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  • Catastrophe / Eucatastrophe – Ethan Mollick: One Useful Thing

    There are hints buried in the early studies of AI about a way forward. Workers, while worried about AI, tend to like using it because it removes the most tedious and annoying parts of their job, leaving them with the most interesting tasks. So, even as AI removes some previously valuable tasks from a job, the work that is left can be more meaningful and more high value. But this is not inevitable, so managers and leaders must decide whether and how to commit themselves to reorganizing work around AI in ways that help, rather than hurt, their human workers. You need to ask: what is your vision about how AI makes work better, rather than worse?

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  • The jobs AI won’t take yet – BBC Worklife

    It’s important to note, says Ford, that an advanced education or a high-paying position is not a defence against AI takeover. “We might think the person in the white-collar job is higher on the food chain than someone who drives a car for a living,” he says. “But the white-collar employee’s future is more threatened than the Uber driver, because we still don’t have self-driving cars, but AI can certainly write reports. In many cases, more educated workers are going to be threatened more than the least educated workers. Think of the person that works cleaning hotel rooms – it’s really hard to automate that job.”

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  • Tinkering with ChatGPT, workers wonder: will this take my job? – The New York Times
    Artificial intelligence and machine learning have been operating in the background of many businesses for years, helping to evaluate large numbers of possible decisions and better align supply with demand, for example. And plenty of technological advancements over centuries have decreased the need for certain workers — although each time, the jobs created have more than offset the number lost. ChatGPT, however, is the first to confront such a broad range of white-collar workers so directly, and to be so accessible that people could use it in their own jobs.

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