FT商学院

Time to deploy AI robots to rethink annual reports

Large language models will be able to unspin financial numbers and open up a different way of understanding accounts

The writer is a managing director at Frontline Analysts and the author of ‘The Unaccountability Machine’

The 2024 company results season has been well under way this month, leading into its strange postscript — the time of year when annual reports drop into inboxes and on to doormats. The earnings numbers are long since in the public domain, the conference calls finished and the price action has moved on, but still they arrive. Why do we bother?

Partly because it’s still a statutory requirement. But we can’t blame the regulators entirely for the extent to which annual reports have grown over the years. There’s an old joke among equity analysts that if you want to keep something really secret, publish it in a company’s annual report, somewhere between the section on management pensions and the statement on net zero emission goals. As the real action has moved to the headline announcements and investor relations calls, the annual report has turned into a repository of all those disclosures that everybody feels like companies ought to make, but which nobody wants to read.

您已阅读23%(1083字),剩余77%(3713字)包含更多重要信息,订阅以继续探索完整内容,并享受更多专属服务。
版权声明:本文版权归manbetx20客户端下载 所有,未经允许任何单位或个人不得转载,复制或以任何其他方式使用本文全部或部分,侵权必究。
设置字号×
最小
较小
默认
较大
最大
分享×