The moat is high TPS. No one has rolled it to average consumers though.
Human memory has a finite capacity and decays over time. If you do many inspection tasks in parallel you are splitting that finite memory. If you do the same tasks sequentially, the human can give instant feedback to the model without costly context switching. This in turn increases iteration speed and reduces total labor costs. This is no different from developers preferring JavaScript or Python for immediate feedback and fast iterations.
Meanwhile, Oracle is handing Tencent 100.000 GPUs at 1.60$ hour, dangerously close to breakeven...
What does this tell you?