OpenAI wants to be the next big tech platform. A developer expert weighs in on how this is going. (www.businessinsider.com)

At DevDay OpenAI signaled a serious push to become the dominant developer platform for generative AI — rolling out an app directory, SDKs, new coding agents, expanded APIs and heavy infrastructure investments. Richard Murby of Devpost sees this as a deliberate attempt to create an “AI-flavored App Store” where developers can find users and earn revenue, turning OpenAI into a default choice the way Apple’s App Store once did. The company’s models (the same lineage that powered GitHub Copilot) and ecosystem tools are positioned to speed developer workflows from bug fixes to feature creation, making immediate productivity gains a strong incentive to build on OpenAI. For the AI/ML community this matters because OpenAI isn’t just iterating on models — it’s trying to shift the platform locus from devices to conversation, effectively proposing a new conversational operating system. That raises technical and strategic implications: accelerated model churn and weekly benchmark shifts force developers and enterprises to choose between single-platform lock‑in or multi-platform hedging; security, IT ingestion and integration remain bottlenecks; and hackathons are increasingly vital for real-world testing and developer onboarding. If OpenAI succeeds, it could set standards for tooling, monetization, and conversational UX — but widespread adoption will hinge on trust, stability, and clear developer economics.