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The GTM Barbell - Why I Sit at Both Edges

ARTICLE_041

PUBLISHED

2026.07.29

READ

~9 MIN

My LinkedIn headline reads "Experiential Director | Agentic AI Builder," and I've spent longer than I'd like to admit treating that compound as an awkward compromise between two unrelated interests rather than as a position. Schoenfeld's framing on PeerSignal names the structural reason the compromise reading was wrong: the middle of go-to-market work - the generic execution layer, the human middleware translating strategy into campaigns nobody remembers - is the part AI closes fastest. What survives is a barbell: systems built and operated at scale on one edge, and judgement that resists systematisation on the other. This piece argues that operating both edges concurrently isn't a hedge against picking a lane. It's the only coherent response to where the value actually went.

The_Compound_Title

My LinkedIn headline reads "Experiential Director | Agentic AI Builder." I wrote it that way because both things are true and neither one is the whole answer, and for a long time that felt like an admission rather than a claim. Recruiters ask which one is the "real" job. Brand-side clients assume the AI work is a side project. Builders assume the experiential work is the thing I do when the fleet doesn't need attention. I've answered the question the same way each time - both, concurrently, on purpose - without having a framework that explained why that answer was correct rather than just honest.

Adam Schoenfeld gave me the framework. Not by writing about me - by naming the structural shift that makes the compound title a strategy rather than a résumé quirk.

What_Actually_Collapsed

Schoenfeld makes the case in "AI + GTM," on PeerSignal. The claim, stated plainly: AI is closing the gap fastest on the parts of go-to-market work that were always generic execution - middle-tier funnel management, the human middleware layer that turns a strategy deck into campaigns nobody remembers a quarter later. That layer is where AI substitutes cleanly for a person, because the work was never differentiated in the first place. What's left standing is a barbell. On one edge, teams are hiring GTM engineers and applied AI specialists to build systems that run without a person re-deciding every step. On the other, the work AI cannot systematise - taste, brand judgement, the kind of experiential craft that has to be felt in a room rather than read in a brief - is getting more valuable, not less, precisely because it resists compression into a workflow.

I want to be precise about what I'm taking from this and what I'm not. Schoenfeld's claim is about the shape of the collapse, not about me. What I'm arguing is that the shape maps exactly onto a split I'd been describing apologetically for two years. Once the middle is understood as the thing that's disappearing, sitting at both edges stops reading as indecision and starts reading as the only two positions actually worth holding.

The_Systems_Edge:_Built_to_Fail_Informatively

The systems edge is the fleet: twelve specialised agents running across roughly fifteen repositories, each with a defined scope and a review gate before its output ships. That's not a headline number I reach for to sound impressive - it's the operating reality that forces a particular discipline, which is the actual point.

In June, a batch of content drafts in that fleet hit the brand voice exactly whilst carrying fabricated anecdotes - stories presented as lived experience that were invented to satisfy a brief request for "a lived encounter" without the encounter being supplied. Reid's voice-check passed them; there was no fact-verification step. The batch was caught before publication. I wrote about the incident itself elsewhere, and I won't re-run that argument here. What matters for this piece is narrower: a system built at scale doesn't earn trust by being right more often. It earns trust by being wrong in ways that get caught before they ship. That's not a workflow you improvise per project. It's infrastructure you build once and run against everything that passes through it - which is exactly the kind of capability Schoenfeld's systems edge describes. You don't hire a person to re-verify every agent output by hand. You build the verification into the system, and the system is the asset.

The_Taste_Edge:_The_Room_That_Doesn't_Reload

The taste edge is the experiential work: flagship boutique openings, live installations, the moments a global brand puts in front of an audience with no second take. SK-II's boutique opening in Hainan is the version of this I can point to directly - curated sensory touchpoints, a coherent brand world, a production where the creative vision, the technical build, and the brand's actual constraints all had to arrive at the same place on the same day. There's no staging environment for a room full of people. What opens is what exists.

That's structurally different from a product launch, and the difference isn't sentimental - it's the reason this edge can't be systematised the way the other one can. A production system can absorb a bad deploy and roll back. A boutique opening in front of press and clientele cannot. The judgement required to hold the creative intent, the technical scope, and the brand's operating reality in the same hand - and to know what's missing from that picture before it becomes a visible gap on opening day - doesn't compress into a checklist, because the failure modes are different every time the brand, the market, and the room change.

A July case study on Classy (now GoFundMe Pro), the fundraising platform for nonprofits, makes the same point from the technology side. Where Kickstarter and GoFundMe put their own branding prominently on every donation page, Classy built its platform to stay out of the way entirely, so the nonprofit's brand - not the platform's - is what the donor actually experiences. The infrastructure is real and it's doing real work. It's just structured to be invisible, because the visible thing is supposed to be the brand, not the tool. That's the taste edge's whole argument in one product decision: the technology serves the room, not the other way round.

Why_the_Middle_Was_the_Riskier_Bet

I want to state this as a position, because it is one, not a discovered fact: I think the middle was always the more exposed place to build a career or a practice, and AI has just made that exposure visible faster than it would have arrived otherwise. The generalist layer - a bit of brand thinking, a bit of technical fluency, neither one deep enough to be the reason a client calls - was never differentiated. It was differentiated by being the only option available. Once AI closes the execution gap in that layer, the only options left are the ones AI can't close: systems complex enough that someone has to build and govern them, and judgement specific enough that no system can stand in for it.

Sitting at both edges isn't a bet that I'm equally good at everything. It's a bet that the two things I'm actually good at happen to be the two things left standing when the middle goes. I don't experience the fleet and the experiential work as a divided attention span. I experience them as the same underlying capability, applied to two different failure modes - one where the room doesn't reload, and one where the system runs a thousand times a day and has to be built to catch the one time it's wrong.

What_the_Barbell_Actually_Costs

None of this is free. Running both edges means there's no comfortable middle position to retreat into when either one gets hard - no generalist fallback where I can coast on breadth instead of depth in either direction. The fleet demands the same rigour on a Tuesday that a boutique opening demands on the day the doors open, and the two don't share a rhythm. I don't get to be good at one and adequate at the other. The barbell only holds if both edges are load-bearing.

That's the actual claim, not the compound title. The middle didn't get squeezed by accident, and standing on both edges of what's left isn't a hedge against choosing. It's the choice.

StrategyGo-to-MarketPositioningSystems Thinking

KEY_TAKEAWAYS

TAKEAWAY_01

A compound title that reads as an apology - "I do this, and also this, unrelated thing" - is usually evidence that the person holding it hasn't yet found the structural reason the two things belong together. The reason doesn't have to be biographical. Schoenfeld's barbell thesis gave me an external framework for a pairing I'd been describing defensively for two years; the pairing didn't change, the explanation did.

TAKEAWAY_02

The systems edge and the taste edge fail differently, and that difference is the whole argument for why neither one can absorb the other. A fleet earns trust by being wrong in ways that get caught before they ship - verification built into the system, run against everything. A live brand moment earns trust by having no rollback at all - the judgement has to be right the first time, in the room, because there is no second deploy. Building competence in one doesn't transfer mechanically to the other. They require the same underlying discipline, applied to opposite failure modes.

TAKEAWAY_03

The middle of go-to-market work wasn't neutral ground - it was the least defensible position, and AI just made that visible faster than career advice usually catches up. A generalist layer that was "a bit of everything, none of it deep" survived only as long as nothing else could do that work more cheaply. Once AI closes the execution gap, what's left isn't a spectrum with a safe midpoint. It's two edges, and the people standing on the ground between them are the ones with the least defensible position left.

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