The Strategy Paradox: Why Efficiency is the Wrong Goal for AI Adoption

Mike May, Chief Strategy Officer at 50,000 Feet, argues that agencies are misinterpreting the value of AI by framing it as an efficiency play. By chasing lower costs and faster timelines, agencies are eroding their own competitive advantage. The real strategic value lies in using AI to deliver high-value insights, not in reducing the volume of work. For agency leaders, this shift is necessary: if you sell AI-driven efficiency, you turn your output into a commodity that is easily replaced. If you use AI to deepen business partnerships and solve complex problems, you create a durable advantage that clients cannot replicate. This analysis is for any leader balancing the pressure for lower fees with the need to maintain premium value.

The Hidden Trap of Efficiency

Most agencies treat AI as a cost-cutting tool, responding to client demands for lower fees by promising to do the same work faster. May warns that this is a dangerous race to the bottom. When an agency focuses on efficiency, they signal that their work is a commodity, a task that anyone with access to the same tools could perform.

"One of the ongoing challenges for agencies to make sure that expectations are actually aligned with reality. So, for example, the big expectation that I think clients have is efficiency, right? And there are some clients who are actually expecting a decrease in fees because of efficiency."

-- Mike May

The risk is twofold. First, it conditions clients to value output over impact, making it harder to justify premium pricing later. Second, it creates a hollowed-out talent pipeline. If foundational research and synthesis tasks are offloaded to AI, junior staff lose the practice required to develop the critical thinking and editorial judgment necessary for senior roles. Over time, the agency loses its ability to distinguish between brilliant work and poor work.

The Bow-Tie Framework: Expanding the Scope of Inquiry

May conceptualizes strategy as a bow tie: starting wide with research, narrowing to a core idea, and expanding again into execution. AI is most valuable when it widens the initial aperture rather than shrinking the process.

By using AI to analyze 20 competitors instead of six, including indirect and future competitors, strategists can build a more robust foundation. The advantage is not just speed; it is the ability to arrive at a sharper core idea. The payoff is delayed: the client may not notice the extra depth in the moment, but they will experience higher confidence in the resulting creative work. This creates a competitive moat because most agencies, constrained by manual research, will continue to operate with narrower, less-informed perspectives.

From Vendor to Thought Partner

The most significant shift May describes is the move toward augmentation. By treating AI as a substitute colleague or a thought partner, strategists can overcome the isolation that often plagues the discipline.

"Most agencies have strategists in my experience have strategists working by themselves. And there are some strategists who can spend years really almost their whole career working by themselves on most projects. And the nice thing about AI is that it does afford you a thought partner in a way that a lot of people haven't had them before."

-- Mike May

When strategists use AI to iterate, they are not just saving time; they are unburdening themselves from the pressure of having lightning strike on demand. This allows them to pivot from executing tasks to solving higher-order business problems. The advantage is that the strategist becomes a peer to the client rather than a service provider. When a client begins texting a strategist for opinions outside of the project scope, the agency has successfully moved from being a replaceable vendor to a trusted business partner.

Key Action Items

• Reframe the AI Conversation: Stop pitching AI as a cost-saving tool. Pivot the narrative to acceleration by delivering higher-order value more quickly. (Immediate)
• Audit Your Junior Pipeline: Identify how you will provide foundational training to junior staff now that AI is performing entry-level synthesis tasks. This is a 12-18 month investment in future leadership.
• Expand Research Aperture: Update your discovery process to include three times the number of competitors you currently analyze. Use AI to synthesize these broader data sets to produce sharper core strategic ideas. (Over the next quarter)
• Institutionalize the Thought Partner Model: Train your strategy team to use AI as a sparring partner during the early, lonely phases of project development to combat strategy fatigue. (Next 30 days)
• Prioritize High-Altitude Conversations: Use the time reclaimed from manual research to engage clients on their broader business problems rather than just the immediate marketing deliverables. (Ongoing)
• Resist the Efficiency Discount: If a client demands a 20% fee reduction due to AI, counter-offer with an expanded scope of value, such as more touchpoints or deeper competitive insights, rather than a price drop. (Immediate)