GTM Made Simple

The companies using AI just to cut costs will be gone in a few years.

I break down what the companies actually winning with AI have in common, why growth is not optional right now, and why James Clear's systems principle from Atomic Habits explains every company you've watched fall apart in the last two years.

⏱ TIMESTAMPS
(00:00) Three GTM headlines nobody is connecting
(00:14) News 1: 2X raises $400M to build a GTM operating system
(00:45) News 2: Rackspace cuts 750 people to pivot to AI
(01:02) News 3: HBR — 83% say GTM is critical, only 38% can execute
(01:30) The real problem: AI on a broken GTM just breaks it faster
(02:29) What the winning companies are actually doing
(03:15) CEO advice: stop using AI to think, start using it to build
(04:36) Growth is not optional. Systems are not optional.
(05:02) The James Clear principle every CEO needs right now

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What is GTM Made Simple?

I'm Sangram Vajre. I've built two $200M+ companies, written three books on go-to-market, and designed a GTM operating system that over 3,000 companies operate on today. If I've learned anything, it's this: go-to-market is the business. Keep it simple, and it scales.

This is Go-To-Market Made Simple. Every episode, you're getting a backstage pass to three things I work on daily: the closed-room conversations I have with CEOs and founders working through real GTM challenges, the systems and frameworks I've built and tested over the last two decades, and the weekly mastermind sessions with our certified partners where we see what's actually working across thousands of companies and industries.

Go-to-market doesn't have to be hard. We're here to make it simple.

Subscribe, and if you know a CEO or founder who needs this, share it with them. Learn more at runongtmos.com/move.

Sangram here. There are three different views that are happening today this week. Literally looking at

the headlines right now. But there is a one sub headline that nobody's really talking about. So

I'm going to get into that. So number one news that came out today and go to market is this two

X, which is a marketing agency raised over $400 million to build what they're calling it, the

first go to market human agent services company. All right. Mouthful. But the translation is they're

building a go to market operating system. They just don't they can call it because GTM partners,

we have trademarked it and we've been building this for the last five years, but they have a

massive business and massive agency executing on this idea of helping companies build a human

genetic services, which is really the go to market operating system. At the same time, there's

Rackspace who just put out a news. Another one was LinkedIn, but Rackspace just is going to cut 750

people. That's 15% of their workforce to to pivot to AI. Now if you think about that, well, what does

that mean. Is that going to fix it? I'll get into it in a second. And at the same time, I just saw

another news from Harvard Business Review, which published that 83% of B2B leaders say that go to

market strategy is critical, but only 38% say they can actually execute on it. So wait a minute,

what's the problem? There are three different headlines. One is raising money, one is cutting

cost. And the research firms out there are saying that people can execute on it, even though they're

trying to do AI all the time. Well, here's the real issue. Everyone is chasing AI. Everyone, every board,

every CEO, every executive, you included, is looking at AI to solve all of your problems. But AI

layered on a broken go to market motion just makes the broken motion more broken faster.

Rackspace doesn't seem to be struggling because they don't have enough AI. That's really not the

reason why they're laying off so many people. They're struggling because they are deploying AI

on top of a good market system that most likely broken cutting 750 people won't think

magically fix their go to market issue is just going to make the problem cheaper to run. And the

execution gap that Harvard Business Review HBR identified. That's not new. What's new is that the

AI is widening it, exposing it, and compressing the timelines. and therefore what it's creating is

creating new channels, moving faster and go to market. Teams just can't keep up with all these

things. And when you can't keep up, you don't need to pivot. What you need is a diagnosis of what's

wrong. So the big news is that the market is waking up. We have two X raising $400 million to

build this seemingly human centric agent tick, which is translation good market operating system

PE firms are hiring fractional go to market quietly so that they don't need to hire full time

CMOs and crows. And there are five CEOs that reached out to me last week asking if they can

hire go to market fractional leaders from our 100 plus 35 partners that are all over the world.

Companies are winning right now. They aren't the one using the most AI tools. That's not. They may

be talking about it, but that's not what they're doing. They are the ones who got their go to

market system process right. And then they layer on AI on top of it. That's the edge. So if

I were to give you a blunt advice on, well, what is the CEO advice here, what should I think about it

and where should we go. Or here's what I'm gonna say. Don't use AI to think for you. This is what

people do. They use AI to think for you, but rather think how to use AI to build for you. Most

companies, most individuals, most CEOs, most leaders, they are using AI to think for you using AI. Hey,

tell me, what should I do? Tell me where should I go? Tell me what should I cut? Tell me what should

I do all those things instead? The best leaders in the world they're using, they think they're

thinking constantly about, well, how can I use AI to build a business? Make it profitable?

That is the whole point of business. AI was never made. I don't know why people are using it this

way, but AI was never made to just keep cutting cost. AI was made just like internet was launched

to build bigger businesses and better and faster and cheaper and more efficient. So when I see news

like this that are cutting jobs, and then another one where they're raising money, it's obvious one

business is looking at AI to to for efficiency and cutting cost. And over a period of time they

will be history. And another one is raising money to say we need to build, we need to hire, we need

to grow. And they're going to be the one winners at the end of the day. So wherever you are on the

spectrum of AI. Looking at all these three news, here's my big pieces and big point for you as you

as we wrap up, the top news for the week is that growth is not optional. You have to find a way to

grow. AI is not optional. You have to use for efficiency, but what is completely optional

is looking at everything as a problem. That's not the way to do it. You have to create a system. And

I will always love to quote James Clear, because his quote really rings true now more than ever in

his from his book Atomic Habits, is that you don't rise to a level of your goals. No, no one that

everybody has crazy amount of goals. You fall to the level of your systems. Therefore you see a

company closing down or are letting people go. They are falling down to the level of their

system. They don't have one. So they keep falling lower and lower and lower and lower or lower.

Whereas companies that are growing, they're hiring, they're raising money on the companies that are

actually going to start building something. So growth is not optional. What is optional is how

you react to it. So thank you for listening to the news. And if you want to hear more about it, just

follow this channel and let's keep moving.