New Business Is Your Agency’s Biggest AI Risk

New Business Is Your Agency’s Biggest AI Risk

Over the past year, I have observed ad agency leaders discuss AI with visible excitement and underlying apprehension. Many agree: “This changes everything.” The problem is that most of the industry is still focused on the sparks rather than the explosion.

It’s easy to be captivated by demos: AI-driven concepts, automated reporting, and synthetic personas. Instant briefs, endless variations. Faster proposals, more output with fewer people. Agencies claim to be “AI-enabled,” as if using AI alone creates differentiation. Yet, this conversation has fizzled. Not wrong, just shallow.

But beneath the excitement, AI’s real disruption stretches beyond faster output. AI is now actively redefining what clients value and how agencies price their work. This shift threatens traditional agency economics more deeply than most leaders admit publicly, including new business. When you’re in the eye of the storm, the calm can be deceiving.

This urgency is echoed by Sharon Napier, who wrote in MediaPost that agencies move through three AI stages quickly: experimentation, acceleration, and elevation. Her point matters because it reflects what agency leaders are starting to experience. AI adoption isn’t gradual. The business is reorganizing around AI far faster than past technology shifts. The luxury of a slow transition is gone.

Continuing this line of thought, the 4As published its own forward-looking analysis, suggesting that agencies face a future where execution becomes commoditized, while human ingenuity, cultural understanding, and strategic partnership remain the premium layers. Meanwhile, Ethan Mollick has repeatedly argued that “taste” and judgment may become defining competitive advantages in an AI-driven world precisely because machines make production abundant. Even publications like Fast Company have started warning that marketers risk mistaking automation for strategic thinking itself.

This urgency is also evident in leadership moves. According to The Wall Street Journal, WPP hired Cindy Rose as CEO with a compensation package that could reach approximately $14.8 million. That kind of number tells you something important before she even walks in the door. Companies do not pay that level of compensation to preserve the status quo. Her mandate, according to the Journal’s reporting, is brutally straightforward: right-size the workforce, cut costs, win new business, strengthen WPP’s technology capabilities, adapt the organization to an AI-driven future, and somehow keep the creative class emotionally engaged through the middle of it all.

That last part may be the hardest assignment in the entire industry.

All these developments together confirm that this is no longer a theoretical discussion happening on LinkedIn between futurists and consultants. The world’s largest holding companies are actively restructuring on the assumption that AI permanently changes agency economics. Public companies do not move this aggressively unless they believe the underlying business model itself is under pressure, big pressure. And many networked and independent agencies are charting their own paths to define and use AI to get an edge.

Building from this industry-wide action, these signals reveal something bigger: Agencies aren’t simply adopting AI. The industry is being economically repriced by AI. The main argument: AI changes not just the tools, but the fundamental value agencies provide.

That distinction matters enormously.

For decades, agencies operated on a stable model. Senior people sold the work. Mid-level people managed it. Junior teams executed. Layers created leverage; complexity implied sophistication; time became revenue. Large teams signaled capability. Clients lacked visibility into labor needs, so operational friction shaped pricing by default.

Now, AI attacks nearly every assumption underneath that model, everything all at once.

Initially, many agencies first felt relief. AI outputs seemed rough, generic, repetitive, and thin strategically. Creative leaders said, “See? Human creativity wins.” But this missed the real threat. Disruption arrives incrementally as clients notice that work that once took weeks now takes hours to generate, adapt, or refine.

Clients do not need AI to be perfect for agency economics to change. They only need AI to become “good enough” often enough to question old pricing logic, which they already are. Client adoption of AI remains higher than agency adoption. They know what’s possible.

Procurement and marketing teams are asking new questions. Why does this require twelve people? Why six weeks? Why pay premium rates for operational work? Why fund production-heavy structures built for a pre-AI world? In RFPs and pitches, clients ask agencies about AI, governance, QC, data privacy, IP, and indemnification. Bad answers will get you disqualified.

Most agencies address AI with operational benefits: efficiency and speed. But the key argument is deeper. AI commoditizes not just production but structured cognition, challenging the real source of agency value.

This challenge to agency value makes many leaders uneasy because it extends beyond copywriting and execution into territory that agencies have traditionally protected under the banner of “strategy.” But if we are being honest, much modern agency strategy work is highly structured, highly repeatable, and highly format-driven. Frameworks. Audits. Personas. Journey maps. Trend synthesis. Positioning exercises. Competitive matrices. Workshop outputs. Presentation narratives. All things AI can do, maybe not well today, but eventually (in AI years, maybe next month).

Historically, those deliverables required labor coordination, synthesis, formatting, and presentation skills. Today, AI performs many of those tasks quickly. Strategy does not disappear. Bad strategy becomes impossible to hide behind formatting.

I think many agencies still underestimate the coming market split. The most exposed are not necessarily the least creative. They are agencies whose value depends on process theater, complexity inflation, or recycled strategic packaging as insight. For years, agencies survived as competent organizers of information. AI changes the economics of information organization itself.

As production and synthesis become abundant, value shifts upward. Machines still struggle with judgment, prioritization, interpretation, emotional intelligence, contextual awareness, leadership, conviction, and decision-making under ambiguity.

That is why I increasingly describe the future this way: AI becomes the head (which coordinates and orchestrates all bodily functions). Humans remain the heart, soul, culture, and judgment.

The “head” processes information endlessly. It synthesizes data, generates options, accelerates workflows, surfaces patterns, and scales output. Clients are not paying for more options. They pay for confidence in decisions, discernment, and for someone to determine direction, risks, opportunities, signals, and the right path forward.

That layer of judgment becomes more valuable as AI increases the volume of available information and possible actions.

Ironically, AI may end up increasing the value of genuinely experienced senior talent after years of agencies optimizing around scalable labor pyramids. However, there is a catch. Not all seniority will survive equally. Experience alone will not protect agencies if that experience simply produces generic strategic formatting at higher hourly rates.

To meet these challenges, leaders must make the surviving strategic layer sharper, more commercially grounded, more interdisciplinary, and more accountable to business outcomes than much of what agencies currently market as strategy. Future agency leaders may need to think less like traditional department heads and more like operators, behavioral economists, anthropologists, growth architects, and management consultants combined. Less presentation theater. More decision architecture.

That changes the nature of business development itself.

Traditionally, agencies sold capability, offering reassurance through scale: large offices, teams, diagrams, slide decks. Now clients have access to many operational tools but lack clarity and trusted interpretation amid automation, dashboards, AI-generated recommendations, and endless tactics.

That changes what persuasive agency positioning looks like.

Agencies that thrive will be smaller, more senior, more specialized, and more opinionated. They will compete on perspective, diagnostic precision, and their ability to help clients navigate uncertainty with conviction. Human judgment is increasingly the premium value.

Importantly, this evolution is already underway, regardless of whether agencies are psychologically prepared for it.

Some leaders still treat AI as a productivity enhancement layered on top of existing structures. That is a dangerous assumption. AI is not simply improving workflows. It dismantles many economic assumptions that agencies relied on: production friction, labor leverage, operational opacity, and scalable hierarchy. AI compresses all four.

That is why I believe the agencies that survive this era will not merely “adopt AI.” They will redesign themselves around a world where production is abundant, execution is increasingly commoditized, and strategic judgment becomes the remaining premium layer.

To be fair, part of what makes this moment so difficult for agency leaders to interpret is that the market is moving through the classic bell curve of technology adoption unevenly and noisily. Some clients are already restructuring workflows, shrinking timelines, questioning staffing assumptions, and aggressively integrating AI into procurement, marketing operations, and decision-making. Others remain deeply skeptical, emotionally resistant, or openly dismissive of AI altogether.

Many agency owners still spend large portions of their week talking to laggard clients who insist their category is “different,” believe human creativity will fully insulate them, or even see short-term commercial upside in positioning themselves as proudly anti-AI. And to be fair, in the near term, some of them may be right. Certain clients and categories will temporarily reward handcrafted positioning, human-only messaging, or anti-automation sentiment in response to growing digital sameness.

That is the confusing part of transitional eras. Early disruption rarely looks universal at first. It looks fragmented, inconsistent, and easy to rationalize away because different parts of the market move at different speeds. But history suggests the danger is not misreading the present quarter. It is mistaking temporary insulation for long-term protection while the underlying economics quietly continue to shift beneath the industry.

The industry conversation is finally moving in the right direction. Sharon Napier’s MediaPost article captured the speed of the transition. The 4As acknowledged the impending shift in emphasis from execution to strategic partnership. Ethan Mollick continues emphasizing judgment and taste as emerging differentiators in the AI era. The Wall Street Journal’s reporting on WPP signals how seriously global holding companies are already responding operationally and financially. Across the industry, thoughtful leaders are arriving at variations of the same conclusion from different directions.

Welcome To The Future

The future value of agencies is moving upward. Not toward more output, although that can be important, but toward better judgment. If you’d like help understanding this shift and evolving your agency to reap the rewards, let’s talk. No one can see the future, but together we can find your most profitable path forward. Just grab time with me here: calendly.com/jheenan. If you haven’t already done so, sign up for my New Business Newsletter. If you know someone who might benefit from this post, please forward it. If you like this post, I’d appreciate a thumbs up and a comment. While you are at it, let’s connect on LinkedIn. #LetsGrow!