Ever since ChatGPT, an artificially intelligent conversationalist, began dazzling the world, bosses have been salivating over the potential for generative AI to turbocharge productivity
, looked at the share of tasks within an occupation that could be speeded up by at least half using the new technology. Topping the list were occupations involving copious amounts of routine writing, number crunching or computer programming—think paralegals, financial analysts and web designers.may do a good job of producing first drafts but relies on humans to give instructions and appraise results. Microsoft, tellingly, has labelled its new suite of tools “co-pilots”.
For a start, many firms will need to rethink the role of junior staff as apprentices to be trained, rather than workhorses to be whipped. Getting the best out of generativesystems and scattered datasets. On the plus side, large language models like the ones powering Chat, says Roy Singh of Bain, a consultancy that has inked a partnership with OpenOther reservations could still slow adoption.
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