Everything is GTM now

Something different is happening in revenue teams right now.

Founders are running their own outbound. Engineers are thinking in activation rates. Product managers are drawing up ICPs before the product even has a pricing page. And the people whose job it was to own all of this are watching the boundaries of their role dissolve in real time.

AI is changing how revenue gets made. And in doing so, it is blurring the lines between sales, marketing, CS, product, and everyone else. The GTM motion, once the exclusive territory of a dedicated team with a dedicated stack, is now something anyone can run.

Which raises an uncomfortable question for the people who built careers around running it.

The old world was clean

Not long ago, the lines were clear.

Sales owned the pipeline. They wrote the sequences, ran the discovery calls, handled objections, and closed. Marketing owned demand. They ran campaigns, produced content, and handed over leads. CS owned retention. They ran QBRs, tracked health scores, and flagged churn risk. Product built the thing. RevOps held the data together and made sure nothing fell through the cracks.

Everyone had a lane. The GTM team was a team, a real function with real ownership, not a description of what everyone does on Tuesday morning.

The roles were distinct enough that they had their own vocabulary, their own metrics, their own tooling, their own interview questions, and their own LinkedIn communities where they complained about each other.

Then the cost of execution collapsed

What changed was that AI got good at the parts of GTM that were always, if we are being honest, the grind.

It can now build the account list. It can surface the intent signal that tells you which accounts are in-market right now. It can research a prospect in seconds, find the right contact, write the first email, personalize it to the company's last funding round, and push it into your sequencer. It can enrich your CRM continuously without anyone touching a spreadsheet. It can score leads, suggest next actions, and flag when a deal is going quiet.

What used to cost a team of SDRs, a data analyst, a marketing ops person, and six different tools now costs a prompt and a workflow.

The skill barrier to running a GTM motion did not go down gradually. It fell off a cliff.

So everyone started running the play

When execution gets cheap, people stop waiting for permission.

Founders started doing their own outbound. Not because they enjoy cold email, but because they no longer need to hire three people and buy four tools before they can test whether anyone wants what they are building. They just run it themselves.

Engineers building PLG products started thinking like growth teams. When the product is the motion, the engineer who ships the onboarding flow is doing GTM work whether or not their title says so.

CS teams started running expansion plays that used to belong to sales. Because if you have the account data, the relationship, and a tool that can surface the upsell signal, why are you waiting for a handoff?

And product teams started caring about conversion, activation, and time-to-value in ways that would have felt like scope creep five years ago.

Nobody is waiting for the GTM team to approve the play anymore. Because the play is now something everyone can run.

The vocabulary leaked everywhere

You can see it in the language.

"ICP" used to be something a VP of Sales said in a QBR. Now it is in the Notion doc the founding engineer wrote on a Sunday. "Pipeline" used to live in Salesforce and in the minds of AEs. Now every startup team has a pipeline for everything, partnerships, investors, hires, press. "Signal," "motion," "sequence," "cadence," "play." These words have escaped the revenue team's Slack channel and colonized the rest of the company.

GTM has become a shared operating layer, the logic that connects the product to the market, and increasingly, everyone has a hand in running it.

When a founder cold-emails a prospect from a list their AI agent built overnight, that is GTM. When a PM designs a free tier specifically to create a land-and-expand motion, that is GTM. When an engineer ships an in-app prompt that triggers at the exact moment a user hits a usage threshold, that is GTM.

Everything is GTM now.

What this means if GTM is your job

Here is the part nobody wants to say plainly.

If your value as a GTM professional was in the execution, in writing the sequence, building the list, doing the account research, formatting the report, the version of that job that required a human is getting smaller. A good prompt and the right tool can now produce what a junior SDR used to grind out across a full week. That is just what happened to the cost of that kind of work.

But here is what a prompt cannot do.

It cannot read the room on a discovery call and decide that the real problem the prospect has is one they never put on the agenda. It cannot build a champion inside a complex enterprise deal by making someone feel understood over six months of conversation. It cannot figure out that this particular account is ninety days away from being ready, and that the right move right now is to stay warm. It cannot earn the kind of trust that makes a customer expand without being asked.

Those things were always the real job. The grind around them, the list building, the research, the sequencing, just obscured how much of a GTM professional's actual leverage came from judgment, relationships, and the ability to read a situation that no dataset captures cleanly.

AI made the easy parts of GTM cheap, and the hard parts more visible. Which is, if you let it be, clarifying.

The provocation

The original provocation for builders was that AI made everyone a builder. Tools like Loveable collapsed the cost of shipping software to the point where the label "engineer" stopped describing who could build things, and started describing who builds things well.

The same thing is happening here, and it is genuinely exciting.

AI has made everyone capable of running a GTM motion. The list building, the research, the signal detection, the sequencing, all of it is now infrastructure. The GTM professionals who embrace that shift are sitting on the biggest leverage upgrade the function has ever seen.

Think about what it actually means when your AI agents are continuously researching millions of accounts, surfacing the ones that are in-market right now, enriching your CRM overnight, and feeding your outreach with insights that used to take a team a week to produce manually. The execution is handled. So every hour you have goes toward the GTM that actually moves deals: the discovery, the positioning, the relationship, the read on whether this account is ready to buy or just kicking tires.

The GTM professionals who move into this era with the right tools are going to compound. They will cover more accounts, run sharper plays, and close faster than teams twice their size still doing it the old way. And the gap between them is going to widen every quarter.

Everything is GTM now. And right now, GTM has never had more firepower.

Let's go.