Chapter 1: What is the main topic discussed in this episode?
Good morning from the Financial Times. Today is Thursday, April 23rd, and this is your FT News Briefing. Tesla has good news for investors, and China's new trading rules have businesses walking on eggshells. Plus, the FT's John Byrne Murdoch explains how artificial intelligence is dividing the workplace.
Although it might be true that within particular workplaces, AI can kind of level the playing field, across the whole economy, it seems to have the opposite effect.
I'm Mark Filippino, and here's the news you need to start your day. Tesla looks like it's rebounding. Profits for the electric vehicle maker rose 17% in the first quarter of this year compared to the same period last year. It's an improvement from a couple of months ago, but it's still below what analysts expected.
Chapter 2: What recent developments have impacted Tesla's profits?
It's also the company's second weakest quarterly profit figure in five years. This time last year, Tesla sales really suffered. The company's CEO, Elon Musk, alienated many customers with his involvement in the early days of the second Trump administration. China is introducing new supply chain rules.
These are designed to protect the country against sanctions and from supply chain disruption caused by events like the war in Iran. But the rules announced this month are raising alarm among foreign companies operating in China.
Chapter 3: What role does AI play in the workplace divide?
The FT's Joe Lay has been looking at the rules and he joins me now. Hi, Joe. Hi, Mark. So why is China doing this? What's the motivating factor here?
There's a range of motivations here. For quite a few years, China has been doing informal sanctions against countries. But now, increasingly, it's been introducing legislation and regulations that are really formalizing these forms of economic sanctions. And in the past two weeks, it came out with some of the broadest and more sweeping rules that we've seen to date.
Now, is there anything in particular that may have prompted these new rules?
I think these new rules were probably coming for a long time and probably they had them up their sleeve. But recently there was a posting on social media, an official sort of Communist Party mouthpiece, which essentially linked these rules to the Iran war and also the Panama Ports dispute in which a Hong Kong company, CK Hutchison, has had its ports concessions in Panama recently.
annulled and China says this is the result of US pressure. So China has put these rules into that context
Joe, tell me a little bit more about what these rules do in practice.
So these most recent rules, as you mentioned, supply chain rule, and then there's extraterritorial rule, which is aimed at basically retaliating or responding to countries when they do something that China perceives as stopping its companies from doing business overseas.
In the case of the supply chain rules, they mentioned something like 15 ministries that can identify a supply chain blockage overseas or an action by a foreign company or country or even individual that is prejudicing China's supply chains. And they can investigate that and then take action. And some of the actions that they can take are quite concerning for foreign companies.
There's a thing in China called the exit ban, where if you're under investigation, they can prevent you from leaving. So let's say that you're a t-shirt company and you source some of your cotton out of China and you need to do supply chain compliance to prove that this cotton doesn't come from a place where there's forced labor.
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Chapter 4: How are China's new trade rules affecting foreign businesses?
So we worked with Focal Data on this. We went out and surveyed about 4,000 people across the UK and US, about 2,000 in each country. And we asked dozens of questions about how people are using AI at work, whether they're using it at all, what they're doing specifically with AI in their jobs, as well as various characteristics of their jobs, including...
what they do, what industry they're in, how much they're paid, that kind of thing.
And I had mentioned that top knowledge workers who use AI get paid more. Tell me a little bit more about that.
Yeah, so this is just a fairly straight finding that workers on the highest salaries in the economy are much heavier users of AI than workers lower down the salary distribution. So among the people who are in the top 10% by income, about two thirds of them are using AI in their jobs. Whereas for those in the bottom 10%, it's only about 15%.
So we see this consistent gradient where the highest earners, the most highly educated workers, people who've been in their jobs a bit longer are all using AI in their jobs more than those who are at the other end of things. Now, if we had to take a stab at why this might be the case, what are some working theories?
So one way of unpicking this is we looked at whether that gradient of sort of pay and economic status, as it were, and AI usage, whether that applied within particular sectors and jobs as well as across the whole economy. And within, say, the tech sector or the white collar sector in general, that was still true.
Like the most highly paid white collar workers are using AI more than the least highly paid white collar workers. But when we drilled right down to look at, say, accountants, management consultants, lawyers, there, there was actually less of a relationship. So what it looks like we're seeing is
is that it's people who are in higher paying, more high status jobs, use AI more than those who are in lower paying and low status jobs. So it's not that you've got two people sitting on desks next to each other and one of them's paid more than the other and uses AI more. It's that different occupations have different pay patterns and AI usage patterns.
Now, John, aside from the demographic usage, what else did the study look at?
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