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- The Great Flattening: How AI "Pancaking" is Killing Traditional Departments
The Great Flattening: How AI "Pancaking" is Killing Traditional Departments
Department of One: How AI is making your entire team obsolete
TLDR: The most radical organizational shift since the assembly line is happening right now: entire departments are being compressed into single AI-amplified individuals who outperform traditional teams. This isn't downsizing, it's "pancaking," where companies like WhatsApp ($19.3B with 55 employees), Midjourney ($500M with 40 employees), and Cursor ($300M ARR with 20 engineers) prove that one exceptional person with AI can replace entire departments. The secret weapon? Eliminating the hidden "coordination tax" that kills speed and drains budgets, while concentrating expertise in strategic thinkers who orchestrate AI rather than execute tasks.
What if I told you that the highest-performing marketing department at a major company consists of exactly one person?
Not one person managing a team. Not one person coordinating with others. One person. Period.
And they're outperforming traditional 10-person departments by every metric that matters.
Welcome to the Great Flattening: the most radical organizational transformation since Henry Ford's assembly line. But instead of breaking work into smaller pieces, we're compressing entire departments into individual "super-contributors" powered by AI.
This isn't theoretical. It's happening right now, and the companies embracing it are leaving traditional organizations in the dust.
The WhatsApp Wake-Up Call
Let's start with a number that should terrify every traditional business leader: $345 million.
That's the value per employee when Facebook acquired WhatsApp for $19.3 billion. Fifty-five employees processing 50 billion messages daily. While other tech companies were hiring armies of engineers, WhatsApp built something bigger with a team smaller than most company departments.
They discovered what I call the "coordination tax": the hidden cost that kills speed, drains budgets, and creates bottlenecks in every traditional team structure. When you eliminate meetings, approvals, and handoffs, something magical happens: one exceptional person can outperform ten good ones.
But WhatsApp was just the beginning.
The New Math of Business
Today, companies are achieving impossible economics through what I call "pancaking": flattening entire departments into AI-amplified individuals.
Midjourney reached $500 million in revenue with just over 100 employees. That's $5 million per person while traditional creative agencies struggle to hit $200K per employee.
Cursor, an AI code editor, started with just 20 engineers and hit $100 million ARR in 12 months, eventually scaling to 60 people as they reached $300 million ARR. Even at this larger size, each team member represents $5 million in revenue, numbers that make traditional software companies look inefficient.
Jasper AI achieved $840K revenue per employee in 2023 with their AI-first approach, compared to $100-200K at traditional marketing agencies.
The pattern is clear: smaller teams with AI amplification are crushing larger teams with traditional coordination structures.
The Department of One Revolution
The most fascinating example comes from Jacob Bank at Relay.app. His entire marketing operation consists of himself and 40+ AI agents, replacing what would traditionally require a 5-person team.
His AI agents handle everything:
LinkedIn Engagement Coach: Analyzes his posts monthly and provides strategic recommendations (like posting Saturday mornings for viral potential)
Blog Post Updater: Monitors content freshness to maintain SEO rankings
Competitor Pricing Tracker: Scrapes competitor websites and alerts on pricing changes
Demo Qualification System: Processes leads through HubSpot without human intervention
Jacob isn't just managing tools, he's orchestrating an AI-powered marketing machine that operates 24/7 without coordination overhead.
The Pancake Test: Is Your Department Ready?
Here's a simple framework to identify pancaking opportunities in your organization:
The Core Question: If this department disappeared tomorrow and you could save only one person to rebuild it with AI, who would it be?
Clear answer: Perfect pancaking candidate
Uncertain: Traditional team structure likely better
Multiple people come to mind: You need to identify the true strategic owner
Then apply the 3-Layer Validation:
Strategy Layer: Does this function require high-level strategic thinking? (Human essential)
Execution Layer: Is most work process-driven and data-intensive? (AI advantage)
Coordination Layer: Does success depend more on internal coordination than external relationships? (Pancaking opportunity)
Score 3/3? You have a perfect pancaking candidate.
Most department budgets aren't paying for output, they're paying for coordination. Meetings, approvals, status updates, handoffs. The average knowledge worker spends 21 hours per week in meetings and managing communications.
When Lumen Technologies implemented AI-powered customer success processes, they cut resolution time from hours to 15 minutes, projecting $50 million in annual savings. The secret wasn't better people, it was eliminating coordination bottlenecks.
This is why one AI-amplified individual often outperforms entire teams. Zero internal meetings. Instant decisions. No handoff delays.
The 4-Phase Pancaking Process
Ready to transform your organization? Here's the proven framework:
Phase 1: Assessment (Weeks 1-2)
Apply the Pancake Test to each department
Calculate your coordination tax (meeting hours, approval delays)
Identify natural pancakes (star performers already carrying teams)
Phase 2: Selection (Weeks 3-4)
Find your "10x performers": people already outperforming peers by multiples
Test for strategic thinking + AI fluency + autonomous execution
Validate they have an "owner mindset" rather than task-executor mentality
Phase 3: AI Amplification (Weeks 5-8)
Assemble the AI tool stack for analysis, execution, and coordination
Document every team process that AI will handle
Transfer full decision-making authority within defined boundaries
Phase 4: Transition (Weeks 9-12)
Run parallel operations (individual + team) for 30 days
Measure output quality, decision speed, and cost efficiency
Redeploy or eliminate team positions based on results
Common Pancaking Mistakes to Avoid
Not every department can be pancaked. Avoid these critical errors:
Don't pancake customer service: Requires human scale and empathy
Don't choose task executors: You need strategic thinkers who can orchestrate AI
Don't maintain coordination requirements: The whole point is eliminating coordination overhead
Don't limit decision authority: Pancaked individuals need full ownership within boundaries
The Creator Economy Proof Point
Individual creators are proving the pancaking model works at scale. Bhanu Teja, a 24-year-old engineer, created SiteGPT as a weekend project. It now generates $15,000 monthly revenue and provides AI chatbot solutions that replace entire customer service teams across thousands of websites.
Damon Chen built Testimonial.to as a one-person operation. Marie Ng developed Llama Life, reaching thousands of paying customers as a solo founder. These aren't just businesses, they're proof that individuals with AI can create solutions that pancake entire departments for their customers.
The Competitive Reality
Here's the uncomfortable truth: while you're optimizing team coordination, your pancaked competitors are making decisions in minutes that take your teams weeks.
Speed is becoming the ultimate competitive advantage. When Jacob at Relay.app needs to adjust pricing strategy, he doesn't schedule a meeting with his marketing team, he IS the marketing team. Decision made, AI agents execute, results measured instantly.
Traditional advantages like resources, processes, and team size are becoming liabilities when speed matters more than scale.
The Great Flattening is Already Here
This isn't a future trend, it's happening now. Companies embracing pancaking are achieving impossible economics while traditional organizations struggle with coordination overhead.
The question isn't whether the Great Flattening will happen. It's whether you'll lead it or be flattened by it.
The most successful companies of the next decade won't be those with the largest teams, they'll be those with the most strategically amplified individuals.
Your department heads might soon BE the entire department. Your marketing team might be one person with 40 AI agents. Your development team might be a handful of engineers each representing millions in revenue.
The assembly line broke work into pieces. The Great Flattening is putting it back together, one AI-amplified individual at a time.
The Pancake Test starts now: If your marketing department vanished tomorrow and you could save one person to rebuild it with AI, who would it be?
If you have a clear answer, you've just identified your first pancaking opportunity.
If you don't, you might want to figure it out before your pancaked competitors do it for you.
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