Summarize this content to 2000 words in 6 paragraphs in Arabic Stay informed with free updatesSimply sign up to the Artificial intelligence myFT Digest — delivered directly to your inbox.Oh, Deutsche . . . By “you” they mean “us”.OpenAI’s launch on February 2 of a so-called “deep research” widget (currently available only to subscribers on the $200 per month plan) provides the report’s hook. In an attempt to mimick logical reasoning, “deep research” responds to prompts in iterative steps. It’s part of a coming generation of AI bots with long-term memory, internet access and the power to keep improving autonomously, says analyst Adrian Cox, who calls it a step towards artificial superintelligence. “To paraphrase an old expression: give a model a prompt and you feed it for a day; teach it to prompt and you enable it to come to life,” he tells clients. And in a world of self-improving, autodidactic logic engines, the role of the Deutsche Bank analyst human will be reduced to prompt engineering and proof-reading:Much of the rest of the cognitive process will be offloaded. This will favour those with the least experience, whose performance will be instantly lifted to a new minimum level, and those with the most, who will know where to focus, identify the value (and errors), and make the most of the output. Those in the middle will struggle to add value.For example:In our own tests [ . . . ] deep research took eight minutes to produce a 9,000-word report, citing 22 sources (with links), assessing the impact of new US steel and aluminium tariffs. It’s not perfect, but would improve with iteration and is a step-change above a standard ChatGPT response in analysis, relevance and clarity.Its choice of largely credible sources and focus on attribution seems to reduce hallucinations. Even so, it is not entirely able to shake off the inherent weaknesses of generative AI, such as a lack of context. In our tariff example, we needed a second attempt to get it to address the most recent round of tariffs (but it then did so successfully).These are obviously still early days for deep research tools. Both they and the underlying LLMs that power them will continue to improve.And only time will tell how far they will eventually move beyond rehashing other people’s ideas to generating entirely new concepts altogether.The mystery here is why anyone would be expected to read a research report that no one wanted to write. But maybe that’s never been a big concern among financial analysts.Further reading:— Deutsche Bank has published a bunch of memes about DeepSeek (FTAV)
