"Building a moat is harder than ever. AI has made the playing field more accessible than it's ever been."
— Gokul Rajaram, 20VC · March 2026A practical guide to defensibility in the AI era — built on Buffett's original insight, Hamilton Helmer's 7 Powers, and Gokul Rajaram's updated 8 Moats framework, with our synthesis of how those moats stack into six durable compounds.
The concept of a "moat" has evolved across three eras. Each thinker added a layer the previous one didn't need.
1990s — Industrial era
Buffett popularized the "economic moat" as the durable competitive advantage protecting a company's profits — like a castle's moat keeping invaders out. Brands, switching costs, and scale economics were the canonical examples. The framing was deliberately simple: find one strong moat, hold it for decades.
"The most important thing is finding a business with a wide and long-lasting moat."
2016 — Software era
In 7 Powers, Helmer turned moats into a rigorous taxonomy: scale economies, network economies, counter-positioning, switching costs, branding, cornered resources, and process power. Each "power" had to satisfy both a benefit (you earn more) and a barrier (competitors can't easily copy). It became the canonical strategy text for software.
"A power is a persistent differential return."
March 2026 — AI era
On 20VC with Harry Stebbings, Gokul updated Helmer's framework for a world where software is easier than ever to build. He proposed eight moats relevant to today's AI-native companies — and argued that no single one is sufficient anymore. Defensibility now requires stacking.
"In a world of AI, you need at least four of these eight moats to be enduring."
Anyone trained on Buffett or Helmer will notice it: brand — the most famous moat of all — isn't in Gokul's list. That's not an oversight. It's a deliberate decision worth understanding before reading further.
Gokul's reasoning: brand strength is hard to measure on its own, and when you trace it back, it usually turns out to be a downstream effect of something more fundamental — network effects (Facebook), scale (Amazon), distribution (Apple), or workflow embedment (Salesforce). Brand is the visible surface. The moat underneath is structural.
This is the sharpest break with the Buffett era. Coca-Cola's brand was the moat. In the AI era, brand is a signal of a moat — not the moat itself.
Gokul's eight categories, with the original definition, why each one — on its own — is no longer enough, and a B2C and B2B failure case for each.
Click any card to see the failure mode and the evidence behind it.
No single moat is durable on its own. Defensibility now comes from stacking.— The core insight, simplified
The Buffett-era question was: do you have an advantage? The Rajaram-era question is sharper: can it survive AI commoditization, platform changes, and the next ten years? Advantage is a snapshot. Durability is the question that matters.
Product, data, and cost advantages can be replicated by well-funded competitors.
Brand and distribution edges erode under sustained capital pressure.
Technology shifts and new business models can route around an entire category.
Networks migrate. Workflows reset. Switching costs decay when alternatives compound.
Policy change can dissolve compliance-based barriers overnight.
Brand, scale, and product advantages all erode over time without reinvestment.
Moats are the category of advantage. Loops are the mechanism by which that advantage compounds. Every durable company runs on at least one of these — most run on several at once.
A moat without a loop is a static position. A loop without a moat is a feature competitors can copy. The combination is what creates durability.
Every loop has the same shape: a repeatable trigger that starts it, a sequence of actions that creates value, a compounding asset the business keeps, and a retained value the customer carries forward. Growth happens because something accumulates and something is retained — on both sides.
Each cycle turns existing users into a source of new users. The product spreads through use.
Each cycle adds information that makes the product more valuable to the next user.
Each cycle reduces uncertainty for the next customer. Confidence becomes the asset.
Each cycle makes users (or teams) better at using the product. Switching means relearning.
Each cycle generates surplus that funds the next cycle. Margin becomes the engine.
When one loop slows, another carries. That's why the strongest companies run multiple loops in parallel — and why their timescales matter.
A single loop is a single point of failure. A stack of loops keeps compounding even when one cycle stalls.
When you stack the right moats, they reinforce each other. Each compound creates a self-sustaining loop — the part that turns a defensible position into a durable one.
Gokul's whole thesis compresses to a four-step logical chain. If you accept the first three, the fourth is the only conclusion left.
Software is easier to build than ever. Replication speed has collapsed from years to weeks.
Foundation models commoditize what used to be proprietary — data, workflow steps, decision logic.
Each of the eight, taken alone, has a known failure mode. The evidence is already on the board.
The companies still standing in five years will combine multiple moats into self-reinforcing systems.
Run all three steps yourself with the $179 Stacking Moats Playbook — the complete DIY process. Or jumpstart Step 1 right now: submit a few details and we'll audit your moats for you, free. Your scorecard arrives the next business day.
Built for founders, heads of growth, and operators who'd rather know now than find the weak leg in a Series B room. An honest 0–3 on each of the 8 moats, anchored against comparable companies — not consultant flattery.
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Two ways to run it. The free scorecard gets Step 1 done for you. The Playbook is the complete DIY process — all three steps, yourself. The call brings in an expert to run the Defensibility Stress Test on your specific business.