The Demand Gen Operator’s Identity Crisis

Six months ago I wrote campaign briefs, built ads from scratch, and would spend hours analyzing reports to identify the next trend, or play, or heck even half the time just to debate attribution wars for the sake of hitting KPIs. Now I build AI agents, debug API connections, and write Python snippets I barely understand. Am I even still a marketer?

I’ve been sitting with that question for a few weeks. Not in a panicky way. More like that low-grade background hum you get when something about your professional life has shifted and you haven’t fully processed it yet.

Last week I wrote about how your AI-powered marketing team is going to sound like everyone else’s. That piece was intentionally blunt, and a lot of people told me it hit a nerve. The sameness problem is a strategy problem though. You can fix it with better systems, better taste, better editorial standards. The thing underneath it, the thing I keep hearing in conversations with other demand gen operators, is harder to fix because it’s personal.

Your job changed. And it’s changing at a rate I’ve personally never felt before. Maybe this is what is was like to be a knowledge worker in the early 2000s, but honestly it feels like this is something unique to AI.

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👋 Hi, it’s Kaylee Edmondson and welcome to Looped In, my newsletter exploring demand gen and growth frameworks in B2B SaaS. Subscribe to join 2k+ readers who get Looped In delivered to their inbox every Sunday. If you’re not subscribed yet, fix that below.

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The Job You Trained For Doesn’t Exist Anymore

I spent a decade getting good at demand gen. I learned how to build ABM programs, how to instrument a funnel, how to architect pipeline reporting and know exactly where the gap was. I could look at a paid media account and tell you within five minutes what was working and what was a waste of budget. That took yearsss to build.

And right now, today, I spend more time configuring Claude agents, writing skill files in markdown, and debugging data pipelines than I do on any of that. The skills I spent a decade developing haven’t disappeared. I still use them. But the ratio has shifted so dramatically that some weeks I wonder if I’d even recognize my own job description from two years ago.

I’m not complaining. I actually love the building. The agent architecture stuff caught me off guard, honestly, because I didn’t expect to enjoy it as much as I do. But there’s a strange grief that comes with watching your professional identity reshape in real time. The thing you were known for, the thing you were good at, is now table stakes at best and automated at worst.

And I don’t think enough people are talking about that part.

The Confidence Gap Is Real, and It’s Worse Than the Data Shows

Jasper’s 2026 State of AI in Marketing report found that 61% of CMOs feel confident about AI’s ROI. For individual contributors? 12%.

Read that again. Twelve percent.

That gap is telling me that leadership sees AI through the lens of output metrics: more content produced, faster campaigns launched, fewer people needed. The math works from a spreadsheet, maybe. But ICs are the ones actually using the tools eight hours a day. They see the rework cycles. They see the outputs that technically pass QA but miss the mark. They see the gap between what AI produces and what actually moves a buyer.

It’s not just a confidence gap about the tools, either. It’s a confidence gap about themselves. When the thing you used to do well is now done by software, and leadership is excited about the software, that math is so uncomfortable to swallow.

I’ve watched this land differently on different people. Some operators are energized. They’re the ones who were always tinkerers, always had a side project, always wanted to build systems. AI gave them permission to do the thing they were already wired for.

Others are… frozen, at least I think that’s the right word. Because the job they’re good at is morphing into something they didn’t really sign up for, and nobody gave them a roadmap for the transition. Right? These last 90 days or so have just literally rocked our whole world. And typically this “AI-pilled” future is just something they don’t believe in.

Both responses are totally rational. And most people are somewhere in the middle, toggling between excitement and dread on any given Tuesday. ← This is typically me. Even though I’m bought into the future of how powerful AI will be for us marketers, this growth spurt of learning, building, testing, consuming, failing, trying again. It’s a lot on top of trying to keep all the lights on with day-to-day tasks, too.

What I’m Watching on My Team and With Clients

I run a fractional demand gen shop. I’m embedded across multiple B2B SaaS companies at any given time. So I see this from a few angles: my own experience, my team’s, and my clients’.

On my team, the shift has been mostly positive but not without friction. My team members who leaned technical have taken to it fast. The ones whose strengths are more strategic and relational have had a harder adjustment. Not because they can’t learn the tools, but because the tools changed what “good” looks like in their daily work. One of my team members told me recently that she feels like she’s learning a new job inside the old one. That framing stuck with me. She’s right. That’s exactly what it is.

At my clients, the range is wider. I’m at one company right now where the VP of Marketing is fully bought in on AI and has restructured workflows, built agent systems, and cut production timelines in half. The team is keeping up, but the vibe is... compliance more than enthusiasm. They’re doing what’s asked because the boss is excited, not because they’ve independently decided this is how they want to work.

At another client, the marketing team hasn’t adopted AI in any meaningful way. Leadership keeps talking about it in all-hands meetings. Nobody has built anything noteworthy though. The team has an unspoken agreement that AI is a topic for Slack threads and quarterly planning decks, not for actual workflow changes. And leadership can’t figure out why adoption is stalling.

It’s stalling because the team doesn’t feel safe experimenting. They don’t know what happens if they build something that breaks. They don’t know if “learning AI” counts as productive work or if they’ll get dinged for not shipping while they’re ramping. Very grey territory.

The Identity Question Nobody’s Answering

MarTech published a piece recently about how AI agents will reshape every part of marketing. LinkedIn’s 2026 Skills on the Rise report moved “performance analysis” to the number one spot for marketing, bumping AI literacy down to second. The market data is telling us all that the job is changing.

But what’s the psychological cost of that change?

When I was coming up in demand gen, the path was clear. You started as a coordinator, moved to manager, became a director, maybe VP if you were good and lucky. Every step, you knew what skills to build. Campaign management, budget ownership, team leadership, executive communication. You could look ahead and see the shape of the career.

Now? I talk to demand gen managers who are being told they need to learn Python. I talk to campaign managers who are expected to build and maintain AI agents. I talk to directors who feel like they’re being evaluated on skills they haven’t had time to develop yet. The career ladder is dissolving all around us.

LinkedIn’s data shows “client prospecting” entered the top five marketing skills for the first time, and they connect it directly to the rise of independent and self-employed career paths. I translate that to: people are leaving their in-house jobs because this market was made for fractional/consulting. There is now all the potential to deliver the output of an FTE, in a fractional model with AI.

What This Feels Like (If We’re Being Honest)

I want to name a few things that I think a lot of demand gen operators are feeling but not saying out loud. Partly because I feel some of them too.

Imposter syndrome, but backwards. Classic imposter syndrome is feeling like you don’t belong despite evidence that you do. What I’m seeing is the opposite: people who were experts in their domain now feeling like beginners because the domain shifted.

Mourning work that used to feel satisfying. I used to find real satisfaction in building a tight campaign brief. Getting the ICP right, the messaging sharp, the channel mix dialed. That craft still matters, but it doesn’t take me three hours anymore. It takes maybe 30 minutes with Claude. And the 30-minute version is probably better as much as I hate to admit it. This time savings in the beginning felt like a win, but sometimes it feels like cheating.

Questioning your own market value. If AI can do 60% of what I used to do, is my 10 years of experience worth less now? More? I go back and forth on this. The optimistic answer is that experience becomes more valuable because you need to know what “good” looks like before you can direct AI toward it. The pessimistic answer is that companies are going to pay for the AI and expect a cheaper human to manage it. I think both are true in different companies, and that ambiguity is exhausting to try to plan for.

Performing enthusiasm you don’t always feel. This is the one I think about the most and hear the least about. There’s social pressure in the marketing world right now to be publicly excited about AI. Every LinkedIn post is about how AI changed someone’s workflow. Every conference has an AI track. If you’re not on the train, you’re implicitly behind. So people perform excitement even when what they actually feel is anxiety, confusion, or just fatigue. That performance is its own kind of work. And it’s isolating, because you can’t tell who’s actually thriving and who’s just performing thriving.

Where I’ve Landed (For Now)

I want to share where I am with all this, not as a prescription but because I think being honest about the process helps more than pretending I have it figured out.

I’ve accepted that the job I had two years ago is gone. The skills from that job are more valuable than ever, but the job as a daily experience is different now, and it’s going to keep changing. Fighting that has been less productive than just staying curious about what the job is becoming.

I’ve stopped measuring my value by how long something takes me. This was a hard one. When a campaign brief takes 30 minutes instead of three hours, my instinct is to feel like the work was easy and therefore less valuable. That’s wrong. The brief is better because I have a decade of context telling Claude what good looks like. The speed is a feature of my experience, not a devaluation of it.

I write Python now. Badly. I debug API connections by reading error messages and asking Claude what they mean. Six months ago I would have been embarrassed by that. Now I think of it as just another skill I’m building in real time.

And I’ve given myself permission to feel weird about it. Some days the new work lights me up. Some days I miss the old work. Two. things can be true.

So, to you, dear marketer…

Your experience is not deprecated. Your judgment, your pattern recognition, your understanding of what makes a buyer take action: those skills are your new superpower. The companies that figure this out will invest in experienced operators who direct AI. The ones that don’t will produce a lot of forgettable content very quickly.

Give yourself a real window to learn. I enrolled in the GTME School last January (2025) and started building then, it honestly took me until October to even feel like I had a grip on GTME skills. And then AI absolutely popped off between Jan - March of 2026 and I’ve been learning and relearning ever since. The people who look like they’re way ahead of you right now went through that same phase. They just didn’t post about it. 🙄

And if you’re a manager pushing AI adoption: ask your team how they’re feeling about it, not just whether they’re using it. Help them reach their own aha moment.

We’re in the middle of the biggest shift in how marketing work gets done since the internet. Maybe since mass media. And the coverage of it is almost entirely tactical (how to use the tools) or structural (how to reorganize the team). Almost nobody is writing about what it feels like.

I don’t have a framework for this one. Just the honest observation that every demand gen operator I know is going through some version of this, and the ones who are doing best are the ones who are honest about it rather than performing confidence they don’t feel.

We’ll figure it out. We always do.

See ya next week,
Kaylee ✌