Talking about the work.

When the cost of building software collapses, markets too small for a software vendor become worth serving, and the scarce input moves to the person who owns the problem and a place to run the software every day.

When the cost of building software collapses, more niche markets become worth serving, not fewer — the outcome is more builders and more products, not a shrinking industry.

On-device inference is a second democratization of AI: the first put models in the cloud for everyone, this one removes the internet connection and subscription as prerequisites entirely.

Some tasks suit AI that runs locally better than AI in someone else's cloud — not because it's smarter, but because it doesn't depend on a connection or a usage policy it doesn't control.

Whether autonomous AI agents can actually generate revenue depends on separating what's shipping from what's still hype — most of what gets called an autonomous agent today is a demo, not a business.

Local-first AI assistants — ones that run on your own hardware rather than routing through someone else's cloud — are viable to build today, not just a privacy ideal to wait for.