Sanjay Ghare is the founder and CEO of Vervotech (a Constellation Inc. company) and an investor in travel startups.getty​For over a decade, the travel technology industry has chased a singular ambition: They want to fill gaps by making consumers' lives easier. I've watched this pursuit lead to the popularization of what we call "super apps," one platform that does everything.The logic makes complete sense. If it is possible for consumers to communicate, pay bills, plan trip schedules, order food, call for transport, acquire insurance and make investments all in one place, why wouldn't they? As long as a super app can provide consumers with convenience, it can retain those customers who, in turn, avoid high switching costs. According to this logic, then, the larger the number of services the super app can provide, the more effective the ecosystem is. More users attract more partners, which can then attract even more users. The scale reinforces itself. It was an elegant model that met the goal of offering the most streamlined customer experience. For a while, super apps were incredibly successful. Yet, a closer look at today's digital landscape suggests the industry may have reached an inflection point. I've experienced this firsthand in my role as a travel startup investor: The question is no longer whether a platform can do everything. It is whether users even want one that can. This is where things are starting to pivot. The rise of artificial intelligence is quietly reshaping the equation. The success of super apps was never purely about offering more services. It was about reducing friction. Every additional app downloaded, every new login created and every payment method configured introduced small inconveniences. Having it all under one roof addressed those inconveniences and discouraged users from switching platforms.However, that logic becomes less compelling when artificial intelligence starts acting as the de facto interface. Users can now increasingly ask an AI assistant to coordinate their entire experience. The interface becomes conversational rather than navigational. The user no longer thinks about which application to open; the AI decides which service is best suited for the request. This essentially rewires the economics of digital platforms at the root level. When discovery shifts from browsing applications to asking questions, the competitive advantage of being a one-stop destination begins to weaken. Users are no longer choosing platforms. They are choosing outcomes. Generalization Is Becoming EasierGeneralization has become easier and more affordable. And this will only become more true as time goes on. Conventional wisdom suggests that AI will make software more generic. If everyone is using the same platform to create software, it has a higher chance of ending up the same. As AI continues to lower the effort required to switch between services, differentiation must shift from interface design to domain expertise. The best travel platform may not be the one offering every travel-related service. It may be the one with the most accurate accommodation content, the strongest pricing intelligence or the most reliable booking infrastructure. This holds true for all domains that exist. For example, the best financial platform may not be the one attempting to become a complete financial ecosystem. It may be the one that understands fraud prevention better than anyone else. As access becomes easier, expertise becomes a differentiator. Why? Because artificial intelligence only makes accessing specialized capabilities easier. It does not make developing those capabilities any less difficult. This distinction matters because expertise compounds over years of investment in proprietary data, operational knowledge and industry-specific intel. Those advantages are far more difficult to replicate than user interface features. I would argue that, in a way, AI is shifting value from presentation to substance. The Return Of Best-Of-Breed Thinking For years, organizations embraced large software suites in pursuit of simplicity. Over time, I watched as many discovered that all-in-one platforms often delivered breadth at the expense of depth. As integration technologies matured, businesses gradually returned to selecting specialized products that solved individual problems exceptionally well, rather than relying on a single vendor for everything. I believe a similar pattern may now emerge in consumer technology. Artificial intelligence reduces the cost of stitching together specialized services and presents users with a unified conversational interface. The complexity of using disparate systems no longer rests on the shoulders of the user. Instead of asking users to navigate increasingly crowded ecosystems, AI allows businesses to compete by becoming the best at one critical capability while remaining accessible through many different interfaces. The focus will shift from augmenting a consumer's experience to making your business vital in that process. Scale Alone Is No Longer Enough I'm not implying that super apps will vanish. Rather, they will remain important players in specific sectors where integrated ecosystems provide real solutions to infrastructural problems. That said, not all tech companies need to continually extend their service offerings. The more services a company implements in its operations, the more complicated it becomes. The introduction of new services means not only new operational challenges but also new responsibilities, new regulatory requirements and greater customer demands. Once you reach a certain point, adding more services can dilute the very expertise that made your platform successful in the first place. History is full of companies that expanded their breadth and lost visibility of their original value proposition. In an AI-driven world, that trade-off becomes even more apparent. In this new era, replicating breadth will become much easier than replicating depth. ​The era of the super app is unlikely to end overnight. But the super app's defining advantage of keeping users inside a single ecosystem is becoming less powerful in a world where intelligent systems increasingly decide where users go next. In my view, the future will not belong to platforms that do everything but rather to those that do one thing exceptionally well.​​Forbes Technology Council is an invitation-only community for world-class CIOs, CTOs and technology executives. Do I qualify?