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Ever wonder how like, what happens in DC, you know,

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like in Washington, could like actually affect

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how much you pay for your next phone?

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Yeah.

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It's kind of crazy to think about, right?

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Yeah, definitely.

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Well, we're gonna like dive deep today.

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Okay.

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We're exploring this book called AI and Global Power.

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Oh, cool.

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It's got this really long subtitle,

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understanding the US-China dynamics.

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Mm-hmm.

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But basically it breaks down how like this whole

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global tech competition is playing out like right

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in your everyday life.

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Yeah.

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I mean, you're smart.

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You want to stay ahead of the curve, right?

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Definitely.

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So this book, I think, has the intel that you need.

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Yeah.

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We're talking real world stories.

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Cool.

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Data-driven insights.

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Awesome.

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Like just think of it as a crash course

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in how the digital world is being shaped

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by all these forces that we don't even think about.

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Right.

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Yeah, and this book is really interesting

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because it kind of pulls back the curtain

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and shows you how these international policies

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actually connect to your wallet.

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We're gonna see how US policies specifically

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toward Chinese AI are impacting the tech that you can get.

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Yeah.

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And probably in ways you don't even realize.

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And that's the thing, like you might follow

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the latest gadgets and apps and stuff.

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Right.

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But who has time to really like unpack all the politics

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that's going on behind the scenes?

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Yeah, it's a lot.

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It's a lot.

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Let's break it down.

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First things first.

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Okay.

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What does this global AI landscape even look like?

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So picture a chessboard, but instead of like kings

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and queens, we've got Silicon Valley and we've got Beijing.

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The US has that history of innovation,

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venture capital, startup culture,

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but China, they've got a different kind of fuel.

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Massive government investment in AI.

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Wow.

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And this gigantic population that's just generating data,

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like we've never seen before.

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Yeah, that's true.

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Yeah.

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So each player is bringing some serious strengths

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to the table, but what's the US government like?

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What are their goals in this game?

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So the US government wants to win.

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Right.

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They're aiming to maintain their global tech dominance,

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but also ensuring national security at the same time.

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It's a tough balance.

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It is.

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It's a very delicate balancing act,

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especially as AI gets more and more tied in

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with military strategy and economic competitiveness.

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So let's talk about the national security piece first.

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Yeah.

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How does AI even fit into that?

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Yeah.

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Well, the US government, they're very concerned

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about protecting critical AI technology.

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Yeah.

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Making sure it doesn't fall into the hands

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of potential adversaries.

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That makes sense.

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Right.

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They see AI as a game changer in warfare.

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Strategic decision making.

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So that's why you see these policies like export controls,

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which restrict the sale of certain sensitive technologies.

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To certain countries.

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Yeah, to specific countries, including China.

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OK.

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There's also limitations on investment

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from Chinese firms and American AI companies.

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Interesting.

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Yeah.

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And even research collaborations are limited.

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Wow.

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It's all about safeguarding what they see

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as their technological edge.

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OK.

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Yeah.

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I mean, you wouldn't want technology

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that could be used against you to fall into the wrong hands.

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Exactly.

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What about the economic side of things?

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How do those concerns kind of play into policy?

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Well, the US is very protective of its economic interests,

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especially when it comes to tech.

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Yeah.

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They see China's state backed support

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of its own tech companies as like an unfair advantage.

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So they're trying to level the playing field.

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Exactly.

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And this is where tariffs come in.

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OK.

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You know those taxes on imported goods

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designed to make Chinese products more expensive.

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Right.

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And in theory, boost American companies.

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OK.

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And then there are also attempts to control

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the transfer of technology.

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Yeah.

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Making it harder for Chinese companies

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to get American AI technology.

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Got it.

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So is this constant like push and pull

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between keeping the US secure and maintaining

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its economic power?

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It is.

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In this really important tech arena?

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Yeah.

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So the book actually uses this story of Sarah

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to illustrate how these policies have real world consequences

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for regular people.

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Yeah.

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Right?

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Right.

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Like you and me.

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Yeah.

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She was like ready to go electric for their next car.

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Oh, cool.

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Yeah.

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What happened?

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So she really wanted to Tesla Model 3.

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Those are nice.

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Right.

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But the price tag in Seattle was like $47,000.

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Whoa.

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And she found out that a comparable electric vehicle made

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by NIO, a Chinese company, was selling in Shanghai

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for only $31,000.

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Wow.

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Huge difference.

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But the big difference.

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$16,000.

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Yeah.

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That's not just like a currency exchange thing, right?

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No, definitely not.

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The book suggests that a big part of that price gap

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is because of US policies.

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Trying to protect Tesla.

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Yeah, to protect companies like Tesla

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from that competition.

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Wow.

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So Sarah couldn't really justify spending

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that extra money on the Tesla.

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Yeah.

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She had to kind of put her electric car dreams on hold.

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That's too bad.

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Which is sad.

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This story really highlights how those tariffs and trade

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restrictions can really hit consumers,

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where it hurts in our wallets.

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Right.

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We're essentially all paying a premium

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for certain technologies.

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Yeah.

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Because of these restrictions.

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It's true.

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And that principle applies broadly.

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When you have limited competition,

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it usually means higher prices for consumers.

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Makes sense.

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It's basic economics.

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Yeah.

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It's definitely something to keep in mind the next time you're

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shopping for tech.

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Yeah, I can point.

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Like smartphones to laptops to even software.

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And the book argues that it's not just about higher prices,

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right?

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Right.

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It's also about the choices that we have as consumers.

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Yes, definitely.

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Let's talk about Mike.

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OK.

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He's a graphic designer.

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Uh-huh.

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And his experience with Deepseek.

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OK.

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So Mike was really excited about Deepseek.

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Yeah.

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This cutting edge AI design tool,

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promising to totally change his workflow.

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Cool.

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But the problem was, because of US restrictions,

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it wasn't available in Chicago.

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Oh.

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Yeah.

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But just across the border in Toronto.

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Oh, wow.

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His Canadian counterparts could use it totally freely.

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That's a huge disadvantage.

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I know big disadvantage for Mike.

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Yeah.

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This is such a good example of how policies that

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are meant to protect American companies

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can actually backfire and really hinder American innovators.

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Yeah.

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It's like shooting yourself in the foot a little bit.

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Yeah.

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Putting them at a disadvantage.

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For sure.

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So the book is saying that limited competition

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leads to fewer choices for us.

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It does.

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And that applies not just to specific products like Deepseek,

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but the overall pace of innovation.

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Right.

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Absolutely.

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Think about it.

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When companies don't have to fight as hard to stand out,

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they don't have as much reason to push the boundaries.

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Right.

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To come up with those exciting new features we all love.

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Yeah.

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True.

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It's just like anything else, competition breeds innovation.

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Yeah.

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So indirectly, these policies can actually

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slow down progress in certain areas of tech.

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This whole conversation is making me think about the debate

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around TikTok.

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Oh, yeah.

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You know?

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If that app were to be banned, it would limit choices for people.

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But the government is arguing that it's

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about national security.

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Right.

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It seems like the stakes are just so high.

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They are incredibly high.

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And the US government is very serious about staying ahead.

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Yeah.

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You know, at the top of the leaderboard.

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Yeah.

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They believe that controlling their own technological destiny,

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which is a concept called technological sovereignty.

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That's a new one for me.

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Can you expand on that a little bit?

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Sure.

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So technological sovereignty is all

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about a nation's ability to control its own tech development.

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OK.

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And its destiny, you know, free from outside influence.

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The US wants to set the standards,

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shape the rules of the game, and maintain its leadership

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in this global AI landscape.

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That makes sense.

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And as we've seen, they're willing

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to put some pretty aggressive policies in place to do that.

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Though it's not just about keeping valuable tech out

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of the wrong hands.

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Right.

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It's about shaping the whole, you know,

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landscape of AI development.

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Exactly.

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This is getting really fascinating.

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Yeah.

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Yeah.

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And in part two, we're going to get

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into even more specific examples of how these policies are

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affecting the products you use every day.

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Oh, cool.

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As well as, like, potential downsides

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and unintended consequences.

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I'm interested to hear about that.

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Stay tuned.

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Stay tuned.

289
00:08:27,000 --> 00:08:28,880
We'll be right back.

290
00:08:28,880 --> 00:08:31,920
So we've been talking about how the US wants to keep its edge

291
00:08:31,920 --> 00:08:34,480
in this AI race.

292
00:08:34,480 --> 00:08:36,440
And you mentioned that the government

293
00:08:36,440 --> 00:08:40,240
invests, like, a ton of money into research and development

294
00:08:40,240 --> 00:08:41,280
to stay ahead.

295
00:08:41,280 --> 00:08:41,680
Yeah.

296
00:08:41,680 --> 00:08:44,160
What does that actually look like in practice?

297
00:08:44,160 --> 00:08:47,200
So the US government spends billions and billions

298
00:08:47,200 --> 00:08:48,880
of dollars on AI research.

299
00:08:48,880 --> 00:08:49,400
Wow.

300
00:08:49,400 --> 00:08:53,040
Funding universities, labs, even some startups.

301
00:08:53,040 --> 00:08:53,480
OK.

302
00:08:53,480 --> 00:08:55,720
Trying to basically fuel innovation

303
00:08:55,720 --> 00:08:57,840
and make sure breakthroughs are happening, you know,

304
00:08:57,840 --> 00:08:58,520
in America.

305
00:08:58,520 --> 00:08:58,960
Yeah.

306
00:08:58,960 --> 00:09:01,120
But at the same time, they're being super careful

307
00:09:01,120 --> 00:09:03,440
about who they share that knowledge with.

308
00:09:03,440 --> 00:09:04,240
That makes sense.

309
00:09:04,240 --> 00:09:05,800
So there are a lot of restrictions

310
00:09:05,800 --> 00:09:08,200
on collaborating with Chinese researchers

311
00:09:08,200 --> 00:09:09,280
or institutions.

312
00:09:09,280 --> 00:09:11,240
So it's kind of like they're trying to have their cake

313
00:09:11,240 --> 00:09:11,960
and eat it too.

314
00:09:11,960 --> 00:09:12,920
Yeah.

315
00:09:12,920 --> 00:09:14,800
Fueling American innovation, but also

316
00:09:14,800 --> 00:09:17,560
trying to limit the flow of knowledge

317
00:09:17,560 --> 00:09:19,120
to, like, potential competitors.

318
00:09:19,120 --> 00:09:20,040
Right.

319
00:09:20,040 --> 00:09:22,920
Doesn't that create a little bit of a paradox, though?

320
00:09:22,920 --> 00:09:26,640
If innovation really thrives on collaboration,

321
00:09:26,640 --> 00:09:29,960
the open exchange of ideas, could these restrictions

322
00:09:29,960 --> 00:09:31,240
actually backfire?

323
00:09:31,240 --> 00:09:32,280
That's a really good point.

324
00:09:32,280 --> 00:09:35,600
And the book actually raises that exact question.

325
00:09:35,600 --> 00:09:37,880
Some experts are saying that by trying

326
00:09:37,880 --> 00:09:41,960
to wall off American AI research,

327
00:09:41,960 --> 00:09:44,560
it could actually stifle innovation in the long run.

328
00:09:44,560 --> 00:09:45,080
Interesting.

329
00:09:45,080 --> 00:09:47,160
They're saying that cutting-edge research often

330
00:09:47,160 --> 00:09:49,640
comes from these unexpected collaborations.

331
00:09:49,640 --> 00:09:50,200
That's true.

332
00:09:50,200 --> 00:09:52,160
And that restricting those interactions

333
00:09:52,160 --> 00:09:54,240
could limit the potential for breakthroughs.

334
00:09:54,240 --> 00:09:55,760
It makes you wonder, right?

335
00:09:55,760 --> 00:09:56,600
It does.

336
00:09:56,600 --> 00:09:58,480
So the US government is walking a tightrope here.

337
00:09:58,480 --> 00:09:59,200
Yeah.

338
00:09:59,200 --> 00:10:00,600
Definitely a tightrope.

339
00:10:00,600 --> 00:10:02,680
Trying to protect its own interests,

340
00:10:02,680 --> 00:10:06,080
while also recognizing that AI research is global.

341
00:10:06,080 --> 00:10:07,280
Yeah, you can't really isolate it.

342
00:10:07,280 --> 00:10:08,320
Exactly.

343
00:10:08,320 --> 00:10:10,400
You can't completely isolate yourself.

344
00:10:10,400 --> 00:10:13,040
And this is where that concept of technological sovereignty

345
00:10:13,040 --> 00:10:13,920
comes back.

346
00:10:13,920 --> 00:10:17,120
The US wants to be in control, setting the standards,

347
00:10:17,120 --> 00:10:18,240
writing the rules.

348
00:10:18,240 --> 00:10:19,680
Shaping the future of AI.

349
00:10:19,680 --> 00:10:20,200
Exactly.

350
00:10:20,200 --> 00:10:21,560
Shaping the future.

351
00:10:21,560 --> 00:10:24,000
They believe that maintaining control

352
00:10:24,000 --> 00:10:28,240
is absolutely critical, not just for economic competitiveness,

353
00:10:28,240 --> 00:10:30,400
but also for national security.

354
00:10:30,400 --> 00:10:32,520
So you mentioned that there could be some downsides

355
00:10:32,520 --> 00:10:34,160
to all of this.

356
00:10:34,160 --> 00:10:36,720
What are some of the unintended consequences

357
00:10:36,720 --> 00:10:38,000
that the book talks about?

358
00:10:38,000 --> 00:10:42,520
Well, one of the big concerns is that by restricting

359
00:10:42,520 --> 00:10:45,280
collaboration and competition with China,

360
00:10:45,280 --> 00:10:48,280
the US might actually slow down the advancement of AI

361
00:10:48,280 --> 00:10:49,000
overall.

362
00:10:49,000 --> 00:10:49,720
Interesting.

363
00:10:49,720 --> 00:10:52,520
Which could end up hurting everyone.

364
00:10:52,520 --> 00:10:53,360
Even themselves.

365
00:10:53,360 --> 00:10:54,320
Even themselves.

366
00:10:54,320 --> 00:10:55,360
It's kind of ironic, right?

367
00:10:55,360 --> 00:10:57,560
It's like they're so focused on winning the race.

368
00:10:57,560 --> 00:10:57,960
Right.

369
00:10:57,960 --> 00:11:00,000
That they might slow down the whole field.

370
00:11:00,000 --> 00:11:01,760
And almost like a self-fulfilling prophecy.

371
00:11:01,760 --> 00:11:02,760
It is.

372
00:11:02,760 --> 00:11:04,600
You know, they're trying to maintain their lead,

373
00:11:04,600 --> 00:11:07,520
but they might end up creating the perfect conditions

374
00:11:07,520 --> 00:11:08,960
for their rivals to catch up.

375
00:11:08,960 --> 00:11:11,240
So what can we as consumers do?

376
00:11:11,240 --> 00:11:13,960
Well, the book really emphasizes that consumers

377
00:11:13,960 --> 00:11:16,120
need to be aware of what's going on.

378
00:11:16,120 --> 00:11:17,840
Because at the end of the day, it's

379
00:11:17,840 --> 00:11:22,200
the everyday users who are most impacted by these policies.

380
00:11:22,200 --> 00:11:27,360
We see it in the products we can buy, the prices we pay,

381
00:11:27,360 --> 00:11:29,880
the features we have access to.

382
00:11:29,880 --> 00:11:32,440
OK, so let's talk about those specific impacts.

383
00:11:32,440 --> 00:11:36,360
You mentioned that tariffs on Chinese goods

384
00:11:36,360 --> 00:11:40,920
can really drive up the costs of tech products for consumers.

385
00:11:40,920 --> 00:11:41,480
Absolutely.

386
00:11:41,480 --> 00:11:43,800
Can you give us a real world example of that?

387
00:11:43,800 --> 00:11:46,000
Sir, think about your smartphone.

388
00:11:46,000 --> 00:11:49,200
A lot of the components inside, like the processors,

389
00:11:49,200 --> 00:11:51,800
the memory chips, even the screens,

390
00:11:51,800 --> 00:11:53,720
those are often made in China.

391
00:11:53,720 --> 00:11:57,960
And when the US puts tariffs on those components,

392
00:11:57,960 --> 00:12:00,280
those costs get passed down the supply chain

393
00:12:00,280 --> 00:12:03,920
and end up in the price you pay for your phone.

394
00:12:03,920 --> 00:12:07,680
So that $1,000 plus price tag for a new phone

395
00:12:07,680 --> 00:12:10,560
could be partly because of these tree tensions.

396
00:12:10,560 --> 00:12:11,840
It's definitely a factor.

397
00:12:11,840 --> 00:12:13,360
And it's not just smartphones either.

398
00:12:13,360 --> 00:12:14,800
What else?

399
00:12:14,800 --> 00:12:20,640
Laptops, tablets, smart home devices, practically any gadget

400
00:12:20,640 --> 00:12:22,720
that have those complex components

401
00:12:22,720 --> 00:12:24,640
that relies on those complex components that

402
00:12:24,640 --> 00:12:25,800
are made overseas.

403
00:12:25,800 --> 00:12:27,560
So it's like a hidden tax on innovation.

404
00:12:27,560 --> 00:12:29,000
Kind of, yeah.

405
00:12:29,000 --> 00:12:30,640
It impacts our wallets.

406
00:12:30,640 --> 00:12:34,080
And it can slow down how quickly people

407
00:12:34,080 --> 00:12:35,720
adopt these new technologies.

408
00:12:35,720 --> 00:12:37,960
And it's not just about the price either, right?

409
00:12:37,960 --> 00:12:40,880
It's also about availability, like we talked about with Mike.

410
00:12:40,880 --> 00:12:44,400
Yeah, Mike and his design tool that he couldn't get in the US.

411
00:12:44,400 --> 00:12:48,080
That's a direct result of those export controls.

412
00:12:48,080 --> 00:12:48,560
Wow.

413
00:12:48,560 --> 00:12:51,560
So these policies are meant to protect national security

414
00:12:51,560 --> 00:12:53,320
and economic interests.

415
00:12:53,320 --> 00:12:57,480
But they can also create some barriers for consumers

416
00:12:57,480 --> 00:12:58,400
and innovators.

417
00:12:58,400 --> 00:13:00,360
It's a complex situation.

418
00:13:00,360 --> 00:13:01,560
Yeah, it's complicated.

419
00:13:01,560 --> 00:13:02,120
It is.

420
00:13:02,120 --> 00:13:05,280
And it's important for people to be aware of these connections.

421
00:13:05,280 --> 00:13:09,080
You're not just passively receiving technology.

422
00:13:09,080 --> 00:13:11,680
You're a part of this whole ecosystem.

423
00:13:11,680 --> 00:13:15,920
And your choices, your voice actually matters.

424
00:13:15,920 --> 00:13:19,360
This has been a fascinating look at how these policies really

425
00:13:19,360 --> 00:13:20,360
impact our lives.

426
00:13:20,360 --> 00:13:21,080
They do.

427
00:13:21,080 --> 00:13:22,720
But where do we go from here?

428
00:13:22,720 --> 00:13:23,800
That's a great question.

429
00:13:23,800 --> 00:13:25,320
And that's exactly what we're going

430
00:13:25,320 --> 00:13:27,760
to talk about in the final part of our deep dive.

431
00:13:27,760 --> 00:13:28,400
OK.

432
00:13:28,400 --> 00:13:33,040
We'll explore what consumers can do to navigate this landscape

433
00:13:33,040 --> 00:13:35,960
and maybe even influence it for the better.

434
00:13:35,960 --> 00:13:37,440
I'm excited to hear about that.

435
00:13:37,440 --> 00:13:38,400
Stay tuned, everyone.

436
00:13:38,400 --> 00:13:39,440
Yes, stay tuned.

437
00:13:39,440 --> 00:13:43,240
OK, so we've been really unpacking this whole AI

438
00:13:43,240 --> 00:13:44,880
and global power thing.

439
00:13:44,880 --> 00:13:45,440
Yeah.

440
00:13:45,440 --> 00:13:47,800
And it's clear that these policies

441
00:13:47,800 --> 00:13:51,560
like have this ripple effect on our tech experiences.

442
00:13:51,560 --> 00:13:52,520
They really do.

443
00:13:52,520 --> 00:13:54,720
But it's kind of like, what can we even do about it?

444
00:13:54,720 --> 00:13:55,360
It's true.

445
00:13:55,360 --> 00:13:57,080
It can feel a little overwhelming.

446
00:13:57,080 --> 00:13:57,680
Yeah.

447
00:13:57,680 --> 00:14:00,280
But as consumers, we're not totally powerless.

448
00:14:00,280 --> 00:14:00,760
OK.

449
00:14:00,760 --> 00:14:03,040
The first step is just being aware.

450
00:14:03,040 --> 00:14:06,520
The more we understand how all of this works,

451
00:14:06,520 --> 00:14:08,800
the better equipped we are to navigate it.

452
00:14:08,800 --> 00:14:09,200
Right.

453
00:14:09,200 --> 00:14:10,880
And advocate for change.

454
00:14:10,880 --> 00:14:13,080
OK, so knowledge is power.

455
00:14:13,080 --> 00:14:13,960
Exactly.

456
00:14:13,960 --> 00:14:17,400
But how do we actually translate that knowledge into action?

457
00:14:17,400 --> 00:14:21,480
So start by just being an informed consumer.

458
00:14:21,480 --> 00:14:25,480
When you see a new gadget with a crazy price tag

459
00:14:25,480 --> 00:14:27,560
or you hear about a promising technology

460
00:14:27,560 --> 00:14:30,800
that's not available here, ask yourself,

461
00:14:30,800 --> 00:14:33,200
could this be because of those US policies?

462
00:14:33,200 --> 00:14:33,960
Oh, interesting.

463
00:14:33,960 --> 00:14:37,080
You know, don't just accept the tech landscape as it is.

464
00:14:37,080 --> 00:14:37,360
Yeah.

465
00:14:37,360 --> 00:14:38,760
Question those assumptions.

466
00:14:38,760 --> 00:14:40,120
Be a little bit of a tech detective.

467
00:14:40,120 --> 00:14:40,760
Exactly.

468
00:14:40,760 --> 00:14:43,720
Connect the dots between those policy decisions

469
00:14:43,720 --> 00:14:45,280
and your own experiences.

470
00:14:45,280 --> 00:14:48,440
OK, so once we've done our research, what's next?

471
00:14:48,440 --> 00:14:49,800
Make your voice heard.

472
00:14:49,800 --> 00:14:50,800
OK, how do we do that?

473
00:14:50,800 --> 00:14:53,240
Support organizations that align with your views

474
00:14:53,240 --> 00:14:55,520
on AI and global tech.

475
00:14:55,520 --> 00:14:56,040
OK.

476
00:14:56,040 --> 00:14:57,840
Contact your elected officials.

477
00:14:57,840 --> 00:14:59,640
Express your concerns.

478
00:14:59,640 --> 00:15:01,360
Get involved in online discussions.

479
00:15:01,360 --> 00:15:02,920
Write blog posts.

480
00:15:02,920 --> 00:15:05,200
Share your insights on social media.

481
00:15:05,200 --> 00:15:07,800
So basically amplifying the consumer perspective

482
00:15:07,800 --> 00:15:09,400
in this whole policy conversation.

483
00:15:09,400 --> 00:15:09,880
Exactly.

484
00:15:09,880 --> 00:15:12,400
You're not just a passive recipient of technology.

485
00:15:12,400 --> 00:15:14,040
You're a stakeholder.

486
00:15:14,040 --> 00:15:16,520
And your voice matters.

487
00:15:16,520 --> 00:15:19,160
What are some other ways that listeners can like, you know,

488
00:15:19,160 --> 00:15:20,800
kind of flex those consumer muscles?

489
00:15:20,800 --> 00:15:22,480
Well, think about where you're spending your money.

490
00:15:22,480 --> 00:15:22,840
OK.

491
00:15:22,840 --> 00:15:26,400
Support businesses that prioritize ethical AI

492
00:15:26,400 --> 00:15:30,000
practices, data privacy.

493
00:15:30,000 --> 00:15:32,440
You could even choose to boycott companies.

494
00:15:32,440 --> 00:15:32,880
Oh, wow.

495
00:15:32,880 --> 00:15:35,560
Whose values don't align with your own.

496
00:15:35,560 --> 00:15:35,960
OK.

497
00:15:35,960 --> 00:15:37,760
And of course, vote for politicians

498
00:15:37,760 --> 00:15:41,720
who support policies that promote innovation, accessibility,

499
00:15:41,720 --> 00:15:44,080
and responsible development of AI.

500
00:15:44,080 --> 00:15:48,400
So every choice we make, every purchase sends a signal.

501
00:15:48,400 --> 00:15:49,000
It does.

502
00:15:49,000 --> 00:15:52,040
Every click, every purchase, every vote.

503
00:15:52,040 --> 00:15:56,640
It all sends a signal to the market and to policymakers.

504
00:15:56,640 --> 00:16:00,000
It's about recognizing that we have agency.

505
00:16:00,000 --> 00:16:00,840
We do.

506
00:16:00,840 --> 00:16:02,400
In shaping the future of tech.

507
00:16:02,400 --> 00:16:03,280
Absolutely.

508
00:16:03,280 --> 00:16:05,440
This whole deep dive has been so eye-opening.

509
00:16:05,440 --> 00:16:06,160
I agree.

510
00:16:06,160 --> 00:16:10,800
We went from like these abstract geopolitical maneuvers

511
00:16:10,800 --> 00:16:14,440
to like the real impact on our wallets, our choices,

512
00:16:14,440 --> 00:16:16,720
and like the entire technology landscape

513
00:16:16,720 --> 00:16:18,160
is all connected.

514
00:16:18,160 --> 00:16:18,480
It is.

515
00:16:18,480 --> 00:16:21,200
And it all goes back to that key question in the book.

516
00:16:21,200 --> 00:16:25,800
Could the US policies that are trying to curb China's rise

517
00:16:25,800 --> 00:16:29,440
in AI actually be hindering progress that could benefit

518
00:16:29,440 --> 00:16:30,080
everyone?

519
00:16:30,080 --> 00:16:31,000
Even the US?

520
00:16:31,000 --> 00:16:32,080
Even the US.

521
00:16:32,080 --> 00:16:33,840
It's a question we all need to think about.

522
00:16:33,840 --> 00:16:37,360
Yeah, especially as AI is just reshaping the world.

523
00:16:37,360 --> 00:16:38,200
Changing everything.

524
00:16:38,200 --> 00:16:38,920
It really is.

525
00:16:38,920 --> 00:16:41,680
This has been AI and global power.

526
00:16:41,680 --> 00:16:43,440
Yeah, thanks for joining us.

527
00:16:43,440 --> 00:16:45,120
We hope this has really empowered you

528
00:16:45,120 --> 00:16:48,560
to be more informed, more engaged, and just more

529
00:16:48,560 --> 00:16:51,960
intentional about your role in shaping the future of tech.

530
00:16:51,960 --> 00:16:53,160
It's up to all of us.

531
00:16:53,160 --> 00:17:19,320
So until next time, stay curious.

