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。

马斯克重塑美国政府的使命

特朗普将削减政府规模的任务交给了这位亿万富翁。在过去,类似的努力远远没有达到预期目标。

特朗普对电动汽车规则的改革对特斯拉来说将是“巨大利好”

取消对电池汽车的消费者补贴,将导致这家电动汽车制造商在美国的竞争对手亏损扩大。

德国领导人朔尔茨两年来首次与普京交谈

泽连斯基称通话打开了“潘多拉盒子”,让俄罗斯领导人如愿以偿地恢复了接触。

如何在特朗普时代进行交易和投资

从比特币到驾驭新总统的都铎宫廷,投资者应牢记以下几点。

苹果准备向智能家居发起新一轮人工智能攻势

一个管理人们生活的新中心将是一个很大的赌注,但目前尚不清楚它能给企业带来什么。

秘密对冲基金为激进卖空者提供资金

当华尔街自诩为金融侦探的人对目标公司发出指控时,这些沉默的合作伙伴就会从中获利。
设置字号×
最小
较小
默认
较大
最大
分享×