One impression I keep having is that most AI company marketing, success stories, and case studies are overwhelmingly focused on web and app development.
JS/TS everywhere.
React, Next.js, React Native.
Backends in Node, Bun, sometimes Python.
A bit of Rust here and there.
Occasionally even PHP — and usually framed as “innovative”.
But I see almost nothing around Swift, Objective-C, Kotlin, or C++. Even low-level languages in general feel underrepresented, which is strange given how much performance, systems work, and engine-level logic AI actually depends on.
It feels like the public narrative of the AI boom is 100% web-first, even though the foundations of AI (engines, inference runtimes, graphics, simulation, hardware integration) live much closer to C/C++ and systems programming.
Is this just marketing bias?
Is it because web apps are easier to demo, monetize, and onboard users?
Or are we underestimating how much low-level work is happening quietly behind the scenes?
Curious to hear perspectives from people working closer to engines, mobile native, or systems-level AI.
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