, right?
Like, how do you step back and say, question everything?
What are the things you should question?
That was kind of the thing for me reading the book.
Like in some of the business, I'm like, well, we've just always done it that way.
Uh-huh.
You know, everything is we've just always done it that way.
And it seems to work pretty well.
Or I always want to wonder, are we winning in spite of the fact that we've always done
it this way or because we've always done it this way?
It couldn't be both, but I think it is, to your point, it's easier to do it in a startup
than it is in a 150-year-old company.
like GM. But GM has done this. As they've introduced their latest models, it used to take them
two to three years to develop a car from idea to coming off the line. And so they decided to hand
a young engineer named Josh Tovel, 37 years old, their first Hummer EV project. So this was going to
be their halo car that they're bringing into the market has every feature imaginable. And Josh had this goal.
I'm going to take a 36-month process
and make it an 18-month process.
And to do that, the president and CEO of the company
said, what do you need?
And he said, I need you to suspend the rules.
Because there are a bunch of, like,
way we've always done it, things around here
that aren't productive at all.
And so he was able, in his team,
were able to suspend the rules
and put a team of ninjas together
that actually delivered the car in 14 months.
That's crazy.
And it's, so it can be done in 100,
150-year-old company, too.
It can be done.
Speaking of putting a car together, you know I read the book based on these questions, right?
So I just, I poured into this thing.
Can you tell them about the casting example in the book?
Because to me, this was a pivotal thing in the development of the company.
Totally.
And there's one way to do it, and then maybe there isn't anymore, right?
Right.
This is a pivot point almost in the company's history.
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So Elon, his method of leadership is to set crazy goals and then have people around him that
will accept the challenge of the crazy goal and try to figure it out. So we're in a management team meeting
one day and he said, guys, like to compete with the Chinese, this was after we'd started our Chinese factory
and we could see how efficient the Chinese auto industry was.
He's like, to compete with the Chinese,
we had to take like 50% of the costs out.
And so he turns to me and Doug Field,
who was the head of engineering at the time,
now Doug runs EVs at Ford.
He turns to us and says,
guys, can you figure out a way to take 50% of the cost out?
So Doug and I go for a walk.
And we go for a walk in the factory,
and the factory is about two kilometers long.
So it's 1.3 miles, basically, 1.2 miles.
And a car factory is kind of divided,
two. The first half of the factory is a bunch of robots putting the skeleton in the car together.
And the second half of the factory is people hanging parts on that skeleton. And in the first half,
it looks like an orchestration of hundreds of robots because it is. And there are hundreds of
parts that are getting welded together to create the skeleton in the car. And Doug and I are in the
middle of the factory between the two halves, and we're looking at this end of the factory that's
all robots and building the skeleton.
And Doug says, I think I have an idea to get rid of 50% of this.
And I said, what is it?
He said, I got to go home and do some studying and reading about it, but I think I have an idea.
See you tomorrow morning.
So he comes in the next day.
And he says, here's the idea.
And he rolls a matchbox car across the table at me.
I'm like, Doug, what's this toy car?
It's as big as my thumb.
He said, yeah, this thing isn't welded.
It's casted.
meaning they pour metal into a mold
to create the car.
And I said, well, Doug, the reason they can do that
is because the pressure you have to have
to keep molten metal in place
is super de-duper high.
You can do that for something as big as your thumb.
You can't do that on car parts.
They're too big.
Like you blow this factory up,
literally trying to pressurize that molten metal.
He's like, I think we could figure this out.
Are you willing to go on like an exploratory journey
with me to figure this?
out. I'm like 100%. What do you want to do? He said, do you have anything in the factory that is
excess aluminum that we could melt? And I said, yeah, we've got a bunch of like scratch and dent
wheels that we pull off cars because they're scratched and dented and we put them out back.
And a recycler comes by every week and picks them up. He's like, awesome. Tell the recycler not to
pick them up anymore. I'm going to put like a smelter back there. And with a few engineers, we're going to
start dumping these wheels into the smelter and we're going to melt metal and we're going to put
them into molds and so we literally start to do that like we're literally chucking wheels into
this smelter it's melting the aluminum and then we're pouring it into a mold as big as our hand
and pressurizing it and getting that to work and then we're pouring it into something that's maybe
a couple of feet wide and we go step by step by step until we get to the point where we've got
a machine that's super powerful and sophisticated that can take half of the car
skeleton and mold it.
Unreal.
And this is called castings.
And so if you were in the Fremont, California factory, you'd see that half the place is robots
and it's building these skeletons.
If you go to the Austin factory where they're building the Model Y, there is no half
of that factory.
Factories half the size because they're just building castings.
And all you do is stick these two things together.
And you got a car.
Unreal.
And so we figured this out, and it meant that cars were a lot easier to manufacture.
the toughest things in car manufacturing is get everything to align.
Sure.
And that's because when you have a skeleton that's got several hundred parts, it's really hard to do that.
But when you've got a skeleton has two parts, it's super de-duper easy to do that.
So it made the manufacturing quality go up.
And there are all these benefits from that.
But, like, it's eight years later now.
We invented this eight years ago.
The car industry is trying to do this, and you cannot buy a casting machine anywhere now.
Because Toyota's trying to figure this out.
Ford's trying to figure this out.
GM's trying to figure this out.
Castings are the thing.
But it came from...
Why can't you buy the machine?
Because there's such demand
and there's so few of them.
Okay.
Yeah, because car companies now are like,
gosh, these guys really totally have changed the industry.
Isn't it unbelievable when you're listening to this,
everybody, that a company like Tesla,
like a pivot point like that,
I got an idea, let me think about it overnight.
He rolls a little matchbox car at you,
and that completely transformed the ability to build these cars at scale
and with the efficiencies in them.
Totally.
Doug's, like, one of the things I loved about being on these teams is,
like, people were, like, pretty analytical,
but really creative too. And Doug's one of those. He's absolutely a creative genius. And so for him to
come up with that, he completely changed an industry with that one thing. But it also came from a leader saying,
I'm not setting a goal for 10% or 5% or 20%. I want you guys to whack 50% of the cost out of this thing.
Yeah. Yeah. It's amazing that we'll get to that in a second. But what's amazing to me is all of these
companies essentially had legacy thinking the entire time. All of them had the means, the capital,
the engineers all sitting there that could have done what you guys ended up doing.
But because they don't question everything, because they're not thinking about efficiency,
because they're not running the algorithm.
That's what I mean by the blind spot in your business, everybody, that you, even if you're a real estate agent,
what is it that everybody's always done that doesn't need to be done anymore?
Totally.
It's so, it's mind-blowing to me.
The other part I want to ask you, so he throws this thing out, 50%, let's cut the cost.
First off, he set a tone.
I assume in the company where bad ideas were okay as well.
Yeah. Yeah.
And that's something in most companies, too.
People are afraid to kind of, because if you just kind of fall in line, you're probably going
to get a paycheck that month.
I assume one of the good things, I'm sure there are other things that weren't good.
But one of the things about working with him is he fostered an environment, is it fair
to say, where ideas were welcomed that questioned tradition?
Totally.
Like we would fail constantly.
And if you look at his other business, SpaceX, I don't know.
I mean, dozens of rockets they sent up into the sky that exploded.
Right.
Like the total mission fails.
And there's hundreds of millions of dollars blowing up in the sky, literally.
And it wasn't like people got fired.
It was, what can we learn from that?
Because we knew we were on this learning cycle, and humans aren't perfect.
This side of heaven, you're going to screw up.
So we wanted to learn from the failures.
And we kind of had this mantra, which is learn from the failure, don't repeat it.
and if people were repeating failures, that's a problem.
But if they're learning from it and incrementally getting better, that's what we wanted.
Because the goals were so high that we knew you couldn't achieve him on the first whack.
Was it an environment there, you said in the book that he has blind spots as well.
And this interview is not about him.
We all do.
Was it hard?
I don't mean that I had friends that are pretty close.
So did you sometimes feel like you were the adult in the room?
I was trying to be the steady hand in the room for sure.
That's like what I mean.
Yeah.
Yeah.
And oftentimes,
take the other side of the argument.
Like if he wanted to produce a car,
which he did when we launched the Model 3 in 2018,
he wanted to take the steering wheel and the pedals out
because he thought we were that close to autonomy.
And so I had to pull him aside and say,
let me take the other side of this argument.
If we don't get autonomy done,
now we've got a bunch of cars without steering wheels and pedals,
and we're going to cause our own extinction event.
Whoa.
Do you want to be the source of the extinction event?
in. He's like, no, I know. I said, yeah, I don't either. So how about we hold off on this? Because
even if we do get autonomy, I'm not sure the government's ready to put cars on the road. So I said,
there's two strikes against us. I don't want to cause the extinction event here. I know you don't
either. And he would come back and say, thank God we had that discussion. Okay. Yeah.
One personal thing you share in the book, and then we'll get back to the business stuff, but I've met you,
you mean, you walk in a room, you know, you acknowledge everybody. You've got tremendous people skills.
you got great energy.
But it sounds to me as if over time there,
at least your wife says to you at some point,
you're losing who you are.
I'm misquoting her here.
You can clean it up for me,
but I don't recognize this guy.
I'm losing you.
The downside of working with someone who,
you know, Alon's had mental health issues
that he's been very honest about,
the downside of working in an environment like that long term
is what, and what did it do to you?
Why did you ultimately decide this is the,
end of the road for me. I found myself, and Walter Isaacson writes about this in his book.
Walter was writing his book on Elon, and he called me and said, hey, I want to talk to you about
Elon's mental health challenges. And I said, I'm not sure I want to talk about those.
He said, well, Elon actually gave me your number. He wants you to talk about those, because he wants
people to know that if they're struggling, there are other people that are struggling too, and he's
one of them. And you can be successful even if you have mental health issues. I said,
Walter, like, this stuff is so personal. Can you just, want you to give me a few hours? I'm going to
call Elon and make sure he's okay with this. So I called Elon and said, look, he wants to talk about this.
Are you okay with me going there? And he said, yeah, because I want people to know if they suffer
from bipolar, that they can get through this too and have a successful life. So I got back together
with Walter. Walter, Walter said, tell me about the implications of
dealing with somebody with bipolar.
And I said, well, the implication for me was I'm pretty good at running businesses,
but I have no skill set in helping somebody through severe depression and bipolar.
And I found myself dealing with that more and more.
And I was trying as best as I could to help him, but I didn't have the skill set.
And eventually my wife saw the symptom of that, which was, she said,
you are stressed out and upset all the time.
and I didn't recognize that,
but she had enough perspective to recognize it.
She said, why do you think that is?
And I said, I think I know why it is.
I'm trying to solve a problem for which I have zero skills.
This is like me getting thrown into a major league baseball game,
and I'm on the mound,
and I have no idea how to throw a ball 90 miles an hour,
much less make it move.
And I said, I feel like I'm failing at this.
And she said, you need to decide whether this is the role for you.
I actually went and sat down with Elon and said, I love you and I love this job,
but this job has become more about helping you with your mental health issues than it is running Tesla.
And I'm not equipped.
Wow.
Yeah. That had to be one of the hardest decisions of your own.
Totally hard. Totally hard. Yeah.
You, what is it like? What's the other side of it?
Sell us the dream or the nightmare.
I've had friends of mine that I've asked, I've had it, I've been fortunate that I've been involved compared to you.
It's ridiculous, but I've had some small exits.
and some success in my life.
But I've had other friends where we've gathered
and talked about that journey
and had people ask us, you know,
if you had to do it all over again.
I think the guy was running Navidia said this or something.
If you had to do it all over again,
what advice would you give to me?
And he says, I probably wouldn't do it all over again.
And I'm wondering, what is it like, take us into,
what's it like emotionally, physically,
the good and the bad of being,
watching the dream happen for a company,
coming in when it's an idea.
Right.
and then taking it to a place that's, what is that like?
Like, all these entrepreneurs have a dream.
You've been involved with Lyft.
You've been involved with Lulu Lemon still.
You've been involved with Tesla.
I mean, your resume is bananas, right?
But even in the Tesla case,
what is this process like in your life when you go through it
and you see it happen?
I think maybe the core skill entrepreneurs have is problem solving.
And problem solving, you get to use the right side of your brain
and left side of your brain.
Left side of your brain is like you're analyzing the problem,
right side of your brain is you're creating solutions.
And you become this like ninja problem solver.
And out of those solutions, then stuff gets created.
And so that, for me, was the satisfying part.
Okay.
Was we're knocking down these problems.
And now we've got the ability to build a car for half the cost.
And if we can do that, a lot more people are going to be able to afford to buy the car.
So now this dream is starting to become reality.
The second piece of the satisfaction for me, though,
was teaching people how to do this
and then watching them do it
and then seeing that they were able to do
much more than they thought they could do.
They just had never been in the situation
where they were challenged and equipped
with the tools to do it.
You say challenges, is it being pushed?
I would say, I'll give you an example.
There's an example in the book of this woman, Nicky,
and Nikki ran delivery at the factory.
So people would fly to the factory
to get their cars delivered,
off the line, which is a pretty cool experience.
And she was doing this a couple of dozen times a day and had a team doing it.
And then at the end of the quarter, hundreds of cars would come off the line and they'd do
it several hundred times a day.
And I watched how effective a leader she was.
And we had this challenge worldwide where we didn't know how to deliver these cars very well
and efficiently.
And so I gave Nikki a battlefield promotion.
I said, Nikki, you're going to be charged of this globally.
And she looked at me for a second and looked like, she had a look at a look at terror on her face.
She's like, I'm not sure.
And I said, no, I think you can do this.
And we're going to help you.
Like, we're going to surround you.
We're going to teach you how to do these things.
Teach you the algorithm and tools.
And about six months later, she had mastered that.
Then we had a problem in the factory that was so vexing that even Elon and I and everybody else that was wrestling, we couldn't fix it.
So I said, Nikki, you're going to get now your second battlefield promotion.
You're coming to the factory with me.
We're moving our desks down there.
We're going to solve this together, but you're going to lead it.
and so that is not necessarily a push.
It's more of a pull.
It's pulling somebody onto the playing field and saying,
I believe in you.
I'm right behind you.
I'm going to support you,
but you can do this.
And she proved time and time again
that she could step up and do that.
It's interesting.
I came here today wanting to learn myself,
you know,
but challenged my own thinking.
And if you would have asked me,
one of the great qualities of an entrepreneur,
the first thing I would have said would be like vision.
Yeah.
The ability to stretch.
That's true.
But you said solving problems.
That's the first thing that came to your mind.
Do you think that that's the difference between a president and a founder?
Or do you think that that's just, why would that your answer, do you think?
Because that was clearly your first answer.
Well, we, for a living now, I start companies.
And so before I met Elon, I had six companies, not at the same time, but six companies kind of in a row.
We wrote the business plan on my kitchen table,
scaled the company, sold it to a public company.
Did that six times in a row.
And now I invent companies for a living.
I'm back to my roots.
And the reason I say problem solving is because we'll typically start with a big opportunity area.
And we'll say, we've got to create a company in this area.
We've got to figure out how to do that.
We're going to create a vision eventually.
But first we've got to figure out how to really make this company come to life.
That's interesting.
And a lot of that's problem solving at the very beginning.
So I'll give you an example.
Like we saw that in the cybersecurity market, last five years have been about 1,200 companies created in cybersecurity,
all focused on the cloud, which I totally understand because it's easier to write software for
Amazon, Azure, and Google than it is your local dentist who could have any form of a tech stack.
And so we said, hmm, how many, how many cybersecurity?
companies have been created for the local business.
None.
Isn't it interesting that most of the ransomware is happening in small and medium-sized businesses?
Yeah, because they're totally vulnerable.
And they're vulnerable because their tech stacks are really hard to figure out.
And so we just took this challenge and said, let's go create a vision.
Here's the vision.
Let's create a cyber company for the Main Street business.
To do that, we have to solve a big technical problem,
which is how, heck do we do this for an infinity number of tech stacks.
Yeah.
So you know how when you're doing something that's good for you and then you stop doing it, all of a sudden you feel what the heck changed?
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diagnose, treat, cure, or prevent any disease. All right, I love when you guys send messages
out on social media about the show. And lately, you've been getting a few of these messages about
my wardrobe. I was wearing this sweater, this tan sweater. And I kept getting all these messages
from guys going, where did you get that sweater, bro? So I'm going to tell you where I got it.
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slash ed. Free shipping and 365 day returns. Quince.com slash ed. That's where the problem
solving comes in. Very good. And so we spent a year solving that problem and then boom, we've got a company.
And we looked like visionaries, but it was like both and you got to have the vision and you got to like
do problem solving to actually get there. It's really good. I've never heard that before. Everybody
should rewind that last two minutes. That's new. That's different. The other thing that you touch on in
the book, in addition to the algorithm five steps, I guess, or the five parts of the algorithm.
is culture, which is a big thing. If you go to any, if I go give a talk at, you know,
Harvard or some business school, I mean, obviously culture comes up and everything, but you
actually break it down in like three different components as well. So just, if I said to you
the word culture in a company, you would say what back to me? I would say like there's a secret
sauce, kind of secret ingredients to cultures that I, that, that I think are super successful.
And both of them are really about creating feedback loops. So the first is, does leadership
eat its own dog food? Meaning, meaning, so good in the book. Meaning,
do they use the product?
Yep.
And I was with a group of bank CEOs.
And I said, hey, raise your hands if you guys use your app, your bank's app on a weekly
basis.
No hands go up.
And I said, to be honest, I wasn't surprised by this because I'm a customer of a couple
of your banks and your app suck.
And if you use them, they wouldn't suck for another day because you'd be so embarrassed,
you would haul yourself down to the people that were responsible for that app and fix it.
But you don't use them so you don't know.
So you don't have a feedback loop.
And the company doesn't have a feedback loop.
And they think if it's acceptable to the CEO, it's acceptable to everybody else.
Very good.
And so I believe you've got to use your own product.
So I'm a board member at Lou Lemon.
I've been in five stores the last two weeks because I want a shop, a secret shop,
and I send our head of stores notes on every store visit.
Like here's what went great.
Here's what didn't go great.
And it's a feedback loop that she can get then to fix stuff.
Very good.
But the message there is, rather than sitting in headquarters, you want your leaders to be out doing that same thing.
And Tesla had this approach where we took a car off the line.
If you were in a senior management team, we took a car off the line every night.
And we would drive it home, drive it back to the factory the next day.
And within a half an hour, we'd have notes to the engineers.
And so the feedback loop of using your own product is super important.
And I'm shocked most people don't do this because it's just an easy habit.
That's thing one.
Thing two is there's a reason Elon can run so many companies.
And that is he'd spent a lot of time thinking about what are the one or two,
and there can only be a handful, existential issues for this company.
And for him, he says, I'm only working on those two.
I'm going to delegate everything else in the business.
But those two, I'm personally involved.
And so like in the car business right now, he's determined that there are two existential issues for Tesla.
One is autonomy.
If you don't have a car that's a chauffeur and another company gets there first, you're going to be out of business.
This is like a flip phone to iPhone moment.
And he really does believe this, I think, that if you're a flip phone maker like Nokia, Motorola, Blackberry were when the iPhone came out, your market cap didn't fall by half.
It went to zero.
zero. So that's existential. You've got to be first in that technology. So what that means is,
is that every week when he shows up to Tesla for one day, he's there a day a week,
he is only talking to the teams that are responsible for that issue. And because it happens weekly,
there's weekly forward progress because teams when they meet with the CEO don't bring their B game,
they bring their A game. And they come with solutions. And they come with solutions.
And they're moving that problem forward just incrementally, incrementally, incrementally, incrementally.
But because the CEO is personally involved, he can resource those needs and really drive forward progress.
And essentially what Tesla and SpaceX do then is they're creating a compounding advantage versus their competition every week.
And so if you look in space now, they've been land in rockets, parts of rockets and reusing them for six years, seven years.
and nobody can catch up
because they're seven years ahead.
They're already on to launch on their own satellites
and creating Starlink, etc.
While, like, Blue Origins try to figure out,
like, how do we launch one rocket
and catch one fuselage?
And so they've got,
I think their launch costs are 90% less
than the rest of the industry.
So they've got 90% market share.
Oh, my gosh.
And that just keeps compounding.
So the second cultural secret ingredient is,
as a CEO, have you figured out
what the one issue is in your company
that is going to drive survivability?
And are you working that every week?
So good.
And if you do, you're going to start to create advantage.
Do you hire for culture?
In other words, when you're hiring,
do you, is culture fit important to you?
We kind of hire for two things.
Like, we hire for, this is going to sound crazy,
this combination, but we hire for humility and capability.
And believe it or not,
and like everything you'd read about Tesla externally,
you'd think, boy, this is big ego-driven culture.
It's really a, it's very a humble, it's very humble culture in the sense that Elon will create
these crazy goals and the response from some of the most brilliant engineers in the world will be,
I don't know how to do that.
So it's a really humble thing up front.
Like, I don't know how to do what you're asking me to do, but I'll figure it out,
or we'll figure it out.
And so you want somebody who's got that humility, but also that quiet confidence to say,
I think I can go slay this.
I see that in you.
Well, it's, it's, and so then they'll fit in the culture, for sure, if they have those two attributes.
That's interesting, because my favorite people, friends, I've started to deduce, like,
who do I like to be around in my life? And it's, it's people with tremendous humility,
but they nuance it because they also have a high level of self-confidence as well. They told that
line. Yeah, exactly. These people that have tremendous confidence and bravado with no humility,
they become exhausting. Yeah, they are. They are. And then the people that don't have the confidence,
you're dragging them through life in business all the time as well.
So it's a really unique nuance.
You guys in the book,
this eat your own dog food part will stand out to you
and it's outstanding.
Tell us about what you're doing now.
I'm just sort of interested.
Give us the name and I know it's in.
Yeah, so we call this DVX Ventures
and what we are is a group of people
with an idea disease essentially for businesses.
And we create businesses from scratch.
So we're kind of inventors of companies.
and we'll take these in these have to be in big
kind of big opportunity areas where we feel like we're moving the world forward
and we've created 12 companies in five years
and we just have this systematic way of doing this
where we'll come up to the idea for the company
we'll get the first product into the market
we'll get it to post revenue and then we go look for a second or third time
entrepreneur who has had success but they don't have their next idea
and then we'll bring them in
and they can typically bend the curve of this business really fast.
Have you had any setbacks the last 10 years?
Oh, yeah.
Can you explain one, describe one?
Yeah, so like one of the things I observed at in the ride share industry was they have this
genius ability to be able to price a ride for what you're willing to pay for it
and what they can deliver it for at a moment in time and a street corner and a weather condition,
whatever, super sophisticated.
And so they have these pricing engines that can determine what you're going to deliver it for.
what people are willing to pay.
And every product company I've been a part of
or sat on the board of doesn't have that capability.
So Lulu Lemon set their legging prices in $108 like 12 years ago.
And they don't know why and it hasn't changed.
They don't know whether they could sell twice as many at $98 bucks
or whether somebody is willing to pay $118.
They don't know.
And so I said, you know,
we ought to take this insight from ride share
and being able to price dynamically
and bring this into the consumer.
market for products. So you could understand, like, hey, if I lowered the price on this thing,
could I sell more? And we'd actually done this at Tesla. We plotted out a demand and pricing
curve and figured out that we could drop the price on the Model S by 5 grand and sell 25% more
cars, which is really great insight and important insight to have. So my idea was, hey, let's start
a company to do this. Yeah, great idea. And we looked around and said, well, there's a bunch of carcasses
around that have tried to do this. And they turned out to be consulting companies, because
they couldn't get people to buy software.
So we brought a bunch of really brilliant people in,
people that have worked at Boston Consulting Groups, pricing group, et cetera,
and we start to build this product,
and we take it out to companies and companies like,
yeah, we really want the product,
but we want your consulting more because our business is so unique.
And one of the diseases, I think, in business,
is people think their business is unique.
It's really not, but they think it is.
And at the end of the day, they thought it was,
and we couldn't figure out how to create a software business out of this.
It was going to be a consulting business.
and consulting businesses are tough,
they're low profit, et cetera.
So my team turned to me and said,
we have to kill this idea.
And we do this a lot.
And I said, you're right.
Like, I thought this was going to be applicable,
but I was wrong.
And so we killed the idea.
You'll stop throwing good money after bad at some point.
Exactly. Exactly.
Do you, when you look at business right now,
so there's things Alon said that scare me,
almost, about what he thinks is AI is going to do to the world.
So you're there that,
entire time, right? And you've obviously had, you've proven your algorithm and your success,
not just in one place, but in multiple places. That's why it's a valid theory. When something's
pressure tested multiple times, then we know it works. In multiple contexts. Correct. Large, small,
yeah. You got it. That's why I found, I sound like the better salesman for the book than
even your public system here today, just because I believe so deeply in the principles in the book,
especially now. Give us just a peek. What do you think the next five years looks like?
I mean, he's actually said, I think, I quote him correctly, where he says, I don't think we're going to have a workforce anymore.
I think we're going to have, you know, guaranteed minimum income.
Everyone's going to be kind of floating around and the robots are going to do everything.
I'm oversimplifying, but not by a lot.
What do you see the next five years of business in general looking like and the changes, the warnings, the sense of direction you would give, someone listening or watching this today?
My reaction is a little different.
I think the first part is right.
I think humans are really good at seeing the first impact of technology, which is typically job destruction.
We're really good at that.
Destruction.
Yeah.
And we're really good at wringing our hands at that.
We are not good at seeing what's on the other side.
Right.
And the reason is because we can't see what's on the other side because the world hasn't existed like that before.
So I gave an example.
I grew up in very rural America.
I grew up in Nebraska.
And the whole country looked like the place I grew up in in the early 19th.
It's about 67% of jobs were in agriculture.
And this thing came along called the tractor.
And people started wring their hands and said,
67% of Americans are going to be out of a job.
This is going to be terrible.
Not good.
Terrible.
So the tractors roll out.
Farming gets a whole lot more efficient.
Today, I think less than 2% of our population is in agriculture.
But somehow, on the other end of that,
there was a second order effect that we
didn't understand. And the second order effect that we didn't understand was a couple of things.
One is if mass production of food exists, it makes it a lot cheaper, so people need less income
to afford food. And then, therefore, if they have more income, they can invest in other things.
The other thing that you could invest in was this tractor was the product of the beginnings
of an industrial revolution that then created all kinds of industries, cars and trucks and
trains, and you go on and on to today to computers and pharmaceuticals. So what jobs get
created. Well, car factories need people. And then you got to build roads. And so you have construction
jobs that get created. And I watched this even in my own life. When I was a kid in this rural place
to make a long distance call, I had to push zero on the phone and talk to a human being. And I knew
her. She was in my town. She was an operator for the local phone company. And what she did physically
was take my call and plug a wire into the national system so that that could create a link for a long
distance phone call. And she did this all day long. And then sometime in the 70s, really bright
engineers at Bell Labs figured out an electronic switch that could connect those two systems without a
human having to connect two wires or a wire on a plug on each side. And overnight, 800,000
operators were out of a job. Jobs gone. So it looked a lot like AI, big technical revolution.
All these jobs are going away. And this could be massive unemployment for these people.
but we couldn't see what was on the other side of that.
And some entrepreneurs, once they discovered that you could switch for free,
said, oh, we're going to make long distance calls free.
We're going to have this special area code.
It'll be 1-800.
And all of a sudden, you could dial anywhere in the country for free,
dialing 1-800-something-something.
That created a need for call centers.
And now there are millions, not 800,000 people,
millions of people employed in call centers.
We couldn't see that.
on the front side.
And so now we say, okay, AI is going to take all these call center jobs away
because the AI does support really well.
And there's going to be massive unemployment,
and we're going to have universal.
I'm not sure that that's the case.
If you look historically,
every major technical breakthrough has led to an increase in GDP for humanity.
Very good.
So, like, I don't subscribe to the doom and gloom.
We're not going to have jobs.
I just don't think that's the way the world has worked historically.
And this could be the first time in history,
and I could be wrong.
But I think we're going to see opportunities get created
that we can't even imagine sitting here today.
I'm glad to hear you feel that way.
Okay, last question.
So two-parter.
Okay.
By the way, I've enjoyed today so much.
Me too.
We could do six hours, and it would fly by.
Yeah.
A, commercial for the book.
Why should someone get the book?
And then be attached to it.
I've always wanted to ask somebody other than my normal circle of people that we talk about.
Entrepreneurial, I remember when Michael Gerber wrote the e-myth,
he called it having an entrepreneurial seizure.
I don't know if you've read the e-myth.
Yeah, I did.
having an entrepreneurial seizure. I think that's a great book as well. I do too. And that's,
it's like the vogue thing now on social media. Everybody wants to be an entrepreneur. I'm curious
as to your thoughts. So commercial for the book slash finish with who should be an entrepreneur.
Do you think everybody can be? Do you think it's a genetic thing? Do you think it's a
deal with a projection type thing? Just your thoughts on who should be one if someone's watching
or listening today and who maybe should be, not they're only being a number two and running a business of an
entrepreneur. Yeah, so like the reason I wrote the book was I wanted, first of all, I wanted
people to know how Tesla operates, and this is largely how SpaceX operates too, and there's
this operating system we use, and it's called the algorithm. And I wanted to get that out there,
that framework out there, so that we could drive more innovation in this country. And that was
my primary motivation. I've read books like Gerber's books and other books where they've had
a profound effect on me and my capabilities. And so I wanted to get this out there. In,
and the chance that that has that impact on somebody.
It's going to.
And then should people be entrepreneurs?
Like I teach, like you do in business schools,
and I'll have people, students come up to me at the end of class,
and I want to be an entrepreneur.
And my first response is, are you sure?
Like, are you really sure?
Do you know how hard this is?
This is really hard.
And it's really enjoyable if you're wired for it,
but it's superty-duper hard.
And I think when I was starting my career,
there was a guy that I was working for who spotted in me that I was an entrepreneur.
And he said, you ought not to stay here as an investor.
You ought to go be an entrepreneur.
And I said, okay, what do you see in me?
And he said, well, I see that you want to be hands-on solving problems.
Solving problems.
I see that you're a creative.
You want to create.
And you can't really do any of those in the kind of job that you're in right now.
And so those are the first two things I ask entrepreneurs.
Yeah.
Tell me how creative you are.
Like when you look at it, if you're looking at a situation,
do people often say to you, wow, you look at that with a different angle than all,
than the rest of us are looking at it?
That gives you the creative insight to create something that is going to be meaningful,
important.
And so that's the vision piece.
And then essentially, are you stubborn as hell?
Yeah.
Because you're going to hear no, 500 times for everyone, yes.
You just got to be able to ignore that.
You have to have the kind of short-term memory and, like, misplaced confidence that you can fix that.
And so, like, if you're just stubborn as hell and your creative, you're going to have a pretty good chance of success.
But if you're not, then this probably isn't the thing for you.
So good.
You said meaningful.
Today was.
This was really meaningful.
I've done a lot of podcasts, brother.
I'm really, really grateful that we did this today.
Same.
Yeah.
I'm really grateful you wrote the book.
Thanks.
You guys get the algorithm.
Just take my word for it.
Get the book.
You're going to be glad that you did.
It's going to help you in your business.
It's going to help you execute better.
It's going to give you a philosophy and a theory that he's applied in multiple businesses, but particularly Tesla, which has done pretty good.
Three months operating cash that still blows my mind.
John McNeil, thank you for being here today.
Thanks for having me.
God bless you, everybody.
Share today's episode.
Take care.
This is the Edmireland Shaw.
