Everyone Wants an AI Startup. Nobody Talks About Distribution

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Building an AI product in 2026 takes a weekend. Getting people to actually use it? That might take years. We don't have an AI innovation problem. We have an AI distribution problem.

The Real Bottleneck Nobody Mentions

Here is something strange happening right now. More AI startups are launching every week than ever before in history. And more of them are failing faster than ever too.

We spent years believing the hard part was the technology. Build a smart enough model, train it on enough data, make it fast enough, and people will come. That story made sense when only a handful of companies could afford to do it.

That story is completely dead now.

Thanks to APIs from OpenAI, Anthropic, and Google, and open-source models from Meta that you can run on your own laptop, product development has become almost trivially fast. A solo founder with a good idea...

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Sponsor Posts Niantic Spatial: World models need real-world data — Scaniverse is the gateway to spatial services — self-serve and built for AI and robotics. Large-area 3D reconstruction from 360° cameras and precise localization, anywhere machines operate. Protecting your Cloud Applications Data — Backing up Office 365, Google Workspace, Dropbox & Salesforce data