The proliferation of workplace meetings is a symptom of a much deeper issue: broken team structures in the age of AI. While many rely on AI note-taking apps to manage meeting overload, these tools merely bandage the root cause. AI has fundamentally altered the math of team productivity, increasing individual output by an order of magnitude. Consequently, the coordination cost of traditional, oversized teams has become catastrophically expensive, generating endless alignment sessions and meetings that destroy value rather than creating it.
The Math of Team Size and AI
Historically, disciplines ranging from evolutionary psychology (Dunbar’s number) to software engineering (Brooks’ Law) have shown that human communication optimizes at around five people. In a five-person team, there are only 10 communication pathways. At 20 people, this jumps to 190 pathways, leading to exponential coordination overhead. Before AI, adding extra people to a team carried a manageable coordination tax. Today, AI-native companies see employees generating 5 to 10 times more value. When individual output surges, the coordination cost of an extra person results in massive losses in productivity.
Volume vs. Correctness
AI has made the sheer volume of work cheap and abundant. What is now scarce is correctness—shipping products that are architecturally sound, strategically coherent, and free of subtle errors. Large teams organically optimize for volume, creating an “agentic tarpit” where AI output outpaces the team’s shared context, requiring endless meetings to verify and synchronize. Conversely, a five-person team shares a tight mental model, allowing them to verify AI output effectively and catch meaningful errors without overwhelming coordination.
Scouts and Strike Teams
To adapt, organizations should utilize two structural archetypes:
- Scouts: Individuals armed with an AI toolkit who excel at exploration, rapid prototyping, and mapping new territory. While fast and highly independent, they lack the peer verification needed for sustained, error-free production.
- Strike Teams: Groups of five exceptional individuals using AI. They possess the necessary shared context to execute flawlessly and maintain high standards of correctness, making them the optimal unit for building and shipping products.
Expanding Organizational Ambition
The biggest mistake leaders make is viewing AI strictly as a cost-cutting tool used to execute the current mission with fewer people. Instead, AI should be seen as a force multiplier. A 500-person company hasn’t just gained the ability to operate with 50 people; it has acquired the productive capacity of a 5,000-person enterprise. Leaders must reorganize their talent into five-person strike teams and aim for missions that are dramatically larger. By right-sizing teams to optimize for AI capabilities, organizations will naturally eliminate unnecessary meetings and unleash unprecedented levels of innovation.
Mentoring question
If your team’s productive capacity were suddenly multiplied by ten using AI, how would you expand your strategic ambition instead of simply cutting costs or headcount?
Source: https://youtube.com/watch?v=hnwM01CpzmA&is=iSHUuB1vOpbk4Gt7