Nobody can really know what happens next - it’s an unprecedented technology leap. Yet there are many way how it can pan out as a good thing. AI is not creative. It can do things that we perceive and consume as something creative, but the nature if this technology is tied to inference and transformation. It needs original data to improve.

What it means is that it will eventually consume any (maybe all) jobs, tools and processes that are derivative and that can be assessed under a known criteria. Perhaps not a bad thing, and may be the end if various forms, reports, docs, manuals, processes and protocols. Or rather, the end of those things for humans.

If your app/site is a resource library for accountants, or an ad-ridden blog with recipes, or a doom-scroll feed of nudes - you’re in trouble.

If you are building a platform for real people to connect and collaborate on topics that require human touch - you’re likely to be in control of the hottest resource of the next decade.

Consider this - modern AI models are running out of original training data. Historical data is already absorbed. Publicly available mainstream data (news, blogs, tweets) is synced in almost instantaneously. Shared personal data is linked in too. Models “intelligence” growth already starting to slow down - most will be about the same in the next 2-3 years. Much of the new training is infested with slop. Training models on AI-generated data is akin to inbreeding - it’s a sure fire way to introduce more hallucinations.

The world will need original data with deep context, peer review, multiple participants, innovative ideas - the kind of data that is only available at scale from group conversations of real people, in specialised topics, current events, relatable trends, real world observations. In other words I believe that you can bet on communities more than ever before.