--- title: How a Small Team Competes with Expedia description: "Expedia has 20,000 employees. We have a fraction of that. In the AI era, that is not a disadvantage — it is the reason we ship faster." canonical: https://nowah.xyz/blog/small-team-competes-with-expedia lastModified: "2026-08-07T08:32:24.864Z" --- # How a Small Team Competes with Expedia Expedia has 20,000 employees. We have a fraction of that. In the AI era, that is not a disadvantage — it is the reason we ship faster. Expedia Group has roughly 20,000 employees. Their annual technology budget exceeds what most startups will raise in their lifetime. They have teams dedicated to search algorithms, pricing optimization, marketing funnels, customer support, and a dozen other specialties. They have been doing this for nearly thirty years. We have a small team. On paper, this looks terrifying. In practice, it is our biggest advantage. ## The economics of small teams in the AI era ![Illustration for this section](https://pics.nowah.xyz/website-media/founder-006-img-1.webp) Something fundamental changed in the last few years. AI tools do not just help engineers write code faster. They multiply the output of each person across the entire stack. A single full-stack generalist using AI-assisted development can build, test, and deploy features that would have required a small team just three years ago. This matters enormously for startups. The minimum viable team to build a sophisticated product has shrunk dramatically. What used to require separate frontend, backend, mobile, AI, and infrastructure engineers can now be handled by generalists who build end-to-end. At Nowah, every engineer touches the full stack. The same person who builds a booking flow on the mobile app also writes the API endpoint, adjusts the AI agent's tool configuration, and deploys the change. There are no handoffs. No ticket queues. No "waiting for the backend team." An idea in the morning can be live by evening. ## What large companies structurally cannot do Expedia's size gives them distribution, brand recognition, and data. But it also gives them something else: organizational inertia. Large companies make decisions through layers. A product idea at Expedia goes through product management, engineering leads, design review, legal compliance, and executive approval before anyone writes a line of code. This process exists for good reasons at scale, but it means the cycle time from idea to shipped feature is measured in months, sometimes quarters. More fundamentally, Expedia cannot cannibalize their own [business model](/blog/business-model-ai-native-travel). Their revenue comes from showing you lots of options with sponsored placements and ads. An AI agent that simply tells you "book this flight, it is the best one" eliminates the surface area for that revenue model. They know the future is conversational AI. But getting there means dismantling the machine that generates their current revenue. We do not have this problem. We have no advertising business to protect. No legacy booking funnel to preserve. No shareholders expecting consistent revenue from the current model. We can build the right product without worrying about which sacred cow it gores. ## Speed as the ultimate weapon ![Supporting diagram](https://pics.nowah.xyz/website-media/founder-006-img-2.webp) In the early stages of any technology shift, speed is the [most important](/blog/why-speed-is-most-important-feature) competitive advantage. Not features. Not scale. Speed. We measure our iteration cycle in days, not quarters. When a user reports that the agent handles a certain type of request poorly, we can have a fix deployed within hours. When we see an opportunity to improve a flow, we ship the change and measure the impact the same week. When AI model capabilities improve, we integrate the improvements immediately rather than scheduling them for next quarter's roadmap. The 800-billion-dollar online travel market is dominated by companies that are structurally unable to innovate on the core user experience. That is not because they lack talent or resources. It is because their organizational structure, business model, and shareholder expectations all optimize for incremental improvement rather than paradigm change. A small team with the right thesis, the right tools, and the willingness to move fast can out-innovate companies a thousand times its size. Not in every dimension. Expedia will always have more marketing budget and more brand awareness. But in product innovation, speed, and willingness to rethink fundamental assumptions, small wins. ## AI tools that multiply output I want to be specific about what this multiplication looks like in practice. AI coding assistants measurably increase the speed at which our engineers write and debug code. This is not a theoretical claim. It is observable in our daily output. Features that would take a week take days. Bugs that would take hours to trace take minutes. But the leverage goes beyond writing code. AI helps [with architecture](/blog/legacy-otas-struggle-with-ai-architecture) decisions, test generation, documentation, and even understanding complex travel data specifications. Every person on the team operates at a level of output that would have been impossible without these tools. The implication for the industry is profound. The assumption that you need massive teams to compete in travel technology is no longer true. The economics have shifted. A small, focused team with AI-amplified capabilities can build a product that rivals companies with thousands of engineers, specifically because speed and focus matter more than headcount in a period of paradigm change. ## How to use your size as a weapon If you are a founder looking at a market dominated by giants, here is what I have learned. Do not compete where they are strong. Compete where they are structurally unable to follow. Large companies cannot easily abandon their current business model. That is your opening. Build the thing their org chart prevents them from building. Move faster than their decision-making process. By the time they have a meeting about whether to explore [conversational booking](/blog/ai-travel-booking-conversation-first), you should have built it, learned from real people in private testing, and iterated three times. Use generalists, not specialists. Every handoff is a delay. Every specialty boundary is a communication overhead. Generalists who understand the full system make better decisions and ship faster. And embrace the constraint of being small. You cannot afford to build the wrong thing, so you validate before you build. You cannot afford technical debt, so you avoid it. You cannot afford slow feedback loops, so you talk to early testers daily. Constraints breed discipline, and discipline beats resources in the early stages of any technology shift. Expedia has 20,000 people. We have a thesis, a small team, and the speed to prove it. In the AI era, that is more than enough. --- Nowah is an AI travel agent that searches and books real flights and hotels through conversation — no filters, no thirty open tabs. [Plan your next trip](https://app.nowah.xyz).