Something strange is happening in AI, and it's not just the technology. The industry is developing its own language, its own logic, and increasingly, its own reality that feels disconnected from the rest of us.
OpenAI is on a shopping spree, snapping up finance apps and even talk shows. Meanwhile, companies are scrambling to rebrand themselves as AI infrastructure plays, whether it makes sense or not. Anthropic just announced a model they claim is too powerful for public release, but apparently fine for select partners.
This is where we are now. A world where AI capabilities are being gatekept, where acquisition strategies seem scattershot, and where the vocabulary itself (tokenmaxxing, anyone?) creates barriers to entry.
For anyone trying to use AI tools in their actual work, this matters more than it seems. The decisions being made behind closed doors about what gets released, who gets access, and how these systems develop will directly impact what lands in your workflow.
The widening gap isn't just about technical knowledge anymore. It's about access, transparency, and whether the AI tools being built will actually serve the people trying to use them, or just the insiders playing a different game entirely.
We're watching an industry mature in real time, complete with all the growing pains, power plays, and identity crises that come with it. The question is whether this path leads somewhere useful, or if we're just optimizing for metrics that don't matter to anyone outside the bubble.
