""My bet is often on life sciences, pharma companies," he said, about his first pick for industries on the brink of change because of AI. Godement said that the goal of pharmaceutical companies like Amgen, with which he works, is to design new drugs. This has two components: actual research and experimentation, and admin, a time-consuming process that could be automated, he said."
""The time it takes from once you lock the recipe of a drug to having that drug on the market is months, sometimes years," he said. "Turns out like the models are pretty good at that. They're pretty good at aggregating, consolidating tons of structured, unstructured data, spotting the different changes in documents." "The automation is probably not yet at the level of automating completely the job of a software engineer,but I think we have a line of sight essentially to get there," he said."
Three industries—life sciences/pharmaceuticals, customer service, and computer engineering—are poised for significant automation. Pharmaceutical companies combine experimental research with extensive administrative workflows that can be automated to reduce months or years from drug development timelines. Current models perform well at aggregating and consolidating structured and unstructured data and spotting changes in documents. Emerging AI capabilities show strong use cases in coding and customer support. Complete automation of software engineering roles has not yet been reached, but technological progress provides a visible path toward substantially automating many engineering tasks.
Read at Business Insider
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