In a meta-experiment on the future of the global economy, Deutsche Bank Research Institute turned to the machine itself for answers. Rather than relying solely on traditional economic modeling, analysts asked their proprietary AI tool, dbLumina, to identify exactly which industries it intends to upend. The resulting report offers a stark vision of a “great rebalancing,” pinpointing exactly where the algorithms expect to displace human labor.
The experiment, detailed in a report titled “What AI Says About AI Eating Itself and the World,” utilized Google’s Gemini 2.5 Pro model to generate a deep analysis of global sectors. The findings suggest that data-rich industries with repetitive tasks are standing on a precipice, while those requiring human empathy or manual dexterity in unpredictable environments remain safe—for now.
(And Fortune Intelligence, the wing of the Fortune newsroom that uses generative AI as a research tool, conducted a meta-meta-experiment to expedite the publishing of this news article about it.)
Perhaps the most ironic conclusion for Silicon Valley is that the sector most exposed to disruption may be the one building the disrupters: information technology and software. The AI found the sector to be particularly susceptible because software development is built on logic and patterns—the very qualities AI systems are designed to automate.
The report notes that over 85% of developers are already using AI coding assistants, with productivity gains of up to 60%. That efficiency boost may help corporations, but it also raises concerns about the long-term sustainability of traditional software licensing models. The recent $2 trillion selloff in software stocks over two weeks, dubbed the “SaaSpocalypse,” underscores investor anxiety and the evaporation of entry-level coding roles.
Beyond tech, the AI set its sights on the financial sector. It identified wealth management as a primary target, predicting an even greater shift toward “robo-advisors.” The report projects that by 2027, AI-driven tools could be the primary source of advice for nearly 80% of retail investors, fundamentally challenging the role of human financial advisors.
Customer service faces an even faster transformation. The AI predicted that it would handle up to 75% of all customer service interactions by 2026, leaving human agents to handle only the most complex or sensitive cases. Media and entertainment were also flagged as “likely to be disrupted,” as generative AI moves from analyzing content to producing it, actively competing with human creatives. (Media theorist Doug Shapiro told Fortune in January that this was the sector’s version of the famous “infinite monkey theorem,” with every media company competing against a proverbial infinite number of monkeys.)
