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This week we are back in China on the hunt for innovation. | :00:00. | :00:08. | |
With gassy fabrics, liquid metal, and a good, solid meal... | :00:09. | :00:15. | |
It probably won't surprise you if I tell you China makes a lot | :00:16. | :01:01. | |
of stuff, but would you believe it makes quite this much? | :01:02. | :01:05. | |
In 2011, the country produced 90% of all computers, 80% | :01:06. | :01:11. | |
of all air conditioners and energy-saving lightbulbs, | :01:12. | :01:12. | |
70% of all cellphones, that's just over a billion of them, | :01:13. | :01:16. | |
and they also found time to make 63% of the world's shoes. | :01:17. | :01:23. | |
And much of all of that would have come from this place. | :01:24. | :01:26. | |
Welcome to the city of Shenzhen, in the Guangdong Province. | :01:27. | :01:34. | |
So much of the world's electronics come from Shenzhen. | :01:35. | :01:38. | |
So much of your electronics started life here. | :01:39. | :01:41. | |
Cases, components, chips, circuit boards. | :01:42. | :01:45. | |
Nestled away on the southern coast, it's called the Workbench of China, | :01:46. | :01:54. | |
Less than 40 years ago, only 30,000 people lived here. | :01:55. | :02:02. | |
And that explosive growth is built on foundations of silicon. | :02:03. | :02:13. | |
This week, I'm on a mission to find out how our things | :02:14. | :02:16. | |
And as the saying goes, when it comes to electronics, | :02:17. | :02:23. | |
This is the HAX, Hardware Accelerator, in downtown Shenzhen. | :02:24. | :02:34. | |
Each year, teams of hopeful entrepreneurs make a pilgrimage | :02:35. | :02:37. | |
to this place to plan, prototype and perfect | :02:38. | :02:40. | |
But before I show you around, time for a spot of lunch. | :02:41. | :02:47. | |
We call it micro foods, so it's insects as the new protein. | :02:48. | :02:52. | |
It is something that's been eaten for a very long time in all parts | :02:53. | :02:55. | |
The hive is the smallest possible footprint of producing protein | :02:56. | :03:06. | |
So better than plants, better than owning a cow? | :03:07. | :03:14. | |
Better than plants, definitely better than owning a cow. | :03:15. | :03:17. | |
You don't have to add additional water, they take it out | :03:18. | :03:23. | |
They can actually be mixed into any types of recipes. | :03:24. | :03:47. | |
In this way, we just roasted them, so they are just roasted and crispy. | :03:48. | :03:54. | |
But you can also make them into a meat patty and make | :03:55. | :03:57. | |
It's a shrimp that came on land a really long time ago. | :03:58. | :04:15. | |
Living Farms is only one of the companies currently | :04:16. | :04:26. | |
in residency, and there is no shortage of interesting ideas. | :04:27. | :04:30. | |
There's the roadie auto guitar tuner, the skiing boots that | :04:31. | :04:34. | |
track your skiing style, the orthopaedic foot insert that | :04:35. | :04:37. | |
analyses how you walk, there's the internet | :04:38. | :04:39. | |
of things farm monitor, and the remote control | :04:40. | :04:42. | |
This device takes liquid materials, special formulations, | :04:43. | :04:51. | |
and it converts them into nanofibres using an electric field. | :04:52. | :04:56. | |
What happens is this little spinning needle produces a fabric | :04:57. | :04:59. | |
Primarily, this machine is aimed at researchers right now. | :05:00. | :05:05. | |
We are looking to get into the market and help people | :05:06. | :05:07. | |
bring advanced textiles to a commercially viable | :05:08. | :05:11. | |
point by offering a fast, affordable lab machine. | :05:12. | :05:14. | |
Shenzhen has a wealth of manufacturers and vendors, | :05:15. | :05:17. | |
so for prospective in the bay area, there might be two CNC | :05:18. | :05:21. | |
There's hundreds, maybe thousands in Shenzhen, and they're quick, | :05:22. | :05:26. | |
cheap, they respond to text messages, and it allows us to do | :05:27. | :05:29. | |
work in a short amount of time for cheap. | :05:30. | :05:33. | |
It's high quality work as well, so good for manufacturing | :05:34. | :05:36. | |
HAX has been here since 2011, and over 100 companies | :05:37. | :05:42. | |
It's a little empty today because there is another HAX | :05:43. | :05:49. | |
office over in the US, and at the moment, everyone | :05:50. | :05:52. | |
is over there showing off their creations, | :05:53. | :05:55. | |
It's very bizarre that you're in San Francisco | :05:56. | :06:00. | |
Why do you have a space here and a space in San Francisco? | :06:01. | :06:08. | |
Yes, the early stage action is there, definitely, | :06:09. | :06:15. | |
and all of the entrepreneurs in the world who go to Shenzhen | :06:16. | :06:18. | |
and work with suppliers to build the best products to get to market, | :06:19. | :06:22. | |
but after investing and accelerating about 145 companies in the last few | :06:23. | :06:28. | |
years, I realised it was important to sell those products, | :06:29. | :06:36. | |
and it is equally difficult to sell a product as to build it. | :06:37. | :06:42. | |
So we have been building the next phase of the programme | :06:43. | :06:46. | |
The big appeal of HAX is that it is within a short walk | :06:47. | :06:53. | |
of some of the best and biggest electronic markets in the world. | :06:54. | :06:57. | |
That means instant access to the cornucopia of components | :06:58. | :07:00. | |
you will need to source if you want your thing | :07:01. | :07:03. | |
There, I said the word "thing" again. | :07:04. | :07:08. | |
The markets of Shenzhen are so vast that it would be foolhardy | :07:09. | :07:15. | |
So we are at Singapore Airport and heading to Hong Kong. | :07:16. | :07:24. | |
Andrew Huang, or Bunny for short, is an MIT alumnus, entrepreneur | :07:25. | :07:34. | |
That's hacker in the breaking and building stuff sense | :07:35. | :07:39. | |
He's a few written books, including Hacking The XBox, | :07:40. | :07:44. | |
and most recently, The Essential Guide | :07:45. | :07:50. | |
Our core product are the peel and stick electronic LEDs. | :07:51. | :07:57. | |
Today, Bunny is making the pilgrimage to Shenzhen, | :07:58. | :08:11. | |
I'm tagging along to find out what it is all about. | :08:12. | :08:16. | |
This is where I come to do a lot of searching | :08:17. | :08:19. | |
to see what is available, what is selling and not selling. | :08:20. | :08:26. | |
There are these cables here, and these cables there. | :08:27. | :08:29. | |
That's the whole idea of this market. | :08:30. | :08:33. | |
Discounts are easily 10-1 over what you can get in online retail | :08:34. | :08:39. | |
They are made here and then resold there. | :08:40. | :08:49. | |
And, I'm afraid to say, it's not long before I succumb | :08:50. | :08:52. | |
So far, we've only walked a couple of levels. | :08:53. | :09:10. | |
So if you can't find it on this floor, don't worry, | :09:11. | :09:13. | |
This guy's selling a variety of switches. | :09:14. | :09:20. | |
These are the battery holders inside toys. | :09:21. | :09:31. | |
Connectors you'd find inside mobile phones. | :09:32. | :09:33. | |
I could come here and ask her today, I want a wire that's a little bit | :09:34. | :09:40. | |
longer, and she'll go ahead and make up 1,000 for me and have them ready | :09:41. | :09:44. | |
A lot of times when I come to Shenzhen, I don't even | :09:45. | :09:52. | |
I buy everything I need as it's such a hassle to get | :09:53. | :09:56. | |
Then I just leave them in the hotel when I leave. | :09:57. | :10:00. | |
It's cheaper than paying for checked luggage. | :10:01. | :10:02. | |
They sell soldering irons, diagonal cutters, development kits | :10:03. | :10:06. | |
Within ten metres of here, you can probably get everything | :10:07. | :10:12. | |
you need to take some simple project and bring it into existence. | :10:13. | :10:21. | |
I've spent a decade here looking around. | :10:22. | :10:28. | |
By the time you walk from one end of the market to the other, | :10:29. | :10:34. | |
the beginning of the market has already reinvented itself. | :10:35. | :10:40. | |
Do you shake on it or have some kind of...? | :10:41. | :10:45. | |
It's a crazy thing where sometimes you say you need 10,000 of these | :10:46. | :10:49. | |
parts, and it's not a small amount of money. | :10:50. | :10:53. | |
A lot of times a person will come along and say, come | :10:54. | :10:56. | |
I could stiff them and not come with the money, and | :10:57. | :11:01. | |
And a lot of time they don't ask for a deposit. | :11:02. | :11:05. | |
Just come back and they will have them for you. | :11:06. | :11:07. | |
Rather you than me, if you do this regularly. | :11:08. | :11:09. | |
China is not all cables and chips, you know. | :11:10. | :12:07. | |
Then you rule books kicking in August. -- the new rules. Microsoft | :12:08. | :12:25. | |
researchers have dealt a high-tech mosquito track to battle outbreaks | :12:26. | :12:35. | |
like this eco- outbreak. -- Zico. They can detect the species and only | :12:36. | :12:44. | |
capture ones that spread diseases. Another algorithm, developed by MIT, | :12:45. | :12:51. | |
they have been using their deep learning systems to predict the | :12:52. | :12:57. | |
future or how humans will respond to events. It can predict whether to | :12:58. | :13:08. | |
individuals will handshake or high five. China is not all cables and | :13:09. | :13:16. | |
chips. It is starting to become known for its fully fledged devices. | :13:17. | :13:32. | |
It sees itself as a global player. The company has 170,000 employers. | :13:33. | :13:38. | |
60,000 work here. It's here that new devices | :13:39. | :13:46. | |
are developed and tested. Welcome to my own private | :13:47. | :13:48. | |
anechoic chamber. This particular box here | :13:49. | :13:51. | |
is where they put their network And after all that stress, | :13:52. | :13:57. | |
it's time for lunch, again. Yeah, it's becoming a bit | :13:58. | :14:09. | |
of a theme really, isn't it? But on a campus this big, | :14:10. | :14:12. | |
the midday meal itself can be Right, so it's 11:38am, | :14:13. | :14:15. | |
and I'm reliably informed in the next few minutes this place | :14:16. | :14:21. | |
is going to fill up like crazy. And now it's 12:00pm, | :14:22. | :14:31. | |
and everybody has eaten. If it looks like everyone's | :14:32. | :14:39. | |
in a rush, well, they are. The quicker they eat, | :14:40. | :14:41. | |
the longer they have I kid you not, having a roll-up bed | :14:42. | :14:44. | |
under your desk is Despite the huge numbers, | :14:45. | :14:50. | |
Huawei's path to world domination It's still trying to lift a ban | :14:51. | :14:55. | |
on providing network equipment to the US, | :14:56. | :15:00. | |
after it and fellow Chinese manufacturer ZTE were accused | :15:01. | :15:04. | |
of building back doors into their networking equipment, | :15:05. | :15:06. | |
which could allow the Chinese It's something Huawei's founder | :15:07. | :15:08. | |
denied in a BBC interview last year. There's no way we can possibly | :15:09. | :15:18. | |
penetrate into other people's systems, and we have never | :15:19. | :15:20. | |
received such a request But the company carries | :15:21. | :15:23. | |
on undeterred, and is still focused Its latest tablet, | :15:24. | :15:31. | |
the MateBook, is set to launch Now, if Shenzhen is the R | :15:32. | :15:35. | |
department, then the neighbouring city of Dongguan, about an hour's | :15:36. | :15:46. | |
drive away, is the factory floor. Time to hook up with Bunny again, | :15:47. | :15:49. | |
as he visits a factory to see if it's suitable | :15:50. | :16:03. | |
to make his new product. All the bits and bobs that you see | :16:04. | :16:13. | |
inside a phone or electronic gadgets They can make different | :16:14. | :16:17. | |
products just by If I go ahead and squeegee that | :16:18. | :16:25. | |
solder right onto the board... And everything gets | :16:26. | :16:34. | |
stuck to that, does it? This machine is called | :16:35. | :16:36. | |
a chip shooter. So it's a robot that's able to shoot | :16:37. | :16:39. | |
chips onto this board. Listen to that, it sounds | :16:40. | :16:42. | |
like a machine gun as well. Once the machines have | :16:43. | :16:45. | |
placed the components, everything goes into a big oven, | :16:46. | :16:46. | |
which melts the solder and sticks It's like one of those | :16:47. | :16:49. | |
hotel toasters, isn't it? Where the bread goes | :16:50. | :16:55. | |
in and very slowly comes round. In fact, if you look at some | :16:56. | :17:01. | |
of the hobbyist DIY crowd, they will actually essentially | :17:02. | :17:04. | |
replicate this at home It's still quite warm, | :17:05. | :17:06. | |
so be careful with it. Machines like these allow even | :17:07. | :17:09. | |
a relatively small factory But humans are still needed | :17:10. | :17:12. | |
in this room, mainly And across the way, | :17:13. | :17:15. | |
there's even more of them. This is your typical assembly-line, | :17:16. | :17:18. | |
your material comes in the front. She's responsible for putting | :17:19. | :17:27. | |
on glue, she's responsible for putting on connectors, | :17:28. | :17:29. | |
she's responsible for putting on diodes, resistors, | :17:30. | :17:32. | |
so on and so forth, It turns out that, for example, | :17:33. | :17:37. | |
it's really hard to build robots that can reach into a box full | :17:38. | :17:43. | |
of components like this, figure out there's a little line | :17:44. | :17:46. | |
here, there's a diode, you have to figure out | :17:47. | :17:48. | |
which way to put it, and then drop it in the board right | :17:49. | :17:51. | |
in the hole. So, even here, the human's | :17:52. | :17:56. | |
days are numbered. Wages are rising in Dongguan | :17:57. | :17:58. | |
as businesses compete Because of that, factories | :17:59. | :18:06. | |
are looking to automate even larger Case in point, Foxconn, | :18:07. | :18:09. | |
manufacturer of the iPhone amongst other gadgets, | :18:10. | :18:15. | |
recently revealed that it had more than halved its workforce in one | :18:16. | :18:17. | |
factory, replacing 60,000 workers There is one task up here though | :18:18. | :18:19. | |
that I think everyone is glad You see that pool of | :18:20. | :18:32. | |
liquid metal? That is the T-1000 | :18:33. | :18:35. | |
in there, right now. Well, until the rise | :18:36. | :18:38. | |
of the machines, the humans Oh come on, it does that? | :18:39. | :18:47. | |
Yeah, yeah, yeah. It's got rainbow keys? | :18:48. | :18:54. | |
It feels good. Never mind all this speech | :18:55. | :18:56. | |
recognition, I want to type stuff. I tell you what, blink and you miss | :18:57. | :19:04. | |
a mass movement of people here. They've all gone home. | :19:05. | :19:13. | |
It's 5:30pm. So those keyboards could be | :19:14. | :19:15. | |
in the boxes, into the storage room and then onto the shelf | :19:16. | :19:18. | |
within about a week, But what about a mobile phone | :19:19. | :19:20. | |
in your hands four minutes Let's put four minutes on the clock, | :19:21. | :19:27. | |
because that's what China's biggest They've let us inside their largest | :19:28. | :19:39. | |
robot-run warehouse to show us just how they can deliver, | :19:40. | :19:44. | |
often in hours, sometimes in just JD.com shift 3 million orders | :19:45. | :19:54. | |
a year from the latest Well, you might need those | :19:55. | :19:58. | |
in under four minutes. 20,000 packages an hour | :19:59. | :20:07. | |
are sorted here, not by hand, Robots pack, pick, unpack | :20:08. | :20:11. | |
and shelve, computers track, As you can see, things move pretty | :20:12. | :20:16. | |
quickly around here. Each parcel goes along that | :20:17. | :20:31. | |
conveyor belt, and then It's scanned by that bar coder, | :20:32. | :20:33. | |
which tells the machine which one of these shoots to send | :20:34. | :20:38. | |
that parcel to. That will then be taken to one | :20:39. | :20:51. | |
of over 100 different district Which means that actually now | :20:52. | :20:54. | |
in this warehouse where they used to have 500 people doing this job, | :20:55. | :21:06. | |
just with this row of shoots along This is one of the first places | :21:07. | :21:10. | |
in China where machines could replace workers entirely | :21:11. | :21:14. | |
over the next few years. These are their plans for a fully | :21:15. | :21:16. | |
automated warehouse, And self-driving | :21:17. | :21:18. | |
vehicles we know about. So drones will reach the parts that | :21:19. | :21:21. | |
others struggle to get to. This isn't just talk, | :21:22. | :21:26. | |
last month JD revealed their own prototypes for carrying anything up | :21:27. | :21:31. | |
to the size of a home computer There basically would be 200,000 | :21:32. | :21:35. | |
spots on the map where we can They will be responsible | :21:36. | :21:40. | |
for distributing to the villagers. But even if drones were allowed | :21:41. | :21:53. | |
to fly anywhere, and they won't be, it would be still tricky | :21:54. | :21:56. | |
to deliver something That's JD's record, | :21:57. | :21:58. | |
so how did they manage it? Well, this is one of more than 100 | :21:59. | :22:05. | |
much smaller delivery What they've found is if you can get | :22:06. | :22:07. | |
one of these packages to one of these local delivery places | :22:08. | :22:16. | |
before it's even been ordered, then you don't have to wait | :22:17. | :22:18. | |
for the package to come You've seen the big data, | :22:19. | :22:24. | |
we analyse the purchase pattern, we predict which small community | :22:25. | :22:32. | |
is going to have And then we deliver before | :22:33. | :22:37. | |
the ordering happens. It's like Minority | :22:38. | :22:43. | |
Report with shopping. We tailed the electric scooter | :22:44. | :22:44. | |
to see if the kettle I'd randomly chosen could be delivered in less | :22:45. | :22:47. | |
time than it would take to boil. Now you see we've caught a red light | :22:48. | :22:50. | |
there, and that's going to cost Underneath that helmet he's | :22:51. | :22:54. | |
going to be absolutely fuming. He's just gone down the bike lane | :22:55. | :22:58. | |
and I think we've lost him. In fairness, this purchase | :22:59. | :23:01. | |
hadn't been predicted, so it had to come all the way | :23:02. | :23:12. | |
from the massive Asia 1 warehouse. Still, a robot and China's | :23:13. | :23:15. | |
very own Stig delivered He's found the place, | :23:16. | :23:18. | |
and he's off the bike. So how much over the | :23:19. | :23:23. | |
four-minute record was he? We finally made it, that one took | :23:24. | :23:29. | |
about two hours and ten minutes. It would be on the sixth | :23:30. | :23:32. | |
floor, wouldn't it? Dan Simmons in the | :23:33. | :23:47. | |
suburbs of Shanghai. And that's it for us | :23:48. | :23:49. | |
in China for this week, In the meantime, you can see | :23:50. | :23:51. | |
loads of backstage photos | :23:52. | :23:56. |