How to get big numbers when predicting AI’s effect on growth - FT中文网
登录×
电子邮件/用户名
密码
记住我
请输入邮箱和密码进行绑定操作:
请输入手机号码,通过短信验证(目前仅支持中国大陆地区的手机号):
请您阅读我们的用户注册协议隐私权保护政策,点击下方按钮即视为您接受。
FT商学院

How to get big numbers when predicting AI’s effect on growth

Consider its scale, scope and speed
00:00

{"text":[[{"start":null,"text":"

"}],[{"start":8.93,"text":"I’ll admit to tuning out much of the debate over whether artificial intelligence is going to destroy us all. "},{"start":14.408999999999999,"text":"If our digital overlords do eventually turn me into a paper clip, then at least I will have enjoyed my final precious moments as a human. "},{"start":21.464,"text":"I’ll have spent them considering a different part of the debate, over how much AI will affect growth. "},{"start":26.357,"text":"The stakes are slightly lower, but there is just as much disagreement. "},{"start":30.087,"text":"Why? "}],[{"start":31.88,"text":"The core discussion concerns AI’s scope, scale and speed. "},{"start":35.922,"text":"Will AI be a force that accelerates automation, or will it also speed up innovation? "},{"start":40.763999999999996,"text":"And will its effects be the avocado slicer of food prep, or the microwave? "},{"start":45.057,"text":"And then there is the risk that while technologists may like to move fast and break things, corporate executives prefer a more sedentary lifestyle. "}],[{"start":52.769999999999996,"text":"There have been several attempts to estimate the effects of generative AI on annual productivity growth, with pretty varied results. "},{"start":59.662,"text":"Last year, Goldman Sachs estimated that in rich countries it could contribute around 1.5 percentage points over a decade. "}],[{"start":67.41,"text":"Soon after that, McKinsey predicted that it could deliver between 0.1 and 0.6 percentage points between 2023 and 2040. "},{"start":75.814,"text":"And most recently Daron Acemoglu of MIT calculated a boost over the next decade of at most 0.2 percentage points. "}],[{"start":83.74,"text":"The gaps between these figures mostly relate to differences over speed and scale. "},{"start":88.294,"text":"Each tries to estimate how much existing work will be affected by generative AI, as well as the potential cost savings. "}],[{"start":95.82,"text":"Acemoglu, for example, suggests that over the next decade around 5 per cent of tasks will be profitably replaced or augmented by AI. "},{"start":103.949,"text":"I’ll argue that my editors should hang on to me otherwise the columns might become too funny.) Even then, the average cost savings across these tasks might only be around 15 per cent — or lower if AI struggles to replace harder ones where decisions require lots of context or lack objective measures of success. "},{"start":119.904,"text":"I hear column writing is very hard. "}],[{"start":123.03999999999999,"text":"McKinsey says it is clear-eyed about the pace of diffusion, drawing on historical evidence that technologies take up to 27 years to reach a plateau in adoption after becoming commercially available. "},{"start":133.41899999999998,"text":"But it seems to be more bullish than Acemoglu about the potential for tasks to be automated. "},{"start":138.099,"text":"In a separate report McKinsey estimates that in the US, generative AI could account for 8 per cent of work hours being automated by 2030. "}],[{"start":146.73999999999998,"text":"The analysts at Goldman Sachs also reckon that quite a large share of work will be affected by AI. "},{"start":152.29399999999998,"text":"But the bigger difference is over timing. "},{"start":154.49899999999997,"text":"They cite the electric motor and personal computing as breakthroughs leading to US labour productivity booms of around 1.5 percentage points per year over a decade. "},{"start":163.29199999999997,"text":"Awkwardly, these took 20 years to start. "},{"start":165.92199999999997,"text":"In other words, the boom they predict is over “a decade”, not the one starting now. "}],[{"start":171.08999999999997,"text":"In a more recent note the Goldman Sachs analysts cite surveys suggesting that fewer than one in 20 companies report the “use of generative AI in regular production”. "},{"start":179.74399999999997,"text":"And they confirm that most of the boost to global GDP will come after 2030. "}],[{"start":184.58999999999997,"text":"Questions over speed and scale are important. "},{"start":187.41899999999998,"text":"But perhaps the bigger question is over AI’s scope. "},{"start":190.42399999999998,"text":"Tyler Cowen of George Mason University recently criticised Acemoglu’s paper for assuming away the possibility that AI would do new tasks or produce new things — just look at the chatbots impersonating Shakespeare or Elon Musk. "},{"start":202.42899999999997,"text":"Acemoglu’s argument is that industry’s focus is elsewhere, for example on digital advertisements. "}],[{"start":208.28999999999996,"text":"There could be bigger benefits in store. "},{"start":210.80699999999996,"text":"Over decades the world has ploughed an increasing share of resources into innovation, with diminishing returns. "},{"start":216.66199999999998,"text":"A study published in 2020 found that research productivity for the US economy had fallen by a factor of 41 since the 1930s. "}],[{"start":225.23999999999995,"text":"Optimists suggest that AI could increase those returns and speed up the rate at which we discover new ideas. "},{"start":231.13199999999995,"text":"Just this week, Google DeepMind unveiled an AI model that could help researchers find new drugs. "},{"start":236.52399999999994,"text":"Ben Jones of Northwestern University suggests that the effects on productivity could be even greater than the most optimistic of those earlier automation-based estimates. "}],[{"start":245.73999999999995,"text":"“Some uncertainty is of course healthy,” says Acemoglu of the change brought on by AI, since “we are at the very very beginning of it”. "},{"start":253.31899999999996,"text":"Which means plenty of other important questions to ponder, including how the spoils of any growth are shared. "},{"start":258.81199999999995,"text":"As well as those, perhaps I’ll allow myself to wonder whether one day there will be an AI so powerful that it can turn paper clips back into humans. "}],[{"start":266.55999999999995,"text":""}]],"url":"https://creatives.ftacademy.cn/album/154099-1715411480.mp3"}

版权声明:本文版权归FT中文网所有,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。

气候变化很可能导致伦敦不再宜居

对于一些气候科学家来说,全球变暖给英国带来了更意想不到的威胁。

欧洲海湾的奇异世界

欧洲与阿拉伯半岛的交织日益紧密,且愈发不可思议。

妮古拉•斯特金:“苏格兰独立运动已经证明了自己的韧性”

苏格兰前首席大臣谈苏格兰民族党丑闻、与萨尔蒙德的不和,以及为什么要求重新举行全民公决的压力会再次出现。

阻止老年人“掠夺性婚姻”的竞赛

自疫情以来,相关案件有所增加,亲属抱怨他们被排除在亲人的遗嘱之外。

弗朗茨走出“卡夫卡式”世界的阴影

摩根图书馆的百年纪念展闪耀着耀眼的光芒,展示了这位作家作品中孤独的反英雄之外的更多内涵。

德国极右翼政党德国选择党的共同领导人呼吁大规模驱逐出境

爱丽丝•魏德尔在对党内忠实支持者的讲话中承诺“大规模遣返”。
设置字号×
最小
较小
默认
较大
最大
分享×