The compute is here. LLM capabilities have already surpassed what most human operator workflows require. The bottleneck isn't intelligence — it's architecture.
The focus now shifts to tool calling, structured outputs, and enabling your existing data for AI consumption. The winners aren't chasing bigger models. They are building better data pipes.
Natural language interfaces for data are making executive-level intelligence accessible to every operator.
For contractors eyeing those "premium" AI training platforms promising $20–$xxx/hr for annotation work. The agreements look standard. They're not.
Buried in the fine print: sweeping IP assignments that claim your future inventions, biometric data collection that never expires, and arbitration clauses that kill your right to collective action. Hidden hooks that threaten your innovation, career mobility, and privacy — long after the gig ends.
Bloomberg terminals and analyst teams used to be the moat. AI is filling it in. Real-time intelligence, automated data pulls, natural language queries — what once cost six figures is becoming table stakes.
The information asymmetry that built Wall Street is collapsing. The smart money is already adapting.