Who Can Win the Global AI Race?

Bloomberg

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00:00Does this company look familiar?

00:02What about this one?

00:03Or this?

00:04They're all AI companies, just maybe not the big ones you know from Silicon Valley.

00:08The truth is, the entire world is rushing to win the AI race.

00:13But different regions are doing that in very different ways.

00:17Europe is leading the world in making sure the AI is safe for humanity.

00:22China shocked the world with DeepSeek.

00:24But does it have a plan to overcome the US,

00:27which is hoovering up massive amounts of capital, chips, and copyrighted content?

00:31It's impossible to understand where AI is headed without looking at it on a global scale.

00:37That's why we asked columnists in Tokyo, New York, and right here in London

00:41to dig into the state of AI in their part of the world.

00:45And here's what we found.

00:46The company I mentioned earlier, it's one of more than 5,000 AI companies in China,

00:51at least according to state media.

00:53The market exploded after DeepSeek.

00:55But if it's not careful, it could end up eating itself alive.

00:58Zhang Peng, who runs Zhipu AI, told me that open sourcing and making large language models

01:03affordable and accessible is especially important for taking on the AI giants.

01:08The unbelievable speed at which these so-called little dragons are doing that

01:12certainly gives China an advantage in the global race.

01:15But cutthroat competition is making it harder for even the smart startups to turn a profit.

01:19In Europe, we have a similar problem, where startups struggle to get the scale-up financing

01:25they need to become bigger companies.

01:28You probably wouldn't recognize most of these names.

01:30Tech giants like to blame regulators for holding the continent back.

01:34But Europe has been a great AI cop, which is crucial.

01:38But the real problem is cash.

01:41Investors here haven't embraced startups as much as they should.

01:45The continent, for example, has just 14% of the world's unicorns.

01:50A perfect example is DeepMind.

01:52It was scooped up by Google 10 years ago for $650 million.

01:57That was a huge missed opportunity to create a European tech champion.

02:01America's AI giants are leading the world.

02:05But my question is, at what cost?

02:08One huge issue here is around copyright infringement.

02:11And here in the US, we could use a little bit of Europe's focus on regulation.

02:16You might recognize the group of people in this photo.

02:18It is, of course, ABBA.

02:20And their legendary songwriter is actually an AI enthusiast,

02:24although not in the same way as the people who are building it.

02:26He told me recently that he thinks it's only fair

02:29that if tech CEOs are making money from something he helped create with his music,

02:33then he should be getting a slice of those earnings as well.

02:37And so should any other creator.

02:39You see, when they make large language models for AI,

02:42they use anything they can find on the internet.

02:44Books, music, art, articles.

02:47It's been called the largest intellectual property theft in history.

02:51The stakes are huge.

02:52Failure to solve this problem wouldn't just slow down America's AI growth,

02:56but it could also prove a fatal blow to some treasured industries

03:00like publishing and Hollywood and many, many more.

03:03China, the US, and Europe have very different approaches to AI.

03:08In the end, maybe a combination of all three would work best.

03:11The US commitment to investment,

03:13Europe's focus on safety,

03:15and China's startup energy.

03:17While it may not seem likely right now,

03:19it could help you understand the AI future that you want

03:23and the AI products that you want to support

03:26because those are exactly the kinds of decisions

03:28by users, not companies,

03:31that matter most right now.

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