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)。如果该手机号尚未注册,将自动创建 FT中文网账号。短信可能需要几分钟送达,验证码15分钟内有效,请耐心等待:
请您阅读我们的用户注册协议和隐私权保护政策,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。

“希望这一切赶紧结束”:选举广告狂轰滥炸让美国选民厌倦

距离中期选举仅剩一周,两党候选人密集投放攻击性广告。而承受广告狂轰滥炸的是日益恼火的选民。

投资机构能大到不必在乎道德准则吗?

挪威政府正准备就其规模2.3万亿美元的主权财富基金在投资过程中应如何处理道德准则问题提交提案。

Lex专栏:Anthropic、Meta与K型公司

有影响力的股东与毫无影响力的股东之间的差距正在扩大。

iPhone Duo表现如何?

HTSI科技评测员称,这是“我见过的迄今为止最漂亮的折叠设备”。

FT社评:对冲AI热潮的局限

随着科技投资激增,投资者寻求保护的行动变得愈发迫切,也愈发困难。

印度IT服务行业从AI集成中看到机会

帮助企业采用AI技术的业务已占到该行业营收的逾10%。在市场担忧AI技术会冲击这个规模达3000亿美元的行业后,该行业正迎来转机。
设置字号×
最小
较小
默认
较大
最大
分享×