Each major advancement does not imply that more major advancements are necessarily coming. Deep learning did turn out to be a very major advancement! And it's

Each major advancement does not imply that more major advancements are necessarily coming. Deep learning did turn out to be a very major advancement! And it's still bearing new fruit. But it does not at all imply that future advancement is inevitable or that advancement must continue at its present rate. It's also worth considering that the domains where deep learning now excels are the same domains where it excelled when it first became popular (AlphaGo and AlphaFold are perhaps exceptions) and that all this advancement comes from hammering away at the same problem spaces for so many years, with huge budgets. Maybe the next area for advancement is something like combining fast on-device deep learning inference with robotics, and maybe that opens up a whole new world of possibilities. But that's a maybe.