What AI says about AI eating itself and the world ....
AI says it is targeting IT and software, finance, customer services, manufacturing and logistics, and media and entertainment.
AI TRANSFORMATION
Deutsche Bank, Research Institute Report: What AI says about AI eating itself and the world ...
The market gyrations of the past two weeks, as fears about Al disruption hit first software and then technology and financial stocks, have left anxious investors wondering: which sector will be next to drop?
We went straight to the source, asking our proprietary Al tool dbLumina, which runs on Google's Gemini 2.5 Pro, to do a Deep Research analysis.
"You are a sophisticated analyst specializing in the implications of Al for the economy and markets," we said, asking it for "a report of no more than 3,000 words with deep analysis of which global sectors are likely to be most and least disrupted by Al". We specified a number of other parameters and, after some discussion, it generated the report you see below not much more than a minute later.
Al is set to increase global GDP and labour productivity, the Al-generated report says. Data-rich sectors with repetitive, pattern-based tasks are most likely to be disrupted, it says.
Citing numerous sources from Stanford University, Brookings and the World Economic Forum to Wikipedia, Reddit, blogger Brian Manning and one of our competitors, it singles out information technology and software for disruption, thanks to automation of core tasks and disintermediation.
(In the interest of transparency, we are publishing the report completely unedited. For readability, we have not included the links to sources in the original report.
Other industries ripe for disruption include finance, thanks to the rise of robo-advisers and automation of back-office roles like data processing; customer services; manufacturing and logistics; and media and entertainment, it says.
The most insulated sectors require empathy and human connection, like direct patient care and education; those requiring manual dexterity in unpredictable environments such as construction and skilled trades; and those demanding strategic and creative leadership, the report says. Corner-office executives and one-of-a-kind artists are safe for now.
We broadly agree with the conclusions, which are a faithful reflection of the current consensus. Given how the model is trained-and the way it generates the output—it is unlikely to deliver genuinely novel insights. Still, it provides a useful synthesis of prevailing views, produced in seconds.
That said, we would place more weight on the near-term obstacles to adoption than the report suggests. These range from data quality and governance to operational constraints such as access to energy. Conversely, we think the long-term opportunity is likely even larger than implied-extending well beyond process automation and improved analytics as genuinely new economic and business models emerge.
We also think the report goes too far in equating disruption with inherently negative outcomes. New technologies often enable enterprises and individuals to work faster, better, and more enjoyably. Many of the sectors and companies that have sold off in recent days are likely to adapt and ultimately use these capabilities to their advantage, potentially becoming more productive and profitable. Markets, however, tend to sell first and reassess later.
The report also cites headline figures-particularly around productivity gains and employment impacts-that read as authoritative but may be drawn from a small number of widely referenced studies. Those estimates can come to dominate the literature through repetition rather than superior rigour, and the report may therefore unintentionally elevate their status.
Beyond that, the report generated by dbLumina is well-structured and clear, even if it inevitably lacks a memorable central argument and the writing is rather woolly. Not all of the information is supported by the links cited, and even where it is, there are instances where two sources may be incompatible. But it's a strong starting point, proving its own argument: Al is useful, potentially revolutionary, and here to stay.
Download the entire report from Deutsche Bank Research Institute
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