I agree with the prediction. The key driver here isn't even model intelligence, but horizontal scaling. A human pentester is constrained by time and attention, whereas an agent can spin up 1,000 parallel sub-agents to test every wild hypothesis and every API parameter for every conceivable injection. Even if the success rate of a single agent attempt is lower than a human's, the sheer volume of attempts more than compensates for it.

They also don't fatigue in the same way humans do. Within the constraint of a netpen, a human might be, say, 20% more creative at peak performance than an agent loop. But an agent loop will operate within a narrow band of its own peak performance throughout the whole test, on every stimulus/response trial it does. Humans cannot do that.