The DevDay Paradox: OpenAI Can Help Developers While Competing With Them

For developers in the AI ecosystem, OpenAI’s annual DevDay is like Christmas and a visit from the IRS rolled into one. It’s a showcase of powerful new tools that promise to make building easier, faster, and cheaper. And yet, it’s also the day many startups watch as their core features get absorbed directly into the platform they’re built on. This is the central paradox of building on someone else’s rocket ship: OpenAI is both your greatest enabler and your most formidable competitor.

The Great Enabler: New Toys for the Workshop

This year's DevDay, held in late September, was a treasure trove for developers. The announcements confirmed OpenAI's commitment to making its platform the easiest place to build AI applications. The launch of GPT-6.1 Sol, a model offering near-flagship

intelligence at a fraction of the cost, was a game-changer. It gives developers more power for less money, enabling more complex workflows within the same budget. Additions like an 'Ultrafast' mode, a refreshed Codex command-line interface, and a new 'Decisions API' for quick, structured judgments further reduce friction. OpenAI’s message is clear: we want to give you the best models and the best tools to build whatever you can dream up. For startups, this is a massive tailwind. Cheaper, faster, and more capable APIs mean better products, lower operating costs, and the ability to tackle more ambitious projects.

The Great Absorber: When Your Feature Becomes Theirs

But with the other hand, OpenAI takes. A key theme of the event was turning ChatGPT itself into a full-fledged platform, an operating system for AI. The introduction of 'Plugin Extensions' allows developers to build their applications directly inside ChatGPT, but it also means OpenAI controls the environment. More pointedly, new native features often replicate the functionality of popular third-party tools. Consider the new 'Dots'—persistent AI agents that can perform ongoing tasks. While developers can build their own agents with the new Agents API, OpenAI now has its own native, highly-integrated version. This is the classic platform dilemma known as being 'Sherlocked', where the platform owner (like Apple, historically) releases a native feature that eliminates the need for a third-party app. For a startup that built its entire business around, say, a sophisticated agentic wrapper for the API, seeing Dots arrive is an existential threat.

The Platform Playbook Is as Old as Tech

This dual role of partner and competitor isn't unique to OpenAI. It's a well-worn strategy in the tech world. Apple did it with the App Store, Google with Android, and Microsoft with Windows. Platforms create value by attracting developers who build useful applications, which in turn attracts users. But as the platform matures, it naturally seeks to improve its core offering by integrating the most popular and essential functions. OpenAI's Chief Strategy Officer, Jason Kwon, has been open about the company's focus: anything on the 'critical path' to achieving artificial general intelligence (AGI) is something OpenAI will build itself. Everything else is an opportunity for the ecosystem. The challenge for developers is that the line between 'critical path' and 'niche application' is constantly shifting.

How Developers Can Survive and Thrive

So, how can a startup avoid being swallowed whole? The key is to not just be a thin wrapper around an API. True value lies where the platform is unlikely to go. This means focusing on highly specialized, vertical-specific problems—like AI for manufacturing processes or deep compliance for regulated industries. Founders should build defensible 'moats' that aren't dependent on the underlying model's capabilities. This could be a unique user experience, proprietary data, deep workflow integration, or a strong community. The goal is to build a product so embedded in a customer's specific needs that a generic tool from OpenAI, no matter how powerful, can't easily replace it. The startups that succeed will be those that use OpenAI's powerful tools as a foundation but build their house on land they own.