For years, software moats were defined by separation: proprietary data, switching costs, closed ecosystems and lock in. The assumption was that durable advantage came from keeping competitors out and customers in. That framework made sense in an earlier era of software, but it feels incomplete for a world shaped by APIs, agents and interoperable systems, where many of the strongest companies are not winning by widening moats around themselves, but by building canals between participants.
That distinction matters because a canal creates defensibility differently. It does not protect value primarily through exclusion, but compounds value through flow. Data moves through it, models route through it, agents coordinate through it, trust accumulates through it. The more activity that passes through the system, the stronger and harder to displace the system becomes. In that sense, the route itself becomes the moat.
You can see this across the entire technology stack.
At the compute layer, Nvidia $NVDA, Advanced Micro Devices $AMD, Broadcom $AVGO and Taiwan Semiconductor Manufacturing Company $TSM increasingly look like canals for intelligence itself, where workloads, training and inference flow.
At the infrastructure layer, Amazon $AMZN, Microsoft $MSFT, Alphabet $GOOGL, Oracle Corporation $ORCL and Cloudflare $NET increasingly function as canals for cloud, networking and edge routing. Even Fastly $FSLY and Confluent $CFLT fit the pattern.
At the data layer, Snowflake $SNOW, MongoDB $MDB, Elastic $ESTC and Datadog $DDOG increasingly look like canals for data in motion, not just data at rest.
At the orchestration layer, Palantir Technologies $PLTR, ServiceNow $NOW, Salesforce $CRM and UiPath $PATH increasingly sit in the flow of decisions, workflows and agents. That may become one of the deepest canal layers of all.
At the transaction layer, Visa $V, Mastercard $MA, Adyen $ADYEN, Block $XYZ, PayPal $PYPL and Coinbase $COIN all behave like canals for financial flows.
At the developer and application layer, Shopify $SHOP, Twilio $TWLO, GitLab $GTLB, Adobe $ADBE, HubSpot $HUBS and Atlassian $TEAM all share the same property: they become stronger as more builders, businesses and transactions flow through them.
Even the physical world increasingly has canal businesses. Uber $UBER routes mobility, Tesla $TSLA increasingly routes energy and autonomy, and NextEra Energy $NEE may be a canal for future power flows.
Different layers. Same pattern.
Flow as infrastructure.
That is what makes canal thinking powerful. It reframes defensibility away from asking how to deepen lock in and toward asking how to become a route others cannot afford to bypass. As systems become more connected, the highest leverage may sit less with whoever owns an isolated application and more with whoever orchestrates movement across ecosystems.
The next great moats may not look like walls at all.
They may look like canals.
Reply to everything. Edit nothing.
Your inbox is full. Slack is piling up. Client messages need a response yesterday. Typing thoughtful replies to all of it takes hours you don't have.
89% of messages sent with zero edits. Used by teams at OpenAI, Vercel, and Clay. Works on Mac, Windows, and iPhone.
Best Tech, Marketing & Sales Tools for Startups & VCsCurated list of the best tools for startups, VCs, and founders — tools we actually use and recommend.Terms of Service