What Marketing Leaders Wish Their Orgs Understood Right Now

What we heard: AI ambition outpacing infrastructure, content systems stretched thin, brand alignment drifting, talent struggling to keep pace, and organizational structures built for a different era.

But it wasn't a complaint —it was a diagnosis and a hopeful roadmap.

AI: The ambition is there. The infrastructure is not.

Every leader at the table has "adopted AI." The tension definitely isn't interest—it's enablement.

"Everybody is jumping on the broader category of AI… but within the category there is so much noise." -Futureproof Member

Leaders described fragmented governance, no standardized workflows, and uneven adoption across teams. Some teams are all-in, others anxious, and almost everyone is dealing with foundational data and content issues creating friction.

Despite enthusiasm, many are stuck in pilot mode—caught between experimentation and the structured, repeatable use cases that free up teams and lift output quality. As members compared their approaches, capacity, governance, and experimentation emerged as top priorities.

"The pressure from executives on what are the cost savings going to be… and we can't even figure out how to get from A to B." -Futureproof Member

The missing ingredient? A clear operating model. Organizations that win are building AI muscle through systems that allow teams to function at modern speed, not through moonshots.

The tension between speed and judgment.

One attendee described using AI to rapidly iterate on a UX concept: "I iterated myself… I can sit there and say, here is my shitty prompt, and it will get out what I said… I did that over the course of a few hours, which with a human person would take a few weeks and tens of thousands of dollars."

Another leader pushed back: "Are we concerned because we're taking a designer's job?... And, should YOU be spending your time doing that?"

This became one of the moments of the night—not because anyone was right or wrong, but because it surfaced the deeper tension: AI can expand capability, but leaders must still decide how to BEST spend their time.

The content engine is running hot.

If one issue dominated, it was content. Not just the volume—though that's skyrocketing—but the way content moves (or doesn't move) through organizations.

"It takes a tremendous amount of manual work to identify something as simple as your top-performing creative." -Futureproof Member

Teams are being asked to create more content, personalize more deeply, produce faster, and maintain brand consistency—while internal tools, templates, and processes lag behind. Assets get bottlenecked, teams work in silos, and unclear handoffs create friction.

The takeaway: marketing is becoming a content supply chain problem, not just a creative one. It requires system-level solutions. Small inefficiencies multiply quickly when content is the fuel powering everything.

Brand alignment as a moving target.

As the content machine accelerates, keeping the brand cohesive gets harder. Leaders noted disconnects between brand and product teams, centralized and decentralized functions, and global and regional interpretations of standards.

"Everything we put into the world has to be perfect… and if it isn't, it comes right back." -Futureproof Member

Brand is becoming less about guidelines and more about systems, tools, and shared understanding. It's a living system that needs consistent tools and a culture of alignment. Speed without cohesion creates its own cost.

The talent challenge isn't creativity—it's capability.

Another thread: a widening gap between what teams are asked to deliver and what they're equipped to do. Leaders talked about uneven adoption, shadow AI usage, and teams unsure how to apply AI in daily workflows.

"We don't have a creativity problem, we have a skills gap." -Futureproof Member

The conversation shifted toward training, upskilling, and cultural readiness—not just tools. The most mature teams aren't hiring AI experts; they're turning existing teams into AI-powered marketers through education, frameworks, and hands-on practice.

Structure isn't keeping up with the work.

Perhaps the quietest but most resonant theme: organizational structure. Teams stretched across too many priorities, overlapping roles with unclear ownership, and systems that don't talk to each other.

"The AI stuff takes training, experimentation, risk… and I'm doing that when my kids are asleep. That's not fair." -Futureproof Member

Common concerns: too many priorities fighting for the same resources, difficulty maintaining focus across long planning cycles, and pressure to "do more with less" without strategic guidance. The challenge isn't effort—people are working harder than ever. The challenge is that modern marketing requires modern operating models, responsive workflows, and clearer ownership.

A new kind of partnership is emerging.

Toward the end of the night, a striking consensus emerged: traditional agencies aren't keeping up with the speed or specificity modern marketers need.

"I don't need another deck, I need someone who can jump in and fix the thing." -Futureproof Member

Leaders are gravitating toward partners who bring senior-level operators, are fluent in AI-enabled workflows, can help build systems (not just campaigns), and flex between strategic and hands-on support. Nimbleness, not scale, is the differentiator.

This is why Traction transitioned to a hybrid consultancy-agency model —it's embedded capability-building, not just outsourced execution.

Everyone wants community—not another webinar.

The dinner closed on a surprisingly emotional note: leaders are craving space to talk honestly about pressures and experiment together without posturing. Some are even feeling shackled by their organizations.

"The reason we have this community is to invite human beings to come and connect… What we're being asked to do is be more productive and more cost-cutting than ever. And as leaders, we get to decide the direction." -Futureproof Member

This hunger for candid dialogue is why the Futureproof Project exists: to create shared learning moments that strengthen marketers, not just marketing.

Looking toward 2026.

What tied the night together was ambition. Every leader is ready for what comes next—they just need infrastructure, workflows, and talent models that match that ambition.

"Start small… find where the biggest pain points are… where there's the most toil." -Futureproof Member

The leaders at the table agreed: the brands who reward bold thinking today will write the playbook tomorrow. The organizations that rise won't have the flashiest campaigns or biggest stacks. They'll adapt fastest, integrate AI smartest, and operate with the clarity and alignment today's pace demands.

Leaders aren't asking, "What's the next big marketing innovation?" They're asking, "How do we build a system that can keep up?"

2026 won't reward the loudest brands. It will reward the most adaptive, AI-integrated, and operationally mature ones.

The Futureproof Project will continue creating spaces like this—real conversations, shared insights, and actionable support—to help leaders close that gap and turn talk into transformation.

Are you experimenting with AI after bedtime? Here are some TLDR Actions you can try now: 

1. Build AI infrastructure, not just experiments

- Move from pilots to structured, repeatable use cases

- Establish clear governance and standardized workflows

- Start small: target biggest pain points and areas with most toil

2. Treat content as a supply chain problem

- Implement system-level solutions for creation, movement, and tracking

- Reduce bottlenecks and create clear handoffs between teams

- Build tools to easily identify top-performing creative

3. Turn brand into a living system

- Move beyond static guidelines to shared tools and alignment culture

- Bridge gaps between brand/product and centralized/decentralized teams

4. Upskill existing teams

- Turn current teams into AI-powered marketers through education and practice

- Focus on cultural readiness alongside technical training

- Help teams understand when and how to apply AI daily

5. Clarify how leaders should spend their time

- Use AI to expand capability, but make intentional choices about leader work

- Define clear ownership across priorities and roles

- Build modern operating models with responsive workflows

6. Seek nimble, embedded partners

- Look for senior operators who "jump in and fix the thing"

- Prioritize partners fluent in AI who build systems, not just campaigns

7. Reward bold thinking today

The brands writing tomorrow's playbook are investing in infrastructure, workflows, and talent models now—not waiting for perfect conditions.