The Federal Reserve raised interest rates by a quarter point to combat prolonged inflation, citing recent data showing no meaningful improvement in price stability. Chair Kevin Warton emphasized economic resilience and strong labor market conditions, reinforcing confidence in the Fed’s commitment to price stability and independence, even amid political pressure from President Trump. Meanwhile, the European Union is urging China to restrict hybrid car exports to the EU, aiming to reduce a daily trade deficit of one billion euros. In the realm of warfare, AI is being deployed in Ukraine and the Iran conflict, enabling drones to autonomously identify and attack targets based on pre-set criteria—though these systems often misclassify civilian structures, as seen in the deadly strike on a girls’ school in Minab. AI also enhances intelligence processing, allowing military forces to analyze thousands of targets daily, but experts warn that volume alone does not equate to strategic success or victory. These developments underscore the growing risks of automated warfare, including misidentification, loss of human judgment, and the potential for disproportionate civilian casualties, while highlighting the need for ethical and strategic oversight in AI-driven military applications.
Good morning from the Financial Times. Today is Thursday, September 17th, and this is your
FT news briefing. US interest rates are going up, and the EU wants to stop a flood of hybrid
cars made in China. Plus, we look at how artificial intelligence is changing warfare. I'm
Sonya Hudson in for Mark Filipino, and here's the news you need to start your day.
The Federal Reserve raised interest rates by a quarter point yesterday for the first time since 2023.
At a press conference after the unanimous decision, Fed Chair Kevin Worc said that inflation
has been above target for too long. Today's policy action will support a timely return to the
Committee's 2% goal. This committee will deliver price stability. Worc was up against more than
just sticky inflation heading into this meeting. He's also faced a major sell-off in the bond market,
and US President Donald Trump calling for lower interest rates. The FT news US
economics editor Claire Jones is here to talk about it. Hi, Claire. Hi, Sonya.
So why did Worc say the Federal Reserve opted to raise rates now? I mean, inflation has been
above the 2% target for years. Well, absolutely more than five years, in fact. So the rationale for
acting now, which Worc gave yesterday at the press conference, was that the recent news on inflation
has suggested that the Fed's not be making much progress in terms of lowering it towards its target.
The plain fact is that inflation is too high and has been for too long.
This summer's inflation readings do not tell me that underlying trends have meaningfully improved.
The other aspect of it was that Worc and the rest of the committee were very bullish on the US
economy. Given that resilience and the potential for even greater performance,
an attitude of optimism is exactly what I heard inside the FOMC these last two days.
And the other part of the Fed's dual mandate, which is not about inflation but about the labor
market, is an area in which he thinks quite a lot of progress has been made. We've seen a very
good jobs report for last month. So the labor side of the Fed's congressional remit is in good shape.
So our predominant focus is on the price stability side of our mandate.
And I think that's really convinced Warton others on the committee that they can afford to raise
rates without damaging growth and jobs. Clare, the other thing I'm wondering about is just how effective
raising interest rates will be on lowering inflation, given that one of the biggest factors in
this recent surge of price pressures has been the war in Iran and Warton doesn't have control over
that. I think that's true. The raising interest rates especially by a quarter point is not a cure
or all. But what I think this move does do is address some very real concerns heading into this
meeting that the Fed unwashed in particular wasn't credible when it came to a commitment to bring
inflation back under control. And it will help reassure investors in those bond markets that
you mentioned earlier that Fed independence remains and that would do some good I think.
Now President Donald Trump wanted a very different outcome from this meeting. He's called for
lower interest rates. And there's been some concern about him eroding the independence of the
Fed. What did Warton have to say about Trump? Well he got the question and he chuckled and then
said very little. What is your message here to President Trump who has repeatedly called to
cut interest rates? Not raise them. I've got nothing for you on a discussion with the president.
Warton was savvy enough yesterday to not get drawn into saying anything that might
exacerbate issues that the Fed has with the White House. The mood music around this in recent
days has been that you know while this isn't a decision that the White House would like it did
after all nominate Warton with a view to seeing him cut US borrowing costs not raise them.
He's unlikely to face the sort of insults that his predecessor Jerome Powell got from the US
president. I wouldn't expect Warton to be labeled a numbschool or a moron any time soon.
Claire Jones is the FT's US economics editor. Thanks Claire. Thanks Sonia.
The EU is asking China to export fewer hybrid cars. Chinese made vehicles are flooding the European
market and that's hurting car makers on the continent. Brussels now wants Beijing to restrict its
hybrid vehicle sales from 50% of the EU market to just 15. And if China doesn't it'll face higher
tariffs. That's according to three people familiar with the situation. It's part of the block's
effort to lower its soaring trade deficit with the country. Our trade deficit with China is now
one billion euros a day. That's European Commission President Ursula Von der Leyen in her annual
state of the Union speech yesterday. It has reached a tipping point. Some say the second China
shock is looming, but it's already here. The EU and China will meet in Beijing for trade talks
next month. China's Ministry of Foreign Affairs did not immediately respond to a request for comment
and the European Commission declined to comment. AI is changing the way people fight wars
and Ukraine has become a testing ground. The developments there are informing other conflicts
like the US War with Iran. But what are the risks as warfare becomes more automated?
Allison Killing is the FT's Senior Visual Investigations reporter. She's been looking into this.
Hi, Allison. Hi. So let's start with drones. Ukraine is known for its drone technology and AI
is a part of that. How does that work? So there's a few ways in which this is built into drones.
It's used for flight stabilization to try and help when it's very windy, for example, or to help
drones fly at high speed around obstacles. But as time goes on, we're also starting to see more
advanced functions being built into the drones. So there was one particular kind of drone that we
looked at, which is the Sega Scout. It's quite small. It has the computing power of like a PlayStation 4,
but it can recognize different categories of military equipment. So before it launches,
the human operator will say like, okay, like we really want you to hit tanks or we really want
you to hit missile launchers. And once it's inside the area that the operator has assigned,
it will strike any of those objects without waiting for the operator to intervene and confirm.
The problem is though that it's not able to discern whether the tank on the front line is a
Russian tank or a Ukrainian one or whether a soldier is Ukrainian or Russian. And so the human
operator has just had to define a kill box in which everything is considered to be a target.
Wow. Okay. So there's still a lot that could go wrong here. But beyond drones, what else are we
talking about when we refer to AI use in weapons? I think AI use in warfare is maybe a better way
to think about it. One of the key ways that it's being used is to process huge amounts of intelligence
and to sort of amass that and analyze it. So that could be everything from satellite imagery,
it could be videos from drone feeds, it could be human intelligence, topography. The amount of,
I mean, initially you have all the position of your assets and the enemy assets. And what that
means is that it can generate targets much more quickly. How quickly are we talking? I mean,
Katrina Munson, who recently wrote a book on project, Maven, in that she was told by one US
intelligence official that it had helped US forces to increase the number of targets that they
were looking at from 100 a day to 1000. And now that large language models have been integrated,
that number has gone up to 5000. And that really helps give context to another number that you
mentioned in your reporting, which is that the US and Israel hit 13,000 targets in the first 38 days
of the Iran War. Alison, what do you think this change in scale could mean for warfare going
forward? I think we're already starting to see some of the limits of what AI can offer. There's
limits to computer vision and its ability to recognize different sorts of vehicles and whether
they're military vehicles, even if the light changes that can change a model's determination of whether
this should be a target or not. So there's quite a lot of scope forever in there. There's also problems
of potential flaw. Days are coming in there. That's something that we saw in Iran when the school was
hit. Yeah, this is the girls school in Minab, which had been labeled as a military target.
And the strike ended up killing
150 people most of whom were children. Yes, what we've also seen what military experts have
talked to me about is it's kind of helped to emphasise this idea of strategy where if you can hit
lots of the key nodes in your opponent's military system that your enemy system will just collapse
and the US has hit these 13,000 targets in the early days of the conflict in Iran,
but the Iranian military did not collapse and it sort of shows that just because you're hitting a
lot of things, that isn't the same as winning the war. It's not the same as a strategy that's
connected to political outcomes. Alison Killing is the FT's senior visual investigations reporter.
Thanks, Alison. Thank you so much.
You can read more on all these stories for free when you click the links in our show notes.
This has been your daily FT News briefing. Check back tomorrow for the latest business news.
Podcast Summary
Key Points:
The Federal Reserve raised interest rates by a quarter point, citing persistent inflation above its 2% target and strong labor market conditions as justification.
Fed Chair Kevin Warton emphasized price stability and economic resilience, signaling confidence in the central bank’s ability to raise rates without harming growth.
President Donald Trump called for lower interest rates, raising concerns about political interference, but Warton avoided direct engagement to protect Fed independence.
The EU is pressuring China to limit hybrid car exports to the EU market from 50% to 15% to address a growing trade deficit of one billion euros per day.
Ukraine’s use of AI-powered drones, such as the Sega Scout, enables autonomous targeting, though these systems struggle to distinguish between military and civilian assets.
AI is increasingly used in warfare to process vast amounts of intelligence, increasing target detection from 100 to 5,000 per day, as seen in the early stages of the Iran conflict.
Despite the scale of strikes—such as the US and Israel hitting 13,000 targets in 38 days—there is no clear military or strategic victory, highlighting AI’s limitations in winning wars.
The Iran strikes, including a deadly attack on a girls' school, reveal critical risks of AI misidentification and the absence of contextual understanding in automated warfare.
Summary:
The Federal Reserve raised interest rates by a quarter point to combat prolonged inflation, citing recent data showing no meaningful improvement in price stability. Chair Kevin Warton emphasized economic resilience and strong labor market conditions, reinforcing confidence in the Fed’s commitment to price stability and independence, even amid political pressure from President Trump. Meanwhile, the European Union is urging China to restrict hybrid car exports to the EU, aiming to reduce a daily trade deficit of one billion euros.
In the realm of warfare, AI is being deployed in Ukraine and the Iran conflict, enabling drones to autonomously identify and attack targets based on pre-set criteria—though these systems often misclassify civilian structures, as seen in the deadly strike on a girls’ school in Minab. AI also enhances intelligence processing, allowing military forces to analyze thousands of targets daily, but experts warn that volume alone does not equate to strategic success or victory. These developments underscore the growing risks of automated warfare, including misidentification, loss of human judgment, and the potential for disproportionate civilian casualties, while highlighting the need for ethical and strategic oversight in AI-driven military applications.
FAQs
The Fed raised rates to combat persistent inflation that has remained above its 2% target for over five years. Officials believe inflation has not meaningfully improved and that stronger economic resilience supports a rate hike without harming growth.
Higher interest rates make borrowing more expensive, which can reduce consumer spending and slow down demand-driven price increases. This helps stabilize prices over time, though it doesn't address all inflation drivers like geopolitical events.
The EU is urging China to limit hybrid car sales to only 15% of its market, down from 50%, to reduce its massive trade deficit with China. Failure to comply could result in higher tariffs on Chinese vehicles.
AI-powered drones may misidentify targets—such as confusing a Ukrainian military vehicle with a Russian one or mistaking a civilian school as a military site—leading to unintended civilian casualties and ethical concerns.
AI processes large volumes of intelligence—including satellite imagery and drone footage—to rapidly identify and prioritize targets. This has increased target analysis from 100 to over 5,000 per day in some cases.
Yes, the US and Israel targeted over 13,000 locations in the first 38 days of the Iran conflict, using AI to analyze data and identify military assets at scale.
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