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00:00For more information visit www.fema.gov
00:15Hello and welcome to...
00:20Global Live from the BBC World Service.
00:22In the next half hour we'll bring you the best journalism from our teams.
00:25I'm Joe Tidy, the BBC cyber correspondent, and this week we're in Silicon Valley.
00:30California, the beating heart of the ongoing AI revolution.
00:35This strip of land has shaped modern life from personal computers to social media.
00:39And now it's at the...
00:40At the forefront of the next tech wave.
00:42There's a handful of companies here who are fighting for supremacy.
00:45In the race to build super intelligent AI.
00:47And the stakes?
00:49Power.
00:50Money.
00:51And maybe even the future of humanity.
00:53Later in the programme I'll be...
00:55Exploring one development that was, until recently, a sci-fi dream.
00:59The birth of...
01:00Domestic helper robots.
01:01And it's a few smaller start-ups sprinkled around San Francisco.
01:05That could soon be overtaking the tech giants to make AI servants in your home.
01:10A reality.
01:11And in the wake of America's capture of the Venezuelan...
01:15President, why is Donald Trump so keen to control Venezuela's oil when America produces...
01:20Such huge quantities of oil itself.
01:22We'll explore the global struggle for the planet's...
01:25Precious mineral resources.
01:30Precious utility products.
01:32And a free journey...
01:33...amused for everyone.
01:35That would show up at least before we might...
01:36...inетеאלهم say in my��
01:35Artificial intelligence has been an invisible part of all our lives for years, everything
01:40from our social media feeds to our sat-navs has used some form of AI without us...
01:45really knowing or caring, but the rise of generative AI, programs that can...
01:50great text or pictures or videos in an instant has showed us just how powerful and...
01:55pervasive this technology is.
02:00OpenAI caught the world and the rest of the tech industry...
02:05off-guard when ChatGPT went viral in 2022.
02:09The free website...
02:10ChatGPT became the fastest growing consumer application in history after being used by one million...
02:15people in just five days.
02:17Today, 800 million people use it weekly.
02:20According to the company.
02:22Tech giants like Google and Microsoft are deep in...
02:25in the race too.
02:26And new entrants like Anthropic and Elon Musk's XAI.
02:30are all fighting for a slice of the trillion dollar dream...
02:33as innovative tools to improve...
02:35productivity and creativity are unveiled almost weekly.
02:40But this isn't just a US story.
02:43It's a race too with China's...
02:45Silicon Valley equivalent...
02:46Shenzhen.
02:47That was evident last year when China...
02:50Chinese AI app DeepSeek topped the Apple download charts...
02:53and rocked the markets...
02:55US firms realised...
02:56they no longer had a monopoly on AI.
03:00But the AI revolution is being viewed with alarm...
03:03by some environmentalists.
03:05They fear it's driving up water consumption...
03:07that could lead to shortages.
03:09Although the...
03:10exact extent of this...
03:11is highly contested.
03:13Critics also argue that the...
03:15energy-hungry data centres needed...
03:17to power this tech revolution...
03:18are setting back the global...
03:20drive to bring down carbon emissions.
03:22Google and others have already admitted...
03:24that their own...
03:25carbon reduction targets...
03:26are under strain.
03:28But President Trump...
03:29has shifted Washington...
03:30priorities away from CO2 reduction...
03:33as the US doubles down...
03:34on trying to win...
03:35the AI race.
03:36And as ever...
03:37what happens here...
03:38has ripple effects around the world.
03:40the darker side of AI...
03:43has been on display...
03:44in recent weeks...
03:45as users of Elon Musk's...
03:47AI assistant Grok...
03:48have repeatedly...
03:49prompted its...
03:50image generation tool...
03:51to digitally undress women...
03:53and even children...
03:54to make nearly...
03:55nude images of them.
03:56Elon Musk has warned...
03:58that anyone using Grok...
03:59to make illegal content...
04:00will suffer the same...
04:01consequences...
04:02as if they uploaded it...
04:03themselves.
04:04Camp...
04:05campaigners are urging...
04:06governments across the world...
04:07to tighten regulation...
04:08on deepfake images...
04:09or at least...
04:10enforced laws...
04:11already passed...
04:12but untested.
04:15the techno-utopian view...
04:18is that...
04:19it'll all be worth it...
04:20techno...
04:20technologists promise us...
04:21that the downsides of AI...
04:22will soon be overcome...
04:23and eventually...
04:24there will be an...
04:25age of abundance...
04:26Sam Altman of OpenAI...
04:27and...
04:28his rival...
04:29Elon Musk...
04:30Tesla...
04:31they talk about...
04:32a time when...
04:33we won't even have to work...
04:34and that...
04:35inequality...
04:35all too visible...
04:36here on the streets...
04:37of San Francisco...
04:38will be eradicated...
04:40we think it can be...
04:41a printing press moment...
04:42we are working...
04:43to build tools...
04:44that one day...
04:45could help us make new...
04:45discoveries...
04:46and address...
04:47some of humanity's...
04:48biggest challenges...
04:49like climate change...
04:50and curing cancer...
04:50there are other concerns...
04:51too...
04:52some of the brightest...
04:53minds in AI...
04:54are warning that...
04:55the birth of an intelligence...
04:56greater than humanity's...
04:58might lead...
04:59to the downfall...
05:00of humanity...
05:01the shock of ChatGPT...
05:02led to a global drive...
05:03around...
05:04regulation...
05:05solutions...
05:06for AI safety...
05:07slow down...
05:08and make sure...
05:09that these models...
05:10have humanity's...
05:10best interests at heart...
05:11that was the cry...
05:12but no more...
05:13just as...
05:14climate concerns...
05:15have fallen off...
05:16the priority list...
05:17so too...
05:18have discussions...
05:19about AI safety...
05:20as governments...
05:20prioritize...
05:21growth...
05:22over caution...
05:23and many experts...
05:24also caution...
05:25that above...
05:25global could be...
05:26building...
05:27with investors...
05:28down for big losses...
05:29if the economic...
05:30promise of AI...
05:30doesn't live up to...
05:31expectations...
05:34whether we like...
05:35it or not...
05:36the race is on...
05:37and we're all along...
05:38for the ride...
05:39AI is changing...
05:40where we live and work...
05:41and the next frontier...
05:42could be in our homes...
05:43courtesy of...
05:44domestic...
05:45helper robots...
05:46interestingly...
05:47it's not...
05:48big tech...
05:49that's leading the charge here...
05:50it's nimble startups...
05:51dotted around...
05:52San Francisco...
05:53and according to...
05:54some of these companies...
05:55it could be this year...
05:56that we start to see...
05:57these robots in homes...
06:01domestic helper bots...
06:02are coming...
06:05billions...
06:06is being poured...
06:07into this new...
06:08AI frontier...
06:09a global gold rush...
06:10underway...
06:10they just go make us...
06:12a cup of coffee...
06:13I'm on...
06:16but how close...
06:17actually are we...
06:18to the sci-fi dream...
06:19of a robot butler...
06:20oh...
06:21holy...
06:22never seen this...
06:23in my life...
06:24good accuracy...
06:25oh...
06:26spoke too soon...
06:27it's not just...
06:28investor money at stake...
06:29the tech...
06:30will test safety...
06:31and privacy...
06:32in our most intimate...
06:33of settings...
06:34our homes...
06:35and as with so many...
06:36tech races...
06:37it seems like it's...
06:38China...
06:39versus the US...
06:40and Silicon Valley...
06:41is taking centre stage...
06:44I've come to...
06:45Palo Alto...
06:46to meet the CEO...
06:47of AI Startup...
06:48Sunday...
06:50Tony Chow...
06:54Tony Chow...
06:55began working...
06:56on his home robot...
06:57while at uni...
06:58but dropped out...
06:59to build Memo...
07:00full-time...
07:00while many domestic...
07:01robots in development...
07:02are controlled...
07:03by someone...
07:04tele-operating them...
07:05Sunday has trained...
07:06its bot...
07:07to do many tasks...
07:08completely on its own...
07:09so...
07:10can it see...
07:11me...
07:12around it...
07:13does it...
07:14right now...
07:15it doesn't react...
07:15to you...
07:16but...
07:17it can perceive the world...
07:18with all the cameras...
07:19and other sensors...
07:20can you just go...
07:21make us...
07:22a cup of coffee...
07:25after 2pm...
07:26would you like me...
07:27to go ahead...
07:28and make that...
07:29cup of coffee...
07:30for you?
07:30yes...
07:31please go ahead...
07:32I'm on it...
07:33making your coffee now...
07:34so...
07:35Tony...
07:36can I just check with you...
07:37there's no one...
07:38that we can't see...
07:39doing this for the robot...
07:40this is all...
07:40autonomous...
07:41yes...
07:42it's one single neural network...
07:43controlling the whole body movement...
07:44of the robot...
07:45wow...
07:50it was all going smoothly...
07:54then...
07:55Tony paused the demo...
07:56as he saw something was off...
07:58maybe we need to restart this...
08:00I think...
08:02there's a...
08:03I think...
08:04there's a...
08:05can you stop it?
08:06uh...
08:07I think we might need to do it...
08:08again...
08:09I saw there...
08:10there's some peeling off here...
08:11uh...
08:12sorry about that...
08:13let's just try again...
08:14maybe I'm overly...
08:15cautious...
08:16whoa...
08:19oh...
08:20holy...
08:21oh...
08:22I've never seen this in my whole life...
08:25after a reset...
08:28Memo smoothly cleared away the table...
08:30there's obviously work to be done...
08:33to get it ready for homes...
08:34but...
08:35there's no doubt...
08:36this is one of the most capable bots in the world...
08:40how have you got the robot...
08:45to be this...
08:46advanced...
08:47how have you done it?
08:48so...
08:49I think...
08:50normally...
08:50uh...
08:51the way we train AI...
08:52is...
08:53to teleoperator robots...
08:54in people's homes...
08:55or in other places...
08:56and gather the data...
08:57and train the AI...
08:58and...
08:59what we're doing is different...
09:00as in we don't need robot data...
09:01to train the robot...
09:02and instead...
09:03we build these gloves...
09:04and...
09:05people just wear their gloves...
09:06in their homes...
09:07and collect data for us...
09:08and that...
09:09give us really...
09:10the first data...
09:11because we now see like...
09:12more than 500 homes...
09:13and also...
09:14all the different ways...
09:15they go about...
09:15doing the task...
09:16Sunday's army of robot teachers...
09:18are all being paid...
09:19to do repetitive...
09:20everyday tasks...
09:21a reminder of the human drudgery...
09:23underpinning how these machines learn...
09:25the staff allow cameras...
09:27and sensors to record...
09:28their every move at home...
09:29but Sunday...
09:30it plans to start shipping memos...
09:31next year...
09:32so...
09:33if the bot needs to be...
09:34remotely controlled...
09:35it will raise privacy...
09:36considerations...
09:37for customers...
09:38as well as questions...
09:39about safety...
09:40in a domestic setting...
09:41like there will be kids...
09:42running around...
09:43kids will be climbing...
09:44on the robot...
09:45so we really want to...
09:46make sure...
09:47that...
09:48we put safety...
09:49as a...
09:50most fundamental consideration...
09:51when we design these robots...
09:55some robotics companies...
09:56are already out in the wild...
09:58gathering training data...
10:00in public...
10:01here it is...
10:03Isaac's been trained...
10:04by watching...
10:05hundreds of hours...
10:06of laundry folding...
10:07for the last couple of months though...
10:08it's been doing it...
10:09on its own for real...
10:10here...
10:11and in six other sites...
10:12in San Francisco...
10:13Deployment...
10:14is the...
10:15strategy...
10:16nothing...
10:17counts...
10:18if it's...
10:19sequestered away...
10:20in...
10:20we'll do a live...
10:21demonstration...
10:22there we are...
10:23okay...
10:25this is...
10:26a lot slower than a human...
10:27so...
10:28some people might be watching this...
10:29saying...
10:30oh...
10:31that's not very impressive...
10:30but can you...
10:31can you tell us...
10:32why it is impressive...
10:33this thing can run...
10:34all day...
10:35you often hear...
10:35that robots...
10:36are best suited...
10:37to tasks...
10:38that are dull...
10:39dirty...
10:40or dangerous...
10:40we want to make...
10:41clothing...
10:42folding...
10:43optional...
10:44for people...
10:45when you first...
10:45put this robot here...
10:46how long did it take...
10:47to do one t-shirt...
10:48I think that...
10:49we were looking at...
10:50two...
10:50two-thirty...
10:51so already...
10:52what...
10:53in...
10:54how many months...
10:55that's in a month and a half...
10:56in a month...
10:55you've got down to...
10:56one-thirty...
10:57just over one-thirty...
10:58we've planned to start...
10:59shipping this year...
11:00they say...
11:01it'll be able to tidy up...
11:02and fold laundry...
11:03but it's not clear...
11:04how much of that...
11:05will be autonomous...
11:05across town...
11:07at physical...
11:08intelligence...
11:09they're not interested...
11:10in building...
11:10robots themselves...
11:11they're focused...
11:12on creating...
11:13the AI software...
11:14that can be used...
11:15to make...
11:15any robot...
11:16capable of doing chores...
11:17autonomously...
11:18the rest of AI...
11:19like in...
11:20ChatTVT...
11:21for example...
11:22we're used to...
11:23training these models...
11:24on...
11:25an internet...
11:25of data...
11:26but we don't have...
11:27that web of data...
11:28for robotics...
11:29we want to be able...
11:30to actually...
11:30kind of...
11:31essentially...
11:32breathe intelligence...
11:33into any sort of...
11:34physical embodiment...
11:35whether that's...
11:35a standard...
11:36typical robot...
11:37a humanoid robot...
11:38or even something...
11:39that looks closer...
11:40to an appliance...
11:40simple...
11:41Like all these companies...
11:42Chelsea and her team...
11:43are developing...
11:44their AI software...
11:45using...
11:45reams of videos...
11:46of humans...
11:47doing chores...
11:48their approach...
11:49is proving successful...
11:50investors...
11:51like AI giant...
11:52OpenAI...
11:53are on board...
11:54another tech giant...
11:55Tesla...
11:56is deep...
11:57in development...
11:58of its own...
11:59humanoid robot...
12:00Optimus...
12:01but it's not...
12:00to get clear...
12:01what it can do...
12:02and it's not just...
12:03in the US...
12:04where people are...
12:05getting excited...
12:06about human...
12:05like robots...
12:06Chinese company...
12:07Unitree...
12:08is already dominating...
12:09the market...
12:10with its...
12:10V1 robot...
12:11seen here...
12:12in a demo...
12:13given to us...
12:14by its UK seller...
12:15Scan...
12:16This is happening...
12:15right now...
12:16people are buying them...
12:17people are...
12:18coding on them...
12:19and people...
12:20are learning...
12:20it's entirely...
12:21operated...
12:22it's not autonomous...
12:23at all...
12:24as of yet...
12:25It's hard to get into...
12:26China to film...
12:27but the humanoid...
12:28robot industry...
12:29is so hot there...
12:30but the government...
12:31recently warned...
12:32a bubble might be...
12:33building...
12:34set to burst...
12:35what's really interesting...
12:36driving around...
12:37and speaking to all these...
12:38robotics companies...
12:39in Silicon Valley...
12:40is there's a lot...
12:40of confidence...
12:41they think they are...
12:42building the future...
12:43and they're certain...
12:44it's going to be...
12:45a huge...
12:45money maker...
12:46but there's also...
12:47some nervousness...
12:48as well...
12:49because...
12:50there's lots of things...
12:51that we wanted to film...
12:50and we wanted to show...
12:51but we can't...
12:52they are...
12:53scared...
12:54because of course...
12:55this...
12:55is a race...
12:56a race...
12:57to bring to market...
12:58a domestic robot...
13:00a company that...
13:01hopes to be the first...
13:02is OneX...
13:03the Norwegian...
13:04founded company...
13:05moved here last year...
13:06and millions of dollars...
13:07are riding on its...
13:08spot...
13:09NIO...
13:10becoming a hit...
13:10someone...
13:11is operating...
13:12NIO...
13:13right now...
13:14and watering all the plants...
13:15I've just been told...
13:16this is what they do all day...
13:15so there are people...
13:16in the office...
13:17operating NIO...
13:18with a VR headset...
13:20carrying out tasks...
13:21and testing...
13:22all day long...
13:23good accuracy...
13:25oh...
13:26spoke too soon...
13:27so interestingly...
13:29NIO is...
13:30struggling...
13:31with this particular handle...
13:32but...
13:33the team here...
13:34change the handles...
13:35all the time...
13:35because they're trying...
13:36to train the robot...
13:37different ways...
13:38to open different handles...
13:40they had it there...
13:41founder Bernd Bournich...
13:43is pushing hard...
13:44to get NIO...
13:45out to homes...
13:46so what can...
13:47NIO do right now...
13:48for me...
13:49in my home...
13:50does a pretty good job...
13:51of like tidying...
13:52so like...
13:53resetting my living room...
13:54and my house in general...
13:55uh...
13:56wiping surfaces...
13:57like cleaning the counter...
13:58like these kind of things...
13:59and that's all...
14:00someone with a VR headset...
14:01it's a mix...
14:02it's a mix...
14:03so in...
14:04in my home...
14:05we have a lot of...
14:05data...
14:06so a lot of the stuff in my home...
14:07can get automated...
14:08because we have data there...
14:09periodically...
14:10someone kind of...
14:10in and helps if the robot does not know exactly how to move on early adopters will have
14:15to be comfortable then waiving their privacy and as with all these bots battery life is going to have to
14:20be improved as Neo can only work for about four hours at a time but Bernd promises that
14:25Neo will be able to carry out many tasks and charge itself autonomously by the time they start
14:30shipping it your first set of customers then they have to be quite wealthy and they have to be willing
14:35for Neo to make mistakes essentially well I don't think they have to be quite wealthy I think
14:40yeah like our most
14:45people who have a car so you liken it to a car yeah I mean it is a pretty
14:50affordable car it depends on your needs right a lot of our early customers are people that actually
14:55have a lot of value from this and for a very large subset of that it will be way more
15:00higher value than having a second car getting the right customers is more important
15:05in the beginning distribution with the right customers so we can really use these amazing people
15:10that are our early adopters to help us make this work outside of
15:15the tech bubble some including the International Federation of Robotics think it could take
15:2020 years before domestic bots become truly useful and accepted
15:25but we have heard that before about other futuristic AI technologies
15:30in some ways
15:35brand new revolutionary technology does just sort of creep up on you if you think about driverless cars
15:40I've been talking about driverless cars in my reporting for a decade at least but now they're here
15:45and they're just sort of normal in many cities across the US and in China
15:50driverless cars are an everyday site
15:53AI robotics companies are convinced
15:55convinced their tech will go the same way
15:58and not only will their devices be truly
16:00useful we'll all eventually want one in our homes
16:05now to South America Donald Trump has said Venezuela will be turning over
16:10up to 50 million barrels of oil to the US this comes after the military operation
16:15to remove President Nicolás Maduro from power
16:18but why does America want more oil
16:20when it's already the world's biggest producer
16:22Laura Garcia from the BBC's global journalism
16:25team explains why
16:30there is no
16:35produces more oil than any other country in the world.
16:39And President Trump
16:40talks about it a lot.
16:41Take the oil.
16:42Keep the oil.
16:43Drill, baby, drill.
16:45But he doesn't just talk about America's oil.
16:48We're going to have a president.
16:50So why is he interested in more oil when the...
16:55The U.S. has so much of its own.
17:00To understand this, we need to take a deeper look at oil
17:02and how it shaped the U.S. and the world.
17:05Oil fuels our transport and powers our homes.
17:09But it's...
17:10It's also used to make plastic, asphalt, and even some lip balms.
17:14And to make all those...
17:15Different things requires different types of oil.
17:17Depending on its density, sulfur content...
17:20and ability to flow, oil is classed from light sweet crude on one end.
17:25To heavy sour on the other.
17:27It's easier to refine light crude than heavy...
17:30which is thicker.
17:32And once that's done,
17:33the light is mainly used for products...
17:35like gasoline and jet fuel.
17:36While heavy oil can be used as fuel for ships,
17:39material for roads...
17:40and lip balm...
17:41among many other things.
17:43That's generally reflected...
17:45in the price.
17:45Light sweet crude, the blue line on the chart,
17:48is worth more than heavy.
17:50the red line.
17:50And so it's more expensive to buy.
17:54And this...
17:55This is key to understanding American oil.
17:59In 2025...
18:00the US sold 13.4 million barrels a day.
18:05And at the same time...
18:06it bought nearly 2 million barrels each day...
18:08from other countries.
18:09So...
18:10why not just keep those extra barrels it produces?
18:14It all comes down...
18:15down to light versus heavy.
18:17America's oil is 80% light.
18:21But most US oil refineries...
18:22like these along the Gulf Coast...
18:25were built to deal with heavy.
18:27That's because most oil available to the US...
18:30in the 20th century...
18:31was heavy sour crude oil...
18:32imported from Latin America and Canada.
18:35But in the early 2000s...
18:37there was a seismic shift in US oil...
18:40production.
18:41Advances in technology...
18:42meant light crude oil...
18:43trapped in shale rocks...
18:44could now be extracted...
18:45its scale.
18:47This means there's a mismatch...
18:48between most of the oil...
18:50that America has...
18:51and the type it can refine.
18:53Once a refinery has been built...
18:55it's very difficult...
18:56to change it...
18:57and requires millions...
18:58and millions of dollars.
19:00worth of investment.
19:02It's not worth doing that...
19:03because as we saw on this graph...
19:05America can sell...
19:06its light crude for more...
19:07and buy heavy...
19:08for less.
19:09It makes...
19:10a good economic sense.
19:13So let's look at the top 10 countries...
19:15with the biggest oil reserves.
19:18Many are known to extract...
19:19heavy crude.
19:20three of them...
19:21Venezuela...
19:22Iran...
19:23and Russia...
19:24are currently under sanctions...
19:25by the...
19:25United States.
19:26Despite this...
19:27small amounts of oil...
19:28from Venezuela...
19:29have trickled in...
19:30into the US.
19:32That's because...
19:33after Venezuela struck oil...
19:34it was mostly...
19:35American companies...
19:36that helped...
19:37set up the industry.
19:38And that relationship...
19:39continued...
19:40for most...
19:40of the 20th century...
19:41extracting...
19:42their heavy crude.
19:43Unlike other...
19:44Latin American...
19:45countries...
19:46Venezuela maintained...
19:47this positive relationship...
19:48with the United States.
19:50even during the...
19:521976...
19:53nationalisation of oil.
19:55the United States.
19:56But the turning point...
19:57was when...
19:58socialist leader...
19:59Hugo Chavez...
20:00came to...
20:00power in...
20:011999.
20:02And...
20:03however...
20:04...
20:05he asserted...
20:06state control...
20:07over the oil industry...
20:08in particular.
20:09He put...
20:10tougher conditions...
20:11on foreign oil companies...
20:12and that's what...
20:13the US government...
20:14and US...
20:15oil companies...
20:16didn't really like.
20:17When Hugo Chavez...
20:18died in 2013...
20:19Nicolás Maduro...
20:20became president...
20:21and continued...
20:22these policies.
20:24In 2019...
20:25a World Bank tribunal...
20:26ordered the Venezuelan...
20:27government...
20:28to pay compensation...
20:29to US oil companies.
20:30but it wasn't paid.
20:33And that's part of...
20:34what US president...
20:35Donald Trump...
20:36is referring to...
20:37when he says...
20:38that Venezuela...
20:39has stolen...
20:40American oil.
20:40they took our oil rights...
20:41we had a lot of oil...
20:42there...
20:43as you know...
20:44they threw...
20:45our companies down...
20:45and we want it back.
20:47Venezuela...
20:48denies these claims.
20:50things escalated...
20:51between the two countries...
20:52at the end of 2025...
20:53when the US military...
20:55seized oil tankers...
20:56and blockaded...
20:57Venezuelan ports.
20:59President Trump...
21:00said this was...
21:01to tackle...
21:02narco-terrorism.
21:04On January...
21:053rd...
21:06American troops...
21:07seized the leader...
21:08of Venezuela...
21:09Nicolás Maduro...
21:10and his wife.
21:10they took them...
21:11to the United States...
21:12to face...
21:13drug-related charges.
21:15here's some of what...
21:16President Trump said...
21:17following that intervention.
21:18We have the greatest...
21:19oil companies in the...
21:20world...
21:21go in and invest...
21:22billions and billions...
21:23of dollars...
21:24and take out money...
21:25use that money...
21:25in Venezuela...
21:26and...
21:27the biggest...
21:28beneficiary...
21:29are going to be...
21:30the people of Venezuela.
21:30US and western...
21:32sanctions in Venezuela...
21:33over the last decade...
21:34have made space...
21:35for competitors to come in...
21:36like...
21:37Russia...
21:38Iran...
21:39and particularly...
21:40China.
21:40China has been...
21:41buying around...
21:4290% of Venezuela's oil...
21:44and is a key...
21:45trading partner.
21:46And it's this...
21:47sort of influence...
21:48that the Trump administration...
21:49wants to stop.
21:50Well, we want...
21:51safety there.
21:52We want to be...
21:53surrounded by...
21:54countries...
21:55that aren't housed...
21:55all of our enemies...
21:56all over the world.
21:57When it comes to...
21:58Venezuela's oil...
21:59things aren't...
22:00going to change...
22:01quickly.
22:02Despite Venezuela...
22:03having the biggest...
22:04known reserves...
22:05around...
22:05303...
22:06billion...
22:07barrels...
22:08it exports...
22:09fewer than...
22:10a million...
22:10barrels...
22:11a day.
22:12That's because of...
22:13sanctions...
22:14and decades...
22:15of underfunding...
22:16and mismanagement.
22:15the infrastructure...
22:16has to be...
22:17in some cases...
22:18believe it or not...
22:19rebuilt.
22:20from scratch...
22:21looking at a...
22:22three to four year...
22:23window...
22:24before...
22:25any...
22:25Venezuelan crew...
22:26in meaningful...
22:27volumes...
22:28happens.
22:29And while...
22:30there's a push...
22:30more renewable energy...
22:31in the face of...
22:32growing...
22:33climate change...
22:34concerns...
22:35oil...
22:36still...
22:35place a crucial role...
22:36in the global order.
22:40also this week...
22:42on the world service...
22:43also this week...
22:44on the world service...
22:45as protests...
22:46have rapidly spread...
22:47across Iran...
22:48in recent days...
22:49initially driven...
22:50by public anger...
22:50over the country's...
22:51economy...
22:52BBC Persian...
22:53in collaboration...
22:54with BBC Verify...
22:55have been...
22:55monitoring videos...
22:56posted online...
22:57to produce...
22:58a dynamic map...
22:59indicating where...
23:00the protests...
23:01have broken...
23:00out...
23:01the map...
23:02clearly shows...
23:03just how widespread...
23:04the challenge...
23:05the Iranian government...
23:06has become...
23:05you can read...
23:06the full story...
23:07on the BBC News website...
23:10now we're going to...
23:11take you to...
23:12Central America...
23:13since Donald Trump's...
23:14return to the White House...
23:15in January...
23:162025...
23:17the United States...
23:18has taken a much...
23:19stricter view...
23:20on immigration...
23:20with sweeping efforts...
23:21to remove...
23:22undocumented migrants...
23:23from the country...
23:24yet despite the...
23:25threat of deportation...
23:26thousands...
23:27from Central...
23:28and Southern...
23:29America...
23:30continue to head...
23:30North...
23:31in search of...
23:32opportunity...
23:33among them...
23:34are Guatemalans...
23:35nearly 10%...
23:35of the country's...
23:36population...
23:37has relocated...
23:38to the US...
23:39in recent decades...
23:40and the remittances...
23:41they say...
23:40back home...
23:41have become...
23:42a cornerstone...
23:43of Guatemala's...
23:44economy...
23:45reports...
23:46on how...
23:47remittance homes...
23:48have become...
23:49an economic...
23:50lifeline...
23:51and...
23:52a cultural symbol...
23:50of...
23:51the...
23:52the...
23:53the...
23:54the...
23:55My son went to the United States, and at that time he started sending remesas.
24:00My mom went to the United States.
24:05Cumplió su sueño, hizo nuestra casa en Guatemala.
24:10Guatemala, a country made up of around 18 million,
24:13is one of the poorest countries in Central America.
24:15Inequality is extreme, especially in rural and indigenous areas.
24:20Where poverty, underemployment and limited access to public services
24:25remain widespread.
24:26For decades, migration has been one of the main ways Guatemalans have to
24:30try to escape that reality.
24:32The main destination, the United States.
24:35For families who stay behind, migration has one central economic consequence.
24:40Fromcauses
24:41Conurbances
24:42limit 메뉴�
24:45There's a little bit of your music.
24:50builder and has just completed this mansion for his 22 year old son who migrated
24:55to the u.s three years ago mi hijo trae ese sueño de tener la casa
25:00bonita ha agarrado dos trabajos construcción en la parte de la mañana y parte de la noche
25:05restaurante yo no he viajado pero creo lo duro que es estar en los estados
25:10unidos cada vez que él consigue el dinero manda para material manda para pago
25:15y así conforme se fue ejecutando la obra
25:17globally remittances are often
25:20as financial flows in guatemala they are visible in everyday life and in the
25:25built environment
25:26esta ya es un acabado cocina americana
25:30es un desayunador o barra como le llama podemos llamar
25:35es un desayunador o barra como le llama
25:36money sent from migrants in the united states has become a pillar
25:40of guatemala's economy in many rural municipalities remittances exceed all
25:45other sources of income combined including state investment
25:50jordi is a local architect who specializes in american style
25:55homes from his studio in the center of san martin zacatepequez he designs houses
26:00commissioned by migrants who want to help their families or dream of one day
26:05turning to live in guatemala
26:10we are talking about a $100,000 which are $700,000 in advance
26:15here I like pastel bright and glitter
26:20turquesas morados al final de cuentas viene siendo un choque de quien tiene lo mejor
26:25la mayoría de mis clientes vienen de eeuu podría asegurar que aproximadamente un 75%
26:30de ellos vienen de allá es un pequeño porcentaje el que se queda acá en guatemala y puede hacer las viviendas
26:35que alguien en esa situación de ese país podría construir
26:40maria's mother works in the united states and moved there more than 12 years ago
26:45the money she sends to guatemala every month allowed her daughter to move from a
26:50small house made of metal sheets to this three-story mansion
26:55aquí tengo el local y tengo la sala tengo un cuarto y la cocina
27:00y en tercer nivel tengo cuatro cuartos y un regadera
27:05mi mamita ella está trabajando en limpieza siete días trabaja
27:10allí ella luchando dijo mi mamita a mí me gusta
27:15me gustaría hacer mi casa como estilo americano porque yo cuando yo voy
27:20a trabajar allá yo quisiera tener unos de ellos
27:25en los últimos años reminences también se han convertido en forma de insurgencia
27:28contra la deportación
27:30el presidente donald trump returned to the white house us immigration policy has again
27:35tightened the administration has intensified enforcement against undocumented
27:40immigrants increasing workplace rates and deportations most guatemalans now
27:45living in the u.s are believed to be undocumented
27:48puede tener que ver con un panic
27:50de que cualquier momento los van a deportar y tienen que esforzarse más y mandar lo más que puedan
27:55por las nuevas políticas migratorias de trump el envío de remesas de vuelta hacia guatemala
28:00está transformando completamente la arquitectura de pueblos y periferias de las ciudades guatemaltecas
28:05la cantidad de remesas que se recibió por ejemplo en el año 2024 fue de 21 mil
28:10millones es una barbaridad estamos hablando del 20% del PIB guatemalteco
28:15guatemala's reminence architecture is ultimately a physical record global
28:20inequality migration and power build one house at a time
28:25ellos le pidieron a dios poder llegar a donde ellos sueñan
28:30como es el sueño americano y esperamos en dios así como fueron así regresa
28:35a disfrutar del sacrificio mi hijo él está ya
28:40ansioso de regresar y ver la casa que se ha construido para él
28:45thanks for joining us here in california
28:50next week global i will be reporting from israel goodbye
28:55i will be reporting from israel goodbye
29:00i will be reporting from israel goodbye
29:05i will be reporting from israel goodbye
29:10You
29:15You
29:20You
29:25You
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