Does OpenAI lack a moat? The era of AI improvisational software has arrived; the U.S. faces another 'Netscape curse'

OpenAI's technical lead may no longer guarantee long-term control of the AI market. It has been reported that a new wave of "AI improvisational software" — lightweight, app-level creativity built on top of general-purpose large language models — is eroding the traditional product moat: models are becoming plumbing, while apps become the battleground. Can a model provider hold exclusive sway when thousands of developers can rapidly combine, fine‑tune or replace the underlying model?

What is changing in the stack

AI improvisational software treats foundational models as interchangeable building blocks. Developers stitch together APIs, fine‑tuned weights and open‑source checkpoints to produce novel features fast. Western actors such as Meta’s Llama and a proliferation of open models have lowered barriers. Chinese firms including Baidu (百度), Alibaba (阿里巴巴) and Tencent (腾讯) are simultaneously racing to deploy domestic alternatives and services tailored to local needs. It has been reported that this modularity — and the growing availability of models outside any single vendor's control — threatens the exclusivity that once looked like a competitive moat.

Geopolitics, chips and the 'Netscape curse'

The shift is happening against a backdrop of geopolitics: U.S. export controls on advanced chips and rising concerns about tech sovereignty push countries to build their own stacks, fragmenting advantage. Analysts warn of a modern “Netscape curse” — the idea that an early platform creator can be commoditized by a vibrant ecosystem of higher‑level applications and rival implementations. Will OpenAI end up playing the role of an early browser maker, remembered for a breakthrough but squeezed by downstream innovators? It has been reported that investors and policymakers are already recalibrating for that possibility.

If models really become interchangeable plumbing, the competition will move to data, distribution and the creativity of apps — and to who controls developer tooling and standards. That raises hard questions for regulation, security and business strategy. Which companies will adapt — and which will be left as a useful but replaceable layer?