Research Synthesis · 2026

What marketing leaders need right now

A synthesis of 18 conversations with marketing leaders. Each was coded independently, then scored and ranked. Names withheld; roles and industries only.

18 marketing leaders ~14 industries 25–3,000 employees ~9 hours of conversation Research question: “What are marketers’ intense needs right now?” Spring–Summer 2026

How to read this

Every conversation was coded on its own before any pattern-hunting, so each story stayed intact instead of getting averaged into mush. Then each recurring need was scored on five dimensions (strategic impact, frequency, emotional resonance, actionability, and surprise) out of 25. Every claim below traces to exact language a leader used. Where a name appeared inside a quote, it’s redacted in [brackets]. The words are otherwise verbatim.

The one-line finding

The intense needs aren’t about adopting AI. Almost everyone is past that. They’re about the mess AI leaves behind: what to automate, how to keep the team from being cut, how to hold a story together while the product and the tools keep changing, and how to do it all without burning out. As one head of growth put it: “every marketer is feeling a little expedited about it… it was always challenging, but now it’s a little extra.”

First: what’s going well

It wasn’t all hard. Most leaders opened with real wins. Teams are finally fully staffed and scoped (“everyone’s very scoped into their role… it feels like a luxury”), and several hit or beat their numbers in a quarter where that wasn’t a given. The AI payoffs are real, too: research that used to take three weeks done in forty minutes, and customer and sales data “democratized” so the loop from signal to messaging closes far faster. For teams sitting on a back catalog of content, GEO and AI-search are opening what one leader called a “blue ocean” and others described as the biggest opportunity in years. Marketing and sales alignment came up as a bright spot (one team now sources about 70% of pipeline, by sales’ own reporting). And brand and creativity, the human work AI can’t do, was where leaders sounded most energized.

The seven intense needs, ranked

#	Intense need	Heard in	Score
1	Governance over AI, not just adoption	~11 of 18	21/25
2	A defensible answer to “why buy it if we can build it?”	~7 of 18	21/25
3	A case for marketing’s value before headcount gets cut	~9 of 18	20/25
4	A story that holds when product outpaces marketing	~8 of 18	19/25
5	Room to lead and still do the work, without burning out	~8 of 18	19/25
6	Visibility as AI answers replace search (GEO/AEO + earned media)	~8 of 18	18/25
7	Keeping human taste as editing becomes the bottleneck	~7 of 18	18/25

Governance over AI, not just adoption

~11 of 18Score 21/25

The unsolved problem is no longer whether to use AI. It’s deciding what to automate, what to keep human, and how to move from scattered, one-off experiments to a system the whole team works inside. The leaders with the least chaos made those calls early, and made them out loud.

“AI doesn’t know what to do unless you tell it… first you have to actually think through, what are the tasks that we do every day that are actually good candidates for automation?”Marketing lead — AI-forward research/education SaaS

“The harder part is knowing when to actually spend time on something with AI versus not.”VP / GTM leader — customer-engagement SaaS

“We need to change our ways of working… use AI in the right way. That is complex… going from piloting tools to actually changing ways of working — we’re not there yet.”VP Global Brand & Campaigns — enterprise CPaaS

“What I decided to do… was actually build my own bespoke AI learning curriculum for the team… I just used AI to do it with me.” [later in the call] “This was not a ‘go do’ mandate. This was, we’re going to do it together.”VP Marketing — energy/commodities platform

What this means: The clearest fix in the whole set was a plain, explicit decision about what AI is and isn’t allowed to touch. One leader kept a running list of approved use cases and off-limits ones. The opposite pattern showed up again and again: leadership tells everyone to use AI with no plan, so it gets spent on busywork. The calmest teams treated the governance decisions as the actual work, not the tools.

A defensible answer to “why buy it if we can build it?”

~7 of 18Score 21/25

Marketers who sell software, and who buy it, are watching the whole model wobble. Buyers now ask why they’d pay for a tool they could vibe-code themselves. The seat-based model is breaking. Everybody has every feature. This runs deeper than “features aren’t a moat.” It’s closer to “is our product, our category, even our own tool stack going to survive?”

“Every company is putting hopes and dreams on: if I just buy everybody a license to these LLMs, we can build these things ourselves… a lot of SaaS companies are in an existential mode right now — can we survive the AI apocalypse?”VP Marketing — qualitative-research SaaS

“We got out of HubSpot. We got out of Webflow. We got out of all of the marketing tools… we’re just going to build it in-house.”Head of Marketing — fintech / payments

“Competitors are moving so quickly because of agentic AI development that everybody has everything. So it’s either a race to the bottom on cost, or we add value beyond just the platform… SaaS is being judged on outcomes — can we do it with fewer seats and an MCP?”Head of Marketing — mid-market SaaS, landing pages + CRM

“People can now build stuff for free with [AI]… there’s very little appetite for anything that isn’t instant or can’t connect into your [AI] workflow. If there’s no MCP, then that’s it.”Head of Growth / PMM — GTM SaaS

What this means: This makes differentiation a survival question, not a nice-to-have. As buyers can rebuild features themselves, what leaders pointed to as defensible was service, outcomes, and relationships, not the product on its own. The teams staying ahead are re-messaging around outcomes and defensibility before the “we’ll just build it ourselves” objection reaches the buyer.

A case for marketing’s value before headcount gets cut

~9 of 18Score 20/25

The more marketing proves AI works, the more leadership uses that proof to shrink or freeze the team, and to question whether marketing needs a leader at all. Teams are getting smaller. Headcount requests hit an “AI can do it” wall. In some companies, marketing is being pulled apart into other functions.

“The CEOs are seeing posts like ‘I have my AI doing the job of a five-person marketing team.’ So they’re like, you don’t need so many people… you might have had headcount that got taken away from you.”Head of Growth / PMM — GTM SaaS

“It’s harder to advocate now for new team members because people are aware of the value that AI brings, in particular for marketing.”Head of Marketing — ed-tech hardware

“We’re down to about 10… when people have been departing, we haven’t really been backfilling. Mid-market SaaS is particularly vulnerable.”Head of Marketing — mid-market SaaS

“Marketing as its own department… it’s falling apart… you don’t need a head of marketing anymore.”Head of Marketing — fintech / payments

Don’t smooth this one out. There’s a live contradiction. One category-leading head of product marketing argued the opposite: “Does Jevons paradox apply to headcount? Should I be hiring more people, not less? How do I think about AI spend versus headcount spend?” At least one high-performing leader treated AI as a reason to consider hiring more, not fewer. The headcount trap is real, but in this set it tracked with how the business was doing, not with AI itself.

What this means: One of the most emotionally loaded needs in the set. Leaders feel the org chart moving and mostly don’t have a plan for it. The ones handling it best are spelling out, in terms leadership can’t wave away, what marketing actually does and why it isn’t a line item to trim. More than one leader admitted their own company doesn’t really understand what product marketing is for.

A story that holds when product outpaces marketing

~8 of 18Score 19/25

Engineering ships on a weekly, sometimes vertical, curve. Marketing, enablement, and the customer’s ability to absorb the change do not. At the same time, anyone can pump out endless content, so volume counts for nothing and the story is the only thing that sets you apart. Two problems, one root: the story keeps snapping.

“Their velocity is going vertical and product marketing is not vertical, I just need to reconcile those two things.” [later in the call] “The rate of change has surpassed the human ability to keep up… Is it not about keeping a good feature velocity, but instead ensuring that the ground story is so strong that it doesn’t matter what features change?”Head of Product Marketing — commerce SaaS

“As all those water levels rise… everybody has the same amount of volume. How do we push out lots of content that is also differentiated? Discernment, discretion, differentiation.”CMO — health-tech

“The story is missing because there needs to be a through line… it’s not just ‘we have this feature and this feature.’ Needs to be a story.”CMO — cybersecurity-AI startup

“You need to build a narrative… You need a brand. You need a very good and compelling story for your target audience.” [later] “Messaging is key. Target audience, messaging, story — that’s number one.”Sr. Director, Growth Marketing — video-content SaaS

What this means: This is where “brand and story as the last moat” actually shows up in the data. The most useful shift leaders described: stop patching the launch playbook every release, and build one story durable enough to survive constant feature churn. Then give sales and CS a fast, self-serve way to stay current without hiring more people to keep them trained.

Room to lead and still do the work, without burning out

~8 of 18Score 19/25

The same AI mandate that’s shrinking teams is pushing leaders back into hands-on “creator” work, all while they still run the team. The result is constant context-switching, no room for deep work, and open fatigue. Raised by roughly 8 of 18. Not the most frequent need, but the one voiced with the most personal strain: “I’m the bottleneck,” “on the weekends,” “exhausted.”

“It’s cool, but… it’s a different mind space. So you need to not be in 10,000 meetings to do that.” — and when asked when that focused work happens now: “On the weekends.”VP Marketing — employment-data infrastructure SaaS. (The “everyone’s turning into ICs” framing was the interviewer’s.)

“It’s a lot of context switching right now… it’s harder to feel like you can make something great when you’re balancing 10 things when in the past you balanced three.”Head of Growth / PMM — GTM SaaS

“The difficult part is usually not doing the work, but the coordination in between — meetings, alignment. That’s the stuff that cannot be automated.”VP Global Brand & Campaigns — enterprise CPaaS

“People just feel exhausted, because whatever you do today, there’s something more that you need to do tomorrow.”CMO — health-tech

What this means: Not the most frequent need (that’s AI governance), but the one that carried the most personal strain. Leaders described themselves as the bottleneck, fragmented, exhausted, doing the real work at night and on weekends. A couple noted the topic is starting to get discussed (one pointed to a podcast about a CMO who cut most of her team). What they said would help: protect deep-work time, and hand the repeatable, lower-judgment work to systems so scarce hours go to strategy and craft.

Visibility as AI answers replace search (GEO/AEO + earned media)

~8 of 18Score 18/25

AI answers are eating classic inbound and organic traffic. Ranking now means competing across a fragmenting field of answer-engines and platforms at once (one leader counted “six”). Attribution is breaking under zero-click. And earned media, third-party validation, and relationships are rising as the edge a machine can’t manufacture.

“Inbound is drying up and organic traffic is drying up because of AI. They have all these AI answers — they don’t need to come to your site as often. Last year that wasn’t the case.”Head of Marketing — content-ops SaaS

“Before, you just thought about ranking for Google. Now there are six different platforms that all play very differently… now you have to do well in all of them.”Head of Growth / PMM — GTM SaaS

“Earned media is becoming more and more important… it’s third-party validation that’s making people’s stuff stand out.”CMO — health-tech

“It’s very hard to allocate spend to revenue now — with zero-click and GDPR… trust is difficult.”Sr. Director, Growth Marketing — video-content SaaS

Same force, opposite sign, so I’m flagging it rather than averaging it. For inbound-dependent teams this is a threat (“inbound is drying up”). For teams with a decade of content or a strong brand, it’s the biggest opportunity in years: “GEO has blown SEO out of the water — it lets brands compete in a blue ocean; who’s talking about you really matters” and “we’re seeing a lot of demand from AI search — if you’re not heavy in AI search you’re missing the boat.” Whether GEO is a tailwind or a threat comes down to whether a brand already owns earned authority.

What this means: Earned media, PR, Reddit, review sites, and partnerships are being re-valued precisely because they can’t be automated. They take relationships and judgment, not just output. Customer research and story work now feed straight into how findable a brand is, because what shows up in AI answers is shaped by who’s talking about you elsewhere.

Keeping human taste as editing becomes the bottleneck

~7 of 18Score 18/25

AI made the first draft instant and pushed the cost to the back end: hours of editing, fact-checking, and lost control over the details, especially the “final 15%.” Leaders can smell AI output on sight, and the scarce resource now is taste. As one put it, it should be “a tool, not a crutch.”

“It’s tough to get [the AI], even with a truth prompt, to stop hallucinating. And sources — some of the claims are just totally made up.” [minutes later] “Feedback and creative direction for design is very challenging now in that final 15% of a project — can’t make those fine-tuning tweaks. And that’s frustrating.”Head of Marketing — ed-tech hardware

“We want people to be AI enabled, but there’s also the craft… you want it to be a tool, not a crutch.” [on a designer candidate, later in the call] “One person just threw the entire web page into [an AI tool]… it changed the logo, and the answer was, oh, that was just AI.”VP Marketing — employment-data infrastructure SaaS

“This paragraph sounds exactly like AI. Don’t use the word ‘quietly.’”VP Marketing — energy/commodities platform

“Everyone’s like, here’s my skill drop. I’m like, trash, trash, trash, trash. Like, you look at it and you’re like, wow.” […later in the same call…] “You also have to have, like, the taste, the eye for what is this giving me.”VP / GTM leader — customer-engagement SaaS

What this means: One of the most concrete, widely shared pains in the set. AI makes the first draft instant, but it moves the real work downstream. Leaders spend more time editing, fact-checking, and fixing tone than they save, and they can spot AI copy on sight. The teams pulling ahead don’t hand the writing to AI. They keep a person in charge of judgment and taste, use AI to get to a rough draft fast, and shape it from there.

The mood running underneath all of it

Over and over, leaders described feeling two ways about AI at the same time. Excited by what it lets them do, and worried or worn down by it. And they refused to be cast as either an AI cheerleader or an AI skeptic. It’s the tone these leaders are actually living in, and it’s the opposite of the pick-a-side arguments online.

“It’s amazing us and scaring us at the same time.”Head of Marketing — fintech

“It’s equally existential while also… it could overtake us, and it could also be our savior.”VP Marketing — research SaaS

“It’s always both. You should do both.”CMO — compliance-training SaaS

Outliers and edge cases

The confident high-performers. A few leaders, at category-leading, bootstrapped, or hyper-growth brands, showed little of the AI dread heard elsewhere. Their “hard” was scaling and hiring, and one kept returning to the phrase “it’s a solvable problem.” The existential worry clustered in mid-market incumbents and transformation-stage teams. The velocity and scaling pain clustered in the faster-growing brands. In this set, the dread tracked with company health more than with AI itself.

The far edge of build-vs-buy. One fintech leader had already ripped out the entire marketing stack to build in-house, and openly predicted marketing dissolving into other departments. Extreme today, but it’s the logical end of a trend many others named quietly.

PMM hiring as the #1 fire. For one of the fastest-growing startups in the set, the single biggest need was hiring a founding product marketer to bring story discipline to a feature firehose. Not AI, not headcount cuts.

Vantage caveats. One respondent sits one level below VP (execution-focused growth) and was the most bullish on AI-for-research as pure upside. Another was mid-departure from a nonprofit, heading into fractional work. Both sit just outside the core VP/CMO profile, and were weighted accordingly.