Future Prospects in GTM Engineering Amid AI Bubble Concerns
How is everyone feeling about future prospects in GTM Engineering with discussions of a potential bubble bursting in the AI Space? I want to pursue it but that scares me a little at times.
How is everyone feeling about future prospects in GTM Engineering with discussions of a potential bubble bursting in the AI Space? I want to pursue it but that scares me a little at times.
That's sort of how I'm feeling. I always am sort of wary of going too focused into a field (I'm a Systems Admin now so I am a many-hats kind of guy) but I dont think I would be unable to go back to sysadmin work if I pursued a more focused GTM role
or who knows, try to parlay that into a leadership position in GTM/RevOps/Whatever
As a leader in Revops - I would focus more on foundationally how you add gtme principles to your existing workflow vs trying to completely shift to gtme based philosophy. GTME can get very technically focused and the enablement and documentation portions can get lost in translation.
For sure, I work primarily as an IT partner with our GTM team so I work a lot with the team members and managers to try to dial in the tools and workflows to be helpful. We have a term we try to avoid called "IT Cool" where we can make something that is awesome to the people who make things, but kind of useless or way too involved for the people intended to use the tthings.
Hey Bill G. — totally hear you on this. I’ve been deep in GTM Engineering for the last ~6 months after 10 years in selling across every GTM function, and here’s my take: The tech stacks always change — the fundamentals don’t. Every era had a “new medium” everyone was scared of. • Newspapers → businesses learned how to get their offers in print • Telephones → cold calling became a discipline • Internet forums → early digital GTM • Social → new distribution playbooks • And now AI → new orchestration + automation layer What never changes is the core job: Find product + message market fit, get that story in front of the right people, and adapt to whatever medium gets you there fastest. GTM Engineering is really just the modern version of that adaptability — using today’s tools (AI, enrichment, automation, workflows) to scale the same timeless principles. AI will absolutely evolve, but it won’t eliminate the need for people who: • understand GTM mechanics, • can connect data → insights → actions, and • can operationalize systems around buyers. If anything, AI makes GTM Engineering more important because companies need humans who can stitch these tools together into predictable revenue motions. And to your point about specialization: even if you go “too focused,” the foundation you build here transfers everywhere. Worst case, you go back to systems / ops with an even stronger toolkit. Work with the wave, not against it. GTM roles that understand AI, automation, and distribution are going to be the ones that outlast any “bubble.” Hope that helps!
I don’t think this is a quick trend. This is the next big shift after the internet. Companies are investing billions because this tech is becoming the foundation of how businesses run. And honestly, you can treat it like a hobby at first. I was a system admin for 12 years, and even with long days, I always had an hour to try new tools. As a sysadmin, APIs and webhooks are easy for you. Practice a bit each day, and if you feel it’s a good fit, run with it. You already have the tech base to pick it up fast.
I've been having a lot of fun with custom API webhooks in my tables for sure, it's very useful
the bubble is just the hype and fomo in the market, VCs, investors... That's noise. But the technology is changing the world and solving problems. That's foundamentals. Focus on the foundamentals. And pursue your dreams! If you want to, do it.
